Validity, Reliability and Generalizability of Personality Tests

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These flashcards cover key concepts related to validity, reliability, and generalizability of personality tests as discussed in the lecture.

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31 Terms

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Life-Outcome Data (L-Data)

Information gathered from events, activities, and outcomes in a person's life, providing 'real life' information about personality.

-public record

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Observer-Report Data (O-Data)

Data collected from various observers such as friends, family, and teachers to gather insights about a person’s personality.

-multiple observers

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Test-Data (T-Data)

Data collected from participants in standardized testing situations to observe if different people react differently to identical situations.

-Henry Murray’s bridge-building test

-9 dots challenge

-particpants can guess the trait being measured and alter their beheavior to create certain impressions

-researchers might influence how particpants beheave

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Self-Report Data (S-Data)

Information provided by a person about themselves, often through surveys or interviews.

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Validity

The degree to which a test measures what it claims to measure.

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Reliability

The degree to which a measure represents the 'true' level of the trait being measured.

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Generalizability

The degree to which a measure retains validity across different contexts, including different groups of people.

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Construct Validity

The extent to which a test accurately measures the theoretical construct it aims to measure.

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Convergent Validity

The degree to which a test correlates with other measures of the same construct.

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Discriminant Validity

Whether a measure is not overly correlated with measures of different, unrelated constructs.

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Predictive Validity

How well a test predicts outcomes or behaviors it is intended to forecast.

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Test-Retest Reliability

Consistency of test scores over time when administered to the same individuals in similar conditions.

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Internal Consistency Reliability

Consistency of results across items within a single test.

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Inter-Rater Reliability

Degree of agreement between two or more raters or observers assessing the same phenomenon.

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selecting observers

professional personality assessors

-people who know the target person

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naturalistic observation

observers witness and record events that occur in the normal course of lives of the particpants in the normal course of lives of particapants

-realistic context and natural beheavior

-researcher unable to control events witnessed

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artifical observation

occurs in artifical settings or situations

-researchers controls conditions and elicits relevant beheavior

-lacks realism

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mechanical recording devices

-actometer which used to assess children’s activty

-activity level is stable over time

-not biasees of human observer

-may be used in naturalistic settings

-modern mechanical assessement

physiological data-heart rate, sweat, hormone levels

-functional magnetic resonance imaging (fMRI)

-diffcult to fake responses

-awareness of being tested

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projective techniques

-presented with ambigous stimuli asked to describe what they see

-assumption is that person projects personality onto ambigous stimuli

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s-data personality tests

unstructed items-open ended

structured items-responses options provided

-easy to collect

-people may not respond honestly

-people lack accurate self-knowledge

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evaluation of personality measures

-no evidence of validity or reliabliity

-evidence of reliablity but not validity

-evidence of validity but not reliablity

-evidence of reliablity and validity

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5 types of validity

  1. face validity

  2. construct validity

  3. convergent validity

  4. discriminant validity

  5. predictive or criteion validity

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face validity

extent to which test appears to measure what it claims to measure at face value

-based on superfical judgement, intution and common sense

-example math test

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constuct validity

-extent to which test accurately measures the theoratical construct it aims to measure

-IQ tests measuring intelligence

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convergent validity

-degree to which test correlates with other measures of the same construct

-example is new anxiety scale correlating strongly with an established anxiety questionaire

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discriminant validity

-whether is a measure is not overly correlated with measures of different, unrelated constructs

-example is depresion scale showing weak correlation with happiness scale

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predictive/criteion validity

-how well a test predicts outcomes or beheavior it is intended to forecast

-example the famous marshmallow test

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3 types of reliablity

  1. test-retest reliablity

  2. interal consistency reliablity

  3. inter-rater reliablity

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test retest reliablity

-consistency of test scores over time when adminstred to the same individuals in simillar conditions

-example is personality test given twice to the same particpants two weeks apart yields simillar results

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interal consistency reliablity

consistency of results across items within single test

example is all items on depression scale measuring the same underlying construct of depression

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inter-rater reliablity

degree of agreemenet between two or more raters or observers assesseing the same phenommeon

example s two clinicians independelty diagnosing the same pateint arrive at the same conclusion