Educational and Psychological Measurement
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Administrative problems such as computer malfunction and power outage occasionally lead to missing item scores and hence to incomplete data on mastery tests such as the AP and U.S. Medical Licensin...
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#1Chansoon Lee (LU: Liberty University)
#2Hong Qian (National Council of State Boards of Nursing)H-Index: 1
Using classical test theory and item response theory, this study applied sequential procedures to a real operational item pool in a variable-length computerized adaptive testing (CAT) to detect ite...
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#1Wilhelmina van Dijk (FSU: Florida State University)H-Index: 3
#2Christopher Schatschneider (FSU: Florida State University)H-Index: 69
Last. Sara A. Hart (FSU: Florida State University)H-Index: 23
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Complex research questions often need large samples to obtain accurate estimates of parameters and adequate power. Combining extant data sets into a large, pooled data set is one way this can be ac...
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#1David Goretzko (LMU: Ludwig Maximilian University of Munich)H-Index: 4
Determining the number of factors in exploratory factor analysis is arguably the most crucial decision a researcher faces when conducting the analysis. While several simulation studies exist that c...
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#1Ren Liu (UCM: University of California, Merced)H-Index: 6
#2Haiyan Liu (UCM: University of California, Merced)H-Index: 4
Last. Zhehan Jiang (PKU: Peking University)H-Index: 6
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Assessments with a large amount of small, similar, or often repetitive tasks are being used in educational, neurocognitive, and psychological contexts. For example, respondents are asked to recogni...
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#1Tenko Raykov (MSU: Michigan State University)H-Index: 36
#2Christine DiStefano (USC: University of South Carolina)H-Index: 25
A latent variable modeling-based procedure is discussed that permits to readily point and interval estimate the design effect index in multilevel settings using widely circulated software. The meth...
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#2Anne Corinne Huggins-Manley (UF: University of Florida)H-Index: 6
Last. Walter L. Leite (UF: University of Florida)H-Index: 21
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In data collected from virtual learning environments (VLEs), item response theory (IRT) models can be used to guide the ongoing measurement of student ability. However, such applications of IRT rel...
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Individual response style behaviors, unrelated to the latent trait of interest, may influence responses to ordinal survey items. Response style can introduce bias in the total score with respect to...
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#1James D. Weese (UA: University of Arkansas)
#2Ronna C. Turner (UA: University of Arkansas)H-Index: 10
Last. Xinya Liang (UA: University of Arkansas)H-Index: 6
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A simulation study was conducted to investigate the heuristics of the SIBTEST procedure and how it compares with ETS classification guidelines used with the Mantel–Haenszel procedure. Prior heurist...
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#1Lucia Guastadisegni (UNIBO: University of Bologna)
#2Silvia Cagnone (UNIBO: University of Bologna)H-Index: 9
Last. Vassilis G. S. Vasdekis (OPA: Athens University of Economics and Business)H-Index: 13
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This paper studies the Type I error, false positive rates, and power of four versions of the Lagrange Multiplier test to detect measurement non-invariance in Item Response Theory (IRT) models for binary data under model misspecification. The tests considered are the Lagrange Multiplier test computed with the Hessian and cross-product approach, the Generalized Lagrange Multiplier test and the Generalized Jackknife Score test. The two model misspecifications are those of local dependence among ite...
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