TY - JOUR
AU1 - Vacha-Haase, Tammi
AB - Because tests are not reliable, it is important to explore score reliability in virtually all studies. The present article proposes and illustrates a new method-reliability generalization-that can be used in a meta-analysis application similar to validity generalization. Reliability generalization characterizes (a) the typical reliability of scores for a given test across studies, (b) the amount of variability in reliability coefficients for given measures, and (c) the sources of variability in reliability coefficients across studies. The use of reliability generalization is illustrated here by analyzing 87 reliability coefficients reported for the two scales of the Bem Sex Role Inventory (BSRI).
TI - Reliability Generalization: Exploring Variance in Measurement Error Affecting Score Reliability Across Studies
JF - Educational and Psychological Measurement
DO - 10.1177/0013164498058001002
DA - 1998-02-01
UR - https://www.deepdyve.com/lp/sage/reliability-generalization-exploring-variance-in-measurement-error-CGg2h0B0ew
SP - 6
EP - 20
VL - 58
IS - 1
DP - DeepDyve
ER -