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Related Concept Videos

Case Studies01:22

Case Studies

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There are many research methods available to psychologists in their efforts to understand, describe, and explain behavior and the cognitive and biological processes that underlie it.
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Cause and Effect01:53

Cause and Effect

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While variables are sometimes correlated because one does cause the other, it could also be that some other factor, a confounding variable, is actually causing the systematic movement in our variables of interest. For instance, as sales in ice cream increase, so does the overall rate of crime. Is it possible that indulging in your favorite flavor of ice cream could send you on a crime spree? Or, after committing crime do you think you might decide to treat yourself to a cone?
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Criteria for Causality: Bradford Hill Criteria - II01:28

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The Bradford Hill criteria serve as guidelines for establishing causative links in epidemiological research. Beyond Strength, Consistency, Specificity, and Temporality, key criteria also include Biological Gradient, Plausibility, Coherence, Experiment, and Analogy. These principles assist scientists in assessing the likelihood of causation in complex biological contexts. Below is a summary of these concepts:
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Naturalistic Observations02:30

Naturalistic Observations

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If you want to understand how behavior occurs, one of the best ways to gain information is to simply observe the behavior in its natural context. However, people might change their behavior in unexpected ways if they know they are being observed. How do researchers obtain accurate information when people tend to hide their natural behavior? As an example, imagine that your professor asks everyone in your class to raise their hand if they always wash their hands after using the restroom. Chances...
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Social Proof00:52

Social Proof

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Social proof is a form of persuasion based on comparison and conformity. People compare their behavior and actions to what others are doing and will change to conform to do what their peers do.
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Statistical Significance01:50

Statistical Significance

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Once data is collected from both the experimental and the control groups, a statistical analysis is conducted to find out if there are meaningful differences between the two groups. A statistical analysis determines how likely any difference found is due to chance (and thus not meaningful). In psychology, group differences are considered meaningful, or significant, if the odds that these differences occurred by chance alone are 5 percent or less. Stated another way, if we repeated this...
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Related Experiment Video

Updated: Dec 31, 2025

Evidence-based Knowledge Synthesis and Hypothesis Validation: Navigating Biomedical Knowledge Bases via Explainable AI and Agentic Systems
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Published on: June 13, 2025

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Generalizability: Linking Evidence to Practice.

Steven J Kamper

    The Journal of Orthopaedic and Sports Physical Therapy
    |January 2, 2020
    PubMed
    Summary

    Generalizability of research findings allows clinicians to apply study results to individual patients for informed clinical decisions. This requires careful consideration of the condition, intervention, and patient characteristics.

    Area of Science:

    • Clinical Research Methodology
    • Evidence-Based Practice

    Background:

    • Generalizability is crucial for applying research findings to patient care.
    • Clinicians face the challenge of determining if study results are applicable to their patients.

    Purpose of the Study:

    • To define the concept of generalizability in clinical research.
    • To guide clinicians in making reasoned decisions about applying research findings.

    Main Methods:

    • Conceptual analysis of generalizability in the context of clinical decision-making.
    • Discussion of factors influencing the applicability of research to patient populations.

    Main Results:

    • Generalizability means study results are useful for informing clinical decisions in patient care.
    Keywords:
    clinical practiceevidence-based practicegeneralizabilityresearch

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  • Clinicians must critically evaluate the condition, intervention, and patient when assessing generalizability.

    • Conclusions:

    • Clinicians are responsible for determining the level of generalizability of research studies.
    • Informed treatment decisions depend on a nuanced understanding and weighting of generalizability.