6 Validity

    Cards (30)

    • Validity
      The agreement between a test score or measure and the quality it is believed to measure
    • Face Validity
      The mere appearance that a test has validity
    • Face Validity
      • A scale to measure anxiety might include items such as "My stomach gets upset when I think about taking tests" and "My heart starts pounding fast whenever I think about all of the things I need to get done"
    • Content Validity
      Considers the adequacy of representation of the conceptual domain the test is designed to cover
    • Criterion-Related Validity

      Tells us just how well a test corresponds with a particular criterion
    • Criterion
      The standard against which the test is compared
    • Characteristics of a criterion
      • Relevant
      • Valid and reliable
      • Uncontaminated
    • Predictive Validity

      Scores on a test can predict future behavior or scores on another test taken in the future
    • Concurrent Validity

      The extent to which test scores can be used to estimate an individual's current standing on a criterion
    • Validity Coefficient
      The relationship between a test and a criterion, usually expressed as a correlation, that tells the extent to which the test is valid for making statements about the criterion
    • A validity coefficient is statistically significant if the chances of obtaining its value by chance alone are quite small, usually less than 5 in 100
    • Construct-Related Validity

      Evidence established through a series of activities in which a researcher simultaneously defines some construct and develops the instrumentation to measure it
    • Evidence of Homogeneity
      • Subtest scores are correlated to the total score
      • Coefficient alpha may be used as homogeneity evidence
      • Spearman Rho can be used to correlate an item to another item
      • Pearson or point biserial can be used to correlate an item to the total test score (inter-item correlation)
    • Evidence of Changes with Age
      • Some variables or constructs are expected to change with age
    • Evidence of Pretest-Posttest Changes
      • Difference of score from pretest and posttest of a defined construct after careful manipulation would provide validity
    • Evidence from Distinct Groups
      • Method of contrasted groups
      • T-test can be used to test the difference of groups
    • Convergent Evidence
      • A measure correlates well with other tests believed to measure the same construct
    • Discriminant Evidence
      • A demonstration of uniqueness or the index taps something other than the tests used in the convergent evidence studies
    • Factor Analysis
      • Exploratory factor analysis - entails "estimating, or extracting factors; deciding how many factors to retain; and rotating factors to an interpretable orientation"
      • Confirmatory factor analysis - researchers test the degree to which a hypothetical model fits the actual data
    • Test Bias
      A factor inherent in a test that systematically prevents accurate, impartial measurement
    • Types of Test Bias
      • Severity error/Strictness error
      • Leniency error/Generosity error
      • Central tendency error
      • Proximity error (order-effect)
      • Primacy effect
      • Contrast effect
      • Recency effect
      • Halo effect
      • Impression management
      • Acquiescence
      • Non-acquiescence
      • Faking-Good
      • Faking-Bad
    • Test Fairness
      The extent to which a test is used in an impartial, just, and equitable way
    • Reliability
      Consistency of measurement
    • Validity
      Accuracy of measurement
    • Attempting to define the validity of a test will be futile if the test is not reliable
    • A construct is defined as something built by mental synthesis.
    • Construct underrepresentation describes the failure to capture important components of a construct
    • Construct-irrelevant variance occurs when scores are influenced by factors irrelevant to the construct.
    • FACTOR ANALYSIS
      A class of mathematical procedures designed to identify factors or specific variables that are typically attributes, characteristics, or dimensions on which people may differ
    • IOW, we can have reliability without validity. However, it is logically impossible to demonstrate that an unreliable test is valid.
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