Types of validity Flashcards

1
Q

Definition of Validity

A
  • Definition: The extent to which a research study or measuring instrument accurately measures what it is intended to measure.
  • Purpose: To ensure that conclusions drawn from research findings are sound and applicable.
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2
Q

Types of Validity

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  1. Construct Validity
    o Definition: The degree to which a test measures the theoretical construct or trait it is intended to measure.
    o Assessment: Evaluated through factor analysis, correlational studies, and examining the relationship between the test and other measures.
  2. Content Validity
    o Definition: The extent to which a measure represents all facets of a given construct.
    o Assessment: Involves expert judgment and review of test items to ensure coverage of the entire construct.
    o Example: A depression scale that includes items assessing emotional, cognitive, and behavioral symptoms of depression.
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  3. Criterion Validity
    o Definition: The degree to which a measure correlates with an outcome or criterion it should theoretically be related to.
    o Types:
     Concurrent Validity: Evaluates how well a new measure correlates with a well-established measure of the same construct at the same time.
     Example: Comparing a new anxiety questionnaire with a recognized anxiety measure.
     Predictive Validity: Assesses how well a measure can predict future outcomes.
     Example: Using SAT scores to predict college performance.
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  4. Internal Validity
    o Definition: The extent to which a study can establish a cause-and-effect relationship between the independent and dependent variables.
    o Assessment: High internal validity means that the observed effects are due to the manipulation of the independent variable and not confounding factors.
    o Threats: Include confounding variables, participant bias, and experimental design flaws.
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  5. External Validity
    o Definition: The extent to which the results of a study can be generalized to, or have relevance for, settings, people, times, and measures other than the one used in the study.
    o Types:
     Population Validity: The degree to which findings can be generalized to the larger population.
     Example: Results from a study on college students may not apply to older adults.
     Ecological Validity: The extent to which findings can be generalized to real-world settings.
     Example: A lab study on aggression may not reflect real-life aggression scenarios.
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3
Q

Importance of Validity

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  • Trustworthy Conclusions: Validity ensures that the results of a study are credible and reflect true relationships.
  • Effective Interventions: High validity in assessment tools leads to more effective psychological interventions and treatment planning.
  • Informed Policy Decisions: Valid findings inform policy decisions in mental health, education, and other fields.
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4
Q

Assessing Validity

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  • Triangulation: Using multiple methods or measures to assess the same construct can enhance validity.
  • Pilot Studies: Conducting preliminary studies can help identify issues with the validity of measures or research design.
  • Peer Review: Subjecting research to peer review helps ensure that validity is rigorously evaluated before publication.
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5
Q

Limitations of Validity

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  • Complexity of Constructs: Some constructs are complex and may not be fully captured by a single measure, limiting validity.
  • Context-Specific: Validity can vary depending on the context and population being studied.
  • Changes Over Time: Measures may lose validity over time as societal norms and understandings evolve.
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