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Yesiltas, Gonca; Paek, Insu – Educational and Psychological Measurement, 2020
A log-linear model (LLM) is a well-known statistical method to examine the relationship among categorical variables. This study investigated the performance of LLM in detecting differential item functioning (DIF) for polytomously scored items via simulations where various sample sizes, ability mean differences (impact), and DIF types were…
Descriptors: Simulation, Sample Size, Item Analysis, Scores
Lee, Guemin; Lewis, Daniel M. – Educational and Psychological Measurement, 2008
The bookmark standard-setting procedure is an item response theory-based method that is widely implemented in state testing programs. This study estimates standard errors for cut scores resulting from bookmark standard settings under a generalizability theory model and investigates the effects of different universes of generalization and error…
Descriptors: Generalizability Theory, Testing Programs, Error of Measurement, Cutting Scores
Wang, Wen-Chung; Liu, Chih-Yu – Educational and Psychological Measurement, 2007
In this study, the authors develop a generalized multilevel facets model, which is not only a multilevel and two-parameter generalization of the facets model, but also a multilevel and facet generalization of the generalized partial credit model. Because the new model is formulated within a framework of nonlinear mixed models, no efforts are…
Descriptors: Generalization, Item Response Theory, Models, Equipment

Henson, Robin K.; Hwang, Dae-Yeop – Educational and Psychological Measurement, 2002
Conducted a reliability generalization study of Kolb's Learning Style Inventory (LSI; D. Kolb, 1976). Results for 34 studies indicate that internal consistency and test-retest reliabilities for LSI scores fluctuate considerably and contribute to deleterious cumulative measurement error. (SLD)
Descriptors: Error of Measurement, Generalization, Meta Analysis, Reliability

Capraro, Mary Margaret; Capraro, Robert M.; Henson, Robin K. – Educational and Psychological Measurement, 2001
Submitted the Mathematics Anxiety Rating Scale (MARS) (F. Richardson and R. Suinn, 1972) to a reliability generalization analysis to characterize the variability of measurement error in MARS scores across administrations and identify characteristics predictive of score reliability variations. Results for 67 analyses generally support the internal…
Descriptors: Error of Measurement, Generalization, Mathematics Anxiety, Reliability

Henson, Robin K.; Kogan, Lori R.; Vacha-Haase, Tammi – Educational and Psychological Measurement, 2001
Studied sources of measurement error variance in the Teacher Efficacy Scale (TES) (Gibson and Dembo, 1984). Used reliability generalization to characterize the typical score reliability for the TES and potential sources of measurement error variance across 43 studies. Also examined related instruments for measurement integrity. (SLD)
Descriptors: Error of Measurement, Generalization, Meta Analysis, Psychometrics

Vacha-Haase, Tammi – Educational and Psychological Measurement, 1998
Proposes a new method, reliability generalization, for meta-analysis. Reliability generalization characterizes the typical reliability of scores for a test across studies, the amount of variability in reliability coefficients, and the sources of this variability. Analysis of 87 reliability coefficients for two scales of the Bem Sex Role Inventory…
Descriptors: Error of Measurement, Generalization, Meta Analysis, Reliability

Capraro, Robert M.; Capraro, Mary Margaret – Educational and Psychological Measurement, 2002
Submitted the Myers-Briggs Type Indicator (MBTI) to a descriptive reliability generalization analysis to characterize the variability of measurement error in MBTI scores across administrations. In general the MBTI and its scales yielded scores with strong internal consistency and test-retest reliability estimates. (SLD)
Descriptors: Error of Measurement, Generalization, Meta Analysis, Personality Assessment

Yin, Ping; Fan, Xitao – Educational and Psychological Measurement, 2000
Performed a meta-analysis of reliability estimates for Beck Depression Inventory (BDI) (A. Beck and others, 1961) scores across studies. Only 7.5% of studies reviewed (n=1,200) reported meaningful reliability estimates. Analysis results suggest that standard errors of measurement should be considered in addition to reliability estimates when…
Descriptors: Depression (Psychology), Error of Measurement, Estimation (Mathematics), Generalization