Types of validity Flashcards
1
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Definition of Validity
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- 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.
2
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Types of Validity
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- 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. - 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.
________________________________________ - 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.
________________________________________ - 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.
________________________________________ - 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.
3
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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.
4
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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.
5
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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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