5.3 validity

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32 Terms

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Validity

  • most important concept in psychological measurement

  • whether the test measures what we think it is measuring


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we can have a reliable tool, but

  • validity might be missing → the tool is measuring other constructs that we think it is measuring


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important decisions such as diagnosis or placement in a given group based on 

  • scores from psychometric tests


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Validity can be an

  • elusive, abstract concept


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conceptualization of validity has

  • changed over time & it keeps changing


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Validity refers to the degree to which 

  • evidence & theory support the interpretations of the test scores for the proposed uses of tests


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Validity does not really refer to the test itself, but also

  • scores that are derived from the test


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Validity analysis should begin with an 

  • explicit statement of the proposed interpretation of test scores


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Validity of test scores: an example

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Validity is a global judgment based on different types of

  • evidence


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Types of validity

  • content validity

  • factorial/structural validity

  • criterion-related validity


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Content validity

  • does the content of the test reflects the conceptualization of the construct


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factorial/structural validity

  • is the structure of the construct as we had theorized

  • unidimensional vs multidimensional.


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criterion-related validity

  • validity with respect to other external criteria.

    • concurrent or predictive


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Content Validity refers to

  • analysis of the relationship between the content of a test & the construct it is intended to measure


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Content Validity includes

  • themes, wording, & format of the items, tasks, or questions on a test


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In order to be content validity

  • content of the items needs to be relevant to the construct

  • subjects performing tasks must be a good representation of the construct we intend to measure

  • wording & format of the items must be appropriate (adapted to a certain level & abilities of the test-taker

  • data must be content-based evidence



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The evidence for content validity comes from:

  • the logical relationships the creator of the test has established between construct & content.

  • expert judgments of the relationship between different parts of the test & the construct.


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Structural/Factorial Validity

  • analysis of the internal structure of a test

  • degree to which the relationship among test items & test components (dimensions) conform to the theoretical construct that we are intending to measure


<ul><li><p><strong><mark data-color="purple" style="background-color: purple; color: inherit;">analysis of the internal structure of a test </mark></strong></p></li><li><p><strong><mark data-color="purple" style="background-color: purple; color: inherit;">degree to which the relationship among test items &amp; test components (dimensions) conform to the theoretical construct that we are intending to measure </mark></strong></p></li></ul><p></p>
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After we analyze the test (using factor analysis), we should

  • see how items that measure each dimension group together


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Evidence for construct validity usually comes from applying

  • factor analysis to the results of the test


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Structural/Factorial Validity: Employee Engagement → example

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Criterion Validity

  • how the scores of the test relate to another established standard of comparison

    • concurrent validity

    • predictive validity


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Concurrent validity

  • refers to measures taken at the same time.

  • We measure subjects (or obtain other type of information related to the construct) at the same time & we expect to see a relationship.


<ul><li><p><strong><mark data-color="purple" style="background-color: purple; color: inherit;">refers to measures taken at the same time. </mark></strong></p></li><li><p><strong><mark data-color="purple" style="background-color: purple; color: inherit;">We measure subjects (or obtain other type of information related to the construct) at the same time &amp; we expect to see a relationship.</mark></strong></p></li></ul><p></p>
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Predictive validity

  • Refers to obtaining a measure at a later time to compare with our original measurement.

  • We measure subjects at a later time & we expect to see that their scores in our test predict other indicators of the same construct.


<ul><li><p><strong><mark data-color="purple" style="background-color: purple; color: inherit;">Refers to obtaining a measure at a later time to compare with our original measurement. </mark></strong></p></li><li><p><strong><mark data-color="purple" style="background-color: purple; color: inherit;">We measure subjects at a later time &amp; we expect to see that their scores in our test predict other indicators of the same construct.</mark></strong></p></li></ul><p></p>
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The evidence for criterion related validity comes from

  • how the scores of our test relate to the results of other tests (or other measures that have been validated) & our measure that is supposed to target the construct.

  • how the scores of our test relate to the results of other measurements that are taken later in time (& that we believe are related to the target construct)

  • in practise → we try to correlate the scores of our test with the scores of the criterion


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New conceptualization of validity → according to Denny Borsboom & collaborators

  • Current conceptualization has proven to be useless

  • Do not believe that a test should be built & checked for validity afterwards

  • Validity of the measure should start before the measure is even conceptualized

  • Validity should be a quality that we put in an instrument, & not something to be discovered afterwards


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According to Borsboom → a test is valid for measuring an attribute if

  • the attribute exists & variations in the attribute causally produce variation in the measurement outcomes

    • he proposed to start test development by thinking about how a process that would lead to difference in test scores would look like

    • we should build a test based on this, how differences would manifest on the sample

    • We should focus on how differences manifest in people & not so much in theoretical definitions.


<ul><li><p><strong><mark data-color="purple" style="background-color: purple; color: inherit;">the attribute exists &amp; variations in the attribute causally produce variation in the measurement outcomes</mark></strong></p><ul><li><p><strong><mark data-color="blue" style="background-color: blue; color: inherit;">he proposed to start test development by thinking about how a process that would lead to difference in test scores would look like</mark></strong></p></li><li><p><strong><mark data-color="blue" style="background-color: blue; color: inherit;">we should build a test based on this, how differences would manifest on the sample</mark></strong></p></li><li><p><strong><mark data-color="blue" style="background-color: blue; color: inherit;">We should focus on how differences manifest in people &amp; not so much in theoretical definitions.</mark></strong></p></li></ul></li></ul><p></p>
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counterargument for Borsboom explanation of a test

  • Theories exists only in some areas

  • We cannot always build a test based on how different levels of the trait are manifested in different situations.

  • Sometimes we can only build a test based on the available theory, administer it, & look for correlations with other measures etc.


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Validity refers to the 

  • extent to which a particular test score interpretation (or use) is justified


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The prevailing approach to validity analysis considers

  • content

  • structural

  • criterion-related validity


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There is some opposition to this approach that claims that validity should precede

  • test constructions