sample format of questionnaire for thesis

Dissertation Questionnaire

sample format of questionnaire for thesis

A dissertation is a document usually a requirement for a doctoral degree especially in the field of philosophy. This long essay discusses a particular subject matter uses questionnaires and other sources of data and is used to validate its content. The questionnaire’s importance is evident in the processes of data gathering as it can make the dissertation factual, effective and usable.

Having a well-curated and formatted document to follow when making a dissertation can be very beneficial to an individual who is currently immersed in the data gathering stage of the specific research study. We have gathered downloadable samples and templates of questionnaires so it will be easier for you to curate your own.

Dissertation Timeline Gantt Chart Template

Size: 55 KB

Dissertation Research Gantt Chart Template

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Dissertation Project Gantt Chart Template

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Dissertation Plan Gantt Chart Template

Size: 51 KB

Dissertation Research Questionnaire

Size: 18 KB

Dissertation Proposal Questionnaire

Size: 131 KB

Sample Dissertation Questionnaire

Size: 10 KB

What Is a Dissertation Questionnaire?

A dissertation questionnaire can be defined as follows:

It is a document used in the processes of data gathering.
Questionnaires in PDF used for a dissertation contain questions that can help assess the current condition of the community which is the subject of study within the dissertation.
It specifies the questions that are needed to be answered to assure that there is a basis in terms of the results that will be presented in a dissertation.

How to Write a Dissertation Questionnaire

Writing an efficient and comprehensive dissertation questionnaire can greatly affect the entire dissertation. You can make one by following these steps:

Be specific with the kind of dissertation that you are creating and align the purposes of the dissertation questionnaire that you need to make to your study.
List down the information needed from the community who will provide the answers to your questions.
Open a software where you can create a questionnaire template. You may also download survey questionnaire examples and templates to have a faster time in formatting the document.
The purpose of the dissertation questionnaire.
The guidelines and instructions in answering the dissertation questions.
The name of the person to who will use the questionnaire results to his/her dissertation.
The institution to whom the dissertation will be passed.
List down the questions based on your needs.

Undergraduate Dissertation Questionnaire

Size: 12 KB

Project Management Dissertation

Size: 54 KB

Guidelines for Writing a Dissertation Questionnaire

There are no strict rules in writing a dissertation questionnaire. However, there are some tips that can help you to create a dissertation questionnaire that is relevant to the study that you are currently doing. Some guidelines:

Make sure that you are well aware of the data that is needed in your dissertation so you can properly curate questions that can supply your information needs.
It will be best to use a dissertation questionnaire format that is organized, easy to understand, and properly structured. This will help the people who will answer the dissertation questionnaire quickly know how they can provide the items that you would like to know.
Always make sure that your instructions in answering the questions are precise and directly stated.
You may look at questionnaires in Word for comparisons. Doing this will help you assess whether there are still areas of improvement that you may tap with the content and format of the dissertation questionnaire that you have created.

Keeping this guidelines in mind and implementing them accordingly will allow you to create a dissertation questionnaire that is beneficial to the processes that you need to have an outstanding dissertation.

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21 Questionnaire Templates: Examples and Samples

Questionnaire: Definition

A questionnaire is defined a market research instrument that consists of questions or prompts to elicit and collect responses from a sample of respondents. A questionnaire is typically a mix of open-ended questions and close-ended questions ; the latter allowing for respondents to enlist their views in detail.

A questionnaire can be used in both, qualitative market research as well as quantitative market research with the use of different types of questions .

LEARN ABOUT: Open-Ended Questions

Types of Questionnaires

We have learnt that a questionnaire could either be structured or free-flow. To explain this better:

Structured Questionnaires: A structured questionnaires helps collect quantitative data . In this case, the questionnaire is designed in a way that it collects very specific type of information. It can be used to initiate a formal enquiry on collect data to prove or disprove a prior hypothesis.
Unstructured Questionnaires: An unstructured questionnaire collects qualitative data . The questionnaire in this case has a basic structure and some branching questions but nothing that limits the responses of a respondent. The questions are more open-ended.

LEARN ABOUT: Structured Question

Types of Questions used in a Questionnaire

A questionnaire can consist of many types of questions . Some of the commonly and widely used question types though, are:

Open-Ended Questions: One of the commonly used question type in questionnaire is an open-ended question . These questions help collect in-depth data from a respondent as there is a huge scope to respond in detail.
Dichotomous Questions: The dichotomous question is a “yes/no” close-ended question . This question is generally used in case of the need of basic validation. It is the easiest question type in a questionnaire.
Multiple-Choice Questions: An easy to administer and respond to, question type in a questionnaire is the multiple-choice question . These questions are close-ended questions with either a single select multiple choice question or a multiple select multiple choice question. Each multiple choice question consists of an incomplete stem (question), right answer or answers, close alternatives, distractors and incorrect answers. Depending on the objective of the research, a mix of the above option types can be used.
Net Promoter Score (NPS) Question: Another commonly used question type in a questionnaire is the Net Promoter Score (NPS) Question where one single question collects data on the referencability of the research topic in question.
Scaling Questions: Scaling questions are widely used in a questionnaire as they make responding to the questionnaire, very easy. These questions are based on the principles of the 4 measurement scales – nominal, ordinal, interval and ratio .

Questionnaires help enterprises collect valuable data to help them make well-informed business decisions. There are powerful tools available in the market that allows using multiple question types, ready to use survey format templates, robust analytics, and many more features to conduct comprehensive market research.

LEARN ABOUT: course evaluation survey examples

For example, an enterprise wants to conduct market research to understand what pricing would be best for their new product to capture a higher market share. In such a case, a questionnaire for competitor analysis can be sent to the targeted audience using a powerful market research survey software which can help the enterprise conduct 360 market research that will enable them to make strategic business decisions.

Now that we have learned what a questionnaire is and its use in market research , some examples and samples of widely used questionnaire templates on the QuestionPro platform are as below:

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Customer Questionnaire Templates: Examples and Samples

QuestionPro specializes in end-to-end Customer Questionnaire Templates that can be used to evaluate a customer journey right from indulging with a brand to the continued use and referenceability of the brand. These templates form excellent samples to form your own questionnaire and begin testing your customer satisfaction and experience based on customer feedback.

LEARN ABOUT: Structured Questionnaire

USE THIS FREE TEMPLATE

Employee & Human Resource (HR) Questionnaire Templates: Examples and Samples

QuestionPro has built a huge repository of employee questionnaires and HR questionnaires that can be readily deployed to collect feedback from the workforce on an organization on multiple parameters like employee satisfaction, benefits evaluation, manager evaluation , exit formalities etc. These templates provide a holistic overview of collecting actionable data from employees.

Community Questionnaire Templates: Examples and Samples

The QuestionPro repository of community questionnaires helps collect varied data on all community aspects. This template library includes popular questionnaires such as community service, demographic questionnaires, psychographic questionnaires, personal questionnaires and much more.

Academic Evaluation Questionnaire Templates: Examples and Samples

Another vastly used section of QuestionPro questionnaire templates are the academic evaluation questionnaires . These questionnaires are crafted to collect in-depth data about academic institutions and the quality of teaching provided, extra-curricular activities etc and also feedback about other educational activities.

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Harvard University Program on Survey Research

How to Frame and Explain the Survey Data Used in a Thesis

Surveys are a special research tool with strengths, weaknesses, and a language all of their own. There are many different steps to designing and conducting a survey, and survey researchers have specific ways of describing what they do.

This handout, based on an annual workshop offered by the Program on Survey Research at Harvard, is geared toward undergraduate honors thesis writers using survey data.

PSR Resources

Managing and Manipulating Survey Data: A Beginners Guide
Finding and Hiring Survey Contractors
Overview of Cognitive Testing and Questionnaire Evaluation
Questionnaire Design Tip Sheet
Sampling, Coverage, and Nonresponse Tip Sheet
Introduction to Surveys for Honors Thesis Writers
PSR Introduction to the Survey Process
Related Centers/Programs at Harvard
General Survey Reference
Institutional Review Boards
Select Funding Opportunities
Survey Analysis Software
Professional Standards
Professional Organizations
Major Public Polls
Survey Data Collections
Major Longitudinal Surveys
Other Links

What’s Included: The Dissertation Template

If you’re preparing to write your dissertation, thesis or research project, our free dissertation template is the perfect starting point. In the template, we cover every section step by step, with clear, straightforward explanations and examples .

The template’s structure is based on the tried and trusted best-practice format for formal academic research projects such as dissertations and theses. The template structure reflects the overall research process, ensuring your dissertation or thesis will have a smooth, logical flow from chapter to chapter.

The dissertation template covers the following core sections:

The title page/cover page
Abstract (sometimes also called the executive summary)
Table of contents
List of figures /list of tables
Chapter 1: Introduction (also available: in-depth introduction template )
Chapter 2: Literature review (also available: in-depth LR template )
Chapter 3: Methodology (also available: in-depth methodology template )
Chapter 4: Research findings /results (also available: results template )
Chapter 5: Discussion /analysis of findings (also available: discussion template )
Chapter 6: Conclusion (also available: in-depth conclusion template )
Reference list

Each section is explained in plain, straightforward language , followed by an overview of the key elements that you need to cover within each section. We’ve also included practical examples to help you understand exactly what’s required in each section.

The cleanly-formatted Google Doc can be downloaded as a fully editable MS Word Document (DOCX format), so you can use it as-is or convert it to LaTeX.

FAQs: Dissertation Template

What format is the template (doc, pdf, ppt, etc.).

The dissertation template is provided as a Google Doc. You can download it in MS Word format or make a copy to your Google Drive. You’re also welcome to convert it to whatever format works best for you, such as LaTeX or PDF.

What types of dissertations/theses can this template be used for?

The template follows the standard best-practice structure for formal academic research projects such as dissertations or theses, so it is suitable for the vast majority of degrees, particularly those within the sciences.

Some universities may have some additional requirements, but these are typically minor, with the core structure remaining the same. Therefore, it’s always a good idea to double-check your university’s requirements before you finalise your structure.

Will this work for a research paper?

A research paper follows a similar format, but there are a few differences. You can find our research paper template here .

Is this template for an undergrad, Masters or PhD-level thesis?

This template can be used for a dissertation, thesis or research project at any level of study. It may be slight overkill for an undergraduate-level study, but it certainly won’t be missing anything.

How long should my dissertation/thesis be?

This depends entirely on your university’s specific requirements, so it’s best to check with them. As a general ballpark, Masters-level projects are usually 15,000 – 20,000 words in length, while Doctoral-level projects are often in excess of 60,000 words.

What about the research proposal?

If you’re still working on your research proposal, we’ve got a template for that here .

We’ve also got loads of proposal-related guides and videos over on the Grad Coach blog .

How do I write a literature review?

We have a wealth of free resources on the Grad Coach Blog that unpack how to write a literature review from scratch. You can check out the literature review section of the blog here.

How do I create a research methodology?

We have a wealth of free resources on the Grad Coach Blog that unpack research methodology, both qualitative and quantitative. You can check out the methodology section of the blog here.

Can I share this dissertation template with my friends/colleagues?

Yes, you’re welcome to share this template. If you want to post about it on your blog or social media, all we ask is that you reference this page as your source.

Can Grad Coach help me with my dissertation/thesis?

Within the template, you’ll find plain-language explanations of each section, which should give you a fair amount of guidance. However, you’re also welcome to consider our dissertation and thesis coaching services .

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National Research Council (US) Committee to Examine the Methodology for the Assessment of Research-Doctorate Programs; Ostriker JP, Kuh CV, editors. Assessing Research-Doctorate Programs: A Methodology Study. Washington (DC): National Academies Press (US); 2003.

Cover of Assessing Research-Doctorate Programs

Assessing Research-Doctorate Programs: A Methodology Study.

Hardcopy Version at National Academies Press

D Sample Questionnaires

(These questionnaires are subject to further review and revision.)

Institutional Questionnaire
Program Questionnaire
Faculty Questionnaire
Questionnaire for Admitted-to-Candidacy Doctoral Students
Questionnaire for Program Graduates

To the institutional coordinator: This questionnaire is intended to collect data about university-provided resources that are available to all doctoral programs. Typically, the ideal respondent will be in the university's office of institutional research. Most of the questions apply to all programs. One, on laboratory space, applies only to the sciences (including some social sciences). In listing programs, please refer to the attached taxonomy and answer for those programs that are present at your institution.

1. For the libraries at your institution: (Please enter the average over the past three years)

a. What is the average size of your professional library staff in total FTEs?______

b. What is the average annual library budget?______

c. What is the average annual budget for acquisition of books?______

d. What is the average annual budget for acquisition of:

print journals______electronic journals______?

e. What is the average annual budget for microprint and electronic databases?______

2. Is health care insurance available to graduate students under an institutional plan?

a. If available, health care insurance is made available to:

❏ Students only ❏ Students and faculty

b. If available, what is the level of institutional support? (Check all that apply)

Institution covers premium costs for:

❏ Teaching assistants ❏ Research assistants

❏ All other full-time graduate students ❏ All graduate students

Institution covers partial premium costs for:

No institutional contribution for:

❏ Teaching assistants ❏ Research assistants ❏ Other graduate students

3. Does the university provide childcare facilities that are available to graduate students?

❏ Yes ❏ No

a. If yes, is the cost subsidized by the institution?

b. If not, does the institution provide a listing of childcare providers to graduate students?

4. Is university-subsidized student housing available to doctoral students?

If so, what is the percentage of the doctoral students who live in university-provided housing? _______

5. Are graduate students are unionized on your campus?

If yes, ❏ Some students ❏ All students

If yes, are teaching assistants unionized? ❏ Yes ❏ No

If yes, ❏ Some teaching assistants ❏ All teaching assistants

If yes, are research assistants unionized? ❏ Yes ❏ No

If yes, ❏ Some research assistants ❏ All research assistants?

6. Which of the following apply to the doctoral program at the institutional level?

a. The institution confers awards to honor graduate students for teaching and/or research.

b. Awards are given to faculty for mentoring or other activities that promote scholarship of doctoral students.

c. The institution provides some form of travel support for doctoral students to attend professional meetings.

d. There is an organized program at the institutional level to help doctoral students improve their teaching skills.

e. The institution provides an office that assists doctoral students in learning about employment opportunities. ❏ Yes ❏ No

7. For the information displayed in the following table, please provide in a file sent by email to ude.san@tolipdr

For the each doctoral program in science (including the social sciences) and engineering at your institution, what is the net assignable square feet (NASF) of research space dedicated to the program (exclude space that is used only for undergraduates)? Please use the same definitions for NASF and research space that are used in the NSF Survey of Scientific and Engineering Research Facilities. See [Taxonomy] for a list of the program fields in the study, and provide the information in the Email file for only those doctoral programs that are offered at your institution.

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Background Information

This information will enable the National Research Council to contact you if there are any questions about the data. It will also permit us to contact faculty for the purpose of administering a questionnaire to elicit reputational ratings and background data and to contact students to obtain information about their perceptions of the practices and offerings of the doctoral program.

Please note that in addition to the web questionnaire, we would like lists of faculty and previous employers to be sent to us via e-mail.

Please indicate the doctoral program to which the following information applies

________________________________________

1. Please provide the name and e-mail address of the program respondent who will serve as the primary contact with the graduate program.

Name:_____________________________________________

Title:______________________________________________

E-mail address:______________________________________

Mailing Address:_____________________________________

__________________________________________________

City______________________State_______Zip Code_______

If this is an interdisciplinary program, please list the departments affiliated with the program.

___________________________________________________

For each individual identified in questions 2 and 3, please provide in a file sent by email to ude.san@tolipdr the information displayed in the table for the question.

2. Program Faculty: For each faculty member or senior research fellow or associate who participates in your doctoral program by directing theses, serving on doctoral committees, or teaching graduate courses, please provide the following information.

3. Faculty Employment History: For each faculty member listed in Question 2 who joined your program within the past five years, please provide the institution, company, or organization where he or she was employed immediately before joining your institution.

4. For the doctoral students in your program, please provide the number of students that fall into each of the following categories.

a. Total number of students:______

b. Status: Full-time______ Part-time______ Unknown______

c. Gender: Male______ Female______ Unknown______

d. Race/Ethnicity (if U.S. citizen or Permanent Residents)

e. Percentage of doctoral students with master's degree

Program Information

5. Does your program have a mission statement?

❏ Yes No ❏

If so, what is the mission statement? (50 words or less)

_______________________________________________

If there are particular areas of research emphasis in your doctoral from the subfields in [Taxonomy]:

______________________ _______________________

6. How many Ph.D.s have been awarded in the program in each of the past five years? (Note: Years span from July 1 to June 30)

2001–02 ____ 2000–01_____ 1999–00_____ 1998–99_____ 1997–98_____

7. For each of the academic years listed in the following table, enter the number of students who entered the program in the year and the number who completed their degrees in 4, 6, or 8, years or are still in the program. (Note: Years span from July 1 to June 30)

7a. Averaged over the past three years, what percent of entering students withdrew from the program before completing two years of study? ______%

7b. Averaged over the past three years, what has been the median time to degree for those who completed the program?_____(Note: the median time is the number of years it takes half of the number of students from the same entering year who are admitted to candidacy to complete their degree.)

8. Is a master's degree required of students prior to admission to your program?

9. What proportion of your full-time first-year doctoral students receive full support throughout their first year (tuition and an adequate living allowance provided as stipend or salary in program related work (TA or RA)? ________

10. How many years of full financial support could students entering your doctoral program expect to receive from your institution or an external source? _________

11. Over the past five years approximately what fraction of the first-year students in your program received financial support either from your institution or from extramural grants or fellowships?

Tuition only _____

Tuition and stipend _____

Stipend only __________

12. What proportion of currently enrolled doctoral students in your program (included in multiple categories if appropriate) are currently supported by:

13. Averaged over the past three years, what are the average and minimum GRE scores for students accepted into the program?

Do you require GRE subject scores for all students entering the program?

14. In each of the last three academic years, how many students did you accept into your doctoral program, and how many enrolled?

15. What percentage of the doctoral students in your program have individually assigned workspaces for their exclusive use?

TAs _____RAs _____ All students _____

16. On average, how many courses per term is each graduate teaching assistant in the program expected to teach or assist a faculty member in teaching?

With sole responsibility ____ As an Assistant to a faculty member ____

17. Which of the following apply to your doctoral program?

a. The program confers awards to honor graduate students for teaching and/or research.

❏Yes ❏ No

c. The program provides some form of travel support for doctoral students to attend professional meetings.

d. There is an organized program to help doctoral students improve their teaching skills.

e. The program provides organized assistance to help doctoral students explore employment opportunities.

18. List up to 5 institutions with which your program normally competes for graduate students:

Institution #1________________________________________

Institution #2________________________________________

Institution #3________________________________________

Institution #4________________________________________

Institution #5________________________________________

19. Does your program collect data about employment outcomes for your graduates?

If yes, do you provide potential applicants with this information?

20. Please list those interdisciplinary centers in which doctoral students from your program participate (conduct research or teach).

_______________________

You have been selected to receive this questionnaire because you are a member of the faculty who participates in the education of doctoral students at your university. This means that you either teach courses to doctoral students or supervise their dissertations. If this is not the case, please indicate that in question 1.

The assessment of research doctoral programs is conducted approximately every ten years and consists of a reputational survey of doctoral programs and the collection of data about doctoral faculty and students in fifty-seven areas of study. This questionnaire provides information that will assist the study in a number of ways: 1)it will help us construct a pool from which to select raters for the reputational survey; 2)it will provide us enough information about you that we can collect data on grants, citations, and publications from other sources; and 3)it will permit a statistical description of the faculty in the graduate program or programs with which you are affiliated. Your answers will be treated as completely confidential by the National Research Council and will only be released as part of a statistical analysis.

I. Program Identification

a. Do you supervise dissertations, serve on doctoral committees, or teach graduate courses in a doctoral program?

If your answer was “No”, you do not need to complete the rest of the questionnaire.

b. From the pulldown list, please choose the program of your primary affiliation/appointment

___________________________[Pull Down List of Res-Doc Programs]

If you have difficulty locating your program on the list, please refer to the [Taxonomy] list with fields and subfields

c. Please list all programs in which you supervise dissertations, serve on dissertation committees, or teach graduate courses and the average percentage of your time during the past year that you spent in all activities for each program with which you are associated. (Do not list programs where you are an outside reader.)

d. For the articles and books that you have published in the past five years, please list what fields you have published in Table 1 . If you have a single publication that spans multiple fields, please indicate them and their fields in Table 2 .

Table 1 Books and articles in a single field published in the past 3 years

Table 2 books and articles in multiple fields published in the past 3 years.

II. Current Employment

a. Department affiliation:_________________

d. Year first employed at current institution: [If employment was not continuous, please list year of most recent appointment at this institution.] __________________

e. Have you received an extramural grant or contract support in the past year?

f. Subfields of current research interest (refer to [Taxonomy] with subfields):

Subfield # 1: _________________

Subfield #2: __________________

Subfield #3: __________________

g. Do you consider part of your research to be interdisciplinary? ❏ Yes ❏ No If so, what is the area of that research? _____________________

h. Under what names or variants of your name have you published books or articles?

____________________________________________

III. Prior Experience

What was your status prior to your current position?

❏ Student ❏ Postdoc ❏ Faculty. ❏ Other:________________

Previous employer:_______________________________

Address: ______________________________________

City_____________________State/Country_______Zip Code______

Title: __________________________________________________

Employment Sector:

❏ Industry (for profit)

❏ National laboratory

❏ State or local government

❏ Federal government agency

❏ International agency

❏ 4-year college or university

❏ 2-year college

❏ K-12 school

❏ Hospital or clinic

❏ Foundation or nonprofit

❏ Military

❏ Other (specify: __________)

IV. Educational Background

b. Institution that conferred highest degree:

_________________________________________

c. Field of highest degree:

_________________________________[Pulldown List]

Other: ____________________________

d. Year of highest degree:

e. To what extent does the field of your current research, teaching, or professional activities differ from the field of your highest degree?

❏ Very similar ❏ Somewhat similar ❏ Very different

V. Demographic Information

a. Date of birth: __________(mm/dd/yy)

VI. Please provide your preferred e-mail address (where you can be reached if there are questions.)

________________________________________________

Thank you for your time.

This questionnaire is part of the National Research Council's Pilot Test of the Assessment of Research Doctoral Programs. Your university has volunteered to participate in this pilot test to assist the National Research Council's study of the methodology used to assess doctoral programs. One innovation we are considering is adding student responses about the educational processes of the program. We believe that students' input is important to improving the quality of the educational experience. Further information about the methodology study may be found at www7.nationalacademies.org/resdoc/index.html

You have been selected to receive this questionnaire because you are a student who has completed over half of your doctoral program. If this is not the case, please indicate that in question 1.

Your answers will be treated as completely confidential by the National Research Council and will only be released as part of a statistical analysis. Individual answers will not be shared with faculty or administrators of your doctoral program except in aggregated form.

Institution: _______________________________________________

Doctoral Program: _________________________________________

1. Educational Program

A. Year of enrollment in this doctoral program:_________

B. Year you expect to receive your doctorate:__________

C. Did you (or will you) receive a master's degree before this doctorate? ❏ Yes ❏ No

D. Did you (or will you) receive a master's degree in your doctoral field as part of your training?

⇍ Yes ⇍ No

If yes, did you write a master's thesis? ❏ Yes ❏ No

E. During the course of your study for the Ph.D. will you also receive any of the following as part of a joint, concurrent, or combined degree program:

Professional doctorate (e.g., MD, DOS, OD, JD)? ❏ Yes ❏ No

Professional master's (e.g., MBA, MPA, MPH)? ❏ Yes ❏ No

F. During the course of your study for the Ph.D. will you also receive a certificate in another field?

G. What were your career goals at the time you entered graduate school? [check all that apply]

U.S. Employment:

❏ Industry ❏ Government ❏ Nonprofit ❏ University

❏ 2-yr. college ❏ 4-yr. college Other: ______________

Non-U.S. Employment:

❏ 2-yr. college ❏ 4-yr. college Other: _______________

❏ Unknown

H. What are your current career plans? [check all that apply]

I. Of the following sources of support, which have been your primary sources during your doctoral studies? (Check the three largest)

2. Program Characteristics

A. Professional Development

1. During your doctoral program have you received (or will you receive) instruction, practice or professional development training in:

2. In your doctoral program did you have an opportunity to obtain teaching experience? Check the type(s) of teaching experience you have had:

If you have had teaching experience, please answer the following,

B. Program Environment

1. Does your program provide an annual or more frequent assessment of your progress?

2. Do you receive timely feedback on your research?

3. Do you have access to career advice covering a variety of employment sectors?

a. If yes, are you encouraged to use it? ❏ Yes ❏ No

4. Do you have one or more faculty members at your institution that you consider mentors (i.e., individuals from whom you seek advice about your education, career development, and other matters of concern to you as a graduate student)?

5. How would you rate the quality of teaching by faculty in your program?

❏ Excellent ❏ Good ❏ Fair ❏ Poor

6. How would you rate the quality of your research experience?

7. How would you rate the curriculum of your Ph.D. program?

8. How would you rate the overall quality of your program?

9. How would you rate the intellectual liveliness of your program?

10. Considering the overall intellectual environment of your university, how much do you feel you have benefited from it?

❏ A lot ❏ Some ❏ A little ❏ Not at all

C. Infrastructure

1. Does your program give you access to:

2. Does your program provide adequate space for interaction among students?

3. Are the library resources available to you adequate to support your research and education? ❏ Yes ❏ No

D. Research productivity

1. How many research presentations (including poster presentations) have you made at research conferences

2. How many research publications have you authored or co-authored during your doctoral studies (include pieces accepted for publication but not yet published)?

3. Background Information

E. Dependent care responsibilities:

1. Number of children living with you:

Age 6 or under ______ Over age 6 _______

3. Parents or other dependents

G. Marital Status:

Do you have a spouse or partner who lives with you?

Five-Seven Years Post-Ph.D Questionnaire

This questionnaire is part of the National Research Council's Pilot Test of the Assessment of Research Doctoral Programs. Your university has volunteered to participate in this pilot test to assist the National Research Council's study of the methodology used to assess doctoral programs. One innovation that we are considering is to add student responses to questions about the educational process of the program. Further information about the methodology study may be found at www7.nationalacademies.org/resdoc/index.html

You have been selected to receive this questionnaire because you are a student who has received a Ph.D. from this program five to seven years ago. If this is not the case, please indicate that in question 1.

The assessment of research doctoral programs is conducted approximately every ten years and consists of a reputational survey of doctoral programs and the collection of data about doctoral faculty and students in fifty-four areas of study. This questionnaire provides information that will assist the study in a number of ways: 1) it will help us learn whether a high enough percentage of students respond so that we can add student observations to the larger study; 2) it will provide us enough information about practices in your program that we can compare the practices of graduate programs in your field at different universities; and 3) it will permit a statistical description of the first-year students in the graduate program. Your answers will be treated as completely confidential by the National Research Council and will only be released as part of a statistical analysis. Individual answers will not be shared with faculty or administrators of your former doctoral program except in aggregated form.

a. Name of the program where you received your Ph.D. degree:

__________________________________________

b. Year of enrollment in the above Ph.D. program:___________

c. Year you received your Ph.D.: _________

d. Did you receive a master's degree at this institution before this Ph.D.? ❏ Yes ❏ No

e. Were you enrolled as a full-time student throughout your Ph.D. program? ❏ Yes ❏ No

f. Did you attend graduate school prior to enrollment in the above Ph.D. program?

If so, what degrees or certificates, if any, do you hold?

❏ Certificate ❏ Master's ❏ Doctoral ❏ Professional

g. What was your career goal when you completed your Ph.D.?

h. Have your career goals changed since you received your Ph.D.? ❏ Yes ❏ No

i. During your Ph.D. program, were you supported by funds from outside the institution? ❏ Yes ❏ No

(Check all that apply)

Type: ❏ Fellowship ❏ Training Grant ❏ Research Grant

❏ Your employer ❏ Other(Specify:_________)

j. Did you receive institutional support?

Type: ❏ Teaching Assistantship ❏ Research Assistantship ❏ Fellowship

❏ Tuition scholarship or waiver only ❏ Loan ❏ None ❏ Other(Specify:_)

2. Employment and Career Status

a. First employer or place of postdoctoral study after Ph.D. completion:

Name: __________________________________________

Address: ________________________________________

City___________________State/Country_______Zip Code______

Title: _________________________________________________

b. Employment Sector:

❏ University

❏ 4-year college

❏ Other (specify)

c. If you hold or have held a postdoctoral position or positions, how many_______, and at what institutions, companies or government agencies were they located? List chronologically starting with the most recent.

d. Current employer:

Name: __________________________________________________

Address:_________________________________________________

City______________State/Country__________Zip Code____________

Title:_____________________________________________________

e. Current Employment Sector:

3. Ph.D. Program Characteristics

a. During your Ph.D. education, in which of the following areas was training PROVIDED, which skills or experiences have you USED since graduation, and which area do you wish you had learned MORE about? (check all that apply)

1) Teaching experiemce ❏ Provided ❏ Used ❏ More

2) Oral communication; presentation skills ❏ Provided ❏ Used ❏ More

3) Writing proposals for funding ❏ Provided ❏ Used ❏ More

4) Manuscript preparation ❏ Provided ❏ Used ❏ More

5) Experience working in collaborative groups ❏ Provided ❏ Used ❏ More

6) Critical analysis ❏ Provided ❏ Used ❏ More

7) Locating and applying information ❏ Provided ❏ Used ❏ More

8) Experience working with people of varied educational levels ❏ Provided ❏ Used ❏ More

9) Experience working with people from diverse backgrounds ❏ Provided ❏ Used ❏ More

10) Experience working in teams ❏ Provided ❏ Used ❏ More

b. Research Productivity

1) How many books or edited books have you published or are currently accepted for publication? ___

2) How many articles or book chapters have you published or are currently accepted for publication? ___

3) How many books or articles have you reviewed for publication? ______

4) How many reviews, enumerated in 3), have been or will be published?

5) How many refereed papers have you or a coauthor presented at professional conferences? ___

6) How many awards have you received? (Respond to all categories.)

a) For teaching: _______

b) For research: _______

c) From professional societies: _______

d) From your institution or employer:________

7) How many patents or licenses have you received? ________

8) How many grants have you received from your employer or institution? _____

9) How many grants have you received from extramural funding agencies? _____

4. Background Information

d. Race/Ethnicity (if U.S. citizen)

❏ American Indian or Alaskan Native

❏ Asian

❏ Pacific Islander

❏ Black

❏ White

❏ Hispanic (❏ Mexican American, ❏ Puerto Rican, ❏ Other)

❏ Multiracial

f. Number of Children: Age 6 and unde r______ Over age 6

h. Is English your first language? Yes ❏ No ❏

Cite this Page National Research Council (US) Committee to Examine the Methodology for the Assessment of Research-Doctorate Programs; Ostriker JP, Kuh CV, editors. Assessing Research-Doctorate Programs: A Methodology Study. Washington (DC): National Academies Press (US); 2003. D, Sample Questionnaires.
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Home » Questionnaire – Definition, Types, and Examples

Questionnaire – Definition, Types, and Examples

Table of Contents

Questionnaire

Definition:

A Questionnaire is a research tool or survey instrument that consists of a set of questions or prompts designed to gather information from individuals or groups of people.

It is a standardized way of collecting data from a large number of people by asking them a series of questions related to a specific topic or research objective. The questions may be open-ended or closed-ended, and the responses can be quantitative or qualitative. Questionnaires are widely used in research, marketing, social sciences, healthcare, and many other fields to collect data and insights from a target population.

History of Questionnaire

The history of questionnaires can be traced back to the ancient Greeks, who used questionnaires as a means of assessing public opinion. However, the modern history of questionnaires began in the late 19th century with the rise of social surveys.

The first social survey was conducted in the United States in 1874 by Francis A. Walker, who used a questionnaire to collect data on labor conditions. In the early 20th century, questionnaires became a popular tool for conducting social research, particularly in the fields of sociology and psychology.

One of the most influential figures in the development of the questionnaire was the psychologist Raymond Cattell, who in the 1940s and 1950s developed the personality questionnaire, a standardized instrument for measuring personality traits. Cattell’s work helped establish the questionnaire as a key tool in personality research.

In the 1960s and 1970s, the use of questionnaires expanded into other fields, including market research, public opinion polling, and health surveys. With the rise of computer technology, questionnaires became easier and more cost-effective to administer, leading to their widespread use in research and business settings.

Today, questionnaires are used in a wide range of settings, including academic research, business, healthcare, and government. They continue to evolve as a research tool, with advances in computer technology and data analysis techniques making it easier to collect and analyze data from large numbers of participants.

Types of Questionnaire

Types of Questionnaires are as follows:

Structured Questionnaire

This type of questionnaire has a fixed format with predetermined questions that the respondent must answer. The questions are usually closed-ended, which means that the respondent must select a response from a list of options.

Unstructured Questionnaire

An unstructured questionnaire does not have a fixed format or predetermined questions. Instead, the interviewer or researcher can ask open-ended questions to the respondent and let them provide their own answers.

Open-ended Questionnaire

An open-ended questionnaire allows the respondent to answer the question in their own words, without any pre-determined response options. The questions usually start with phrases like “how,” “why,” or “what,” and encourage the respondent to provide more detailed and personalized answers.

Close-ended Questionnaire

In a closed-ended questionnaire, the respondent is given a set of predetermined response options to choose from. This type of questionnaire is easier to analyze and summarize, but may not provide as much insight into the respondent’s opinions or attitudes.

Mixed Questionnaire

A mixed questionnaire is a combination of open-ended and closed-ended questions. This type of questionnaire allows for more flexibility in terms of the questions that can be asked, and can provide both quantitative and qualitative data.

Pictorial Questionnaire:

In a pictorial questionnaire, instead of using words to ask questions, the questions are presented in the form of pictures, diagrams or images. This can be particularly useful for respondents who have low literacy skills, or for situations where language barriers exist. Pictorial questionnaires can also be useful in cross-cultural research where respondents may come from different language backgrounds.

Types of Questions in Questionnaire

The types of Questions in Questionnaire are as follows:

Multiple Choice Questions

These questions have several options for participants to choose from. They are useful for getting quantitative data and can be used to collect demographic information.

a. Red b . Blue c. Green d . Yellow

Rating Scale Questions

These questions ask participants to rate something on a scale (e.g. from 1 to 10). They are useful for measuring attitudes and opinions.

On a scale of 1 to 10, how likely are you to recommend this product to a friend?

Open-Ended Questions

These questions allow participants to answer in their own words and provide more in-depth and detailed responses. They are useful for getting qualitative data.

What do you think are the biggest challenges facing your community?

Likert Scale Questions

These questions ask participants to rate how much they agree or disagree with a statement. They are useful for measuring attitudes and opinions.

How strongly do you agree or disagree with the following statement:

“I enjoy exercising regularly.”

a . Strongly Agree
c . Neither Agree nor Disagree
d . Disagree
e . Strongly Disagree

Demographic Questions

These questions ask about the participant’s personal information such as age, gender, ethnicity, education level, etc. They are useful for segmenting the data and analyzing results by demographic groups.

What is your age?

Yes/No Questions

These questions only have two options: Yes or No. They are useful for getting simple, straightforward answers to a specific question.

Have you ever traveled outside of your home country?

Ranking Questions

These questions ask participants to rank several items in order of preference or importance. They are useful for measuring priorities or preferences.

Please rank the following factors in order of importance when choosing a restaurant:

a. Quality of Food
c. Ambiance
d. Location

Matrix Questions

These questions present a matrix or grid of options that participants can choose from. They are useful for getting data on multiple variables at once.

Dichotomous Questions

These questions present two options that are opposite or contradictory. They are useful for measuring binary or polarized attitudes.

Do you support the death penalty?

How to Make a Questionnaire

Step-by-Step Guide for Making a Questionnaire:

Define your research objectives: Before you start creating questions, you need to define the purpose of your questionnaire and what you hope to achieve from the data you collect.
Choose the appropriate question types: Based on your research objectives, choose the appropriate question types to collect the data you need. Refer to the types of questions mentioned earlier for guidance.
Develop questions: Develop clear and concise questions that are easy for participants to understand. Avoid leading or biased questions that might influence the responses.
Organize questions: Organize questions in a logical and coherent order, starting with demographic questions followed by general questions, and ending with specific or sensitive questions.
Pilot the questionnaire : Test your questionnaire on a small group of participants to identify any flaws or issues with the questions or the format.
Refine the questionnaire : Based on feedback from the pilot, refine and revise the questionnaire as necessary to ensure that it is valid and reliable.
Distribute the questionnaire: Distribute the questionnaire to your target audience using a method that is appropriate for your research objectives, such as online surveys, email, or paper surveys.
Collect and analyze data: Collect the completed questionnaires and analyze the data using appropriate statistical methods. Draw conclusions from the data and use them to inform decision-making or further research.
Report findings: Present your findings in a clear and concise report, including a summary of the research objectives, methodology, key findings, and recommendations.

Questionnaire Administration Modes

There are several modes of questionnaire administration. The choice of mode depends on the research objectives, sample size, and available resources. Some common modes of administration include:

Self-administered paper questionnaires: Participants complete the questionnaire on paper, either in person or by mail. This mode is relatively low cost and easy to administer, but it may result in lower response rates and greater potential for errors in data entry.
Online questionnaires: Participants complete the questionnaire on a website or through email. This mode is convenient for both researchers and participants, as it allows for fast and easy data collection. However, it may be subject to issues such as low response rates, lack of internet access, and potential for fraudulent responses.
Telephone surveys: Trained interviewers administer the questionnaire over the phone. This mode allows for a large sample size and can result in higher response rates, but it is also more expensive and time-consuming than other modes.
Face-to-face interviews : Trained interviewers administer the questionnaire in person. This mode allows for a high degree of control over the survey environment and can result in higher response rates, but it is also more expensive and time-consuming than other modes.
Mixed-mode surveys: Researchers use a combination of two or more modes to administer the questionnaire, such as using online questionnaires for initial screening and following up with telephone interviews for more detailed information. This mode can help overcome some of the limitations of individual modes, but it requires careful planning and coordination.

Example of Questionnaire

Title of the Survey: Customer Satisfaction Survey

Introduction:

We appreciate your business and would like to ensure that we are meeting your needs. Please take a few minutes to complete this survey so that we can better understand your experience with our products and services. Your feedback is important to us and will help us improve our offerings.

Instructions:

Please read each question carefully and select the response that best reflects your experience. If you have any additional comments or suggestions, please feel free to include them in the space provided at the end of the survey.

1. How satisfied are you with our product quality?

Very satisfied
Somewhat satisfied
Somewhat dissatisfied
Very dissatisfied

2. How satisfied are you with our customer service?

3. How satisfied are you with the price of our products?

4. How likely are you to recommend our products to others?

Very likely
Somewhat likely
Somewhat unlikely
Very unlikely

5. How easy was it to find the information you were looking for on our website?

Somewhat easy
Somewhat difficult
Very difficult

6. How satisfied are you with the overall experience of using our products and services?

7. Is there anything that you would like to see us improve upon or change in the future?

…………………………………………………………………………………………………………………………..

Conclusion:

Thank you for taking the time to complete this survey. Your feedback is valuable to us and will help us improve our products and services. If you have any further comments or concerns, please do not hesitate to contact us.

Applications of Questionnaire

Some common applications of questionnaires include:

Research : Questionnaires are commonly used in research to gather information from participants about their attitudes, opinions, behaviors, and experiences. This information can then be analyzed and used to draw conclusions and make inferences.
Healthcare : In healthcare, questionnaires can be used to gather information about patients’ medical history, symptoms, and lifestyle habits. This information can help healthcare professionals diagnose and treat medical conditions more effectively.
Marketing : Questionnaires are commonly used in marketing to gather information about consumers’ preferences, buying habits, and opinions on products and services. This information can help businesses develop and market products more effectively.
Human Resources: Questionnaires are used in human resources to gather information from job applicants, employees, and managers about job satisfaction, performance, and workplace culture. This information can help organizations improve their hiring practices, employee retention, and organizational culture.
Education : Questionnaires are used in education to gather information from students, teachers, and parents about their perceptions of the educational experience. This information can help educators identify areas for improvement and develop more effective teaching strategies.

Purpose of Questionnaire

Some common purposes of questionnaires include:

To collect information on attitudes, opinions, and beliefs: Questionnaires can be used to gather information on people’s attitudes, opinions, and beliefs on a particular topic. For example, a questionnaire can be used to gather information on people’s opinions about a particular political issue.
To collect demographic information: Questionnaires can be used to collect demographic information such as age, gender, income, education level, and occupation. This information can be used to analyze trends and patterns in the data.
To measure behaviors or experiences: Questionnaires can be used to gather information on behaviors or experiences such as health-related behaviors or experiences, job satisfaction, or customer satisfaction.
To evaluate programs or interventions: Questionnaires can be used to evaluate the effectiveness of programs or interventions by gathering information on participants’ experiences, opinions, and behaviors.
To gather information for research: Questionnaires can be used to gather data for research purposes on a variety of topics.

When to use Questionnaire

Here are some situations when questionnaires might be used:

When you want to collect data from a large number of people: Questionnaires are useful when you want to collect data from a large number of people. They can be distributed to a wide audience and can be completed at the respondent’s convenience.
When you want to collect data on specific topics: Questionnaires are useful when you want to collect data on specific topics or research questions. They can be designed to ask specific questions and can be used to gather quantitative data that can be analyzed statistically.
When you want to compare responses across groups: Questionnaires are useful when you want to compare responses across different groups of people. For example, you might want to compare responses from men and women, or from people of different ages or educational backgrounds.
When you want to collect data anonymously: Questionnaires can be useful when you want to collect data anonymously. Respondents can complete the questionnaire without fear of judgment or repercussions, which can lead to more honest and accurate responses.
When you want to save time and resources: Questionnaires can be more efficient and cost-effective than other methods of data collection such as interviews or focus groups. They can be completed quickly and easily, and can be analyzed using software to save time and resources.

Characteristics of Questionnaire

Here are some of the characteristics of questionnaires:

Standardization : Questionnaires are standardized tools that ask the same questions in the same order to all respondents. This ensures that all respondents are answering the same questions and that the responses can be compared and analyzed.
Objectivity : Questionnaires are designed to be objective, meaning that they do not contain leading questions or bias that could influence the respondent’s answers.
Predefined responses: Questionnaires typically provide predefined response options for the respondents to choose from, which helps to standardize the responses and make them easier to analyze.
Quantitative data: Questionnaires are designed to collect quantitative data, meaning that they provide numerical or categorical data that can be analyzed using statistical methods.
Convenience : Questionnaires are convenient for both the researcher and the respondents. They can be distributed and completed at the respondent’s convenience and can be easily administered to a large number of people.
Anonymity : Questionnaires can be anonymous, which can encourage respondents to answer more honestly and provide more accurate data.
Reliability : Questionnaires are designed to be reliable, meaning that they produce consistent results when administered multiple times to the same group of people.
Validity : Questionnaires are designed to be valid, meaning that they measure what they are intended to measure and are not influenced by other factors.

Advantage of Questionnaire

Some Advantage of Questionnaire are as follows:

Standardization: Questionnaires allow researchers to ask the same questions to all participants in a standardized manner. This helps ensure consistency in the data collected and eliminates potential bias that might arise if questions were asked differently to different participants.
Efficiency: Questionnaires can be administered to a large number of people at once, making them an efficient way to collect data from a large sample.
Anonymity: Participants can remain anonymous when completing a questionnaire, which may make them more likely to answer honestly and openly.
Cost-effective: Questionnaires can be relatively inexpensive to administer compared to other research methods, such as interviews or focus groups.
Objectivity: Because questionnaires are typically designed to collect quantitative data, they can be analyzed objectively without the influence of the researcher’s subjective interpretation.
Flexibility: Questionnaires can be adapted to a wide range of research questions and can be used in various settings, including online surveys, mail surveys, or in-person interviews.

Limitations of Questionnaire

Limitations of Questionnaire are as follows:

Limited depth: Questionnaires are typically designed to collect quantitative data, which may not provide a complete understanding of the topic being studied. Questionnaires may miss important details and nuances that could be captured through other research methods, such as interviews or observations.
R esponse bias: Participants may not always answer questions truthfully or accurately, either because they do not remember or because they want to present themselves in a particular way. This can lead to response bias, which can affect the validity and reliability of the data collected.
Limited flexibility: While questionnaires can be adapted to a wide range of research questions, they may not be suitable for all types of research. For example, they may not be appropriate for studying complex phenomena or for exploring participants’ experiences and perceptions in-depth.
Limited context: Questionnaires typically do not provide a rich contextual understanding of the topic being studied. They may not capture the broader social, cultural, or historical factors that may influence participants’ responses.
Limited control : Researchers may not have control over how participants complete the questionnaire, which can lead to variations in response quality or consistency.

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Researcher, Academic Writer, Web developer

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Dissertation surveys: Questions, examples, and best practices

Collect data for your dissertation with little effort and great results.

Dissertation surveys are one of the most powerful tools to get valuable insights and data for the culmination of your research. However, it’s one of the most stressful and time-consuming tasks you need to do. You want useful data from a representative sample that you can analyze and present as part of your dissertation. At SurveyPlanet, we’re committed to making it as easy and stress-free as possible to get the most out of your study.

With an intuitive and user-friendly design, our templates and premade questions can be your allies while creating a survey for your dissertation. Explore all the options we offer by simply signing up for an account—and leave the stress behind.

How to write dissertation survey questions

The first thing to do is to figure out which group of people is relevant for your study. When you know that, you’ll also be able to adjust the survey and write questions that will get the best results.

The next step is to write down the goal of your research and define it properly. Online surveys are one of the best and most inexpensive ways to reach respondents and achieve your goal.

Before writing any questions, think about how you’ll analyze the results. You don’t want to write and distribute a survey without keeping how to report your findings in mind. When your thesis questionnaire is out in the real world, it’s too late to conclude that the data you’re collecting might not be any good for assessment. Because of that, you need to create questions with analysis in mind.

You may find our five survey analysis tips for better insights helpful. We recommend reading it before analyzing your results.

Once you understand the parameters of your representative sample, goals, and analysis methodology, then it’s time to think about distribution. Survey distribution may feel like a headache, but you’ll find that many people will gladly participate.

Find communities where your targeted group hangs out and share the link to your survey with them. If you’re not sure how large your research sample should be, gauge it easily with the survey sample size calculator.

Need help with writing survey questions? Read our guide on well-written examples of good survey questions .

Dissertation survey examples

Whatever field you’re studying, we’re sure the following questions will prove useful when crafting your own.

At the beginning of every questionnaire, inform respondents of your topic and provide a consent form. After that, start with questions like:

Please select your gender:
What is the highest educational level you’ve completed?
High school
Bachelor degree
Master’s degree
On a scale of 1-7, how satisfied are you with your current job?
Please rate the following statements:
I always wait for people to text me first.
Strongly Disagree
Neither agree nor disagree
Strongly agree
My friends always complain that I never invite them anywhere.
I prefer spending time alone.
Rank which personality traits are most important when choosing a partner. Rank 1 - 7, where 1 is the most and 7 is the least important.
Flexibility
Independence
How openly do you share feelings with your partner?
Almost never
Almost always
In the last two weeks, how often did you experience headaches?

Dissertation survey best practices

There are a lot of DOs and DON’Ts you should keep in mind when conducting any survey, especially for your dissertation. To get valuable data from your targeted sample, follow these best practices:

Use the consent form.

The consent form is a must when distributing a research questionnaire. A respondent has to know how you’ll use their answers and that the survey is anonymous.

Avoid leading and double-barreled questions

Leading and double-barreled questions will produce inconclusive results—and you don’t want that. A question such as: “Do you like to watch TV and play video games?” is double-barreled because it has two variables.

On the other hand, leading questions such as “On a scale from 1-10 how would you rate the amazing experience with our customer support?” influence respondents to answer in a certain way, which produces biased results.

Use easy and straightforward language and questions

Don’t use terms and professional jargon that respondents won’t understand. Take into consideration their educational level and demographic traits and use easy-to-understand language when writing questions.

Mix close-ended and open-ended questions

Too many open-ended questions will annoy respondents. Also, analyzing the responses is harder. Use more close-ended questions for the best results and only a few open-ended ones.

Strategically use different types of responses

Likert scale, multiple-choice, and ranking are all types of responses you can use to collect data. But some response types suit some questions better. Make sure to strategically fit questions with response types.

Ensure that data privacy is a priority

Make sure to use an online survey tool that has SSL encryption and secure data processing. You don’t want to risk all your hard work going to waste because of poorly managed data security. Ensure that you only collect data that’s relevant to your dissertation survey and leave out any questions (such as name) that can identify the respondents.

Create dissertation questionnaires with SurveyPlanet

Overall, survey methodology is a great way to find research participants for your research study. You have all the tools required for creating a survey for a dissertation with SurveyPlanet—you only need to sign up . With powerful features like question branching, custom formatting, multiple languages, image choice questions, and easy export you will find everything needed to create, distribute, and analyze a dissertation survey.

Happy data gathering!

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Early iterations of the AI applications we interact with most today were built on traditional machine learning models. These models rely on learning algorithms that are developed and maintained by data scientists. In other words, traditional machine learning models need human intervention to process new information and perform any new task that falls outside their initial training.

For example, Apple made Siri a feature of its iOS in 2011. This early version of Siri was trained to understand a set of highly specific statements and requests. Human intervention was required to expand Siri’s knowledge base and functionality.

However, AI capabilities have been evolving steadily since the breakthrough development of artificial neural networks in 2012, which allow machines to engage in reinforcement learning and simulate how the human brain processes information.

Unlike basic machine learning models, deep learning models allow AI applications to learn how to perform new tasks that need human intelligence, engage in new behaviors and make decisions without human intervention. As a result, deep learning has enabled task automation, content generation, predictive maintenance and other capabilities across industries .

Due to deep learning and other advancements, the field of AI remains in a constant and fast-paced state of flux. Our collective understanding of realized AI and theoretical AI continues to shift, meaning AI categories and AI terminology may differ (and overlap) from one source to the next. However, the types of AI can be largely understood by examining two encompassing categories: AI capabilities and AI functionalities.

1. Artificial Narrow AI

Artificial Narrow Intelligence, also known as Weak AI (what we refer to as Narrow AI), is the only type of AI that exists today. Any other form of AI is theoretical. It can be trained to perform a single or narrow task, often far faster and better than a human mind can.

However, it can’t perform outside of its defined task. Instead, it targets a single subset of cognitive abilities and advances in that spectrum. Siri, Amazon’s Alexa and IBM Watson are examples of Narrow AI. Even OpenAI’s ChatGPT is considered a form of Narrow AI because it’s limited to the single task of text-based chat.

2. General AI

Artificial General Intelligence (AGI), also known as Strong AI , is today nothing more than a theoretical concept. AGI can use previous learnings and skills to accomplish new tasks in a different context without the need for human beings to train the underlying models. This ability allows AGI to learn and perform any intellectual task that a human being can.

3. Super AI

Super AI is commonly referred to as artificial superintelligence and, like AGI, is strictly theoretical. If ever realized, Super AI would think, reason, learn, make judgements and possess cognitive abilities that surpass those of human beings.

The applications possessing Super AI capabilities will have evolved beyond the point of understanding human sentiments and experiences to feel emotions, have needs and possess beliefs and desires of their own.

Underneath Narrow AI, one of the three types based on capabilities, there are two functional AI categories:

1. Reactive Machine AI

Reactive machines are AI systems with no memory and are designed to perform a very specific task. Since they can’t recollect previous outcomes or decisions, they only work with presently available data. Reactive AI stems from statistical math and can analyze vast amounts of data to produce a seemingly intelligent output.

Examples of Reactive Machine AI

IBM Deep Blue: IBM’s chess-playing supercomputer AI beat chess grandmaster Garry Kasparov in the late 1990s by analyzing the pieces on the board and predicting the probable outcomes of each move.
The Netflix Recommendation Engine: Netflix’s viewing recommendations are powered by models that process data sets collected from viewing history to provide customers with content they’re most likely to enjoy.

2. Limited Memory AI

Unlike Reactive Machine AI, this form of AI can recall past events and outcomes and monitor specific objects or situations over time. Limited Memory AI can use past- and present-moment data to decide on a course of action most likely to help achieve a desired outcome.

However, while Limited Memory AI can use past data for a specific amount of time, it can’t retain that data in a library of past experiences to use over a long-term period. As it’s trained on more data over time, Limited Memory AI can improve in performance.

Examples of Limited Memory AI

Generative AI: Generative AI tools such as ChatGPT, Bard and DeepAI rely on limited memory AI capabilities to predict the next word, phrase or visual element within the content it’s generating.
Virtual assistants and chatbots: Siri, Alexa, Google Assistant, Cortana and IBM Watson Assistant combine natural language processing (NLP) and Limited Memory AI to understand questions and requests, take appropriate actions and compose responses.
Self-driving cars: Autonomous vehicles use Limited Memory AI to understand the world around them in real-time and make informed decisions on when to apply speed, brake, make a turn, etc.

3. Theory of Mind AI

Theory of Mind AI is a functional class of AI that falls underneath the General AI. Though an unrealized form of AI today, AI with Theory of Mind functionality would understand the thoughts and emotions of other entities. This understanding can affect how the AI interacts with those around them. In theory, this would allow the AI to simulate human-like relationships.

Because Theory of Mind AI could infer human motives and reasoning, it would personalize its interactions with individuals based on their unique emotional needs and intentions. Theory of Mind AI would also be able to understand and contextualize artwork and essays, which today’s generative AI tools are unable to do.

Emotion AI is a theory of mind AI currently in development. AI researchers hope it will have the ability to analyze voices, images and other kinds of data to recognize, simulate, monitor and respond appropriately to humans on an emotional level. To date, Emotion AI is unable to understand and respond to human feelings.

4. Self-Aware AI

Self-Aware AI is a kind of functional AI class for applications that would possess super AI capabilities. Like theory of mind AI, Self-Aware AI is strictly theoretical. If ever achieved, it would have the ability to understand its own internal conditions and traits along with human emotions and thoughts. It would also have its own set of emotions, needs and beliefs.

Emotion AI is a Theory of Mind AI currently in development. Researchers hope it will have the ability to analyze voices, images and other kinds of data to recognize, simulate, monitor and respond appropriately to humans on an emotional level. To date, Emotion AI is unable to understand and respond to human feelings.

Computer vision

Narrow AI applications with computer vision can be trained to interpret and analyze the visual world. This allows intelligent machines to identify and classify objects within images and video footage.

Applications of computer vision include:

Image recognition and classification
Object detection
Object tracking
Facial recognition
Content-based image retrieval

Computer vision is critical for use cases that involve AI machines interacting and traversing the physical world around them. Examples include self-driving cars and machines navigating warehouses and other environments.

Robots in industrial settings can use Narrow AI to perform routine, repetitive tasks that involve materials handling, assembly and quality inspections. In healthcare, robots equipped with Narrow AI can assist surgeons in monitoring vitals and detecting potential issues during procedures.

Agricultural machines can engage in autonomous pruning, moving, thinning, seeding and spraying. And smart home devices such as the iRobot Roomba can navigate a home’s interior using computer vision and use data stored in memory to understand its progress.

Expert systems

Expert systems equipped with Narrow AI capabilities can be trained on a corpus to emulate the human decision-making process and apply expertise to solve complex problems. These systems can evaluate vast amounts of data to uncover trends and patterns to make decisions. They can also help businesses predict future events and understand why past events occurred.

IBM has pioneered AI from the very beginning, contributing breakthrough after breakthrough to the field. IBM most recently released a big upgrade to its cloud-based, generative AI platform known as watsonx. IBM watsonx.ai brings together new generative AI capabilities, powered by foundation models and traditional machine learning into a powerful studio spanning the entire AI lifecycle. With watsonx.ai, data scientists can build, train and deploy machine learning models in a single collaborative studio environment.

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More From Forbes

Answering 'what are you passionate about' in a job interview.

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Talking effectively about your passions will set you apart in an interview.

Interviewing is stressful, and one of the most challenging questions to answer is “What are you passionate about?” It’s a tough question because it may be unclear how to answer it in a way that seems relevant to the job—and it’s uncomfortable to be under the interviewer’s microscope, feeling the pressure to put yourself in your best light.

Preparing for this question is important to getting the role though, because the job market is challenging and the competition is fierce. Fully 73% of people experience frustration with the job search process, according to a survey by The Harris Poll conducted for Bloomberg , and 73% also say they have declining faith in the system, based on data from Monster ,

But if you are prepared to demonstrate your capability and your confidence, you can shine through the difficulty and increase your chances of getting the job.

Why Interviewers Ask, “What Are You Passionate About”

Why is this an important question that is often included in interviews? While it may seem too personal or unrelated to the job, interviewers have legitimate reasons for asking questions about your passions. They want to know what you’re interested in and what motivates you —and they want to know your strengths. They also want to know if you’re self-aware and able to reflect on what you most enjoy.

Employers understand that if you’re doing things that you like and that you’re good at, you’re more likely to be engaged, more satisfied , do great work and stay with the organization.

Ghost Of Tsushima Is Already Flooded With Negative Reviews On Steam

Wwe smackdown results, winners and grades with stratton vs. belair, biden trump debates what to know as trump pushes for 2 more faceoffs, how interviewers ask about your passions.

What are the different potential versions of the question, “What are you passionate about?”

You’ll want to listen for interviewers to ask a question about your passion in multiple ways. They may ask directly, “What are you passionate about?” But they may also ask questions like,

What energizes you?
What do you like to do outside of work?
What are you most enthusiastic to do on the job?
What do you do best?
What kind of work makes you most excited?
What do you find most engaging?

No matter how they ask the question, be sure you’re ready with the key themes you want to communicate as well as a few examples—so you have ideas prepared, especially if they ask multiple questions or ask follow up questions.

Talk about why you're passionate about an activity and link to the job.

How to Answer “What Are You Passionate About”

So how should someone answer, “What are you passionate about?” in an interview? And what are key points or themes that should be included in the response? These are the specific ways you can answer the question most successfully.

1. Be Authentic

Perhaps most important is that you talk about something you’re genuinely passionate about. If you choose something contrived, the interviewer will be able to tell. A lack of transparency will detract from your credibility and ability to build rapport with the interviewer.

Communicate key points about what you’re interested in, what energizes you and what you’re drawn to.

2. Give an Example

Bring your answer to life by providing an example of how you’ve experienced your passion.

3. Provide a ‘Why’

You’ll make your answer relevant by clarifying why you love the activity—being sure to choose something that you can relate back to the job.

Perhaps you love tutoring children because you especially love to coach others and bring them along—and you appreciate working together with teammates to coach and guide. Or maybe you enjoy deep sea fishing because it requires knowledge of ocean currents and regional weather patterns, and you love the process of learning and expanding your capabilities—which you’ll be enthusiastic to do in the job as well.

4. Link Your Passion to the Job

Of course, the most important portion of your answer is how you link your answer to the job you’re applying for. You can connect almost any passion to a job by emphasizing your strengths or positive characteristics.

Coaching others or learning are examples. You might also talk about how much you love hiking and you appreciate not only being out in nature, but the analytical process of mapping the trails, planning for elevations and establishing best practices for taking necessary provisions—all of which relate to the analytical nature of the job you’re applying for.

Or you may love to travel, including the emphasis on managing the details of flights, hotels and scheduling tours—much like the project management aspects of the job you want. Or you may love painting or pottery—and creating something new and always applying fresh thinking—much like the ways you’ll apply innovative approaches to the job you’re seeking.

Be Yourself

When you’re talking about your passion, be yourself and let your enthusiasm come through as you answer. You’ll build trust with the interviewer when you demonstrate that you’re open and genuine about what you’re sharing.

You’ll also need to find the balance of sharing something real, and not sounding like you’re forcing a connection. You probably have a few different passions, so choose one that you can relate to the job you want—and ensure you can effectively and meaningfully articulate the links.

By letting your passion show , you’ll be able to give yourself a terrific advantage over other candidates—and get the job.

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