Ch 5.2 Reliability Flashcards

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1
Q

Consistency Across Time: Test-Retest Reliability

A
  • Correlating paires of scores from the same people on two different administrators of the same test
  • Appropriate for relatively stable constructs (personality)
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2
Q

Consider

A
  • Time between administrations

– Generally, as time increases reliability decreases

– Coefficient of stability (interval between testing > 6 mos.)

  • Intervening factors

– Going through treatment?

– Learning occurring?

When a change is assumed we do not use test-retest reliability

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3
Q

Consistency Across Raters: Inter - Scorer (Rater) Reliability

A
  • Degree of agreement of consistency between two or more scorers
  • Commonly included in test manuals
  • High consistency indicates that with sufficient training, scores may be derived in a systematic, consistent way by various scorers

Consider

  • Clarity of scoring criteria
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4
Q

Summary: Different Approaches to Reliability [placeholder]

A

.

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5
Q

Self-Reports

A
  • Test-Retest
  • Alternate Form/Parallel Form
  • Internal Consistency
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6
Q

Interviews/Behavioral Observations

A
  • Inter-Rater Reliability
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7
Q

How reliable is reliable?

A

Depends on the purpose of the test & importance of results

  • .65 - .70 (minimal_
  • .80+ (good)
  • .90+ (really good, sometimes too good)
  • Possible item redundancy
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8
Q

Interpretation Considerations

A

The purpose of the reliability coefficient

  • One time?
  • Use repeatedly?

The nature of the test

  • Is the construct homogeneous in nature? (life satisfaction)
  • Or, heterogeneous in nature? (daily stress measure)
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9
Q

Standard Error of Measurement

A

Used to estimate the extent to which an observed score deviates from the true score

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10
Q

SEM

A
  • SD of a theoretically normal distribution of test scores obtained by one person on equivalent tests
  • The higher the standard error of measurement, the lower the reliability (inverse relationship w/ reliability)
  • Provides a measure of precision of an observed score (allows us to estimate the range in which the true score is likely to exist)
  • Related to confidence intervals
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11
Q

Confidence Interval

A
  • Range of test scores likely to contain the true score
  • Observed score + or - (z critical value) * SEM

Ex: WAIS: You score was = 100; SEM = 2.5

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12
Q

SEM & Confidence Intervals

A
  • 90% confidence your true score is between 96.8 & 103.2
  • 95% confidence your true score is between 95.1 & 104.9
  • 99% confidence your true score is between 93.6 & 106.5

This is the case because 100 + or - the z score (1.28) x the SEM (2.5)

This equals 100 + or - 3.2z. You score is anywhere in the range of 100 + or - 3.2

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