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Egamaria Alacam; Craig K. Enders; Han Du; Brian T. Keller – Grantee Submission, 2023
Composite scores are an exceptionally important psychometric tool for behavioral science research applications. A prototypical example occurs with self-report data, where researchers routinely use questionnaires with multiple items that tap into different features of a target construct. Item-level missing data are endemic to composite score…
Descriptors: Regression (Statistics), Scores, Psychometrics, Test Items
Bhatia, Sudeep – Journal of Experimental Psychology: Learning, Memory, and Cognition, 2017
Preferences are influenced by the presence or absence of salient choice options, known as reference points. This behavioral tendency is traditionally attributed to the loss aversion and diminishing sensitivity assumptions of prospect theory. In contrast, some psychological research suggests that reference dependence is caused by attentional biases…
Descriptors: Comparative Analysis, Learning Theories, Preferences, Attention
Rhodes, William – Evaluation Review, 2010
Regressions that control for confounding factors are the workhorse of evaluation research. When treatment effects are heterogeneous, however, the workhorse regression leads to estimated treatment effects that lack behavioral interpretations even when the selection on observables assumption holds. Regressions that use propensity scores as weights…
Descriptors: Evaluation Research, Computation, Evaluators, Regression (Statistics)
Conijn, Judith M.; Emons, Wilco H. M.; van Assen, Marcel A. L. M.; Sijtsma, Klaas – Multivariate Behavioral Research, 2011
The logistic person response function (PRF) models the probability of a correct response as a function of the item locations. Reise (2000) proposed to use the slope parameter of the logistic PRF as a person-fit measure. He reformulated the logistic PRF model as a multilevel logistic regression model and estimated the PRF parameters from this…
Descriptors: Monte Carlo Methods, Patients, Probability, Item Response Theory
Ham, Ok Kyung; Lee, Young Ja – Journal of School Health, 2007
Background: Smoking is popular among Korean male high school adolescents, with the prevalence of 20.7% differing markedly with the type of school, being 16.3% and 27.6% in academic and vocational technical high schools, respectively. The purpose of this study was to identify significant variables that predict stages of smoking cessation among…
Descriptors: Vocational High Schools, Smoking, Metropolitan Areas, Predictor Variables

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