Validity Flashcards
Validity
The degree to which a measure accurately represents the concept that it is supposed to measure.
Content validity
The degree to which a measure contains all of the critical measurements that as a group defines the concepts we wish to measure. Non-statistical validity
Face validity
If the measurement appears to be measuring what it is supposed to be measuring just by looking at it. Non-experts.
Expert validity
Experts rate the content of the instrument to determine, if the instrument covers all conceptual dimensions discussed in the literature
Construct validity
The extent to which a theoretical construct is assessed by the measurement instrument.
The degree to which the measure is related to other measures that theory requires them to be related to.
Discriminant validity
Discriminant validity (also known as divergent validity) refers to the degree to which measures of different constructs are distinct from one another. It assesses whether a measurement instrument does not correlate too highly with measures of different constructs that it should not be related to.
Convergent validity
Convergent validity refers to the degree to which two measures that are theoretically related to the same construct correlate with each other. It assesses whether different methods of measuring the same construct yield similar results.
Criterion validity
Compares the test with other measures or outcomes (the criteria) already held to be valid.
Concurrent validity
Concurrent validity refers to the extent to which a measurement correlates with a criterion that is measured at the same time. It assesses whether a new measure produces results that are consistent with an established measure of the same construct
Predictive validity
Predictive validity refers to the extent to which a measurement predicts future outcomes or behaviours. It assesses how well the results of a measure can forecast or correlate with a criterion that is measured at a later time.
External validity
Focuses on the generalizability of the study findings to other contexts; high external validity means the results can be applied to broader populations or settings.
Internal validity
Focuses on the accuracy of causal inferences within the study; high internal validity means the study effectively controls for confounding factors.