1985
Develop a model to aid understanding about how new medical information in general and technology assessments in particular reaches practising physician and affects their practice
Thirteen of the twenty included dissemination frameworks were either explicitly or implicitly judged to be based on the Persuasive Communication Matrix [ 35 , 36 ]. Originally derived from a review of the literature of persuasion which sought to operationalise Lasswell's seminal description of persuasive communications as being about 'Who says what in which channel to whom with what effect' [ 37 ]. McGuire argued that there are five variables that influence the impact of persuasive communications. These are the source of communication, the message to be communicated, the channels of communication, the characteristics of the audience (receiver), and the setting (destination) in which the communication is received.
Included frameworks were judged to encompass either three [ 21 , 27 , 29 ], four [ 15 , 20 , 23 , 26 , 28 , 31 , 38 ], or all five [ 11 , 18 , 25 ] of McGuire's five input variables, namely, the source, channel, message, audience, and setting. The earliest conceptual model included in the review explicitly applied McGuire's five input variables to the dissemination of medical technology assessments [ 11 ]. Only one other framework (in its most recent version) explicitly acknowledges McGuire [ 17 ]; the original version acknowledged the influence of Winkler et al . on its approach to conceptualising systematic review dissemination [ 18 ]. The original version of the CRD approach [ 18 , 39 ] is itself referred to by two of the other eight frameworks [ 20 , 23 ]
Diffusion of Innovations theory [ 40 , 41 ] is explicitly cited by eight of the dissemination frameworks [ 11 , 17 , 19 , 22 , 24 , 28 , 29 , 34 ]. Diffusion of Innovations offers a theory of how, why, and at what rate practices or innovations spread through defined populations and social systems. The theory proposes that there are intrinsic characteristics of new ideas or innovations that determine their rate of adoption, and that actual uptake occurs over time via a five-phase innovation-decision process (knowledge, persuasion, decision, implementation, and confirmation). The included frameworks are focussed on the knowledge and persuasion stages of the innovation-decision process.
Two of the included dissemination frameworks make reference to Social Marketing [ 42 ]. One briefly discusses the potential application of social and commercial marketing and advertising principles and strategies in the promotion of non-commercial services, ideas, or research-based knowledge [ 22 ]. The other briefly argues that a social marketing approach could take into account a planning process involving 'consumer' oriented research, objective setting, identification of barriers, strategies, and new formats [ 30 ]. However, this framework itself does not represent a comprehensive application of social marketing theory and principles, and instead highlights five factors that are focussed around formatting evidence-based information so that it is clear and appealing by defined target audiences.
Three other distinct dissemination frameworks were included, two of which are based on literature reviews and researcher experience [ 14 , 32 ]. The first framework takes a novel question-based approach and aims to increase researchers' awareness of the type of context information that might prove useful when disseminating knowledge to target audiences [ 14 ]. The second framework presents a model that can be used to identify barriers and facilitators and to design interventions to aid the transfer and utilization of research knowledge [ 32 ]. The final framework is derived from Two Communities Theory [ 43 ] and proposes pragmatic strategies for communicating across conflicting cultures research and policy; it suggests a shift away from simple one-way communication of research to researchers developing collaborative relationships with policy makers [ 33 ].
Table Table2 2 summarises in chronological order the dissemination elements of 13 conceptual frameworks relating to knowledge translation that could be used by researchers to guide their dissemination activities [ 13 , 44 - 55 ].
Conceptual frameworks relating to knowledge translation that could be used by researchers to guide their dissemination activities
Author, Year, Aims | Dissemination elements | Theoretical foundations | Description/Comment |
---|---|---|---|
Funk [ ] 1989 To facilitate the use of research in clinical settings by providing findings that are relevant and ready to use, in a form that maintains the richness of full research reports yet is still understandable to the general reader. | Qualities of Research (described as topic selection based on literature reviews and surveys of clinicians with criteria focussed on relevance, applicability and the perceived gaps between evidence and practice) Characteristics of the communication (including use of non-technical language, emphasis on implications for practice and strategies for implementation). Facilitation of utilisation (provision of enquiry centre for implementation advice and to respond to requests for further information and feedback channel for researchers and practitioners) | None | Describes an approach devised by the National Center for Nursing Research to make research results accessible to practising nurses via a topic focused conference and monograph series. |
Lomas[ , ] 1993 Presents a coordinated implementation model that that seeks to shed light on dissemination processes and on best how to flow research findings into practice. | Dissemination elements within wider implementation model: The message Its source The communication channels The implementation setting | Full model derived from models of social influence, diffusion of innovations, adult learning theory and social marketing. Four (source, setting, message, channel) of McGuire's five attributes of persuasive communication evident (explicitly derived from Winkler) Winkler | Argues that use of research in practice may depend more on a change in researchers behaviour than it does on practitioners-research findings most likely to find their way into practice when they are synthesised, contextualised, packaged to the needs of the end user. Wider model recognises the external influencing factors on the overall practice environment including, economic resources, legislation and regulation, education, personnel as well as public (media) and patient pressures. |
Dobbins[ ] 2002 To construct a comprehensive framework of research dissemination and utilisation. | Complex interrelationships that exist among five stages of innovation (knowledge, persuasion, decision, implementation and confirmation) and four types of characteristics (innovation, organization, environment and individual) as progression from research dissemination to research utilization occurs | Explicit application of Rogers diffusion of innovations innovation-decision process None | Application of Rogers's innovation-decision process to health research dissemination and utilisation. Framework integrates concepts of research dissemination (knowledge, persuasion), evidence-based decision making (decision) and research utilisation (implementation) within the innovations decision process of diffusion of innovations theory. Argues that the extent to which an individual or organisation becomes knowledgeable about new ideas is somewhat dependent on the dissemination strategies employed by health researchers |
Elliot [ ] 2003 Present a conceptual and analytic frameworks that integrate several approaches to understanding and studying dissemination processes within public health systems focussed on cardiovascular health promotion | Four categories of factors shown to affect the success of dissemination efforts: Characteristics of the dissemination object Environmental factors, Factors associated with users Relationships between producers and users. | Derived from Diffusion of Innovations-goes on to describe five approaches to dissemination (science push, problem solving, organisational, knowledge transfer and interaction) None | Authors state that dissemination and capacity exist within a broader social, political, economic context operating at micro, meso and macro levels The framework posits that contextual factors act as mediators shaping the behaviours and values of individuals and organizations, innovations, and influencing the process and outcome of capacity building and dissemination. |
Greenhalgh [ , ] 2004 Review of the literature on the spread and sustainability of innovations in health service delivery and organisation Develop and apply (in four case studies) a unifying conceptual model based on the evidence. | Planned dissemination elements within wider model: Address needs and perspectives of potential adopters Tailor different strategies to different groups Use appropriate messages Use appropriate communication channels Undertake rigorous evaluation | Application of Diffusion of Innovations in a health service delivery and organisation context Not explicitly stated but four (message, setting, audience, channel) of McGuire's five attributes of persuasive communication None | Formal dissemination programs, defined as active and planned efforts to persuade target groups to adopt an innovation are more effective if the program's organizers (1) take full account of potential adopters' needs and perspectives, with particular attention to the balance of costs and benefits for them; (2) tailor different strategies to the different demographic, structural, and cultural features of different subgroups; (3) use a message with appropriate style, imagery, metaphors, and so on; (4) identify and use appropriate communication channels; and (5) incorporate rigorous evaluation and monitoring of defined goals and milestones |
Green [ ] 2006 Review tobacco control dissemination experience to draw guidance for physical activity promotion | Push: strengthening science push by proving, improving, and communicating effective interventions for wide population use; Pull: boosting demand, or market pull for interventions among consumers, and healthcare purchasers and policymakers Capacity: building the capacity of relevant systems and institutions to deliver them | Diffusion of Innovations used to assess how tobacco control lessons diffuse and apply to the field of physical activity None | Author's state dissemination encompasses the planned facilitation and acceleration of diffusion of innovations, transfer and utilization of knowledge, and implementation of the resulting adaptations in local circumstances. Author suggest lessons from tobacco control include the need for a funded mandate; the mass media to frame the public policy debate and to help undermine negative behaviour; the comprehensiveness of interventions at national and local levels to mutually reinforce each other; the need for systematic evaluation; the need for policy and funding to support programs; the need for coordinated programs to support individuals. |
Owen [ ] 2006 Outline the main attributes of Diffusion of Innovations and key concepts to consider in the dissemination and diffusion of innovations to promote physical activity | Advocacy: identifying and engaging key stakeholders Increased funding to build the evidence base to supply diffusion and dissemination strategies and to allow investigators to gain experience with type of role Implement surveillance systems to track use of evidence-based interventions | Application of Diffusion of Innovations in a public health context RE-AIM framework can be used to determine the success and impact of dissemination efforts None | Diffusion of innovations theory can be applied to accelerate the rate of diffusion specifically to promote physical activity interventions. Authors present two case studies and argue that their success illustrates the need for dedicated field staff, product production, marketing, and distribution. |
Landry [ ] 2007 To determine the extent of research transfer in natural sciences and engineering among Canadian university researchers; to examine any differences between various disciplines with regard to the extent of transfer; to examine the determinants of research transfer | Four categories of resources (along with the attributes of research knowledge) likely to enable researchers to transfer knowledge: Financial Organizational Relational Personal | Resource-based view of the firm-researchers have resources and capabilities which are deployed and mobilized in their knowledge transfer activities None | Based on a survey of 1,554 researchers, presents a model of how researchers in natural sciences and engineering transfer knowledge outside the academic community Two determinants found to be consistently influential: linkages between researchers and research users, and focus of the research projects on end user needs. Other determinants influencing knowledge transfer varied from one research field to another |
Baumbusch [ ] 2008 Describe a participatory approach to knowledge translation developed during a program of research concerning equitable care for diverse populations | Two dimensions process (translation) and content (knowledge): Process (translation involving: credible messengers, accountability, reciprocity, respect, and research champions) Content (ongoing cycle of data collection, analysis and synthesis of knowledge) | Jacobson Lavis | A collaborative model of knowledge translation between researchers and practitioners in clinical settings-derived from a non systematic review of literature and from experiences drawn from a programme of research funded by the Canadian Institutes of Health Research. Authors state at the core of the approach is a collaborative relationship between researchers and practitioners, which underpins the knowledge translation cycle, and occurs simultaneously with data collection/analysis/synthesis |
Feldstein [ ] 2008 To provide a new tool for researchers and healthcare decision makers that integrates existing concepts relevant to translating research into practice. | Program or intervention (consideration of elements from the perspective of the organization and staff to be targeted) External environment (consideration of) Implementation and sustainability infrastructure necessary for success (consideration of) Recipients (Characteristics of both organisational and patient recipients of interventions need to be considered to maximize intervention effectiveness) | States that aspects of the model derived from diffusion of innovations, social ecology, the PRECEDE/PROCEED model, and the quality improvement/implementation literature. Impact measures derived from RE-AIM Jacobson Lavis | Practical, Robust Implementation and Sustainability Model (PRISM) considers how the program or intervention design, the external environment, the implementation and sustainability infrastructure, and the recipients influence program adoption, implementation, and maintenance. Designed to help researchers (and organisations) conceptualize, implement, and evaluate healthcare improvement programs. |
Clinton [ ] 2009 To present a knowledge transfer model and illustrate how its use can lead to competitive advantage | Comprehensive employee skills assessment Identify the type of knowledge to be transferred (tacit or explicit) Select appropriate media required for knowledge transfer Appropriate generation of corporate university (defined as a strategic commitment to organisational learning and development of intellectual capital) | None | The authors propose that the type of knowledge to be transferred and the appropriate media to transfer that knowledge, determine the education and training needs required to achieve competitive advantage |
Mitchell [ ] 2009 To identify dimensions that could be used to describe and differentiate models of partnerships, and illustrate how these dimensions could be applied using three recent case studies in Australia. | Decision maker involvement in research versus researcher involvement in decision making Investigator versus decision maker driven research Value of decision maker involvement at various stages of the research process. Discrete projects versus programs versus ongoing reciprocity Formal versus informal linkages Active versus passive involvement Concentrated and specific versus diffuse and heterogeneous linkages | Greenhalgh Lavis | Dimensions derived from a brief narrative review of the partnership literature within health services research and on a selection of theoretical and conceptual references from other fields, particularly organization science. Authors argue building capacity for knowledge exchange demands an evidence-base of its own. They suggest their seven dimensions of partnerships provide a basis for research examining the usefulness of particular partnership models and their applicability and effectiveness in different contexts |
Ward [ , ] 2009 Reviews knowledge transfer frameworks to gain a better understanding of the processes involved in knowledge transfer and presents a five domain model of the knowledge transfer processes to help researchers, practitioners and decision makers plan and evaluate initiatives for transferring knowledge into action | Problem: Identifying and communicating about the problem which the knowledge needs to address Context: Analysing the context which surrounds the producers and users of knowledge Knowledge: Developing and selecting the knowledge to be transferred Intervention: Selecting specific knowledge transfer activities or Interventions Use: Considering how the knowledge will be used in practice | Practical framework developed from on commonalities from 28 published models including the Diffusion of Innovations Dobbins Greenhalgh Jacobson Lavis | Authors emphasise that knowledge transfer is an interactive, multidirectional rather than linear process Report outlines a series of domain specific questions for research users and producers to use to think about and incorporate knowledge transfer processes in to their routine practice. |
Only two of the included knowledge translation frameworks were judged to encompass four of McGuire's five variables for persuasive communications [ 45 , 47 ]. One framework [ 45 ] explicitly attributes these variables as being derived from Winkler et al [ 11 ]. The other [ 47 ] refers to strong direct evidence but does not refer to McGuire or any of the other included frameworks.
Diffusion of Innovations theory [ 40 , 41 ] is explicitly cited in eight of the included knowledge translation frameworks [ 13 , 45 - 49 , 52 , 56 ]. Of these, two represent attempts to operationalise and apply the theory, one in the context of evidence-based decision making and practice [ 13 ], and the other to examine how innovations in organisation and delivery of health services spread and are sustained in health service organisations [ 47 , 57 ]. The other frameworks are exclusively based on the theory and are focussed instead on strategies to accelerate the uptake of evidence-based knowledge and or interventions
Two of the included knowledge translation frameworks [ 50 , 53 ] are explicitly based on resource or knowledge-based Theory of the Firm [ 58 , 59 ]. Both frameworks propose that successful knowledge transfer (or competitive advantage) is determined by the type of knowledge to be transferred as well as by the development and deployment of appropriate skills and infrastructure at an organisational level.
Two of the included knowledge translation frameworks purport to be based upon a range of theoretical perspectives. The Coordinated Implementation model is derived from a range of sources, including theories of social influence on attitude change, the Diffusion of Innovations, adult learning, and social marketing [ 45 ]. The Practical, Robust Implementation and Sustainability Model was developed using concepts from Diffusion of Innovations, social ecology, as well as the health promotion, quality improvement, and implementation literature [ 52 ].
Three other distinct knowledge translation frameworks were included, all of which are based on a combination of literature reviews and researcher experience [ 44 , 51 , 54 ].
Of the websites of the 10 UK funders of health services and public health research, only the ESRC made a dissemination framework available to grant applicants or holders (see Table Table1) 1 ) [ 26 ]. A summary version of another included framework is available via the publications section of the Joseph Rowntree Foundation [ 60 ]. However, no reference is made to it in the submission guidance they make available to research applicants.
All of the UK funding bodies made brief references to dissemination in their research grant application guides. These would simply ask applicants to briefly indicate how findings arising from the research will be disseminated (often stating that this should be other than via publication in peer-reviewed journals) so as to promote or facilitate take up by users in the health services.
This systematic scoping review presents to our knowledge the most comprehensive overview of conceptual/organising frameworks relating to research dissemination. Thirty-three frameworks met our inclusion criteria, 20 of which were designed to be used by researchers to guide their dissemination activities. Twenty-eight included frameworks that were underpinned at least in part by one or more of three different theoretical approaches, namely persuasive communication, diffusion of innovations theory, and social marketing.
Our search strategy was deliberately broad, and we searched a number of relevant databases and other sources with no language or publication status restrictions, reducing the chance that some relevant studies were excluded from the review and of publication or language bias. However, we restricted our searches to health and social science databases, and it is possible that searches targeting for example the management or marketing literature may have revealed additional frameworks. In addition, this review was undertaken as part of a project assessing UK research dissemination, so our search for frameworks provided by funding agencies was limited to the UK. It is possible that searches of funders operating in other geographical jurisdictions may have identified other studies. We are also aware that the way in which we have defined the process of dissemination and our judgements as to what constitutes sufficient detail may have resulted in some frameworks being excluded that others may have included or vice versa. Given this, and as an aid to transparency, we have included the list of excluded papers as Additional File 2 , Appendix 2 so as to allow readers to assess our, and make their own, judgements on the literature identified.
Despite these potential limitations, in this review we have identified 33 frameworks that are available and could be used to help guide dissemination planning and activity. By way of contrast, a recent systematic review of the knowledge transfer and exchange literature (with broader aims and scope) [ 61 ] identified five organising frameworks developed to guide knowledge transfer and exchange initiatives (defined as involving more than one way communications and involving genuine interaction between researchers and target audiences) [ 13 - 15 , 62 , 63 ]. All were identified by our searches, but only three met our specific inclusion criteria of providing sufficient dissemination process detail [ 13 - 15 ]. One reviewed methods for assessment of research utilisation in policy making [ 62 ], whilst the other reviewed knowledge mapping as a tool for understanding the many knowledge creation and translation resources and processes in a health system [ 63 ].
There is a large amount of theoretical convergence among the identified frameworks. This all the more striking given the wide range of theoretical approaches that could be applied in the context of research dissemination [ 64 ], and the relative lack of cross-referencing between the included frameworks. Three distinct but interlinked theories appear to underpin (at least in part) 28 of the included frameworks. There has been some criticism of health communications that are overly reliant on linear messenger-receiver models and do not draw upon other aspects of communication theory [ 65 ]. Although researcher focused, the included frameworks appear more participatory than simple messenger-receiver models, and there is recognition of the importance of context and emphasis on the key to successful dissemination being dependent on the need for interaction with the end user.
As we highlight in the introduction, there is recognition among international funders both of the importance of and their role in the dissemination of research [ 9 ]. Given the current political emphasis on reducing deficiencies in the uptake of knowledge about the effects of interventions into routine practice, funders could be making and advocating more systematic use of conceptual frameworks in the planning of research dissemination.
Rather than asking applicants to briefly indicate how findings arising from their proposed research will be disseminated (as seems to be the case in the UK), funding agencies could consider encouraging grant applicants to adopt a theoretically-informed approach to their research dissemination. Such an approach could be made a conditional part of any grant application process; an organising framework such as those described in this review could be used to demonstrate the rationale and understanding underpinning their proposed plans for dissemination. More systematic use of conceptual frameworks would then provide opportunities to evaluate across a range of study designs whether utilising any of the identified frameworks to guide research dissemination does in fact enhance the uptake of research findings in policy and practice.
There are currently a number of theoretically-informed frameworks available to researchers that could be used to help guide their dissemination planning and activity. Given the current emphasis on enhancing the uptake of knowledge about the effects of interventions into routine practice, funders could consider encouraging researchers to adopt a theoretically informed approach to their research dissemination.
Paul Wilson is an Associate Editor of Implementation Science. All decisions on this manuscript were made by another senior editor. Paul Wilson works for, and has contributed to the development of the CRD framework which is included in this review. The author(s) declare that they have no other competing interests.
All authors contributed to the conception, design, and analysis of the review. All authors were involved in the writing of the first and all subsequent versions of the paper. All authors read and approved the final manuscript. Paul Wilson is the guarantor.
Appendix 1: Database search strategies . This file includes details of the database specific search strategies used in the review.
Appendix 2: Full-text papers assessed for eligibility but excluded from the review . This file includes details of full-text papers assessed for eligibility but excluded from the review.
This review was undertaken as part of a wider project funded by the MRC Population Health Sciences Research Network (Ref: PHSRN 11). The views expressed in this paper are those of the authors alone.
April 23, 2023 2023-04-23
A shared vocabulary and understanding of data, findings, and insights will enable you to communicate where you are relative to where you need to be in your research analysis.
Data are simply a collection of data points which lack significance individually. As soon as researchers start to do any level of analysis on these data points, we have information. The type of information we have depends on the level of analysis completed. The first level of analysis yields findings, which are patterns among a specific set of data points that still lack critical context. The final level of analysis yields insights, which explain observed patterns and identify actionable opportunities. Insights are what researchers should strive to create.
Raw data lacks context, findings = what happened, not why, insights = opportunities to the business, how to mitigate bias in insights.
Definition: Data refers to an unanalyzed collection of observations about users that may include transcripts, notes, metrics, or survey output.
Data is comprised of single-observation points, otherwise known as data points. The data points are anything that gets captured — for example, user quotes or clicks in a user-testing session. There is no analysis or synthesis that happens at this stage, so no conclusions can be drawn.
Take, for instance, capturing data from a survey. The answers selected by participants would be the data points. If one question in the survey asked participants how likely they are to recommend the system to someone else , a single data point would represent the single response from a respondent for that question. The data would represent the collective responses from all respondents for all questions in the survey.
Data can be quantitative or qualitative. User quotes or behaviors are qualitative data. But task time, success , analytics metrics , or responses to certain survey questions like the net- promoter–score (NPS) question above are quantitative.
Definition: Findings describe patterns in collected data or summaries across it. They lack consideration of background, past research, and organizational factors.
To come up with findings, researchers take the many distinct data points they collected and examine them for patterns. For qualitative data , they rely on thematic-analysis techniques. Quantitative data is analyzed through statistics.
To extract findings, we look across everything captured, but we can look for patterns only across comparable things. In the survey example above, we could look at all the answers to the NPS question and find that the NPS score is 40, with a margin of error of 10. This is a summary of several data points, so it is a finding. However, there is no context that tells us details, such as whether this score is good and the reason behind this score. Thus, findings are not that useful by themselves.
Context is required to be able to interpret a finding. With findings alone, researchers are not able to determine why a pattern was observed or to make recommendations that are right for users and the business.
Definition: Insights are focused explanations of opportunities, based on other user research and business context.
While findings describe what is observed in the scope of a particular study or time frame of a live product, insights tie specific opportunities to specific user needs and they relate to valuable business objectives. Interpreting findings in context yields insights.
In the case of the NPS question above, consider these additional three pieces of context:
Given this context, here is a potential insight:
Even though the NPS score increased, this difference was not statistically significant compared with the NPS for the older design. (If you were to plot confidence intervals for the two metrics, you would see that the one for the original NPS includes the one for the NPS of the redesign). Users struggled to understand the terminology used on the site and had a hard time identifying the correct specialist for their condition. The recommendation is to use plain language to align with users’ existent mental models.
This insight marries the finding around the NPS score with a usability finding that adds important context and highlights a clear opportunity connected to one of the organization’s goals.
Researchers should strategically use insights as a tool to connect their research to recommendations and opportunities. Insights are not meant to be prescriptive; rather, they narrow design possibilities, which can then be tested to find the best one. There are an infinitely many number of design possibilities for any problem, so some initial direction is highly beneficial for efficiency.
Given that the researcher designs the study, facilitates it, analyzes it, and interprets the data, there is inevitably some bias inherent to an insight. The threat posed by bias can be mitigated through the process of triangulation, which means relying on multiple sources of data, multiple approaches to analyzing the data, and multiple researchers doing the analysis, to reduce the chance that one particular researcher’s bias results in a faulty assessment.
Concerns around lack of scientific statistical significance and validity are common, but practically speaking, it is wise to make some recommendation that could have a positive business impact, rather than making no recommendation at all.
Data, findings, and insights are the language we use to communicate significantly different degrees of research analysis that your team as completed. For example, if you are currently working with findings, then you need to develop your analysis further to insights, because you can’t make decisions without understanding context.
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Introduction: Research is a systematic and structured investigation that seeks to expand knowledge, uncover new insights, and provide evidence-based understanding in various fields. It is vital in advancing human understanding, addressing complex problems, and driving innovation. Research encompasses a wide range of methodologies, including empirical studies, experiments, surveys, and theoretical analyses, conducted by researchers across academic, scientific, and professional domains. New discoveries are made through research, theories are developed and tested, and practical solutions are generated. The impact of research is far-reaching, influencing advancements in technology, healthcare, social sciences, environmental conservation, and more. It drives progress, informs policy decisions, and shapes the future by providing a solid foundation of reliable and verified knowledge. The importance of research cannot be overstated, as it drives human knowledge forward and fosters societal development and improvement. Types of Research
The primary objective of the research is to contribute to the existing body of knowledge by uncovering new insights, validating existing theories, or challenging prevailing assumptions. It is driven by the pursuit of truth, accuracy, and evidence-based understanding.
Research can take various forms, depending on the discipline and the nature of the inquiry. It can be empirical, involving the collection and analysis of data through experiments, surveys, observations, or interviews. It can also be theoretical, involving the critical analysis of existing literature and concepts to develop new frameworks or models.
The research process is characterized by systematic and organized steps. It begins with identifying a research problem or topic of interest, followed by an extensive literature review to understand the existing knowledge and identify gaps. Research questions or hypotheses are formulated, and a research design is developed to guide data collection and analysis.
Data collection methods can vary widely, ranging from quantitative approaches such as surveys or experiments to qualitative approaches such as interviews or case studies. Researchers analyze the collected data using appropriate statistical or qualitative analysis techniques to draw meaningful conclusions.
One of the key aspects of research is its emphasis on objectivity and rigor. Researchers strive to minimize bias, ensure the reliability and validity of findings, and maintain ethical standards in their research practices.
The impact of research extends far beyond the academic realm. Research findings inform decision-making processes in various sectors, including healthcare, policy development, business strategies, environmental conservation, and social sciences. It drives technological advancements, fosters innovation, and provides the foundation for evidence-based practices.
Furthermore, research is an iterative process, with new studies building upon and refining existing knowledge. It is a collaborative endeavor, often involving interdisciplinary collaborations and the exchange of ideas among researchers worldwide.
Research is a systematic and organized investigation conducted to expand knowledge, gain a deeper understanding, and generate new insights in a specific field. It involves rigorous and organized data collection, analysis, and interpretation to address research questions or hypotheses. The pursuit of new information drives research, the validation of existing theories, or the exploration of new perspectives. It employs various methodologies to gather and analyze data, including empirical studies, experiments, surveys, interviews, or theoretical analyses. The ultimate goal of the research is to contribute to the existing body of knowledge, advance understanding, and inform decision-making processes across academic, scientific, and professional domains.
Kasi (2009) 1 defines “Research is, therefore, a method for investigating and collecting information aimed at the discovery of new facts or interpretation of existing information, to discover or revise facts, theories, and applications.”
Research is stated by Gina Wisker 1 as “Research is about asking and beginning to answer questions, seeking knowledge and understanding of the world and its processes, and testing assumptions and beliefs.”
Redman and Mory define research as a “systematized effort to gain new knowledge.” 2
Burns (1997) defines research as “a systematic investigation to find answers to a problem.” 2
“The word research is composed of two syllables, re and search. The dictionary defines the former as a prefix meaning again, anew, or over again and the latter as a verb meaning to examine closely and carefully, to test and try, or to probe. Together, they form a noun describing a careful, systematic, patient study and investigation in some field of knowledge undertaken to establish facts or principles.” (Grinnell 1993) 2
The research objectives can vary depending on the specific field of study, the nature of the research, and the researcher’s goals. However, some common purposes of the research include:
C.R. Kothari, a renowned Indian researcher and author, has proposed several types of research in his book Research Methodology: Methods and Techniques . According to Kothari, research can be categorized into the following types:
The significance of research cannot be overstated, as it serves as the cornerstone of progress and development in various fields. Whether in science, technology, social sciences, or humanities, research is vital in advancing knowledge, addressing problems, and shaping society.
One of the primary significances of research is its ability to expand our understanding and knowledge base. Through rigorous investigation, research uncovers new information, theories, and insights that contribute to the existing body of knowledge. It allows us to delve deeper into complex phenomena, explore uncharted territories, and uncover hidden connections. This expansion of knowledge forms the basis for innovation, development, and the evolution of society.
Research also serves as a powerful tool for problem-solving. It enables us to identify and address pressing issues, whether they are in healthcare, education, economics, or any other field. By systematically examining problems, collecting and analyzing relevant data, and developing evidence-based solutions, research provides the means to overcome challenges and improve existing practices. It empowers us to make informed decisions, develop effective strategies, and allocate resources wisely.
Furthermore, research plays a critical role in informing decision-making processes. Policymakers, business leaders, and organizations rely on research findings to guide their choices, shape policies, and plan for the future. Research provides reliable and credible information, allowing decision-makers to navigate complex issues more confidently and accurately. It serves as a bridge between theory and practice, translating abstract concepts into tangible outcomes that benefit society.
Innovation and improvement are other significant outcomes of research. Research drives innovation by exploring new ideas, pushing boundaries, and challenging established norms. It leads to the developing of new technologies, products, and services that improve our quality of life. Research also fosters improvements in existing practices and processes by identifying inefficiencies, gaps, and areas for enhancement. Through research, we continuously strive to find better, more efficient ways of doing things.
Research has a profound impact on society as a whole. It addresses social issues, informs public policies, and promotes positive social change. Research provides evidence-based solutions that address societal challenges, from healthcare interventions to educational reforms. It influences public opinion, shapes cultural norms, and contributes to communities’ well-being and progress.
Moreover, research plays a crucial role in validating and challenging existing knowledge. It provides empirical evidence that supports or challenges established theories and concepts. Through rigorous scrutiny and critical analysis, research ensures that knowledge constantly evolves, grows, and adapts to new information. It encourages intellectual discourse, promotes healthy skepticism, and encourages a culture of lifelong learning.
References:
What is citation, what is scholarly communication, literature review, patent: an overview, thesaurus construction and its role in indexing, what are bibliometrics.
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Quick answers, related terms.
The purpose of the discussion section is to interpret and describe the significance of your findings in relation to what was already known about the research problem being investigated and to explain any new understanding or insights that emerged as a result of your research. The discussion will always connect to the introduction by way of the research questions or hypotheses you posed and the literature you reviewed, but the discussion does not simply repeat or rearrange the first parts of your paper; the discussion clearly explains how your study advanced the reader's understanding of the research problem from where you left them at the end of your review of prior research.
Annesley, Thomas M. “The Discussion Section: Your Closing Argument.” Clinical Chemistry 56 (November 2010): 1671-1674; Peacock, Matthew. “Communicative Moves in the Discussion Section of Research Articles.” System 30 (December 2002): 479-497.
The discussion section is often considered the most important part of your research paper because it:
Annesley Thomas M. “The Discussion Section: Your Closing Argument.” Clinical Chemistry 56 (November 2010): 1671-1674; Bitchener, John and Helen Basturkmen. “Perceptions of the Difficulties of Postgraduate L2 Thesis Students Writing the Discussion Section.” Journal of English for Academic Purposes 5 (January 2006): 4-18; Kretchmer, Paul. Fourteen Steps to Writing an Effective Discussion Section. San Francisco Edit, 2003-2008.
I. General Rules
These are the general rules you should adopt when composing your discussion of the results :
II. The Content
The content of the discussion section of your paper most often includes :
III. Organization and Structure
Keep the following sequential points in mind as you organize and write the discussion section of your paper:
IV. Overall Objectives
The objectives of your discussion section should include the following: I. Reiterate the Research Problem/State the Major Findings
Briefly reiterate the research problem or problems you are investigating and the methods you used to investigate them, then move quickly to describe the major findings of the study. You should write a direct, declarative, and succinct proclamation of the study results, usually in one paragraph.
II. Explain the Meaning of the Findings and Why They are Important
No one has thought as long and hard about your study as you have. Systematically explain the underlying meaning of your findings and state why you believe they are significant. After reading the discussion section, you want the reader to think critically about the results and why they are important. You don’t want to force the reader to go through the paper multiple times to figure out what it all means. If applicable, begin this part of the section by repeating what you consider to be your most significant or unanticipated finding first, then systematically review each finding. Otherwise, follow the general order you reported the findings presented in the results section.
III. Relate the Findings to Similar Studies
No study in the social sciences is so novel or possesses such a restricted focus that it has absolutely no relation to previously published research. The discussion section should relate your results to those found in other studies, particularly if questions raised from prior studies served as the motivation for your research. This is important because comparing and contrasting the findings of other studies helps to support the overall importance of your results and it highlights how and in what ways your study differs from other research about the topic. Note that any significant or unanticipated finding is often because there was no prior research to indicate the finding could occur. If there is prior research to indicate this, you need to explain why it was significant or unanticipated. IV. Consider Alternative Explanations of the Findings
It is important to remember that the purpose of research in the social sciences is to discover and not to prove . When writing the discussion section, you should carefully consider all possible explanations for the study results, rather than just those that fit your hypothesis or prior assumptions and biases. This is especially important when describing the discovery of significant or unanticipated findings.
V. Acknowledge the Study’s Limitations
It is far better for you to identify and acknowledge your study’s limitations than to have them pointed out by your professor! Note any unanswered questions or issues your study could not address and describe the generalizability of your results to other situations. If a limitation is applicable to the method chosen to gather information, then describe in detail the problems you encountered and why. VI. Make Suggestions for Further Research
You may choose to conclude the discussion section by making suggestions for further research [as opposed to offering suggestions in the conclusion of your paper]. Although your study can offer important insights about the research problem, this is where you can address other questions related to the problem that remain unanswered or highlight hidden issues that were revealed as a result of conducting your research. You should frame your suggestions by linking the need for further research to the limitations of your study [e.g., in future studies, the survey instrument should include more questions that ask..."] or linking to critical issues revealed from the data that were not considered initially in your research.
NOTE: Besides the literature review section, the preponderance of references to sources is usually found in the discussion section . A few historical references may be helpful for perspective, but most of the references should be relatively recent and included to aid in the interpretation of your results, to support the significance of a finding, and/or to place a finding within a particular context. If a study that you cited does not support your findings, don't ignore it--clearly explain why your research findings differ from theirs.
V. Problems to Avoid
Analyzing vs. Summarizing. Department of English Writing Guide. George Mason University; Discussion. The Structure, Format, Content, and Style of a Journal-Style Scientific Paper. Department of Biology. Bates College; Hess, Dean R. "How to Write an Effective Discussion." Respiratory Care 49 (October 2004); Kretchmer, Paul. Fourteen Steps to Writing to Writing an Effective Discussion Section. San Francisco Edit, 2003-2008; The Lab Report. University College Writing Centre. University of Toronto; Sauaia, A. et al. "The Anatomy of an Article: The Discussion Section: "How Does the Article I Read Today Change What I Will Recommend to my Patients Tomorrow?” The Journal of Trauma and Acute Care Surgery 74 (June 2013): 1599-1602; Research Limitations & Future Research . Lund Research Ltd., 2012; Summary: Using it Wisely. The Writing Center. University of North Carolina; Schafer, Mickey S. Writing the Discussion. Writing in Psychology course syllabus. University of Florida; Yellin, Linda L. A Sociology Writer's Guide . Boston, MA: Allyn and Bacon, 2009.
Don’t Over-Interpret the Results!
Interpretation is a subjective exercise. As such, you should always approach the selection and interpretation of your findings introspectively and to think critically about the possibility of judgmental biases unintentionally entering into discussions about the significance of your work. With this in mind, be careful that you do not read more into the findings than can be supported by the evidence you have gathered. Remember that the data are the data: nothing more, nothing less.
MacCoun, Robert J. "Biases in the Interpretation and Use of Research Results." Annual Review of Psychology 49 (February 1998): 259-287; Ward, Paulet al, editors. The Oxford Handbook of Expertise . Oxford, UK: Oxford University Press, 2018.
Don't Write Two Results Sections!
One of the most common mistakes that you can make when discussing the results of your study is to present a superficial interpretation of the findings that more or less re-states the results section of your paper. Obviously, you must refer to your results when discussing them, but focus on the interpretation of those results and their significance in relation to the research problem, not the data itself.
Azar, Beth. "Discussing Your Findings." American Psychological Association gradPSYCH Magazine (January 2006).
Avoid Unwarranted Speculation!
The discussion section should remain focused on the findings of your study. For example, if the purpose of your research was to measure the impact of foreign aid on increasing access to education among disadvantaged children in Bangladesh, it would not be appropriate to speculate about how your findings might apply to populations in other countries without drawing from existing studies to support your claim or if analysis of other countries was not a part of your original research design. If you feel compelled to speculate, do so in the form of describing possible implications or explaining possible impacts. Be certain that you clearly identify your comments as speculation or as a suggestion for where further research is needed. Sometimes your professor will encourage you to expand your discussion of the results in this way, while others don’t care what your opinion is beyond your effort to interpret the data in relation to the research problem.
This guidance is for researchers new to public involvement in research and just starting to consider how best to involve members of the public in their work. It will also be of interest to researchers with experience of public involvement in research who are looking to update and refresh their knowledge and skills. And it will be helpful to others interested in public involvement in research, including involvement leads. This guidance explains the different ways that members of the public are involved in research. It will help you to plan, resource and support public involvement in research. You can find more involvement resources and guidance on Learning for Involvement .
Definitions of involvement, engagement and participation.
Researchers and others use a variety of words to describe ways of interacting with the public. The terms involvement, engagement and participation are sometimes used interchangeably but the NIHR ascribes specific meanings to these terms as follows:
NIHR defines public involvement in research as research being carried out ‘with’ or ‘by’ members of the public rather than ‘to’, ‘about’ or ‘for’ them. It is an active partnership between patients, carers and members of the public with researchers that influences and shapes research. When using the term ‘public’ we include patients, potential patients, carers and people who use health and social care services as well as people from specific communities and from organisations that represent people who use services. Also included are people with lived experience of one or more health conditions, whether they’re current patients or not. Here are examples of how members of the public might get involved in research:
Public involvement as defined here is also sometimes referred to as Patient and Public Involvement (PPI). More information about approaches to public involvement can be found in section seven.
Where information and knowledge about research is provided and disseminated. Examples of engagement are:
Find out more about engagement through the National Coordinating Centre for Public Engagement.
Find out more about how members of the public participate in NIHR research on Be Part of Research. These different activities – involvement, engagement and participation – are often linked and, although they are distinct, they can complement each other.
Public involvement can improve the quality and relevance of research, as well as serving the broader democratic principles of citizenship, accountability and transparency. For these reasons, public involvement is increasingly an expectation if not a requirement of research funders. Research teams do not always clearly articulate their rationale for public involvement. A clear rationale helps researchers be more specific about who they want to involve, and in what ways.
People who are affected by research have a right to have a say in it. Public involvement in research is an intrinsic part of citizenship, public accountability and transparency. It can also help empower people who use health and social care services, by providing the opportunity to influence research that is relevant to them.
Members of the public might have personal knowledge and experience relevant to your research topic or be able to provide a more general societal perspective. They might have lived experience of one or more health conditions or of using services. Members of the public will also bring their experiences of being part of specific communities or groups.
Involving members of the public helps ensure that research focuses on outcomes that are important to the public. It is also a good way of tailoring your research to the needs of specific communities. For example, if you are seeking research participants from a particular community, involving members of that community in shaping the study design can help improve recruitment and retention of participants by ensuring that your ways of communicating and your research methods are sensitive to the needs, customs and circumstances of the community.
Public involvement can make research more relevant for example through:
Several funding bodies, as well as research ethics committees, ask grant applicants about their plans for public involvement with an expectation that if they are not involving members of the public in the research then they need to have clear reasons for this and be able to explain them. For example, NIHR has a standard application form used by all research programmes. One of the sections on the form asks applicants to describe how they have involved the public in the design and planning of their study as well as their plans for further involvement throughout the research, including plans for evaluating impact. Applicants are also asked to provide details of the budget they have allocated for public involvement in their research. Responses to these questions will be considered by the reviewers, research panels and boards (which increasingly include members of the public) and will influence funding decisions.
The Research Ethics Service will ask about the plans for public involvement in your research if you apply for ethical approval, and it will be part of their assessment process. They expect the involvement of the public in research, as it can help ensure that research planned is ethical, relevant and acceptable from a public perspective.
Members of the public get involved in research for a variety of personal and social reasons. For some, these are linked to personal experiences of health or social care services and a desire to bring about change in the quality of care or to improve treatments either for themselves or for others with a similar condition. For others it might be a way to have a ‘voice’ and influence the processes that affect people’s lives. Some people have had difficult experiences and appreciate being able to do something positive with that experience. Others have had very good experiences, and see their involvement as an opportunity to ‘give something back’. Other people get involved to ensure the voice of their community/communities are represented in research. Well planned and resourced involvement in research can also be valuable to those involved by increasing their confidence and knowledge and helping them to develop new skills. healthtalk.org has a series of interesting videos where various members of the public talk about their reasons for getting involved in research, including helping others and medical science and also for personal benefits .
Uk standards for public involvement.
A good place to start when planning how to involve members of the public in research is the UK Standards for Public Involvement . Developed over three years by a UK-wide partnership , the Standards are a description of what good public involvement looks like. They encourage approaches and behaviours that are the hallmark of good public involvement such as flexibility, sharing and learning, and mutual respect . The Standards are for everyone doing health or social care research, and provide guidance and reassurance for practitioners working towards achieving their own best practice. The six Standards are:
Below we provide more information on each Standard. The Standards were tested by over 40 individuals, groups and organisations during a year-long pilot programme, and you can find out more about these ‘test bed’ projects and how they went about implementing the UK Standards for Public Involvement in the Implementation Stories report .
Offer public involvement opportunities that are accessible and that reach people and groups according to research needs. Research is to be informed by a diversity of public experience and insight, so that it leads to treatments and services which reflect these needs. The questions below may help you reflect on and decide if you meet the Standard:
The NIHR is committed to actively and openly supporting and promoting equality, diversity and inclusion, and this also applies to how we do public involvement . As such, this Standard is crucial for NIHR, and the research we fund.
The NIHR’s Being Inclusive in Public Involvement in Health Research guidance provides key tips for researchers and practitioners:
Find out more about EDI and accessibility:
Work together in a way that values all contributions, and that builds and sustains mutually respectful and productive relationships. Public involvement in research is better when people work together towards a common purpose, and different perspectives are respected. The questions below may help you reflect on and decide if you meet the Standard:
We offer and promote support and learning that builds confidence and skills for public involvement in research. We seek to remove practical and social barriers that stop members of the public and research professionals from making the most of public involvement in research. The questions below may help you reflect on and decide if you meet the Standard:
Different types of training might be:
Support might take the form of:
Find out more about guidance, training and support on Learning for Involvement .
Involve the public in research management, regulation, leadership and decision making. Public involvement in research governance can help research be more transparent and gain public trust. The questions below may help you reflect on and decide if you meet the Standard:
Use plain language for well-timed and relevant communications, as part of involvement plans and activities. Communicate with a wider audience about public involvement and research, using a broad range of approaches that are accessible and appealing. The questions below may help you reflect on and decide if you meet the Standard:
Be clear with the people you want to involve. It is important that both you, as a researcher, and the people you involve have a shared and clear understanding of what they are being invited to do. Explain why you are asking people to get involved, and agree the aims of the research. It can be helpful to develop a role description and/or terms of reference so people know what is expected of them, and what they can expect from you.
Seek improvement by identifying and sharing the difference that public involvement makes to research. Understand the changes, benefits and learning gained from the insights and experiences of patients, carers and the public. The questions below may help you reflect on and decide if you meet the Standard:
To achieve good quality public involvement, as set out by the UK Public Involvement Standards, it is crucial to consider how to resource public involvement both in terms of budget and the additional time required to involve the public in your research. Some research funders, such as NIHR, will actively encourage and expect public involvement to be adequately costed in research proposals. It can be challenging to obtain funding for public involvement later if it has not been built into your research grant application. Costs will differ depending on how you are involving people in your research and who you are involving. You can find in-depth information on budgeting for involvement in the NIHR’s Payment Guidance for researchers and professionals .
Ethical approval is not needed where people are involved in planning or advising on research, for example as a co-applicant on a research grant, a member of an advisory group or in developing a questionnaire. For more information, the following resources are recommended: Qualitative research and patient and public involvement in health and social care research: What are the key differences?
It is important that you liaise well in advance with the relevant departments within your organisation such as finance and human resources (HR). Explain how you plan to involve members of the public in your research. This will ensure that you are aware and informed of local arrangements for involving members of the public and any issues that finance or HR may raise about the proposed arrangements. If there are any concerns raised by these departments you will have time to address them early on. Examples of issues you might need to consider are:
We recommend that you:
Who should i involve.
In deciding who best to involve it is important to think about the knowledge and perspectives that you are looking for from members of the public, and what support you are able to give to people who you plan to involve. You might also want to consider involving carers in your research, as they provide a unique and valuable perspective. We have produced some tips to help you involve unpaid carers in your research project . Key points to consider when deciding who might be involved in research, are set out in the guidance note: Different Experiences: A framework for considering who might be involved in research guidance and include the following:
For most studies it is not appropriate for people involved in the research also to be participants in the research as that can compromise both the researcher and the person involved. The possible exceptions to this may include some participatory/action research studies where the participants of the research may also be acting as co-researchers, influencing the shape of the study as it progresses.
Involving more than one person allows you to include different people at different stages of the research, and provides them more choices in how they are involved. It will also help you to:
Consider the broad and different views and experiences you will need to include in your research. Try to ensure that you have a variety of perspectives so you get different viewpoints and allow time for those who have the skills you require for the project to network with others. You can read the Being Inclusive in Public Involvement in Health Research guidance for further information, and refer to the ‘inclusive opportunities’ Standard for public involvement .
Once you have considered who you would like to involve, you then need to think about how to make contact with them. Speak with colleagues and members of the public and ask for their views on how to find the people you want to involve. Allow time to make contact with organisations and individuals as finding people will nearly always take longer than you think. Rather than inviting people in to talk to you, go out and engage with communities or groups where they already meet, whether that be in physical spaces or online forums. Others have contacted people by:
for specific communities, getting in touch with relevant community groups, community and faith leaders, or other individuals who can help you engage with specific groups of people
Spend time developing networks and building relationships. This might involve visiting organisations to hear about what they do and talking to them about your research. Many researchers develop long term relationships with organisations and individuals who continue for many years past the involvement in the first research project. Be aware that some people or organisations might choose not to get involved in your work. This might be for a variety of reasons but it might be because their aims do not match yours, they do not have the time, or because the practical costs of either getting involved or finding somebody to get involved in your work is too great. Some organisations charge when they are asked to find people to get involved in research activities. Find out more about how to find people to involve:
We use the terms consultation, collaboration, co-production and user-controlled describe different broad approaches to involving people in research, associated with progressively increasing levels of power and influence for members of the public. In practice, research projects can include a combination of these four and boundaries between them are not clear cut. Moreover, each approach encompasses a range of specific methods for involving people. For example, you might work with one or two service users or carers as collaborators throughout a research project, as well as consulting with a wider group of service users on a specific aspect of the study, while some members of the public might lead on one stage of the research. How you involve people will depend on the nature of your research, as well as the different activities people decide they would like to get involved in. If it is the first time that you have involved people in research consider where public involvement will be most effective in your research. This might be in a relatively modest way at first, perhaps in just one activity or at one stage of the project. Build on the skills and experience you develop in future projects
Consultation is when you ask members of the public for their views and use these views to inform your decision making. Consultation can be about any aspect of the research process – from identifying topics for research through to thinking about the implications of research findings. You might, for example, hold one-off meetings to ask people’s views on the importance of a study and areas that it is important to measure within the study. Research funders may consult members of the public by asking for their views on research grant applications. If this is the first time you have involved people in your research, it can be a good starting point. It can also be a way of getting the views of a larger group of people. However, think carefully about what you are asking and what you will do with the information. Be clear about these aims with the people you involve. You might find that people are frustrated at being asked for their views without a commitment from you that you will act on them. There is a danger of ‘consultation fatigue’ for individuals and organisations who have been consulted before and think that their views have been ignored. If you decide to consult people on your research we recommend that you:
Benefits of consultation:
Challenges of consultation:
Working more closely with members of the public, returning to ask them for further information, and developing an ongoing relationship with them, will take you towards collaboration.
Collaboration involves an ongoing partnership between you and the members of the public you are working with, where decisions about the research are shared. For example, members of the public might collaborate with the researchers on developing the research grant application, be members of the study advisory group and collaborate with researchers to disseminate the results of a research project. This is a broad approach that can be used in a wide range of different research activities and at many different stages of the research project. Collaboration requires commitment, openness and flexibility and it is important to plan and prepare adequately (see briefing note five on planning and preparation). Benefits of collaboration:
Challenges to collaboration:
Co-producing a research project is an approach in which researchers, practitioners and the public work together, sharing power and responsibility from the start to the end of the project, including the generation of knowledge. The assumption is that those for whom the research is most relevant are best placed to design and deliver it in partnership with the professionals, and have skills, knowledge and experience of equal importance. There is an overlap with the collaboration approach but what defines co-production is the values and principles that underpin it, rather than any specific tools or techniques. Indeed, there is no single formula or method for co-production and such an approach would be counter to the innovation and flexibility that is implicit in co-produced research. Rather, co-production requires that relationships are valued and nurtured, that efforts are made to redress power differentials, and that people are supported and enabled to realise their potential in carrying out their roles and responsibilities in the project. Co-producing research can include partnerships between academia and organisations representing the public as well as individual public members working with organisations, for example universities, which undertake research. The NIHR’s Guidance on co-producing a research project describes key principles and features of co-production. These are summarised below: Key principles:
Key features:
The NIHR’s Guidance on co-producing a research project also presents some challenges that need to be addressed to enable more opportunities for co-producing research. These challenges touch on the topics of power (and power sharing), flexibility in research approaches and practices, the need for more guidance on co-production, and how to assess and evaluate co-produced research. Find out more about co-production:
User controlled research is research that is actively controlled, directed and managed by service users and their service user organisations. Service users decide on the issues and questions to be looked at, as well as the way the research is designed, planned, written up and disseminated. The service users will run the research advisory or steering group and may also decide to carry out the research. Some service users make no distinction between the terms user controlled and user led, others feel that user led has a different, vaguer meaning. They see user led research as research which is meant to be led and shaped by service users but is not necessarily controlled or undertaken by them. Control in user led research in this case will rest with some other group of non-service users who also have an interest in the research, such as the commissioners of the research, the researchers or people who provide services. Examples of user-controlled research in action have highlighted several key reasons why user-controlled research is important for service users:
As a researcher, you might get involved in user controlled research in several ways such as:
Regardless of the approach you take, involving members of the public is likely to entail organising and hosting meetings. How you do this can make a huge difference to how people feel about the research and how much they are able and want to get involved in your work. Holding a meeting is only one of the ways to involve people and you may decide that this is not the best approach for your research. If you do choose meetings, you need to consider whether face-to-face, online, or a combination of the two work best for your research project, and your public contributors.
The NIHR School for Primary Care Research (SPCR) has developed useful guidance on how to hold a PPI meeting using virtual tools , which details these key tips and tricks:
There is a wide range of guidance on good practice for online meetings for involvement. Here are some of the ones we think might be most useful:
Members of the public are getting involved in a whole range of research activities. These include helping to develop the research question, applying for funding and ethical approval, sitting on advisory groups, carrying out the research and disseminating the research findings. This section considers the different ways members of the public can get involved in the stages of the research cycle. When reading through this section, keep in mind the six UK Standards for Public Involvement : inclusive opportunities; working together; support and learning; governance; communications; impact.
Involving the public in helping to identify and prioritise research questions is a powerful way of ensuring that your research priorities are aligned with those of people who have a personal stake in the subject, for example if they have the condition you are researching or use relevant services. Depending on the type of funding call you are applying for, topics might have already been decided by the research funder or commissioner. Members of the public might have been involved in the identification and prioritisation of the topics by the research funding organisation. People with lived experience - and the organisations that represent - researchers and health and care practitioners will all have distinct, though often overlapping research priorities. By working together you can develop a shared agenda. An active partnership will enable you to learn from each other and agree on the research questions together, and the final topic will be a shared decision between the group. Consider recording how the research questions were developed and the different influences on the questions at the beginning of the project. Researchers and research organisations use a range of different ways to work with the public to identify and prioritise research. These include:
Sometimes it is difficult for people who are unfamiliar with research to identify research questions. It may help to first discuss problems that people experience living with their condition/s, or using treatments or services, before discussing how these might be turned into research questions.
In several areas of research including cancer, arthritis and mental health the research topics and priorities of people with these conditions have been explored and published. Find out if research has been carried out to identify the topics most relevant to patients or service users in your area of work to enable you to identify relevant research topics. The James Lind Alliance , funded by the NIHR, facilitates Priority Setting Partnerships. These partnerships bring patients, carers and health and care practitioners together to identify and prioritise the care and treatment uncertainties which they agree are the most important for research. It’s not too late to involve people if you have already identified a research topic – you can still involve the public by asking them if the topic is relevant to them. Most researchers or research organisations have a range of topics or areas that they would like to research. Members of the public can work with individual researchers, research teams or organisations to decide which topics to focus on first. Listen, respond and talk through with them how their ideas can be included in your research questions.
Many funding organisations now involve members of the public in commissioning research. For example the NIHR recruits and supports patients, carers and members of the public to give feedback on health and social care research funding applications . This gives a broader perspective to the review process, by considering the issues that are important from a public and patient perspective. Involvement in commissioning can be done in a variety of ways, including:
Involving members of the public in the design of research helps to ensure that the research is relevant to the needs of people and that the research questions and outcomes are clear. It strengthens the ethical basis of the research, and can help improve the recruitment and retention of volunteer participants in the study. Public involvement in the design stage of the research can:
Be clear with the people you are involving about the fact that the funding process can be lengthy and that the research may not get funded.
It can be challenging to obtain funding to support public involvement prior to your grant application being successful. Speak to your organisation or university to see if they have any funding for public involvement. It’s not too late to involve people if you have already developed your research grant application. You can still involve members of the public by:
One of the main ways that members of the public get involved in managing research is through membership of a study steering group or management committee. Increasingly members of the public are taking a more active role in research as collaborators or in some cases as the principal investigators in studies. In these circumstances they will often be employed as a member of the research team. Involving members of the public in managing research can help to ensure that:
Find out more about public involvement in managing your research on the NIHR website .
Members of the public can get involved in a variety of roles in carrying out the research such as:
Members of the public can help look at different types of evidence and interpret the literature from a public perspective.
If you are going to involve members of the public as peer interviewers (people who have direct experience of the topic being researched and who carry out interviews with other members of the public) or in running focus groups, we suggest you consider:
Involving members of the public in analysing and interpreting research findings can:
You might involve the members of the public who have been working with you on the research project to analyse and interpret the research findings. Alternatively you could hold a small event to find out the views of a wider audience.
Members of the public involved in your research will want to ensure that the findings are widely disseminated so they can influence and change practice for the better. It has been found that involving people at the dissemination stage is more successful if they have also been involved at the earlier stages of the research as they then benefit from a sense of ownership of the research and an understanding of the context and background. This means they will be more likely to disseminate the results to their networks, to help summarise the research findings in clear user-friendly language and ensure that the information is accessible to a public audience.
To encourage and support public involvement in dissemination:
Remember to include funding for public involvement in disseminating the findings in your grant application, and consider if you will need to allocate funding for developing and printing summaries and for postage. It’s not too late – if you have reached the stage of disseminating your research, there are still options open to you for involving people:
Public involvement in your research can influence, support and add strength to the way your research is taken into practice. Public involvement in research often provides a route to effecting change and improvement in aspects of health and care practice that are of particular concern to people. Members of the public involved in research are often passionate to ensure that action happens as a result of the research and might be able to establish influential relationships with key agencies and policy makers.
From the beginning of your project think how you are going to monitor and evaluate public involvement and its impact throughout the project. Working with the people you involve, document and write up an evaluation of the public involvement in your research recording short and long term impacts. This will help you for future projects and provide valuable knowledge for other researchers looking to involve members of the public in their work. Help to build the evidence base and let others know about what worked well and what didn’t and the impact of public involvement in your research by:
Find out more about reporting evaluating impact of public involvement in your study:
In this guidance we have provided information to help you think through how best to involve people in your research. However, there will occasionally be times when things go wrong. Problems can often be sorted out by informal discussions but if you think that things are going wrong it is best to act quickly. If left unresolved, problems can get worse and affect a growing number of members of a team or organisation. Depending on what the issue is we suggest you consider some of the following:
If you are unable to resolve issues using some of the above strategies or if either you or the member of the public feel a more independent review of the situation is required then a more formal approach should be considered. It is helpful to outline in your planning and preparation the procedure for complaints and resolving differences so that the information is clearly available from the beginning. More formal procedures might be:
If you are working with people representing a non-statutory organisation, that organisation might have its own processes.
Nihr information.
Learning for Involvement allows you access training and guidance on public involvement People in Research reports live opportunities for public involvement in NHS, public health and social care research, and allows you to submit your own Read the NIHR Payment Guidance for Researchers and Professionals NIHR Research Support Service (RSS) - The RSS provides free and confidential support for researchers to apply for funding and develop and deliver clinical and applied health and care research. Access to support, advice and expertise is available for all researchers in England working across the remit of the NIHR . NIHR Clinical Research Network (CRN) - The CRN supports patients, the public and health and care organisations across England to participate in high-quality research, thereby advancing knowledge and improving care. The CRN comprises 15 Local Clinical Research Networks (LCRN) and 30 Specialties which coordinate and support the delivery of high-quality research both by geography and therapy area. National leadership and coordination is provided through the Research Delivery Network Coordinating Centre. Contact your LCRN .
NIHR, Briefing notes for researchers, April 2021, [URL], (Accessed on: [DATE])
This resource was reviewed by the NIHR in March 2021 for accuracy and currency. The NIHR endorses this resource. The previous version was referenced as: INVOLVE (2012) Briefing notes for researchers: involving the public in NHS, public health and social care research. INVOLVE, Eastleigh.
The authors of the 2012 version of the Briefing Notes for Researchers were Helen Hayes, Sarah Buckland and Maryrose Tarpey, who used to work for the INVOLVE Coordinating Centre. Additional contributors to thank for their involvement in the development of the 2012 version are: Ann Louise Caress, Alison Ford, Lesley Roberts, Carer, Kati Turner, Derek Ward, Tracey Williamson, Sarah Howlett, Lucy Simons, Philippa Yeeles, Gill Wren, Paula Davis, Sandra Paget, Doreen Tembo, Christine Vial.
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Published on July 12, 2022 by Eoghan Ryan . Revised on November 20, 2023.
Research objectives describe what your research is trying to achieve and explain why you are pursuing it. They summarize the approach and purpose of your project and help to focus your research.
Your objectives should appear in the introduction of your research paper , at the end of your problem statement . They should:
What is a research objective, why are research objectives important, how to write research aims and objectives, smart research objectives, other interesting articles, frequently asked questions about research objectives.
Research objectives describe what your research project intends to accomplish. They should guide every step of the research process , including how you collect data , build your argument , and develop your conclusions .
Your research objectives may evolve slightly as your research progresses, but they should always line up with the research carried out and the actual content of your paper.
A distinction is often made between research objectives and research aims.
A research aim typically refers to a broad statement indicating the general purpose of your research project. It should appear at the end of your problem statement, before your research objectives.
Your research objectives are more specific than your research aim and indicate the particular focus and approach of your project. Though you will only have one research aim, you will likely have several research objectives.
Research objectives are important because they:
Once you’ve established a research problem you want to address, you need to decide how you will address it. This is where your research aim and objectives come in.
Your research aim should reflect your research problem and should be relatively broad.
Break down your aim into a limited number of steps that will help you resolve your research problem. What specific aspects of the problem do you want to examine or understand?
Once you’ve established your research aim and objectives, you need to explain them clearly and concisely to the reader.
You’ll lay out your aims and objectives at the end of your problem statement, which appears in your introduction. Frame them as clear declarative statements, and use appropriate verbs to accurately characterize the work that you will carry out.
The acronym “SMART” is commonly used in relation to research objectives. It states that your objectives should be:
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Research objectives describe what you intend your research project to accomplish.
They summarize the approach and purpose of the project and help to focus your research.
Your objectives should appear in the introduction of your research paper , at the end of your problem statement .
Your research objectives indicate how you’ll try to address your research problem and should be specific:
Once you’ve decided on your research objectives , you need to explain them in your paper, at the end of your problem statement .
Keep your research objectives clear and concise, and use appropriate verbs to accurately convey the work that you will carry out for each one.
I will compare …
A research aim is a broad statement indicating the general purpose of your research project. It should appear in your introduction at the end of your problem statement , before your research objectives.
Research objectives are more specific than your research aim. They indicate the specific ways you’ll address the overarching aim.
Scope of research is determined at the beginning of your research process , prior to the data collection stage. Sometimes called “scope of study,” your scope delineates what will and will not be covered in your project. It helps you focus your work and your time, ensuring that you’ll be able to achieve your goals and outcomes.
Defining a scope can be very useful in any research project, from a research proposal to a thesis or dissertation . A scope is needed for all types of research: quantitative , qualitative , and mixed methods .
To define your scope of research, consider the following:
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Thermodynamic cost of finite-time stochastic resettingKristian stølevik olsen, deepak gupta, francesco mori, and supriya krishnamurthy, phys. rev. research 6 , 033343 – published 27 september 2024.
Recent experiments have implemented resetting by means of an external trap, whereby a system relaxes to the minimum of the trap and is reset in a finite time. In this work, we set up and analyze the thermodynamics of such a protocol. We present a general framework, valid even for non-Poissonian resetting, that captures the thermodynamic work required to maintain a resetting process up to a given observation time, and exactly calculate the moment generating function of this work. Our framework is valid for a wide range of systems, the only assumption being relaxation to equilibrium in the resetting trap. Examples and extensions are considered. In the case of Brownian motion, we investigate optimal resetting schemes that minimize work and its fluctuations, the mean work for arbitrary switching protocols, and comparisons to previously studied resetting schemes. Numerical simulations are performed to validate our findings.
DOI: https://doi.org/10.1103/PhysRevResearch.6.033343 Published by the American Physical Society under the terms of the Creative Commons Attribution 4.0 International license. Further distribution of this work must maintain attribution to the author(s) and the published article's title, journal citation, and DOI. Funded by Bibsam . Published by the American Physical Society Physics Subject Headings (PhySH)
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Download & Share(a) We consider a resetting protocol where the system intermittently switches between a resetting potential V ( x ) and an exploration potential U ( x ) , both of which are completely general. (b), (c) Schematic of realizations of the resetting protocol as a function of time. The system is initially prepared in the potential V ( x ) [such that p eq ( x ) ∝ e − β V ( x ) ] , and switches to U ( x ) at time t = 0 . At a fixed observation time t , the system may reside in either the resetting phase [panel (b)], or in the exploration phase [panel (c)]. Contributions to the work generating function with zero ψ 0 ( k ) resets [panel (a)] and one resetting ψ 1 ( k ) [panel (b)]. ψ 1 ( k ) has two contributions, labeled (i) and (ii). Long-time scaled mean ( μ w ) and variance ( Σ w ) of work as a function of number ( θ ) of resetting trap-relaxation time. Lines: Analytical results Eqs. ( 24 ) and ( 25 ). Symbols: Numerical simulations (without the assumption of the particle's relaxation in each return phase). The color intensity increases with the resetting rate r . For numerical simulations, we take the observation time t = 10 4 . Parameters are set to λ V = 10 , γ = 1 , z = 2 , and D = 0.5 . Free exploration case ( λ U = 0 ). Scaled mean and variance as a function of time. Line: Theory [obtained by numerical inversion of the Laplace transform of Eqs. ( 22 ) and ( 23 )]. Symbol: Numerical simulations (without the assumption of the particle's relaxation in each return phase). We set the diffusion constant D = 0.5 , the dissipation coefficient γ = 1 , the reset trap's stiffness λ V = 10 , the trap's minimum at z = 2 , and number of relaxation time θ = 2 , resetting rate r = 0.1 . For numerical simulations, we take the time step Δ t = 10 − 4 , and number of realizations N R = 10 4 . Long time rate of average work Eq. ( 24 ) as a function of ( λ V , λ U ) . The dashed line corresponds to the minima given by Eq. ( 27 ), giving an optimal value of λ V * for a given λ U and z . Panels (a), (b), and (c), respectively, correspond to z = 0 , 0.5 , 1.5 . Parameters are fixed to T = r = γ = 1 , θ = 3 . (a) Scaled variance Σ W at long times given by Eq. ( 25 ) as a function of exploration ( λ U ) and resetting ( λ V ) potentials' stiffness. Resetting trap minimum is set to z = 1 / 2 . (b) Tradeoff relation between scaled standard deviation and mean work rates, for different values of the shift parameter z . Each curve shows the optimal values of scaled mean and scaled standard deviation obtained by substituting λ V * ( α ) ( 30 ) in Eqs. ( 24 ) and ( 25 ). (c) Optimal resetting trap strength λ V * ( 30 ) as a function of the parameter α , for different values of the shift parameter z . The red horizontal dashed line corresponds to λ U = 1 [fixed for panels (b) and (c)], and the color intensity increases with increasing the value of z . Other fixed parameters are T = r = γ = 1 , θ = 3 . Mean work rate 〈 W 〉 / n of resetting as a function of number n of resetting trails, for exponentially distributed exploration phases with rate r and resetting phases of fixed duration θ τ rel . Solid line: Eq. ( 39 ). Symbols: Numerical simulation. Number of realizations N R = 10 4 . The black dashed line shows the steady-state rate λ V D / r ( 42 ). Parameters used are r = D = γ = 1 , λ V = 0.25 , θ = 0.5 , x 0 = 0 . Mean work rate 〈 W 〉 / n for large n of resetting as a function of the exploration potential's strength λ U , for h ( τ ) = δ ( τ − 1 ) and f ( T ) = e − T 2 / 2 2 / π with T > 0 . Solid line: Exact result ( 50 ). Symbols: Numerical simulation. Each data point is obtained from a single trajectory of duration t = 10 7 . Parameters used are D = γ = 1 , λ V = 1 , x 0 = 0 . Harmonic return potential and free diffusion. Comparison of scaled mean work μ W ( 53 ) (blue lines) with that of obtained in Ref. [ 50 ] [Fig. 4 (right panel)] (red dashed line), as a function of trap stiffness λ V . The color intensity increases with increasing θ . Parameters: Resetting rate r = 0.5 , diffusion constant D = 0.75 , and dissipation constant γ = 1 . Sign up to receive regular email alerts from Physical Review Research Reuse & PermissionsIt is not necessary to obtain permission to reuse this article or its components as it is available under the terms of the Creative Commons Attribution 4.0 International license. This license permits unrestricted use, distribution, and reproduction in any medium, provided attribution to the author(s) and the published article's title, journal citation, and DOI are maintained. Please note that some figures may have been included with permission from other third parties. It is your responsibility to obtain the proper permission from the rights holder directly for these figures.
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Qualitative Findings. Qualitative research is an exploratory research method used to understand the complexities of human behavior and experiences. Qualitative findings are non-numerical and descriptive data that describe the meaning and interpretation of the data collected. Examples of qualitative findings include quotes from participants ...
The main objective of the finding section in a research paper is to display or showcase the outcome in a logical manner by utilizing, tables, graphs, and charts. The objective of research findings is to provide a holistic view of the latest research findings in related areas. Research findings also aim at providing novel concepts and innovative ...
Step 1: Consult the guidelines or instructions that the target journal or publisher provides authors and read research papers it has published, especially those with similar topics, methods, or results to your study. The guidelines will generally outline specific requirements for the results or findings section, and the published articles will ...
Findings are the results or conclusions derived from research, analysis, or investigation, providing evidence that supports or refutes a hypothesis or argument. They play a crucial role in presenting an argument as they offer data and insights that inform the context, purpose, and audience of the work, ultimately shaping the narrative and persuasive elements of the argument.
forth between the findings of your research and your own perspectives and understandings to make sense and meaning. Meaning can come from looking at differences and similari-ties, from inquiring into and interpreting causes, consequences, and relationships. Data analysis in qualitative research remains somewhat mysterious (Marshall & Rossman,
The Results (also sometimes called Findings) section in an empirical research paper describes what the researcher(s) found when they analyzed their data. Its primary purpose is to use the data collected to answer the research question(s) posed in the introduction, even if the findings challenge the hypothesis.
Research Summary. Definition: A research summary is a brief and concise overview of a research project or study that highlights its key findings, main points, and conclusions. It typically includes a description of the research problem, the research methods used, the results obtained, and the implications or significance of the findings.
RESEARCH FINDING definition | Meaning, pronunciation, translations and examples
For most research papers in the social and behavioral sciences, there are two possible ways of organizing the results. Both approaches are appropriate in how you report your findings, but use only one approach. Present a synopsis of the results followed by an explanation of key findings. This approach can be used to highlight important findings.
Placing research in the bigger context of its field and where it fits into the scientific process can help people better understand and interpret new findings as they emerge. A single study usually uncovers only a piece of a larger puzzle. Questions about how the world works are often investigated on many different levels.
Translating research findings into practice requires understanding how to meet communication and dissemination needs and preferences of intended audiences including past research participants (PSPs) who want, but seldom receive, information on research findings during or after participating in research studies. ... The mean age of survey ...
Here are a few best practices: Your results should always be written in the past tense. While the length of this section depends on how much data you collected and analyzed, it should be written as concisely as possible. Only include results that are directly relevant to answering your research questions.
Implementing knowledge. Research findings can influence decisions at many levels—in caring for individual patients, in developing practice guidelines, in commissioning health care, in developing prevention and health promotion strategies, in developing policy, in designing educational programmes, and in performing clinical audit—but only if clinicians know how to translate knowledge into ...
We define dissemination as a planned process that involves consideration of target audiences and the settings in which research findings are to be received and, where appropriate, communicating and interacting with wider policy and health service audiences in ways that will facilitate research uptake in decision-making processes and practice.
Insights = Opportunities to the Business. Definition: Insights are focused explanations of opportunities, based on other user research and business context. While findings describe what is observed in the scope of a particular study or time frame of a live product, insights tie specific opportunities to specific user needs and they relate to ...
Qualitative Research: Qualitative research is an exploratory approach to understanding individuals' or groups' meaning, context, and subjective experiences. It involves collecting and analyzing non-numerical data, such as interviews, observations, or textual analysis, to gain deep insights into complex social phenomena.
Before diving into your research findings, first describe the flow of participants at every stage of your study and whether any data were excluded from the final analysis. ... Group mean accuracy was also higher for the moderate caffeine group (M = 86.2%, SD = 7.3%) than the no-caffeine group (M = 81.6%, SD = 5.4%).
Findings. The principal outcomes of a research project; what the project suggested, revealed or indicated. This usually refers to the totality of outcomes, rather than the conclusions or recommendations drawn from them. Related Terms. Conclusions and recommendations
Research methods are specific procedures for collecting and analyzing data. Developing your research methods is an integral part of your research design. When planning your methods, there are two key decisions you will make. First, decide how you will collect data. Your methods depend on what type of data you need to answer your research question:
The discussion section is often considered the most important part of your research paper because it: Most effectively demonstrates your ability as a researcher to think critically about an issue, to develop creative solutions to problems based upon a logical synthesis of the findings, and to formulate a deeper, more profound understanding of the research problem under investigation;
These include helping to develop the research question, applying for funding and ethical approval, sitting on advisory groups, carrying out the research and disseminating the research findings. This section considers the different ways members of the public can get involved in the stages of the research cycle.
Definition of Research Misconduct. As an agency under the Department of Health and Human Services (HHS), NIH follows the Public Health Service (PHS) Policies on Research Misconduct 42 CFR 93 . Research misconduct means fabricating, falsifying, and/or plagiarizing in proposing, performing, or reviewing research, or in reporting research results.
Example: Research objectives. To assess the relationship between sedentary habits and muscle atrophy among the participants. To determine the impact of dietary factors, particularly protein consumption, on the muscular health of the participants. To determine the effect of physical activity on the participants' muscular health.
Microbiologist and research integrity expert Elisabeth Bik, who also worked on the Zlokovic dossier, contributed other Masliah examples and reviewed and concurred with almost all of the findings. All of the dossier authors worked as volunteers, poring over papers and images in their spare time.
Mandatory Repeatable Data Type Authority Level Available A/V Only Public Element No Yes Variable Character Length (20) Finding Aid Type List Record Group Collection Series File Unit No Yes Definition: The type of finding aid for the record group, collection, or series being described. Finding aids are tools that help a user find information in a specific record group, collection, or series of ...
RESEARCH FINDING meaning | Definition, pronunciation, translations and examples in American English. TRANSLATOR. LANGUAGE. GAMES. SCHOOLS. BLOG. RESOURCES. More . English Dictionary. ... Rising property prices have hit the young particularly hard, with research finding only 18 per cent of mortgage holders under 35 in 2013 - down 21 per cent ...
In the case of Brownian motion, we investigate optimal resetting schemes that minimize work and its fluctuations, the mean work for arbitrary switching protocols, and comparisons to previously studied resetting schemes. Numerical simulations are performed to validate our findings. ... Phys. Rev. Research 6, 033343 - Published 27 September 2024.