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Xiao, Leifeng; Hau, Kit-Tai – Applied Measurement in Education, 2023
We compared coefficient alpha with five alternatives (omega total, omega RT, omega h, GLB, and coefficient H) in two simulation studies. Results showed for unidimensional scales, (a) all indices except omega h performed similarly well for most conditions; (b) alpha is still good; (c) GLB and coefficient H overestimated reliability with small…
Descriptors: Test Theory, Test Reliability, Factor Analysis, Test Length
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Lee, Guemin; Lee, Won-Chan – Applied Measurement in Education, 2016
The main purposes of this study were to develop bi-factor multidimensional item response theory (BF-MIRT) observed-score equating procedures for mixed-format tests and to investigate relative appropriateness of the proposed procedures. Using data from a large-scale testing program, three types of pseudo data sets were formulated: matched samples,…
Descriptors: Test Format, Multidimensional Scaling, Item Response Theory, Equated Scores
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Eignor, Daniel R.; And Others – Applied Measurement in Education, 1990
Two independent replications of a sequence of simulations were conducted to aid in the diagnosis and interpretation of equating differences found between representative (random) and matched (nonrandom) samples for three commonly used conventional observed-score equating procedures and one item-response-theory-based equating procedure. (SLD)
Descriptors: Equated Scores, Item Response Theory, Sampling, Simulation
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Bolt, Daniel M. – Applied Measurement in Education, 1999
Examined whether the item response theory (IRT) true-score equating method is more adversely affected by the presence of multidimensionality than two conventional equating methods, linear and equipercentile equating. Results of two simulation studies suggest that the IRT method performs as well as the conventional methods when the correlation…
Descriptors: Correlation, Equated Scores, Item Response Theory, Simulation
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Gierl, Mark J.; Gotzmann, Andrea; Boughton, Keith A. – Applied Measurement in Education, 2004
Differential item functioning (DIF) analyses are used to identify items that operate differently between two groups, after controlling for ability. The Simultaneous Item Bias Test (SIBTEST) is a popular DIF detection method that matches examinees on a true score estimate of ability. However in some testing situations, like test translation and…
Descriptors: True Scores, Simulation, Test Bias, Student Evaluation