Identifying Good Measurements Part 2 - Chapter 5

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Last updated 2:11 AM on 9/15/26
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13 Terms

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Face and Content validity establish that the operationalization look WHAT with the WHAT

Face and Content validity establish that the operationalization look CONSISTENT with the CONCEPTUAL DEFINITION

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Face validity

The extent to which a measure is subjectively considered a plausible operationalization of the conceptual variable in question.

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Content validity

The extent to which a measure captures all parts of a defined construct 

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Criterion validity

evaluates whether the measure under consideration is associated with a concrete behavioural outcome that it should be associated with, according to the conceptual definition

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Criterion validity is especially important for WHAT measures because the correlation can indicate how well people’s self-reports predict their WHAT

Criterion validity is especially important for SELF-REPORT measures because the correlation can indicate how well people’s self-reports predict their ACTUAL BEHAVIOURS

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Criterion validity provides strong evidence for a measure’s WHAT

Criterion validity provides strong evidence for a measure’s CONSTRUCT VALIDITY

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Known-groups paradigm

researchers see whether scores on the measure can discriminate among two or more groups whose behaviour is already confirmed

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Convergent validity

An empirical test of the extent to which a self-report measure correlates with other measures of a theoretically similar construct 

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Convergent validity

  • Should have higher r values with WHAT


Convergent validity

  • Should have higher r values with SIMILAR TRAITS


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Divergent/discriminant validity

An empirical test of the extent to which a self-report measure does not correlate strongly with measures of theoretically dissimilar constructs. 

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Divergent/discriminant validity

  • Should have lower r scales with WHAT


Divergent/discriminant validity

  • Should have lower r scales with DISSIMILAR TRAITS


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The WHAT of a measure is not the same as its WHAT 

The VALIDITY of a measure is not the same as its RELIABILITY 

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Something cannot be WHAT if it is not WHAT therefor a measure cannot be more WHAT than it is WHAT 

Something cannot be VALID if it is not RELIABLE therefor a measure cannot be more VALID than it is RELIABLE