Abstract
Reliability is a property of test scores from individuals who have been sampled from a well-defined population. Reliability indices, such as coefficient α and related formulas for internal consistency reliability (KR-20, Hoyt's reliability), yield lower bound reliability estimates when (a) subjects have been sampled from a single population and when (b) test items are congeneric (i.e., when items are sampled from a single latent dimension). However, when samples are commingled-that is, when they are composed of scores that are drawn from multiple populations- coefficient α and related indices can be severely biased. In most cases the bias inflates α; in other cases α is attenuated. Equations are derived for elucidating this bias in two-group mixture distributions.
Original language | English (US) |
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Pages (from-to) | 211-223 |
Number of pages | 13 |
Journal | Applied Psychological Measurement |
Volume | 32 |
Issue number | 3 |
DOIs | |
State | Published - May 2008 |
Keywords
- Coefficient alpha
- Measurement bias
- Reliability