ch 5

Concurrent validity

A form of criterion validity that involves evaluation of the relationship between a self­ report and a behavioral measure that are as­sessed at the same time.

Construct validity

The extent to which a measured variable actually measures the conceptual variable that it is designed to assess.

Content validity

The degree to which a measured variable appears to have adequately sampled from the potential domain of topics that might relate to the conceptual variable of interest.

Convergent validity

The extent to which a mea­sured variable is found to be related to other mea­sured variables designed to measure the same conceptual variable.

Criterion validity

An assessment of validity calcu­lated though the correlation of a self­report measure with a behavioral measured variable.

Discriminant validity

The extent to which a mea­sured variable is found to be unrelated to other measured variables designed to assess different conceptual variables.

Face validity

The extent to which a measured vari­able appears to be an adequate measure of the conceptual variable

Predictive validity

A form of criterion validity in which a self­report measure is used to predict fu­ture behavior.

Reliability

The extent to which a measured vari­able is free from random error.

Reactivity

Changes in responding that occur as a result of measurement.

Equivalent-forms reliability

A form of test–retest reliability in which two different but equivalent ver­sions of the same measure are given at different times and the correlation between the scores on the two versions is assessed.

Interrater reliability

The internal consistency of the ratings made by a group of judges.

Reliability

The extent to which a measured vari­ able is free from random error.

Split-half reliability

A measure of internal con- sistency that involves correlating the respondents’ scores on one half of the items with their scores on the other half of the items.

Test–retest reliability

The extent to which scores on the same measured variable correlate with each other on two different measurements given at two different times.

Random error

Chance fluctuations in measurement that influence scores on measured variables.

Systematic error

The influence on a measured variable of other conceptual variables that are not part of the conceptual variable of interest.