how to write a hypothesis for history

Introduction to History: Creating a Hypothesis

• Research Skills
• Creating a Hypothesis
• Timelines & Chronology
• Primary & Secondary Sources
• Bias & Perspective

Source:  Markus Winkler  (2020)

Historians begin any historical inquiry by asking big questions. From these big questions, historians develop a hypothesis (a theory) about who, what, where and why certain events took place. These questions then help to frame the process of inquiry and act as a guide for the collection of evidence. Read through the resources below to learn more about creating a hypothesis.

• Developing research questions (Monash University, n.d.) This guide from Monash University takes you through the step by step process for creating a good research question.
• Creating a hypothesis (History Skills, n.d.) This article provides some examples of how to create a historical research hypothesis.
• Asking good questions (William Cronon, 2009, March 23) Developing good research questions is an essential first step of every research project, because good research questions focus your work and provide direction for your next steps. The purpose of this page is to help you learn how to create research questions from general topics, and to give you useful tips for refining your questions during the research process.

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• Last Updated: Apr 13, 2022 8:42 PM
• URL: https://library.norwood.vic.edu.au/introductiontohistory

A Step-by-Step Guide to Doing Historical Research [without getting hysterical!] In addition to being a scholarly investigation, research is a social activity intended to create new knowledge. Historical research is your informed response to the questions that you ask while examining the record of human experience. These questions may concern such elements as looking at an event or topic, examining events that lead to the event in question, social influences, key players, and other contextual information. This step-by-step guide progresses from an introduction to historical resources to information about how to identify a topic, craft a thesis and develop a research paper. Table of contents: The Range and Richness of Historical Sources Secondary Sources Primary Sources Historical Analysis What is it? Who, When, Where, What and Why: The Five "W"s Topic, Thesis, Sources Definition of Terms Choose a Topic Craft a Thesis Evaluate Thesis and Sources A Variety of Information Sources Take Efficient Notes Note Cards Thinking, Organizing, Researching Parenthetical Documentation Prepare a Works Cited Page Drafting, Revising, Rewriting, Rethinking For Further Reading: Works Cited Additional Links So you want to study history?! Tons of help and links Slatta Home Page Use the Writing and other links on the lefhand menu I. The Range and Richness of Historical Sources Back to Top Every period leaves traces, what historians call "sources" or evidence. Some are more credible or carry more weight than others; judging the differences is a vital skill developed by good historians. Sources vary in perspective, so knowing who created the information you are examining is vital. Anonymous doesn't make for a very compelling source. For example, an FBI report on the antiwar movement, prepared for U.S. President Richard Nixon, probably contained secrets that at the time were thought to have affected national security. It would not be usual, however, for a journalist's article about a campus riot, featured in a local newspaper, to leak top secret information. Which source would you read? It depends on your research topic. If you're studying how government officials portrayed student activists, you'll want to read the FBI report and many more documents from other government agencies such as the CIA and the National Security Council. If you're investigating contemporary opinion of pro-war and anti-war activists, local newspaper accounts provide a rich resource. You'd want to read a variety of newspapers to ensure you're covering a wide range of opinions (rural/urban, left/right, North/South, Soldier/Draft-dodger, etc). Historians classify sources into two major categories: primary and secondary sources. Secondary Sources Back to Top Definition: Secondary sources are created by someone who was either not present when the event occurred or removed from it in time. We use secondary sources for overview information, to familiarize ourselves with a topic, and compare that topic with other events in history. In refining a research topic, we often begin with secondary sources. This helps us identify gaps or conflicts in the existing scholarly literature that might prove promsing topics. Types: History books, encyclopedias, historical dictionaries, and academic (scholarly) articles are secondary sources. To help you determine the status of a given secondary source, see How to identify and nagivate scholarly literature . Examples: Historian Marilyn Young's (NYU) book about the Vietnam War is a secondary source. She did not participate in the war. Her study is not based on her personal experience but on the evidence she culled from a variety of sources she found in the United States and Vietnam. Primary Sources Back to Top Definition: Primary sources emanate from individuals or groups who participated in or witnessed an event and recorded that event during or immediately after the event. They include speeches, memoirs, diaries, letters, telegrams, emails, proclamations, government documents, and much more. Examples: A student activist during the war writing about protest activities has created a memoir. This would be a primary source because the information is based on her own involvement in the events she describes. Similarly, an antiwar speech is a primary source. So is the arrest record of student protesters. A newspaper editorial or article, reporting on a student demonstration is also a primary source. II. Historical Analysis What is it? Back to Top No matter what you read, whether it's a primary source or a secondary source, you want to know who authored the source (a trusted scholar? A controversial historian? A propagandist? A famous person? An ordinary individual?). "Author" refers to anyone who created information in any medium (film, sound, or text). You also need to know when it was written and the kind of audience the author intend to reach. You should also consider what you bring to the evidence that you examine. Are you inductively following a path of evidence, developing your interpretation based on the sources? Do you have an ax to grind? Did you begin your research deductively, with your mind made up before even seeing the evidence. Historians need to avoid the latter and emulate the former. To read more about the distinction, examine the difference between Intellectual Inquirers and Partisan Ideologues . In the study of history, perspective is everything. A letter written by a twenty- year old Vietnam War protestor will differ greatly from a letter written by a scholar of protest movements. Although the sentiment might be the same, the perspective and influences of these two authors will be worlds apart. Practicing the " 5 Ws " will avoid the confusion of the authority trap. Who, When, Where, What and Why: The Five "W"s Back to Top Historians accumulate evidence (information, including facts, stories, interpretations, opinions, statements, reports, etc.) from a variety of sources (primary and secondary). They must also verify that certain key pieces of information are corroborated by a number of people and sources ("the predonderance of evidence"). The historian poses the " 5 Ws " to every piece of information he examines: Who is the historical actor? When did the event take place? Where did it occur? What did it entail and why did it happen the way it did? The " 5 Ws " can also be used to evaluate a primary source. Who authored the work? When was it created? Where was it created, published, and disseminated? Why was it written (the intended audience), and what is the document about (what points is the author making)? If you know the answers to these five questions, you can analyze any document, and any primary source. The historian doesn't look for the truth, since this presumes there is only one true story. The historian tries to understand a number of competing viewpoints to form his or her own interpretation-- what constitutes the best explanation of what happened and why. By using as wide a range of primary source documents and secondary sources as possible, you will add depth and richness to your historical analysis. The more exposure you, the researcher, have to a number of different sources and differing view points, the more you have a balanced and complete view about a topic in history. This view will spark more questions and ultimately lead you into the quest to unravel more clues about your topic. You are ready to start assembling information for your research paper. III. Topic, Thesis, Sources Definition of Terms Back to Top Because your purpose is to create new knowledge while recognizing those scholars whose existing work has helped you in this pursuit, you are honor bound never to commit the following academic sins: Plagiarism: Literally "kidnapping," involving the use of someone else's words as if they were your own (Gibaldi 6). To avoid plagiarism you must document direct quotations, paraphrases, and original ideas not your own. Recycling: Rehashing material you already know thoroughly or, without your professor's permission, submitting a paper that you have completed for another course. Premature cognitive commitment: Academic jargon for deciding on a thesis too soon and then seeking information to serve that thesis rather than embarking on a genuine search for new knowledge. Choose a Topic Back to Top "Do not hunt for subjects, let them choose you, not you them." --Samuel Butler Choosing a topic is the first step in the pursuit of a thesis. Below is a logical progression from topic to thesis: Close reading of the primary text, aided by secondary sources Growing awareness of interesting qualities within the primary text Choosing a topic for research Asking productive questions that help explore and evaluate a topic Creating a research hypothesis Revising and refining a hypothesis to form a working thesis First, and most important, identify what qualities in the primary or secondary source pique your imagination and curiosity and send you on a search for answers. Bloom's taxonomy of cognitive levels provides a description of productive questions asked by critical thinkers. While the lower levels (knowledge, comprehension) are necessary to a good history essay, aspire to the upper three levels (analysis, synthesis, evaluation). Skimming reference works such as encyclopedias, books, critical essays and periodical articles can help you choose a topic that evolves into a hypothesis, which in turn may lead to a thesis. One approach to skimming involves reading the first paragraph of a secondary source to locate and evaluate the author's thesis. Then for a general idea of the work's organization and major ideas read the first and last sentence of each paragraph. Read the conclusion carefully, as it usually presents a summary (Barnet and Bedau 19). Craft a Thesis Back to Top Very often a chosen topic is too broad for focused research. You must revise it until you have a working hypothesis, that is, a statement of an idea or an approach with respect to the source that could form the basis for your thesis. Remember to not commit too soon to any one hypothesis. Use it as a divining rod or a first step that will take you to new information that may inspire you to revise your hypothesis. Be flexible. Give yourself time to explore possibilities. The hypothesis you create will mature and shift as you write and rewrite your paper. New questions will send you back to old and on to new material. Remember, this is the nature of research--it is more a spiraling or iterative activity than a linear one. Test your working hypothesis to be sure it is: broad enough to promise a variety of resources. narrow enough for you to research in depth. original enough to interest you and your readers. worthwhile enough to offer information and insights of substance "do-able"--sources are available to complete the research. Now it is time to craft your thesis, your revised and refined hypothesis. A thesis is a declarative sentence that: focuses on one well-defined idea makes an arguable assertion; it is capable of being supported prepares your readers for the body of your paper and foreshadows the conclusion. Evaluate Thesis and Sources Back to Top Like your hypothesis, your thesis is not carved in stone. You are in charge. If necessary, revise it during the research process. As you research, continue to evaluate both your thesis for practicality, originality, and promise as a search tool, and secondary sources for relevance and scholarliness. The following are questions to ask during the research process: Are there many journal articles and entire books devoted to the thesis, suggesting that the subject has been covered so thoroughly that there may be nothing new to say? Does the thesis lead to stimulating, new insights? Are appropriate sources available? Is there a variety of sources available so that the bibliography or works cited page will reflect different kinds of sources? Which sources are too broad for my thesis? Which resources are too narrow? Who is the author of the secondary source? Does the critic's background suggest that he/she is qualified? After crafting a thesis, consider one of the following two approaches to writing a research paper: Excited about your thesis and eager to begin? Return to the primary or secondary source to find support for your thesis. Organize ideas and begin writing your first draft. After writing the first draft, have it reviewed by your peers and your instructor. Ponder their suggestions and return to the sources to answer still-open questions. Document facts and opinions from secondary sources. Remember, secondary sources can never substitute for primary sources. Confused about where to start? Use your thesis to guide you to primary and secondary sources. Secondary sources can help you clarify your position and find a direction for your paper. Keep a working bibliography. You may not use all the sources you record, but you cannot be sure which ones you will eventually discard. Create a working outline as you research. This outline will, of course, change as you delve more deeply into your subject. A Variety of Information Sources Back to Top "A mind that is stretched to a new idea never returns to its original dimension." --Oliver Wendell Holmes Your thesis and your working outline are the primary compasses that will help you navigate the variety of sources available. In "Introduction to the Library" (5-6) the MLA Handbook for Writers of Research Papers suggests you become familiar with the library you will be using by: taking a tour or enrolling for a brief introductory lecture referring to the library's publications describing its resources introducing yourself and your project to the reference librarian The MLA Handbook also lists guides for the use of libraries (5), including: Jean Key Gates, Guide to the Use of Libraries and Information Sources (7th ed., New York: McGraw, 1994). Thomas Mann, A Guide to Library Research Methods (New York: Oxford UP, 1987). Online Central Catalog Most libraries have their holdings listed on a computer. The online catalog may offer Internet sites, Web pages and databases that relate to the university's curriculum. It may also include academic journals and online reference books. Below are three search techniques commonly used online: Index Search: Although online catalogs may differ slightly from library to library, the most common listings are by: Subject Search: Enter the author's name for books and article written about the author. Author Search: Enter an author's name for works written by the author, including collections of essays the author may have written about his/her own works. Title Search: Enter a title for the screen to list all the books the library carries with that title. Key Word Search/Full-text Search: A one-word search, e.g., 'Kennedy,' will produce an overwhelming number of sources, as it will call up any entry that includes the name 'Kennedy.' To focus more narrowly on your subject, add one or more key words, e.g., "John Kennedy, Peace Corps." Use precise key words. Boolean Search: Boolean Search techniques use words such as "and," "or," and "not," which clarify the relationship between key words, thus narrowing the search. Take Efficient Notes Back to Top Keeping complete and accurate bibliography and note cards during the research process is a time (and sanity) saving practice. If you have ever needed a book or pages within a book, only to discover that an earlier researcher has failed to return it or torn pages from your source, you understand the need to take good notes. Every researcher has a favorite method for taking notes. Here are some suggestions-- customize one of them for your own use. Bibliography cards There may be far more books and articles listed than you have time to read, so be selective when choosing a reference. Take information from works that clearly relate to your thesis, remembering that you may not use them all. Use a smaller or a different color card from the one used for taking notes. Write a bibliography card for every source. Number the bibliography cards. On the note cards, use the number rather than the author's name and the title. It's faster. Another method for recording a working bibliography, of course, is to create your own database. Adding, removing, and alphabetizing titles is a simple process. Be sure to save often and to create a back-up file. A bibliography card should include all the information a reader needs to locate that particular source for further study. Most of the information required for a book entry (Gibaldi 112): Author's name Title of a part of the book [preface, chapter titles, etc.] Title of the book Name of the editor, translator, or compiler Edition used Number(s) of the volume(s) used Name of the series Place of publication, name of the publisher, and date of publication Page numbers Supplementary bibliographic information and annotations Most of the information required for an article in a periodical (Gibaldi 141): Author's name Title of the article Name of the periodical Series number or name (if relevant) Volume number (for a scholarly journal) Issue number (if needed) Date of publication Page numbers Supplementary information For information on how to cite other sources refer to your So you want to study history page . Note Cards Back to Top Take notes in ink on either uniform note cards (3x5, 4x6, etc.) or uniform slips of paper. Devote each note card to a single topic identified at the top. Write only on one side. Later, you may want to use the back to add notes or personal observations. Include a topical heading for each card. Include the number of the page(s) where you found the information. You will want the page number(s) later for documentation, and you may also want page number(s)to verify your notes. Most novice researchers write down too much. Condense. Abbreviate. You are striving for substance, not quantity. Quote directly from primary sources--but the "meat," not everything. Suggestions for condensing information: Summary: A summary is intended to provide the gist of an essay. Do not weave in the author's choice phrases. Read the information first and then condense the main points in your own words. This practice will help you avoid the copying that leads to plagiarism. Summarizing also helps you both analyze the text you are reading and evaluate its strengths and weaknesses (Barnet and Bedau 13). Outline: Use to identify a series of points. Paraphrase, except for key primary source quotations. Never quote directly from a secondary source, unless the precise wording is essential to your argument. Simplify the language and list the ideas in the same order. A paraphrase is as long as the original. Paraphrasing is helpful when you are struggling with a particularly difficult passage. Be sure to jot down your own insights or flashes of brilliance. Ralph Waldo Emerson warns you to "Look sharply after your thoughts. They come unlooked for, like a new bird seen on your trees, and, if you turn to your usual task, disappear...." To differentiate these insights from those of the source you are reading, initial them as your own. (When the following examples of note cards include the researcher's insights, they will be followed by the initials N. R.) When you have finished researching your thesis and you are ready to write your paper, organize your cards according to topic. Notecards make it easy to shuffle and organize your source information on a table-- or across the floor. Maintain your working outline that includes the note card headings and explores a logical order for presenting them in your paper. IV. Begin Thinking, Researching, Organizing Back to Top Don't be too sequential. Researching, writing, revising is a complex interactive process. Start writing as soon as possible! "The best antidote to writer's block is--to write." (Klauser 15). However, you still feel overwhelmed and are staring at a blank page, you are not alone. Many students find writing the first sentence to be the most daunting part of the entire research process. Be creative. Cluster (Rico 28-49). Clustering is a form of brainstorming. Sometimes called a web, the cluster forms a design that may suggest a natural organization for a paper. Here's a graphical depiction of brainstorming . Like a sun, the generating idea or topic lies at the center of the web. From it radiate words, phrases, sentences and images that in turn attract other words, phrases, sentences and images. Put another way--stay focused. Start with your outline. If clustering is not a technique that works for you, turn to the working outline you created during the research process. Use the outline view of your word processor. If you have not already done so, group your note cards according to topic headings. Compare them to your outline's major points. If necessary, change the outline to correspond with the headings on the note cards. If any area seems weak because of a scarcity of facts or opinions, return to your primary and/or secondary sources for more information or consider deleting that heading. Use your outline to provide balance in your essay. Each major topic should have approximately the same amount of information. Once you have written a working outline, consider two different methods for organizing it. Deduction: A process of development that moves from the general to the specific. You may use this approach to present your findings. However, as noted above, your research and interpretive process should be inductive. Deduction is the most commonly used form of organization for a research paper. The thesis statement is the generalization that leads to the specific support provided by primary and secondary sources. The thesis is stated early in the paper. The body of the paper then proceeds to provide the facts, examples, and analogies that flow logically from that thesis. The thesis contains key words that are reflected in the outline. These key words become a unifying element throughout the paper, as they reappear in the detailed paragraphs that support and develop the thesis. The conclusion of the paper circles back to the thesis, which is now far more meaningful because of the deductive development that supports it. Chronological order A process that follows a traditional time line or sequence of events. A chronological organization is useful for a paper that explores cause and effect. Parenthetical Documentation Back to Top The Works Cited page, a list of primary and secondary sources, is not sufficient documentation to acknowledge the ideas, facts, and opinions you have included within your text. The MLA Handbook for Writers of Research Papers describes an efficient parenthetical style of documentation to be used within the body of your paper. Guidelines for parenthetical documentation: "References to the text must clearly point to specific sources in the list of works cited" (Gibaldi 184). Try to use parenthetical documentation as little as possible. For example, when you cite an entire work, it is preferable to include the author's name in the text. The author's last name followed by the page number is usually enough for an accurate identification of the source in the works cited list. These examples illustrate the most common kinds of documentation. Documenting a quotation: Ex. "The separation from the personal mother is a particularly intense process for a daughter because she has to separate from the one who is the same as herself" (Murdock 17). She may feel abandoned and angry. Note: The author of The Heroine's Journey is listed under Works Cited by the author's name, reversed--Murdock, Maureen. Quoted material is found on page 17 of that book. Parenthetical documentation is after the quotation mark and before the period. Documenting a paraphrase: Ex. In fairy tales a woman who holds the princess captive or who abandons her often needs to be killed (18). Note: The second paraphrase is also from Murdock's book The Heroine's Journey. It is not, however, necessary to repeat the author's name if no other documentation interrupts the two. If the works cited page lists more than one work by the same author, include within the parentheses an abbreviated form of the appropriate title. You may, of course, include the title in your sentence, making it unnecessary to add an abbreviated title in the citation. > Prepare a Works Cited Page Back to Top There are a variety of titles for the page that lists primary and secondary sources (Gibaldi 106-107). A Works Cited page lists those works you have cited within the body of your paper. The reader need only refer to it for the necessary information required for further independent research. Bibliography means literally a description of books. Because your research may involve the use of periodicals, films, art works, photographs, etc. "Works Cited" is a more precise descriptive term than bibliography. An Annotated Bibliography or Annotated Works Cited page offers brief critiques and descriptions of the works listed. A Works Consulted page lists those works you have used but not cited. Avoid using this format. As with other elements of a research paper there are specific guidelines for the placement and the appearance of the Works Cited page. The following guidelines comply with MLA style: The Work Cited page is placed at the end of your paper and numbered consecutively with the body of your paper. Center the title and place it one inch from the top of your page. Do not quote or underline the title. Double space the entire page, both within and between entries. The entries are arranged alphabetically by the author's last name or by the title of the article or book being cited. If the title begins with an article (a, an, the) alphabetize by the next word. If you cite two or more works by the same author, list the titles in alphabetical order. Begin every entry after the first with three hyphens followed by a period. All entries begin at the left margin but subsequent lines are indented five spaces. Be sure that each entry cited on the Works Cited page corresponds to a specific citation within your paper. Refer to the the MLA Handbook for Writers of Research Papers (104- 182) for detailed descriptions of Work Cited entries. Citing sources from online databases is a relatively new phenomenon. Make sure to ask your professor about citing these sources and which style to use. V. Draft, Revise, Rewrite, Rethink Back to Top "There are days when the result is so bad that no fewer than five revisions are required. In contrast, when I'm greatly inspired, only four revisions are needed." --John Kenneth Galbraith Try freewriting your first draft. Freewriting is a discovery process during which the writer freely explores a topic. Let your creative juices flow. In Writing without Teachers , Peter Elbow asserts that "[a]lmost everybody interposes a massive and complicated series of editings between the time words start to be born into consciousness and when they finally come off the end of the pencil or typewriter [or word processor] onto the page" (5). Do not let your internal judge interfere with this first draft. Creating and revising are two very different functions. Don't confuse them! If you stop to check spelling, punctuation, or grammar, you disrupt the flow of creative energy. Create; then fix it later. When material you have researched comes easily to mind, include it. Add a quick citation, one you can come back to later to check for form, and get on with your discovery. In subsequent drafts, focus on creating an essay that flows smoothly, supports fully, and speaks clearly and interestingly. Add style to substance. Create a smooth flow of words, ideas and paragraphs. Rearrange paragraphs for a logical progression of information. Transition is essential if you want your reader to follow you smoothly from introduction to conclusion. Transitional words and phrases stitch your ideas together; they provide coherence within the essay. External transition: Words and phrases that are added to a sentence as overt signs of transition are obvious and effective, but should not be overused, as they may draw attention to themselves and away from ideas. Examples of external transition are "however," "then," "next," "therefore." "first," "moreover," and "on the other hand." Internal transition is more subtle. Key words in the introduction become golden threads when they appear in the paper's body and conclusion. When the writer hears a key word repeated too often, however, she/he replaces it with a synonym or a pronoun. Below are examples of internal transition. Transitional sentences create a logical flow from paragraph to paragraph. Iclude individual words, phrases, or clauses that refer to previous ideas and that point ahead to new ones. They are usually placed at the end or at the beginning of a paragraph. A transitional paragraph conducts your reader from one part of the paper to another. It may be only a few sentences long. Each paragraph of the body of the paper should contain adequate support for its one governing idea. Speak/write clearly, in your own voice. Tone: The paper's tone, whether formal, ironic, or humorous, should be appropriate for the audience and the subject. Voice: Keep you language honest. Your paper should sound like you. Understand, paraphrase, absorb, and express in your own words the information you have researched. Avoid phony language. Sentence formation: When you polish your sentences, read them aloud for word choice and word placement. Be concise. Strunk and White in The Elements of Style advise the writer to "omit needless words" (23). First, however, you must recognize them. Keep yourself and your reader interested. In fact, Strunk's 1918 writing advice is still well worth pondering. First, deliver on your promises. Be sure the body of your paper fulfills the promise of the introduction. Avoid the obvious. Offer new insights. Reveal the unexpected. Have you crafted your conclusion as carefully as you have your introduction? Conclusions are not merely the repetition of your thesis. The conclusion of a research paper is a synthesis of the information presented in the body. Your research has led you to conclusions and opinions that have helped you understand your thesis more deeply and more clearly. Lift your reader to the full level of understanding that you have achieved. Revision means "to look again." Find a peer reader to read your paper with you present. Or, visit your college or university's writing lab. Guide your reader's responses by asking specific questions. Are you unsure of the logical order of your paragraphs? Do you want to know whether you have supported all opinions adequately? Are you concerned about punctuation or grammar? Ask that these issues be addressed. You are in charge. Here are some techniques that may prove helpful when you are revising alone or with a reader. When you edit for spelling errors read the sentences backwards. This procedure will help you look closely at individual words. Always read your paper aloud. Hearing your own words puts them in a new light. Listen to the flow of ideas and of language. Decide whether or not the voice sounds honest and the tone is appropriate to the purpose of the paper and to your audience. Listen for awkward or lumpy wording. Find the one right word, Eliminate needless words. Combine sentences. Kill the passive voice. Eliminate was/were/is/are constructions. They're lame and anti-historical. Be ruthless. If an idea doesn't serve your thesis, banish it, even if it's one of your favorite bits of prose. In the margins, write the major topic of each paragraph. By outlining after you have written the paper, you are once again evaluating your paper's organization. OK, you've got the process down. Now execute! And enjoy! It's not everyday that you get to make history. VI. For Further Reading: Works Cited Back to Top Barnet, Sylvan, and Hugo Bedau. Critical Thinking, Reading, and Writing: A Brief Guide to Argument. Boston: Bedford, 1993. Brent, Doug. Reading as Rhetorical Invention: Knowledge,Persuasion and the Teaching of Research-Based Writing. Urbana: NCTE, 1992. Elbow, Peter. Writing without Teachers. New York: Oxford University Press, 1973. Gibladi, Joseph. MLA Handbook for Writers of Research Papers. 4th ed. New York: Modern Language Association, 1995. Horvitz, Deborah. "Nameless Ghosts: Possession and Dispossession in Beloved." Studies in American Fiction , Vol. 17, No. 2, Autum, 1989, pp. 157-167. Republished in the Literature Research Center. Gale Group. (1 January 1999). Klauser, Henriette Anne. Writing on Both Sides of the Brain: Breakthrough Techniques for People Who Write. Philadelphia: Harper, 1986. Rico, Gabriele Lusser. Writing the Natural Way: Using Right Brain Techniques to Release Your Expressive Powers. Los Angeles: Houghton, 1983. Sorenson, Sharon. The Research Paper: A Contemporary Approach. New York: AMSCO, 1994. Strunk, William, Jr., and E. B. White. The Elements of Style. 3rd ed. New York: MacMillan, 1979. Back to Top This guide adapted from materials published by Thomson Gale, publishers. For free resources, including a generic guide to writing term papers, see the Gale.com website , which also includes product information for schools.

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• How to Write a Strong Hypothesis | Steps & Examples

How to Write a Strong Hypothesis | Steps & Examples

Published on May 6, 2022 by Shona McCombes . Revised on November 20, 2023.

A hypothesis is a statement that can be tested by scientific research. If you want to test a relationship between two or more variables, you need to write hypotheses before you start your experiment or data collection .

Example: Hypothesis

Daily apple consumption leads to fewer doctor’s visits.

Table of contents

What is a hypothesis, developing a hypothesis (with example), hypothesis examples, other interesting articles, frequently asked questions about writing hypotheses.

A hypothesis states your predictions about what your research will find. It is a tentative answer to your research question that has not yet been tested. For some research projects, you might have to write several hypotheses that address different aspects of your research question.

A hypothesis is not just a guess – it should be based on existing theories and knowledge. It also has to be testable, which means you can support or refute it through scientific research methods (such as experiments, observations and statistical analysis of data).

Variables in hypotheses

Hypotheses propose a relationship between two or more types of variables .

• An independent variable is something the researcher changes or controls.
• A dependent variable is something the researcher observes and measures.

If there are any control variables , extraneous variables , or confounding variables , be sure to jot those down as you go to minimize the chances that research bias  will affect your results.

In this example, the independent variable is exposure to the sun – the assumed cause . The dependent variable is the level of happiness – the assumed effect .

Prevent plagiarism. Run a free check.

Step 1. ask a question.

Writing a hypothesis begins with a research question that you want to answer. The question should be focused, specific, and researchable within the constraints of your project.

Step 2. Do some preliminary research

Your initial answer to the question should be based on what is already known about the topic. Look for theories and previous studies to help you form educated assumptions about what your research will find.

At this stage, you might construct a conceptual framework to ensure that you’re embarking on a relevant topic . This can also help you identify which variables you will study and what you think the relationships are between them. Sometimes, you’ll have to operationalize more complex constructs.

Step 3. Formulate your hypothesis

Now you should have some idea of what you expect to find. Write your initial answer to the question in a clear, concise sentence.

4. Refine your hypothesis

You need to make sure your hypothesis is specific and testable. There are various ways of phrasing a hypothesis, but all the terms you use should have clear definitions, and the hypothesis should contain:

• The relevant variables
• The specific group being studied
• The predicted outcome of the experiment or analysis

5. Phrase your hypothesis in three ways

To identify the variables, you can write a simple prediction in  if…then form. The first part of the sentence states the independent variable and the second part states the dependent variable.

In academic research, hypotheses are more commonly phrased in terms of correlations or effects, where you directly state the predicted relationship between variables.

If you are comparing two groups, the hypothesis can state what difference you expect to find between them.

6. Write a null hypothesis

If your research involves statistical hypothesis testing , you will also have to write a null hypothesis . The null hypothesis is the default position that there is no association between the variables. The null hypothesis is written as H 0 , while the alternative hypothesis is H 1 or H a .

• H 0 : The number of lectures attended by first-year students has no effect on their final exam scores.
• H 1 : The number of lectures attended by first-year students has a positive effect on their final exam scores.

If you want to know more about the research process , methodology , research bias , or statistics , make sure to check out some of our other articles with explanations and examples.

• Sampling methods
• Simple random sampling
• Stratified sampling
• Cluster sampling
• Likert scales
• Reproducibility

 Statistics

• Null hypothesis
• Statistical power
• Probability distribution
• Effect size
• Poisson distribution

Research bias

• Optimism bias
• Cognitive bias
• Implicit bias
• Hawthorne effect
• Anchoring bias
• Explicit bias

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A hypothesis is not just a guess — it should be based on existing theories and knowledge. It also has to be testable, which means you can support or refute it through scientific research methods (such as experiments, observations and statistical analysis of data).

Null and alternative hypotheses are used in statistical hypothesis testing . The null hypothesis of a test always predicts no effect or no relationship between variables, while the alternative hypothesis states your research prediction of an effect or relationship.

Hypothesis testing is a formal procedure for investigating our ideas about the world using statistics. It is used by scientists to test specific predictions, called hypotheses , by calculating how likely it is that a pattern or relationship between variables could have arisen by chance.

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McCombes, S. (2023, November 20). How to Write a Strong Hypothesis | Steps & Examples. Scribbr. Retrieved September 13, 2024, from https://www.scribbr.com/methodology/hypothesis/

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What is a Research Hypothesis: How to Write it, Types, and Examples

Any research begins with a research question and a research hypothesis . A research question alone may not suffice to design the experiment(s) needed to answer it. A hypothesis is central to the scientific method. But what is a hypothesis ? A hypothesis is a testable statement that proposes a possible explanation to a phenomenon, and it may include a prediction. Next, you may ask what is a research hypothesis ? Simply put, a research hypothesis is a prediction or educated guess about the relationship between the variables that you want to investigate.  

It is important to be thorough when developing your research hypothesis. Shortcomings in the framing of a hypothesis can affect the study design and the results. A better understanding of the research hypothesis definition and characteristics of a good hypothesis will make it easier for you to develop your own hypothesis for your research. Let’s dive in to know more about the types of research hypothesis , how to write a research hypothesis , and some research hypothesis examples .  

Table of Contents

What is a hypothesis ?  

A hypothesis is based on the existing body of knowledge in a study area. Framed before the data are collected, a hypothesis states the tentative relationship between independent and dependent variables, along with a prediction of the outcome.  

What is a research hypothesis ?  

Young researchers starting out their journey are usually brimming with questions like “ What is a hypothesis ?” “ What is a research hypothesis ?” “How can I write a good research hypothesis ?”   

A research hypothesis is a statement that proposes a possible explanation for an observable phenomenon or pattern. It guides the direction of a study and predicts the outcome of the investigation. A research hypothesis is testable, i.e., it can be supported or disproven through experimentation or observation.     

Characteristics of a good hypothesis  

Here are the characteristics of a good hypothesis :  

• Clearly formulated and free of language errors and ambiguity  
• Concise and not unnecessarily verbose  
• Has clearly defined variables  
• Testable and stated in a way that allows for it to be disproven  
• Can be tested using a research design that is feasible, ethical, and practical   
• Specific and relevant to the research problem  
• Rooted in a thorough literature search  
• Can generate new knowledge or understanding.  

How to create an effective research hypothesis  

A study begins with the formulation of a research question. A researcher then performs background research. This background information forms the basis for building a good research hypothesis . The researcher then performs experiments, collects, and analyzes the data, interprets the findings, and ultimately, determines if the findings support or negate the original hypothesis.  

Let’s look at each step for creating an effective, testable, and good research hypothesis :  

• Identify a research problem or question: Start by identifying a specific research problem.   
• Review the literature: Conduct an in-depth review of the existing literature related to the research problem to grasp the current knowledge and gaps in the field.   
• Formulate a clear and testable hypothesis : Based on the research question, use existing knowledge to form a clear and testable hypothesis . The hypothesis should state a predicted relationship between two or more variables that can be measured and manipulated. Improve the original draft till it is clear and meaningful.  
• State the null hypothesis: The null hypothesis is a statement that there is no relationship between the variables you are studying.   
• Define the population and sample: Clearly define the population you are studying and the sample you will be using for your research.  
• Select appropriate methods for testing the hypothesis: Select appropriate research methods, such as experiments, surveys, or observational studies, which will allow you to test your research hypothesis .  

Remember that creating a research hypothesis is an iterative process, i.e., you might have to revise it based on the data you collect. You may need to test and reject several hypotheses before answering the research problem.  

How to write a research hypothesis  

When you start writing a research hypothesis , you use an “if–then” statement format, which states the predicted relationship between two or more variables. Clearly identify the independent variables (the variables being changed) and the dependent variables (the variables being measured), as well as the population you are studying. Review and revise your hypothesis as needed.  

An example of a research hypothesis in this format is as follows:  

“ If [athletes] follow [cold water showers daily], then their [endurance] increases.”  

Population: athletes  

Independent variable: daily cold water showers  

Dependent variable: endurance  

You may have understood the characteristics of a good hypothesis . But note that a research hypothesis is not always confirmed; a researcher should be prepared to accept or reject the hypothesis based on the study findings.  

Research hypothesis checklist  

Following from above, here is a 10-point checklist for a good research hypothesis :  

• Testable: A research hypothesis should be able to be tested via experimentation or observation.  
• Specific: A research hypothesis should clearly state the relationship between the variables being studied.  
• Based on prior research: A research hypothesis should be based on existing knowledge and previous research in the field.  
• Falsifiable: A research hypothesis should be able to be disproven through testing.  
• Clear and concise: A research hypothesis should be stated in a clear and concise manner.  
• Logical: A research hypothesis should be logical and consistent with current understanding of the subject.  
• Relevant: A research hypothesis should be relevant to the research question and objectives.  
• Feasible: A research hypothesis should be feasible to test within the scope of the study.  
• Reflects the population: A research hypothesis should consider the population or sample being studied.  
• Uncomplicated: A good research hypothesis is written in a way that is easy for the target audience to understand.  

By following this research hypothesis checklist , you will be able to create a research hypothesis that is strong, well-constructed, and more likely to yield meaningful results.  

Types of research hypothesis  

Different types of research hypothesis are used in scientific research:  

1. Null hypothesis:

A null hypothesis states that there is no change in the dependent variable due to changes to the independent variable. This means that the results are due to chance and are not significant. A null hypothesis is denoted as H0 and is stated as the opposite of what the alternative hypothesis states.   

Example: “ The newly identified virus is not zoonotic .”  

2. Alternative hypothesis:

This states that there is a significant difference or relationship between the variables being studied. It is denoted as H1 or Ha and is usually accepted or rejected in favor of the null hypothesis.  

Example: “ The newly identified virus is zoonotic .”  

3. Directional hypothesis :

This specifies the direction of the relationship or difference between variables; therefore, it tends to use terms like increase, decrease, positive, negative, more, or less.   

Example: “ The inclusion of intervention X decreases infant mortality compared to the original treatment .”   

4. Non-directional hypothesis:

While it does not predict the exact direction or nature of the relationship between the two variables, a non-directional hypothesis states the existence of a relationship or difference between variables but not the direction, nature, or magnitude of the relationship. A non-directional hypothesis may be used when there is no underlying theory or when findings contradict previous research.  

Example, “ Cats and dogs differ in the amount of affection they express .”  

5. Simple hypothesis :

A simple hypothesis only predicts the relationship between one independent and another independent variable.  

Example: “ Applying sunscreen every day slows skin aging .”  

6 . Complex hypothesis :

A complex hypothesis states the relationship or difference between two or more independent and dependent variables.   

Example: “ Applying sunscreen every day slows skin aging, reduces sun burn, and reduces the chances of skin cancer .” (Here, the three dependent variables are slowing skin aging, reducing sun burn, and reducing the chances of skin cancer.)  

7. Associative hypothesis:  

An associative hypothesis states that a change in one variable results in the change of the other variable. The associative hypothesis defines interdependency between variables.  

Example: “ There is a positive association between physical activity levels and overall health .”  

8 . Causal hypothesis:

A causal hypothesis proposes a cause-and-effect interaction between variables.  

Example: “ Long-term alcohol use causes liver damage .”  

Note that some of the types of research hypothesis mentioned above might overlap. The types of hypothesis chosen will depend on the research question and the objective of the study.  

Research hypothesis examples  

Here are some good research hypothesis examples :  

“The use of a specific type of therapy will lead to a reduction in symptoms of depression in individuals with a history of major depressive disorder.”  

“Providing educational interventions on healthy eating habits will result in weight loss in overweight individuals.”  

“Plants that are exposed to certain types of music will grow taller than those that are not exposed to music.”  

“The use of the plant growth regulator X will lead to an increase in the number of flowers produced by plants.”  

Characteristics that make a research hypothesis weak are unclear variables, unoriginality, being too general or too vague, and being untestable. A weak hypothesis leads to weak research and improper methods.   

Some bad research hypothesis examples (and the reasons why they are “bad”) are as follows:  

“This study will show that treatment X is better than any other treatment . ” (This statement is not testable, too broad, and does not consider other treatments that may be effective.)  

“This study will prove that this type of therapy is effective for all mental disorders . ” (This statement is too broad and not testable as mental disorders are complex and different disorders may respond differently to different types of therapy.)  

“Plants can communicate with each other through telepathy . ” (This statement is not testable and lacks a scientific basis.)  

Importance of testable hypothesis  

If a research hypothesis is not testable, the results will not prove or disprove anything meaningful. The conclusions will be vague at best. A testable hypothesis helps a researcher focus on the study outcome and understand the implication of the question and the different variables involved. A testable hypothesis helps a researcher make precise predictions based on prior research.  

To be considered testable, there must be a way to prove that the hypothesis is true or false; further, the results of the hypothesis must be reproducible.  

Frequently Asked Questions (FAQs) on research hypothesis  

1. What is the difference between research question and research hypothesis ?  

A research question defines the problem and helps outline the study objective(s). It is an open-ended statement that is exploratory or probing in nature. Therefore, it does not make predictions or assumptions. It helps a researcher identify what information to collect. A research hypothesis , however, is a specific, testable prediction about the relationship between variables. Accordingly, it guides the study design and data analysis approach.

2. When to reject null hypothesis ?

A null hypothesis should be rejected when the evidence from a statistical test shows that it is unlikely to be true. This happens when the test statistic (e.g., p -value) is less than the defined significance level (e.g., 0.05). Rejecting the null hypothesis does not necessarily mean that the alternative hypothesis is true; it simply means that the evidence found is not compatible with the null hypothesis.  

3. How can I be sure my hypothesis is testable?  

A testable hypothesis should be specific and measurable, and it should state a clear relationship between variables that can be tested with data. To ensure that your hypothesis is testable, consider the following:  

• Clearly define the key variables in your hypothesis. You should be able to measure and manipulate these variables in a way that allows you to test the hypothesis.  
• The hypothesis should predict a specific outcome or relationship between variables that can be measured or quantified.   
• You should be able to collect the necessary data within the constraints of your study.  
• It should be possible for other researchers to replicate your study, using the same methods and variables.   
• Your hypothesis should be testable by using appropriate statistical analysis techniques, so you can draw conclusions, and make inferences about the population from the sample data.  
• The hypothesis should be able to be disproven or rejected through the collection of data.  

4. How do I revise my research hypothesis if my data does not support it?  

If your data does not support your research hypothesis , you will need to revise it or develop a new one. You should examine your data carefully and identify any patterns or anomalies, re-examine your research question, and/or revisit your theory to look for any alternative explanations for your results. Based on your review of the data, literature, and theories, modify your research hypothesis to better align it with the results you obtained. Use your revised hypothesis to guide your research design and data collection. It is important to remain objective throughout the process.  

5. I am performing exploratory research. Do I need to formulate a research hypothesis?  

As opposed to “confirmatory” research, where a researcher has some idea about the relationship between the variables under investigation, exploratory research (or hypothesis-generating research) looks into a completely new topic about which limited information is available. Therefore, the researcher will not have any prior hypotheses. In such cases, a researcher will need to develop a post-hoc hypothesis. A post-hoc research hypothesis is generated after these results are known.  

6. How is a research hypothesis different from a research question?

A research question is an inquiry about a specific topic or phenomenon, typically expressed as a question. It seeks to explore and understand a particular aspect of the research subject. In contrast, a research hypothesis is a specific statement or prediction that suggests an expected relationship between variables. It is formulated based on existing knowledge or theories and guides the research design and data analysis.

7. Can a research hypothesis change during the research process?

Yes, research hypotheses can change during the research process. As researchers collect and analyze data, new insights and information may emerge that require modification or refinement of the initial hypotheses. This can be due to unexpected findings, limitations in the original hypotheses, or the need to explore additional dimensions of the research topic. Flexibility is crucial in research, allowing for adaptation and adjustment of hypotheses to align with the evolving understanding of the subject matter.

8. How many hypotheses should be included in a research study?

The number of research hypotheses in a research study varies depending on the nature and scope of the research. It is not necessary to have multiple hypotheses in every study. Some studies may have only one primary hypothesis, while others may have several related hypotheses. The number of hypotheses should be determined based on the research objectives, research questions, and the complexity of the research topic. It is important to ensure that the hypotheses are focused, testable, and directly related to the research aims.

9. Can research hypotheses be used in qualitative research?

Yes, research hypotheses can be used in qualitative research, although they are more commonly associated with quantitative research. In qualitative research, hypotheses may be formulated as tentative or exploratory statements that guide the investigation. Instead of testing hypotheses through statistical analysis, qualitative researchers may use the hypotheses to guide data collection and analysis, seeking to uncover patterns, themes, or relationships within the qualitative data. The emphasis in qualitative research is often on generating insights and understanding rather than confirming or rejecting specific research hypotheses through statistical testing.

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• How to Write a Strong Hypothesis | Guide & Examples

How to Write a Strong Hypothesis | Guide & Examples

Published on 6 May 2022 by Shona McCombes .

A hypothesis is a statement that can be tested by scientific research. If you want to test a relationship between two or more variables, you need to write hypotheses before you start your experiment or data collection.

Table of contents

What is a hypothesis, developing a hypothesis (with example), hypothesis examples, frequently asked questions about writing hypotheses.

A hypothesis states your predictions about what your research will find. It is a tentative answer to your research question that has not yet been tested. For some research projects, you might have to write several hypotheses that address different aspects of your research question.

A hypothesis is not just a guess – it should be based on existing theories and knowledge. It also has to be testable, which means you can support or refute it through scientific research methods (such as experiments, observations, and statistical analysis of data).

Variables in hypotheses

Hypotheses propose a relationship between two or more variables . An independent variable is something the researcher changes or controls. A dependent variable is something the researcher observes and measures.

In this example, the independent variable is exposure to the sun – the assumed cause . The dependent variable is the level of happiness – the assumed effect .

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Step 1: ask a question.

Writing a hypothesis begins with a research question that you want to answer. The question should be focused, specific, and researchable within the constraints of your project.

Step 2: Do some preliminary research

Your initial answer to the question should be based on what is already known about the topic. Look for theories and previous studies to help you form educated assumptions about what your research will find.

At this stage, you might construct a conceptual framework to identify which variables you will study and what you think the relationships are between them. Sometimes, you’ll have to operationalise more complex constructs.

Step 3: Formulate your hypothesis

Now you should have some idea of what you expect to find. Write your initial answer to the question in a clear, concise sentence.

Step 4: Refine your hypothesis

You need to make sure your hypothesis is specific and testable. There are various ways of phrasing a hypothesis, but all the terms you use should have clear definitions, and the hypothesis should contain:

• The relevant variables
• The specific group being studied
• The predicted outcome of the experiment or analysis

Step 5: Phrase your hypothesis in three ways

To identify the variables, you can write a simple prediction in if … then form. The first part of the sentence states the independent variable and the second part states the dependent variable.

In academic research, hypotheses are more commonly phrased in terms of correlations or effects, where you directly state the predicted relationship between variables.

If you are comparing two groups, the hypothesis can state what difference you expect to find between them.

Step 6. Write a null hypothesis

If your research involves statistical hypothesis testing , you will also have to write a null hypothesis. The null hypothesis is the default position that there is no association between the variables. The null hypothesis is written as H 0 , while the alternative hypothesis is H 1 or H a .

Hypothesis testing is a formal procedure for investigating our ideas about the world using statistics. It is used by scientists to test specific predictions, called hypotheses , by calculating how likely it is that a pattern or relationship between variables could have arisen by chance.

A hypothesis is not just a guess. It should be based on existing theories and knowledge. It also has to be testable, which means you can support or refute it through scientific research methods (such as experiments, observations, and statistical analysis of data).

A research hypothesis is your proposed answer to your research question. The research hypothesis usually includes an explanation (‘ x affects y because …’).

A statistical hypothesis, on the other hand, is a mathematical statement about a population parameter. Statistical hypotheses always come in pairs: the null and alternative hypotheses. In a well-designed study , the statistical hypotheses correspond logically to the research hypothesis.

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McCombes, S. (2022, May 06). How to Write a Strong Hypothesis | Guide & Examples. Scribbr. Retrieved 9 September 2024, from https://www.scribbr.co.uk/research-methods/hypothesis-writing/

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Learn How To Write A Hypothesis For Your Next Research Project!

Undoubtedly, research plays a crucial role in substantiating or refuting our assumptions. These assumptions act as potential answers to our questions. Such assumptions, also known as hypotheses, are considered key aspects of research. In this blog, we delve into the significance of hypotheses. And provide insights on how to write them effectively. So, let’s dive in and explore the art of writing hypotheses together.

Table of Contents

What is a Hypothesis?

A hypothesis is a crucial starting point in scientific research. It is an educated guess about the relationship between two or more variables. In other words, a hypothesis acts as a foundation for a researcher to build their study.

Here are some examples of well-crafted hypotheses:

• Increased exposure to natural sunlight improves sleep quality in adults.

A positive relationship between natural sunlight exposure and sleep quality in adult individuals.

• Playing puzzle games on a regular basis enhances problem-solving abilities in children.

Engaging in frequent puzzle gameplay leads to improved problem-solving skills in children.

• Students and improved learning hecks.

S tudents using online  paper writing service  platforms (as a learning tool for receiving personalized feedback and guidance) will demonstrate improved writing skills. (compared to those who do not utilize such platforms).

• The use of APA format in research papers. 

Using the  APA format  helps students stay organized when writing research papers. Organized students can focus better on their topics and, as a result, produce better quality work.

The Building Blocks of a Hypothesis

To better understand the concept of a hypothesis, let’s break it down into its basic components:

• Variables . A hypothesis involves at least two variables. An independent variable and a dependent variable. The independent variable is the one being changed or manipulated, while the dependent variable is the one being measured or observed.
• Relationship : A hypothesis proposes a relationship or connection between the variables. This could be a cause-and-effect relationship or a correlation between them.
• Testability : A hypothesis should be testable and falsifiable, meaning it can be proven right or wrong through experimentation or observation.

Types of Hypotheses

When learning how to write a hypothesis, it’s essential to understand its main types. These include; alternative hypotheses and null hypotheses. In the following section, we explore both types of hypotheses with examples. 

Alternative Hypothesis (H1)

This kind of hypothesis suggests a relationship or effect between the variables. It is the main focus of the study. The researcher wants to either prove or disprove it. Many research divides this hypothesis into two subsections: 

• Directional 

This type of H1 predicts a specific outcome. Many researchers use this hypothesis to explore the relationship between variables rather than the groups. 

• Non-directional

You can take a guess from the name. This type of H1 does not provide a specific prediction for the research outcome. 

Here are some examples for your better understanding of how to write a hypothesis.

• Consuming caffeine improves cognitive performance.  (This hypothesis predicts that there is a positive relationship between caffeine consumption and cognitive performance.)
• Aerobic exercise leads to reduced blood pressure.  (This hypothesis suggests that engaging in aerobic exercise results in lower blood pressure readings.)
• Exposure to nature reduces stress levels among employees.  (Here, the hypothesis proposes that employees exposed to natural environments will experience decreased stress levels.)
• Listening to classical music while studying increases memory retention.  (This hypothesis speculates that studying with classical music playing in the background boosts students’ ability to retain information.)
• Early literacy intervention improves reading skills in children.  (This hypothesis claims that providing early literacy assistance to children results in enhanced reading abilities.)
• Time management in nursing students. ( Students who use a  nursing research paper writing service  have more time to focus on their studies and can achieve better grades in other subjects. )

Null Hypothesis (H0)

A null hypothesis assumes no relationship or effect between the variables. If the alternative hypothesis is proven to be false, the null hypothesis is considered to be true. Usually a null hypothesis shows no direct correlation between the defined variables. 

Here are some of the examples

• The consumption of herbal tea has no effect on sleep quality.  (This hypothesis assumes that herbal tea consumption does not impact the quality of sleep.)
• The number of hours spent playing video games is unrelated to academic performance.  (Here, the null hypothesis suggests that no relationship exists between video gameplay duration and academic achievement.)
• Implementing flexible work schedules has no influence on employee job satisfaction.  (This hypothesis contends that providing flexible schedules does not affect how satisfied employees are with their jobs.)
• Writing ability of a 7th grader is not affected by reading editorial example. ( There is no relationship between reading an  editorial example  and improving a 7th grader’s writing abilities.) 
• The type of lighting in a room does not affect people’s mood.  (In this null hypothesis, there is no connection between the kind of lighting in a room and the mood of those present.)
• The use of social media during break time does not impact productivity at work.  (This hypothesis proposes that social media usage during breaks has no effect on work productivity.)

As you learn how to write a hypothesis, remember that aiming for clarity, testability, and relevance to your research question is vital. By mastering this skill, you’re well on your way to conducting impactful scientific research. Good luck!

Importance of a Hypothesis in Research

A well-structured hypothesis is a vital part of any research project for several reasons:

• It provides clear direction for the study by setting its focus and purpose.
• It outlines expectations of the research, making it easier to measure results.
• It helps identify any potential limitations in the study, allowing researchers to refine their approach.

In conclusion, a hypothesis plays a fundamental role in the research process. By understanding its concept and constructing a well-thought-out hypothesis, researchers lay the groundwork for a successful, scientifically sound investigation.

How to Write a Hypothesis?

Here are five steps that you can follow to write an effective hypothesis. 

Step 1: Identify Your Research Question

The first step in learning how to compose a hypothesis is to clearly define your research question. This question is the central focus of your study and will help you determine the direction of your hypothesis.

Step 2: Determine the Variables

When exploring how to write a hypothesis, it’s crucial to identify the variables involved in your study. You’ll need at least two variables:

• Independent variable : The factor you manipulate or change in your experiment.
• Dependent variable : The outcome or result you observe or measure, which is influenced by the independent variable.

Step 3: Build the Hypothetical Relationship

In understanding how to compose a hypothesis, constructing the relationship between the variables is key. Based on your research question and variables, predict the expected outcome or connection. This prediction should be specific, testable, and, if possible, expressed in the “If…then” format.

Step 4: Write the Null Hypothesis

When mastering how to write a hypothesis, it’s important to create a null hypothesis as well. The null hypothesis assumes no relationship or effect between the variables, acting as a counterpoint to your primary hypothesis.

Step 5: Review Your Hypothesis

Finally, when learning how to compose a hypothesis, it’s essential to review your hypothesis for clarity, testability, and relevance to your research question. Make any necessary adjustments to ensure it provides a solid basis for your study.

In conclusion, understanding how to write a hypothesis is crucial for conducting successful scientific research. By focusing on your research question and carefully building relationships between variables, you will lay a strong foundation for advancing research and knowledge in your field.

Hypothesis vs. Prediction: What’s the Difference?

Understanding the differences between a hypothesis and a prediction is crucial in scientific research. Often, these terms are used interchangeably, but they have distinct meanings and functions. This segment aims to clarify these differences and explain how to compose a hypothesis correctly, helping you improve the quality of your research projects.

Hypothesis: The Foundation of Your Research

A hypothesis is an educated guess about the relationship between two or more variables. It provides the basis for your research question and is a starting point for an experiment or observational study.

The critical elements for a hypothesis include:

• Specificity: A clear and concise statement that describes the relationship between variables.
• Testability: The ability to test the hypothesis through experimentation or observation.

To learn how to write a hypothesis, it’s essential to identify your research question first and then predict the relationship between the variables.

Prediction: The Expected Outcome

A prediction is a statement about a specific outcome you expect to see in your experiment or observational study. It’s derived from the hypothesis and provides a measurable way to test the relationship between variables.

Here’s an example of how to write a hypothesis and a related prediction:

• Hypothesis: Consuming a high-sugar diet leads to weight gain.
• Prediction: People who consume a high-sugar diet for six weeks will gain more weight than those who maintain a low-sugar diet during the same period.

Key Differences Between a Hypothesis and a Prediction

While a hypothesis and prediction are both essential components of scientific research, there are some key differences to keep in mind:

• A hypothesis is an educated guess that suggests a relationship between variables, while a prediction is a specific and measurable outcome based on that hypothesis.
• A hypothesis can give rise to multiple experiment or observational study predictions.

To conclude, understanding the differences between a hypothesis and a prediction, and learning how to write a hypothesis, are essential steps to form a robust foundation for your research. By creating clear, testable hypotheses along with specific, measurable predictions, you lay the groundwork for scientifically sound investigations.

Here’s a wrap-up for this guide on how to write a hypothesis. We’re confident this article was helpful for many of you. We understand that many students struggle with writing their school research . However, we hope to continue assisting you through our blog tutorial on writing different aspects of academic assignments.

For further information, you can check out our reverent blog or contact our professionals to avail amazing writing services. Paper perk experts tailor assignments to reflect your unique voice and perspectives. Our professionals make sure to stick around till your satisfaction. So what are you waiting for? Pick your required service and order away!

How to write a good hypothesis?

How to write a hypothesis in science, how to write a research hypothesis, how to write a null hypothesis, what is the format for a scientific hypothesis, how do you structure a proper hypothesis, can you provide an example of a hypothesis, what is the ideal hypothesis structure.

The ideal hypothesis structure includes the following;

• A clear statement of the relationship between variables.
• testable prediction.
• falsifiability.

If your hypothesis has all of these, it is both scientifically sound and effective.

How to write a hypothesis for product management?

Writing a hypothesis for product management involves a simple process:

• First, identify the problem or question you want to address.
• State your assumption or belief about the solution to that problem. .
• Make a hypothesis by predicting a specific outcome based on your assumption.
• Make sure your hypothesis is specific, measurable, and testable.
• Use experiments, data analysis, or user feedback to validate your hypothesis.
• Make informed decisions for product improvement.

Following these steps will help you in effectively formulating hypotheses for product management.

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How to Write a Hypothesis: A Step-by-Step Guide

Introduction

An overview of the research hypothesis, different types of hypotheses, variables in a hypothesis, how to formulate an effective research hypothesis, designing a study around your hypothesis.

The scientific method can derive and test predictions as hypotheses. Empirical research can then provide support (or lack thereof) for the hypotheses. Even failure to find support for a hypothesis still represents a valuable contribution to scientific knowledge. Let's look more closely at the idea of the hypothesis and the role it plays in research.

As much as the term exists in everyday language, there is a detailed development that informs the word "hypothesis" when applied to research. A good research hypothesis is informed by prior research and guides research design and data analysis , so it is important to understand how a hypothesis is defined and understood by researchers.

What is the simple definition of a hypothesis?

A hypothesis is a testable prediction about an outcome between two or more variables . It functions as a navigational tool in the research process, directing what you aim to predict and how.

What is the hypothesis for in research?

In research, a hypothesis serves as the cornerstone for your empirical study. It not only lays out what you aim to investigate but also provides a structured approach for your data collection and analysis.

Essentially, it bridges the gap between the theoretical and the empirical, guiding your investigation throughout its course.

What is an example of a hypothesis?

If you are studying the relationship between physical exercise and mental health, a suitable hypothesis could be: "Regular physical exercise leads to improved mental well-being among adults."

This statement constitutes a specific and testable hypothesis that directly relates to the variables you are investigating.

What makes a good hypothesis?

A good hypothesis possesses several key characteristics. Firstly, it must be testable, allowing you to analyze data through empirical means, such as observation or experimentation, to assess if there is significant support for the hypothesis. Secondly, a hypothesis should be specific and unambiguous, giving a clear understanding of the expected relationship between variables. Lastly, it should be grounded in existing research or theoretical frameworks , ensuring its relevance and applicability.

Understanding the types of hypotheses can greatly enhance how you construct and work with hypotheses. While all hypotheses serve the essential function of guiding your study, there are varying purposes among the types of hypotheses. In addition, all hypotheses stand in contrast to the null hypothesis, or the assumption that there is no significant relationship between the variables .

Here, we explore various kinds of hypotheses to provide you with the tools needed to craft effective hypotheses for your specific research needs. Bear in mind that many of these hypothesis types may overlap with one another, and the specific type that is typically used will likely depend on the area of research and methodology you are following.

Null hypothesis

The null hypothesis is a statement that there is no effect or relationship between the variables being studied. In statistical terms, it serves as the default assumption that any observed differences are due to random chance.

For example, if you're studying the effect of a drug on blood pressure, the null hypothesis might state that the drug has no effect.

Alternative hypothesis

Contrary to the null hypothesis, the alternative hypothesis suggests that there is a significant relationship or effect between variables.

Using the drug example, the alternative hypothesis would posit that the drug does indeed affect blood pressure. This is what researchers aim to prove.

Simple hypothesis

A simple hypothesis makes a prediction about the relationship between two variables, and only two variables.

For example, "Increased study time results in better exam scores." Here, "study time" and "exam scores" are the only variables involved.

Complex hypothesis

A complex hypothesis, as the name suggests, involves more than two variables. For instance, "Increased study time and access to resources result in better exam scores." Here, "study time," "access to resources," and "exam scores" are all variables.

This hypothesis refers to multiple potential mediating variables. Other hypotheses could also include predictions about variables that moderate the relationship between the independent variable and dependent variable .

Directional hypothesis

A directional hypothesis specifies the direction of the expected relationship between variables. For example, "Eating more fruits and vegetables leads to a decrease in heart disease."

Here, the direction of heart disease is explicitly predicted to decrease, due to effects from eating more fruits and vegetables. All hypotheses typically specify the expected direction of the relationship between the independent and dependent variable, such that researchers can test if this prediction holds in their data analysis .

Statistical hypothesis

A statistical hypothesis is one that is testable through statistical methods, providing a numerical value that can be analyzed. This is commonly seen in quantitative research .

For example, "There is a statistically significant difference in test scores between students who study for one hour and those who study for two."

Empirical hypothesis

An empirical hypothesis is derived from observations and is tested through empirical methods, often through experimentation or survey data . Empirical hypotheses may also be assessed with statistical analyses.

For example, "Regular exercise is correlated with a lower incidence of depression," could be tested through surveys that measure exercise frequency and depression levels.

Causal hypothesis

A causal hypothesis proposes that one variable causes a change in another. This type of hypothesis is often tested through controlled experiments.

For example, "Smoking causes lung cancer," assumes a direct causal relationship.

Associative hypothesis

Unlike causal hypotheses, associative hypotheses suggest a relationship between variables but do not imply causation.

For instance, "People who smoke are more likely to get lung cancer," notes an association but doesn't claim that smoking causes lung cancer directly.

Relational hypothesis

A relational hypothesis explores the relationship between two or more variables but doesn't specify the nature of the relationship.

For example, "There is a relationship between diet and heart health," leaves the nature of the relationship (causal, associative, etc.) open to interpretation.

Logical hypothesis

A logical hypothesis is based on sound reasoning and logical principles. It's often used in theoretical research to explore abstract concepts, rather than being based on empirical data.

For example, "If all men are mortal and Socrates is a man, then Socrates is mortal," employs logical reasoning to make its point.

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In any research hypothesis, variables play a critical role. These are the elements or factors that the researcher manipulates, controls, or measures. Understanding variables is essential for crafting a clear, testable hypothesis and for the stages of research that follow, such as data collection and analysis.

In the realm of hypotheses, there are generally two types of variables to consider: independent and dependent. Independent variables are what you, as the researcher, manipulate or change in your study. It's considered the cause in the relationship you're investigating. For instance, in a study examining the impact of sleep duration on academic performance, the independent variable would be the amount of sleep participants get.

Conversely, the dependent variable is the outcome you measure to gauge the effect of your manipulation. It's the effect in the cause-and-effect relationship. The dependent variable thus refers to the main outcome of interest in your study. In the same sleep study example, the academic performance, perhaps measured by exam scores or GPA, would be the dependent variable.

Beyond these two primary types, you might also encounter control variables. These are variables that could potentially influence the outcome and are therefore kept constant to isolate the relationship between the independent and dependent variables . For example, in the sleep and academic performance study, control variables could include age, diet, or even the subject of study.

By clearly identifying and understanding the roles of these variables in your hypothesis, you set the stage for a methodologically sound research project. It helps you develop focused research questions, design appropriate experiments or observations, and carry out meaningful data analysis . It's a step that lays the groundwork for the success of your entire study.

Crafting a strong, testable hypothesis is crucial for the success of any research project. It sets the stage for everything from your study design to data collection and analysis . Below are some key considerations to keep in mind when formulating your hypothesis:

• Be specific : A vague hypothesis can lead to ambiguous results and interpretations . Clearly define your variables and the expected relationship between them.
• Ensure testability : A good hypothesis should be testable through empirical means, whether by observation , experimentation, or other forms of data analysis.
• Ground in literature : Before creating your hypothesis, consult existing research and theories. This not only helps you identify gaps in current knowledge but also gives you valuable context and credibility for crafting your hypothesis.
• Use simple language : While your hypothesis should be conceptually sound, it doesn't have to be complicated. Aim for clarity and simplicity in your wording.
• State direction, if applicable : If your hypothesis involves a directional outcome (e.g., "increase" or "decrease"), make sure to specify this. You also need to think about how you will measure whether or not the outcome moved in the direction you predicted.
• Keep it focused : One of the common pitfalls in hypothesis formulation is trying to answer too many questions at once. Keep your hypothesis focused on a specific issue or relationship.
• Account for control variables : Identify any variables that could potentially impact the outcome and consider how you will control for them in your study.
• Be ethical : Make sure your hypothesis and the methods for testing it comply with ethical standards , particularly if your research involves human or animal subjects.

Designing your study involves multiple key phases that help ensure the rigor and validity of your research. Here we discuss these crucial components in more detail.

Literature review

Starting with a comprehensive literature review is essential. This step allows you to understand the existing body of knowledge related to your hypothesis and helps you identify gaps that your research could fill. Your research should aim to contribute some novel understanding to existing literature, and your hypotheses can reflect this. A literature review also provides valuable insights into how similar research projects were executed, thereby helping you fine-tune your own approach.

Research methods

Choosing the right research methods is critical. Whether it's a survey, an experiment, or observational study, the methodology should be the most appropriate for testing your hypothesis. Your choice of methods will also depend on whether your research is quantitative, qualitative, or mixed-methods. Make sure the chosen methods align well with the variables you are studying and the type of data you need.

Preliminary research

Before diving into a full-scale study, it’s often beneficial to conduct preliminary research or a pilot study . This allows you to test your research methods on a smaller scale, refine your tools, and identify any potential issues. For instance, a pilot survey can help you determine if your questions are clear and if the survey effectively captures the data you need. This step can save you both time and resources in the long run.

Data analysis

Finally, planning your data analysis in advance is crucial for a successful study. Decide which statistical or analytical tools are most suited for your data type and research questions . For quantitative research, you might opt for t-tests, ANOVA, or regression analyses. For qualitative research , thematic analysis or grounded theory may be more appropriate. This phase is integral for interpreting your results and drawing meaningful conclusions in relation to your research question.

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• Researching
• 1. Key Question

How to write a key inquiry question

At the beginning of the research process , you need to be clear about what you are trying to discover as a result of your research.

To create a focus to drive your research, you are required to create a Key Inquiry Question.   

What is a 'key inquiry question'?

A Key Inquiry Question is the question that your research is aiming to answer.

A key inquiry question is a question that helps guide historical research by focusing the investigation on a particular aspect of a historical event, trend, or development.

A good key inquiry question should be specific, open-ended, and focused on a historical issue or problem.

By reducing your focus down to a single Key Inquiry Question, it will help you to avoid wasting time on needless research, but also help you tell if your research has ultimately been successful.

At the end of the research process , you will write a one-sentence answer to your Key Inquiry Question, which will become your hypothesis .   

How do you create a key inquiry question?

Great inquiry questions must abide by the following rules:

1. Start with an interrogative

An interrogative is a question word. Here are some common interrogatives with which you can start a key inquiry question:

2. Do not make it a 'closed question'

Closed questions are ones that can be answered with a single word (e.g., yes, no, Churchill, 1943, etc.).

Most 'closed questions' start with the interrogatives 'does', 'did', 'was' or 'are'. 

A great key question starts with either 'what', 'why', or 'how'. 

3. Base it on a historical knowledge skill

 Make your question focus on one of the historical knowledge skills in history.

Here is a list of the most common historical knowledge skills:

4. Be extremely specific

Limit your topic by mentioning specific historical information, including people, times, places or concepts.  

Draw upon the information you collected in your background research when doing this.

Example key inquiry questions

Here are some examples of great inquiry questions that follow the rules outlined above.

To help you see each element, the interrogatives are coloured in blue , the historical knowledge skill is in red , and the specific historical information is in green .

What were the economic , military and political causes of Rome’s departure from  Britain  in AD 410 ?

What archaeological evidence exists to confirm  Suetonius'  descriptions of Nero’s ‘Domus Aurea’ ?

How did Stalin justify the human cost of the dekulakisation during the First Five-Year Plan ?

How did Britain , Russia and America understand Hitler’s actions during the early 1930s ?

Alternate approach: testing a hypothesis

In some essays, you will be asked to assess the accuracy of someone else's hypothesis .

This kind of task will require you to look at all of the arguments being made and test these arguments based upon what your sources tell you.

This is a great way of working out whether someone's claim about the past is trustworthy, or if they are simply manipulating the facts.

The best way is to turn the hypothesis into a Key Inquiry Question in order to begin your research.

  For example, someone's hypothesis could be:

Constantine the Great founded the Catholic Church at the Council of Nicaea in AD 325.

Your Key Inquiry Question could be:

What evidence is there that Constantine the Great founded the Catholic Church at the Council of Nicaea in AD 325?

Watch a video explanation on the History Skills YouTube channel:

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• > An Introduction to the Historiography of Science
• > Hypothetical history

Book contents

• Frontmatter
• 1 Aspects of the development of the history of science
• 2 History of science
• 3 Objectives and justification
• 4 Elements of theory of history
• 5 Objectivity in history
• 6 Explanations
• 7 Hypothetical history
• 8 Structure and organization
• 9 Anachronical and diachronical history of science
• 10 Ideology and myths in the history of science
• 12 Evaluation of source materials
• 13 Scientists' histories
• 14 Experimental history of science
• 15 The biographical approach
• 16 Prosopography
• 17 Scientometric historiography
• Bibliography

7 - Hypothetical history

Published online by Cambridge University Press:  30 November 2009

Because of their placement in the past, historical occurrences cannot be re-created or manipulated. For this reason hypothetical or contrary-to-fact statements are often regarded as unacceptable in historical works. Thus Joseph Needham says: ‘Whether a given fact would have got itself discovered by some other person than the historical discoverer had he not lived it is certainly profitless and probably meaningless to enquire.’

A contrary-to-fact statement is a statement based on an assumption that is known to be factually false, in other words, that cannot be reconciled with the known facts. Such statements are also called counterfactual statements. They contain the conditional ‘if’ followed by the false statement P. ‘If X had not been the case, Y would not have taken place’ is a counterfactual statement in so far as X actually was the case (irrespective of whether Y occurred or not). X might, for example, be ‘Maxwell formulated the theory of electrodynamics’ and Y might be ‘the radio was invented’. In a certain sense the statement can be said to be a hypothetical statement about the past; but with the difference that the premise of the hypothesis (non-X) is known to be false. Hypotheses are normally statements whose truth value is not known, but which are used heuristically in order to deduce testable statements that will then support or weaken the hypothesis.

We cannot know whether the radio would have been discovered had Maxwell never lived; for we cannot remake the historical situation at the time of Maxwell without taking into consideration the fact that Maxwell did actually live.

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• Hypothetical history
• Helge S. Kragh
• Book: An Introduction to the Historiography of Science
• Online publication: 30 November 2009
• Chapter DOI: https://doi.org/10.1017/CBO9780511622434.008

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How to Write a Hypothesis

Last Updated: May 2, 2023 Fact Checked

This article was co-authored by Bess Ruff, MA . Bess Ruff is a Geography PhD student at Florida State University. She received her MA in Environmental Science and Management from the University of California, Santa Barbara in 2016. She has conducted survey work for marine spatial planning projects in the Caribbean and provided research support as a graduate fellow for the Sustainable Fisheries Group. There are 9 references cited in this article, which can be found at the bottom of the page. This article has been fact-checked, ensuring the accuracy of any cited facts and confirming the authority of its sources. This article has been viewed 1,035,490 times.

A hypothesis is a description of a pattern in nature or an explanation about some real-world phenomenon that can be tested through observation and experimentation. The most common way a hypothesis is used in scientific research is as a tentative, testable, and falsifiable statement that explains some observed phenomenon in nature. [1] X Research source Many academic fields, from the physical sciences to the life sciences to the social sciences, use hypothesis testing as a means of testing ideas to learn about the world and advance scientific knowledge. Whether you are a beginning scholar or a beginning student taking a class in a science subject, understanding what hypotheses are and being able to generate hypotheses and predictions yourself is very important. These instructions will help get you started.

Preparing to Write a Hypothesis

• If you are writing a hypothesis for a school assignment, this step may be taken care of for you.

• Focus on academic and scholarly writing. You need to be certain that your information is unbiased, accurate, and comprehensive. Scholarly search databases such as Google Scholar and Web of Science can help you find relevant articles from reputable sources.
• You can find information in textbooks, at a library, and online. If you are in school, you can also ask for help from teachers, librarians, and your peers.

• For example, if you are interested in the effects of caffeine on the human body, but notice that nobody seems to have explored whether caffeine affects males differently than it does females, this could be something to formulate a hypothesis about. Or, if you are interested in organic farming, you might notice that no one has tested whether organic fertilizer results in different growth rates for plants than non-organic fertilizer.
• You can sometimes find holes in the existing literature by looking for statements like “it is unknown” in scientific papers or places where information is clearly missing. You might also find a claim in the literature that seems far-fetched, unlikely, or too good to be true, like that caffeine improves math skills. If the claim is testable, you could provide a great service to scientific knowledge by doing your own investigation. If you confirm the claim, the claim becomes even more credible. If you do not find support for the claim, you are helping with the necessary self-correcting aspect of science.
• Examining these types of questions provides an excellent way for you to set yourself apart by filling in important gaps in a field of study.

• Following the examples above, you might ask: "How does caffeine affect females as compared to males?" or "How does organic fertilizer affect plant growth compared to non-organic fertilizer?" The rest of your research will be aimed at answering these questions.

• Following the examples above, if you discover in the literature that there is a pattern that some other types of stimulants seem to affect females more than males, this could be a clue that the same pattern might be true for caffeine. Similarly, if you observe the pattern that organic fertilizer seems to be associated with smaller plants overall, you might explain this pattern with the hypothesis that plants exposed to organic fertilizer grow more slowly than plants exposed to non-organic fertilizer.

Formulating Your Hypothesis

• You can think of the independent variable as the one that is causing some kind of difference or effect to occur. In the examples, the independent variable would be biological sex, i.e. whether a person is male or female, and fertilizer type, i.e. whether the fertilizer is organic or non-organically-based.
• The dependent variable is what is affected by (i.e. "depends" on) the independent variable. In the examples above, the dependent variable would be the measured impact of caffeine or fertilizer.
• Your hypothesis should only suggest one relationship. Most importantly, it should only have one independent variable. If you have more than one, you won't be able to determine which one is actually the source of any effects you might observe.

• Don't worry too much at this point about being precise or detailed.
• In the examples above, one hypothesis would make a statement about whether a person's biological sex might impact the way the person is affected by caffeine; for example, at this point, your hypothesis might simply be: "a person's biological sex is related to how caffeine affects his or her heart rate." The other hypothesis would make a general statement about plant growth and fertilizer; for example your simple explanatory hypothesis might be "plants given different types of fertilizer are different sizes because they grow at different rates."

• Using our example, our non-directional hypotheses would be "there is a relationship between a person's biological sex and how much caffeine increases the person's heart rate," and "there is a relationship between fertilizer type and the speed at which plants grow."
• Directional predictions using the same example hypotheses above would be : "Females will experience a greater increase in heart rate after consuming caffeine than will males," and "plants fertilized with non-organic fertilizer will grow faster than those fertilized with organic fertilizer." Indeed, these predictions and the hypotheses that allow for them are very different kinds of statements. More on this distinction below.
• If the literature provides any basis for making a directional prediction, it is better to do so, because it provides more information. Especially in the physical sciences, non-directional predictions are often seen as inadequate.

• Where necessary, specify the population (i.e. the people or things) about which you hope to uncover new knowledge. For example, if you were only interested the effects of caffeine on elderly people, your prediction might read: "Females over the age of 65 will experience a greater increase in heart rate than will males of the same age." If you were interested only in how fertilizer affects tomato plants, your prediction might read: "Tomato plants treated with non-organic fertilizer will grow faster in the first three months than will tomato plants treated with organic fertilizer."

• For example, you would not want to make the hypothesis: "red is the prettiest color." This statement is an opinion and it cannot be tested with an experiment. However, proposing the generalizing hypothesis that red is the most popular color is testable with a simple random survey. If you do indeed confirm that red is the most popular color, your next step may be to ask: Why is red the most popular color? The answer you propose is your explanatory hypothesis .

• An easy way to get to the hypothesis for this method and prediction is to ask yourself why you think heart rates will increase if children are given caffeine. Your explanatory hypothesis in this case may be that caffeine is a stimulant. At this point, some scientists write a research hypothesis , a statement that includes the hypothesis, the experiment, and the prediction all in one statement.
• For example, If caffeine is a stimulant, and some children are given a drink with caffeine while others are given a drink without caffeine, then the heart rates of those children given a caffeinated drink will increase more than the heart rate of children given a non-caffeinated drink.

• Using the above example, if you were to test the effects of caffeine on the heart rates of children, evidence that your hypothesis is not true, sometimes called the null hypothesis , could occur if the heart rates of both the children given the caffeinated drink and the children given the non-caffeinated drink (called the placebo control) did not change, or lowered or raised with the same magnitude, if there was no difference between the two groups of children.
• It is important to note here that the null hypothesis actually becomes much more useful when researchers test the significance of their results with statistics. When statistics are used on the results of an experiment, a researcher is testing the idea of the null statistical hypothesis. For example, that there is no relationship between two variables or that there is no difference between two groups. [8] X Research source

Hypothesis Examples

Community Q&A

• Remember that science is not necessarily a linear process and can be approached in various ways. [10] X Research source Thanks Helpful 0 Not Helpful 0
• When examining the literature, look for research that is similar to what you want to do, and try to build on the findings of other researchers. But also look for claims that you think are suspicious, and test them yourself. Thanks Helpful 0 Not Helpful 0
• Be specific in your hypotheses, but not so specific that your hypothesis can't be applied to anything outside your specific experiment. You definitely want to be clear about the population about which you are interested in drawing conclusions, but nobody (except your roommates) will be interested in reading a paper with the prediction: "my three roommates will each be able to do a different amount of pushups." Thanks Helpful 0 Not Helpful 0

You Might Also Like

• ↑ https://undsci.berkeley.edu/for-educators/prepare-and-plan/correcting-misconceptions/#a4
• ↑ https://owl.purdue.edu/owl/general_writing/common_writing_assignments/research_papers/choosing_a_topic.html
• ↑ https://owl.purdue.edu/owl/subject_specific_writing/writing_in_the_social_sciences/writing_in_psychology_experimental_report_writing/experimental_reports_1.html
• ↑ https://www.grammarly.com/blog/how-to-write-a-hypothesis/
• ↑ https://grammar.yourdictionary.com/for-students-and-parents/how-create-hypothesis.html
• ↑ https://flexbooks.ck12.org/cbook/ck-12-middle-school-physical-science-flexbook-2.0/section/1.19/primary/lesson/hypothesis-ms-ps/
• ↑ https://iastate.pressbooks.pub/preparingtopublish/chapter/goal-1-contextualize-the-studys-methods/
• ↑ http://mathworld.wolfram.com/NullHypothesis.html
• ↑ http://undsci.berkeley.edu/article/scienceflowchart

About This Article

Before writing a hypothesis, think of what questions are still unanswered about a specific subject and make an educated guess about what the answer could be. Then, determine the variables in your question and write a simple statement about how they might be related. Try to focus on specific predictions and variables, such as age or segment of the population, to make your hypothesis easier to test. For tips on how to test your hypothesis, read on! Did this summary help you? Yes No

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How to write a research hypothesis

Last updated

19 January 2023

Reviewed by

Miroslav Damyanov

Start with a broad subject matter that excites you, so your curiosity will motivate your work. Conduct a literature search to determine the range of questions already addressed and spot any holes in the existing research.

Narrow the topics that interest you and determine your research question. Rather than focusing on a hole in the research, you might choose to challenge an existing assumption, a process called problematization. You may also find yourself with a short list of questions or related topics.

Use the FINER method to determine the single problem you'll address with your research. FINER stands for:

I nteresting

You need a feasible research question, meaning that there is a way to address the question. You should find it interesting, but so should a larger audience. Rather than repeating research that others have already conducted, your research hypothesis should test something novel or unique. 

The research must fall into accepted ethical parameters as defined by the government of your country and your university or college if you're an academic. You'll also need to come up with a relevant question since your research should provide a contribution to the existing research area.

This process typically narrows your shortlist down to a single problem you'd like to study and the variable you want to test. You're ready to write your hypothesis statements.

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• Types of research hypotheses

It is important to narrow your topic down to one idea before trying to write your research hypothesis. You'll only test one problem at a time. To do this, you'll write two hypotheses – a null hypothesis (H0) and an alternative hypothesis (Ha).

You'll come across many terms related to developing a research hypothesis or referring to a specific type of hypothesis. Let's take a quick look at these terms.

Null hypothesis

The term null hypothesis refers to a research hypothesis type that assumes no statistically significant relationship exists within a set of observations or data. It represents a claim that assumes that any observed relationship is due to chance. Represented as H0, the null represents the conjecture of the research.

Alternative hypothesis

The alternative hypothesis accompanies the null hypothesis. It states that the situation presented in the null hypothesis is false or untrue, and claims an observed effect in your test. This is typically denoted by Ha or H(n), where “n” stands for the number of alternative hypotheses. You can have more than one alternative hypothesis. 

Simple hypothesis

The term simple hypothesis refers to a hypothesis or theory that predicts the relationship between two variables - the independent (predictor) and the dependent (predicted). 

Complex hypothesis

The term complex hypothesis refers to a model – either quantitative (mathematical) or qualitative . A complex hypothesis states the surmised relationship between two or more potentially related variables.

Directional hypothesis

When creating a statistical hypothesis, the directional hypothesis (the null hypothesis) states an assumption regarding one parameter of a population. Some academics call this the “one-sided” hypothesis. The alternative hypothesis indicates whether the researcher tests for a positive or negative effect by including either the greater than (">") or less than ("<") sign.

Non-directional hypothesis

We refer to the alternative hypothesis in a statistical research question as a non-directional hypothesis. It includes the not equal ("≠") sign to show that the research tests whether or not an effect exists without specifying the effect's direction (positive or negative).

Associative hypothesis

The term associative hypothesis assumes a link between two variables but stops short of stating that one variable impacts the other. Academic statistical literature asserts in this sense that correlation does not imply causation. So, although the hypothesis notes the correlation between two variables – the independent and dependent - it does not predict how the two interact.

Logical hypothesis

Typically used in philosophy rather than science, researchers can't test a logical hypothesis because the technology or data set doesn't yet exist. A logical hypothesis uses logic as the basis of its assumptions. 

In some cases, a logical hypothesis can become an empirical hypothesis once technology provides an opportunity for testing. Until that time, the question remains too expensive or complex to address. Note that a logical hypothesis is not a statistical hypothesis.

Empirical hypothesis

When we consider the opposite of a logical hypothesis, we call this an empirical or working hypothesis. This type of hypothesis considers a scientifically measurable question. A researcher can consider and test an empirical hypothesis through replicable tests, observations, and measurements.

Statistical hypothesis

The term statistical hypothesis refers to a test of a theory that uses representative statistical models to test relationships between variables to draw conclusions regarding a large population. This requires an existing large data set, commonly referred to as big data, or implementing a survey to obtain original statistical information to form a data set for the study. 

Testing this type of hypothesis requires the use of random samples. Note that the null and alternative hypotheses are used in statistical hypothesis testing.

Causal hypothesis

The term causal hypothesis refers to a research hypothesis that tests a cause-and-effect relationship. A causal hypothesis is utilized when conducting experimental or quasi-experimental research.

Descriptive hypothesis

The term descriptive hypothesis refers to a research hypothesis used in non-experimental research, specifying an influence in the relationship between two variables.

• What makes an effective research hypothesis?

An effective research hypothesis offers a clearly defined, specific statement, using simple wording that contains no assumptions or generalizations, and that you can test. A well-written hypothesis should predict the tested relationship and its outcome. It contains zero ambiguity and offers results you can observe and test. 

The research hypothesis should address a question relevant to a research area. Overall, your research hypothesis needs the following essentials:

Hypothesis Essential #1: Specificity & Clarity

Hypothesis Essential #2: Testability (Provability)

• How to develop a good research hypothesis

In developing your hypothesis statements, you must pre-plan some of your statistical analysis. Once you decide on your problem to examine, determine three aspects:

the parameter you'll test

the test's direction (left-tailed, right-tailed, or non-directional)

the hypothesized parameter value

Any quantitative research includes a hypothesized parameter value of a mean, a proportion, or the difference between two proportions. Here's how to note each parameter:

Single mean (μ)

Paired means (μd)

Single proportion (p)

Difference between two independent means (μ1−μ2)

Difference between two proportions (p1−p2)

Simple linear regression slope (β)

Correlation (ρ)

Defining these parameters and determining whether you want to test the mean, proportion, or differences helps you determine the statistical tests you'll conduct to analyze your data. When writing your hypothesis, you only need to decide which parameter to test and in what overarching way.

The null research hypothesis must include everyday language, in a single sentence, stating the problem you want to solve. Write it as an if-then statement with defined variables. Write an alternative research hypothesis that states the opposite.

• What is the correct format for writing a hypothesis?

The following example shows the proper format and textual content of a hypothesis. It follows commonly accepted academic standards.

Null hypothesis (H0): High school students who participate in varsity sports as opposed to those who do not, fail to score higher on leadership tests than students who do not participate.

Alternative hypothesis (H1): High school students who play a varsity sport as opposed to those who do not participate in team athletics will score higher on leadership tests than students who do not participate in athletics.

The research question tests the correlation between varsity sports participation and leadership qualities expressed as a score on leadership tests. It compares the population of athletes to non-athletes.

• What are the five steps of a hypothesis?

Once you decide on the specific problem or question you want to address, you can write your research hypothesis. Use this five-step system to hone your null hypothesis and generate your alternative hypothesis.

Step 1 : Create your research question. This topic should interest and excite you; answering it provides relevant information to an industry or academic area.

Step 2 : Conduct a literature review to gather essential existing research.

Step 3 : Write a clear, strong, simply worded sentence that explains your test parameter, test direction, and hypothesized parameter.

Step 4 : Read it a few times. Have others read it and ask them what they think it means. Refine your statement accordingly until it becomes understandable to everyone. While not everyone can or will comprehend every research study conducted, any person from the general population should be able to read your hypothesis and alternative hypothesis and understand the essential question you want to answer.

Step 5 : Re-write your null hypothesis until it reads simply and understandably. Write your alternative hypothesis.

What is the Red Queen hypothesis?

Some hypotheses are well-known, such as the Red Queen hypothesis. Choose your wording carefully, since you could become like the famed scientist Dr. Leigh Van Valen. In 1973, Dr. Van Valen proposed the Red Queen hypothesis to describe coevolutionary activity, specifically reciprocal evolutionary effects between species to explain extinction rates in the fossil record. 

Essentially, Van Valen theorized that to survive, each species remains in a constant state of adaptation, evolution, and proliferation, and constantly competes for survival alongside other species doing the same. Only by doing this can a species avoid extinction. Van Valen took the hypothesis title from the Lewis Carroll book, "Through the Looking Glass," which contains a key character named the Red Queen who explains to Alice that for all of her running, she's merely running in place.

• Getting started with your research

In conclusion, once you write your null hypothesis (H0) and an alternative hypothesis (Ha), you’ve essentially authored the elevator pitch of your research. These two one-sentence statements describe your topic in simple, understandable terms that both professionals and laymen can understand. They provide the starting point of your research project.

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How to create a hypothesis for a historical research? [closed]

When writing a dissertation or a thesis about history, students and researchers are asked to state a problem and a hypothesis for that problem. My question is how to state a problem and a hypothesis for a historical event where we all know that history never changes and that it is restricted to already given facts? Supposing that someone is writing a thesis about the Battle of Waterloo ...All the info about the Battle of Waterloo are the same everywhere, what can this researcher add?? Nothing actually, he/she is going to end up summarizing a dozen of books about it without bringing anything new to the topic (not because he/she cannot but because it's history). What kind of problem statement that one can write about a Battle, a king, a conflict, ... I mean how can someone see problems in history and give hypotheses for them?? Please illustrate if you can

• research-process
• methodology

• 3 Why was German unification a peaceful process and not a violent revolution cum annexation? Can you answer this by just stating the facts? Which facts would you consider relevant? How would you ascertain their truthfulness? –  henning no longer feeds AI Commented Apr 8, 2019 at 17:26
• According to u, how a question like yours could be answered? Thnx! –  Maria_mimi Commented Apr 8, 2019 at 17:36
• 1 This seems to be a discussion to have with your advisor. –  Solar Mike Commented Apr 8, 2019 at 19:31

This sounds like trying to force a restricted view of the scientific method to research in history. One learns during many years of studying history how research in history is performed, what is expected, what constitutes verification and evidence, just as one learns during many years of studying mathematics how research in mathematics is performed, what constitutes proof, the accepted standards of rigor, etc. And similar things can be said about Physics, Computer Engineering, Linguistics, Philosophy, Comparative Literature, Botany, Aerospace Engineering, Archaeology, etc.

Here's one way to at least superficially research your question without going through years of study in history. First, search for "Battle of Waterloo" (without quotes) in the title field at the ProQuest search page. Then google the titles of some of the (over 40) results to see whether freely available copies can be found. Then, for the theses you are able to get copies of, look over the abstract and/or introduction and/or summary, using the table of contents to locate these if you can't immediately find them.

When I did this, the 7th listed item was Waterloo in Myth and Memory: The Battles of Waterloo 1815-1915 (2013), and its abstract begins with the following:

This work examines memory of the Battle of Waterloo. There have been hundreds of works on the Battle of Waterloo but what this work does is to examine how works in several genres change over time. The memory of Waterloo was not static but changed several times over and over again. The myth of Waterloo was created, challenged and renegotiated several times.

• Thnx a million! –  Maria_mimi Commented Apr 9, 2019 at 6:29

Not the answer you're looking for? Browse other questions tagged research-process thesis methodology history .

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