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reliability
(1) the consistency of a measurement, across various conditions; (2) freedom from error
reliability is related to
variance of true differences in scores and differences due to error
systematic error
constant; by design of measure/assessment
unsystematic error
random; lowers test reliability (e.g., motivation, admin conditions) “social desirability”
test reliability
The ratio of “true variance” to “observed variance”
reliability coefficients range from
0.00-1.00 (the higher the coefficient, the higher reliability)
test-retest coefficient
Administer the same test, to the same group, on 2 occasions (several days/weeks apart); Compute correlation coefficient from both sets of scores
benefits of test-retest coefficient
accounts for differences due to various conditions associated with 2 occasions (unsystematic error); somewhat practical, inexpensive
cons of test-retest coefficient
same test items, so no control over design error (systematic error)
parallel forms
Administering 2 versions (forms) of a test, both equivalent (in terms of quality, form, degree of difficulty, etc.), but not the same items; Compute correlation coefficient from both (parallel) forms
benefits of parallel forms
accounts for differences due to various test items (systematic error); Could be used in a way (e.g., one form given at one time, the other form a week later) to also account for error due to condition (unsystematic error)
cons of parallel forms
more involved (time, resources)
split-half method
Splitting a test’s scores in half and creating 2 sets of scores (i.e., 2 Ms and SDs)
benefits of split-half method
convenient and efficient
cons of split-half method
inflated reliability values
Cronbach’s Alpha
A formula for estimating correlations among all test items
benefits of Cronbah’s Alpha
convenient and practical; SPSS calculates; widely used and accepted in psych research
These coefficient values might reflect poor construct validity
the test is reliable but doesn’t measure the construct accurately