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[1] [4] [5] [6] Modern validity theory defines construct validity as the overarching concern of validity research, subsuming all other types of validity evidence [7] [8] such as content validity and criterion validity. [9] [10] Construct validity is the appropriateness of inferences made on the basis of observations or measurements (often test ...
In psychometrics, criterion validity, or criterion-related validity, is the extent to which an operationalization of a construct, such as a test, relates to, or predicts, a theoretically related behaviour or outcome — the criterion. [1] [2] Criterion validity is often divided into concurrent and predictive validity based on the timing of ...
In psychometrics, content validity (also known as logical validity) refers to the extent to which a measure represents all facets of a given construct.For example, a depression scale may lack content validity if it only assesses the affective dimension of depression but fails to take into account the behavioral dimension.
Construct validity refers to the extent to which operationalizations of a construct (e.g., practical tests developed from a theory) measure a construct as defined by a theory. It subsumes all other types of validity. For example, the extent to which a test measures intelligence is a question of construct validity.
Test validity is the extent to which a test (such as a chemical, physical, or scholastic test) accurately measures what it is supposed to measure.In the fields of psychological testing and educational testing, "validity refers to the degree to which evidence and theory support the interpretations of test scores entailed by proposed uses of tests". [1]
The following types of reliability and validity should be established for a multi-item scale: internal reliability, test-retest reliability (if the variable is expected to be stable over time), content validity, construct validity, and criterion validity. Factor analysis is used in the scale development process.
The construct validation approach that was used to construct the PAI was used to maximize two types of validity: content validity and discriminant validity. To ensure that the PAI maximized content validity, each scale had a balanced sample of items that represented a range of important items for each construct.
Content validation (also called face validity) checks how well the scale measures what is supposed to measured. Criterion validation checks how meaningful the scale criteria are relative to other possible criteria. Construct validation checks what underlying construct is being measured. There are three variants of construct validity.