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Dekle, Dawn J.; Leung, Denis H. Y.; Zhu, Min – Psychological Methods, 2008
Across many areas of psychology, concordance is commonly used to measure the (intragroup) agreement in ranking a number of items by a group of judges. Sometimes, however, the judges come from multiple groups, and in those situations, the interest is to measure the concordance between groups, under the assumption that there is some within-group…
Descriptors: Item Response Theory, Statistical Analysis, Psychological Studies, Evaluators
Enders, Craig K.; Tofighi, Davood – Psychological Methods, 2007
Appropriately centering Level 1 predictors is vital to the interpretation of intercept and slope parameters in multilevel models (MLMs). The issue of centering has been discussed in the literature, but it is still widely misunderstood. The purpose of this article is to provide a detailed overview of grand mean centering and group mean centering in…
Descriptors: Predictor Variables, Item Response Theory, Statistical Analysis, Research
Courvoisier, Delphine S.; Eid, Michael; Nussbeck, Fridtjof W. – Psychological Methods, 2007
Extensions of latent state-trait models for continuous observed variables to mixture latent state-trait models with and without covariates of change are presented that can separate individuals differing in their occasion-specific variability. An empirical application to the repeated measurement of mood states (N = 501) revealed that a model with 2…
Descriptors: Psychological Patterns, Simulation, Structural Equation Models, Sample Size
Emons, Wilco H. M.; Sijtsma, Klaas; Meijer, Rob R. – Psychological Methods, 2005
Person-fit statistics test whether the likelihood of a respondent's complete vector of item scores on a test is low given the hypothesized item response theory model. This binary information may be insufficient for diagnosing the cause of a misfitting item-score vector. The authors propose a comprehensive methodology for person-fit analysis in the…
Descriptors: Evaluation Methods, Item Response Theory, Evaluation Research, Goodness of Fit
Schermelleh-Engel, Karin; Keith, Nina; Moosbrugger, Helfried; Hodapp, Volker – Psychological Methods, 2004
An extension of latent state-trait (LST) theory to hierarchical LST models is presented. In hierarchical LST models, the covariances between 2 or more latent traits are explained by a general 3rd-order factor, and the covariances between latent state residuals pertaining to different traits measured on the same measurement occasion are explained…
Descriptors: Measurement Techniques, Statistical Analysis, Error of Measurement, Test Anxiety

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