Ch 5.1 Reliability Flashcards

1
Q

Concept of Reliability

A

Consistency

  • Within the test (Internal Consistency)
  • Across different points in time (Test-Retest)
  • Across different raters (Inter-rater) [Consistency across clinicians]
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2
Q

All tests contain error

A
  • Your observed test score is your “true” (T) score + some error (E)
  • X = T+E
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3
Q

Reliability

A

Repeatability or consistency of measurement

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4
Q

Reliability coefficient

A
  • Index of reliability
  • Indicates ratio between true score variance & total variance on a test
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5
Q

Variance

A
  • Standard deviation squared
  • Total variance = True variance (variance from true sources) + Error variance (variance from different sources)
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6
Q

Smaller error variance

A

Small error variance = higher reliability coefficient (closer to 1)

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7
Q

Larger error variance

A

Larger error variance = lower reliability coefficient (closer to 0)

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8
Q

Measurement Error

A
  • All factors associated with the process of measuring some variable, other than the variable being measured
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9
Q

Random error

A
  • Noise
  • Unpredictable, inconsistent
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10
Q

Systematic error

A
  • Does not affect score consistency (reliability)
  • However, does affect validity
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11
Q

Sources of Error Variance [place holder]

A

.

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12
Q

Test construction

A
  • Item sampling
  • Content sampling
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13
Q

Test administration

A
  • Environmental factors
    ex: noise level, lighting
  • Test taker variables
    ex: emotional or medical state
  • Examiner- related variables
    ex: I give you clues by the way I answer your questions
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14
Q

Test scoring & interpretation

A
  • Unstructured personality tests
  • Manually scored exams
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15
Q

Consistency Within the Test: Internal Consistency Reliability

A
  • Use of a single test administered on one occasion to estimate reliability. Useful in understanding inter-item consistency (homogeneity)
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16
Q

Split-half reliability

A
  • Correlating scores obtained from equivalent halves
  • Ways to split items
  • Random split
  • Odd-even split
  • 1st & 2nd half
  • Cannot simply correlate the 2 because shorter tests are generally less reliable than longer tests
  • Must use statistics
17
Q

Split - Half Statistics

A
  • When using split half reliability you use the Spearman Brown formula to calculate the full measures reliability coefficient
18
Q

Spearman Brown Formula

A
  • Allows estimates of internal consistency from a correlation of two test halves (predicts reliability after changing test length)
  • Calculate the effect of increasing or decreasing test length
  • How many items needed to reach certain reliability
19
Q

Kuder Richardson Formula 20 (KR-20)

A
  • Similar concept to Spearman-Brown
  • Used when items are dichotomous right/wrong
20
Q

Cronbach’s Coefficient Alpha

A
  • The mean of all possible split half correlations
  • Used with continuous variable items
  • Preferred statistics for obtaining an estimate of internal consistency reliability
  • Range from 0 (no similarity) to 1 (perfectly identical)
  • Larger the better but also you don’t want redundancy
21
Q

Consistency Between Tests: Parallel/Alternate Forms

A
  • Degree of relationship between various forms of a test (equivalence)
22
Q

Parallel

A
  • Must have the same means & variances of observed scores
  • Estimate of the extent to which item sampling and other errors affect test scores
23
Q

Alternate

A
  • Is equivalent with respect to content, difficulty level
  • Time consuming and expensive to construct
  • Advantages (controls memory effects)