EDUCATIONAL AND PSYCHOLOGICAL MEASUREMENT
EDUCATIONAL AND PSYCHOLOGICAL MEASUREMENT(英文缩写 EDUC PSYCHOL MEAS),ISSN 0013-1644,eISSN 1552-3888 是一本学术期刊。本页汇总该期刊的最新影响因子、分区信息以及最新收录于 PubMed 的文献,帮助您快速了解期刊全貌。
指标来源：jcr_cas_ifqb
期刊简介
暂无简介。
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EDUCATIONAL AND PSYCHOLOGICAL MEASUREMENT 最新收录文献
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A Note on Testing Mediated Effects in Structural Equation Models: Reconciling Past and Current Research on the Performance of the Test of Joint Significance.
Methods to assess the significance of mediated effects in education and the social sciences are well studied and fall into two categories: single sample methods and computer-intensive methods. A popul…
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Improving the Factor Structure of Psychological Scales: The Expanded Format as an Alternative to the Likert Scale Format.
Many psychological scales written in the Likert format include reverse worded (RW) items in order to control acquiescence bias. However, studies have shown that RW items often contaminate the factor s…
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Evaluating differential effects using regression interactions and regression mixture models.
Research increasingly emphasizes understanding differential effects. This paper focuses on understanding regression mixture models, a relatively new statistical methods for assessing differential effe…
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Modular Open-Source Software for Item Factor Analysis.
This paper introduces an Item Factor Analysis (IFA) module for OpenMx, a free, open-source, and modular statistical modeling package that runs within the R programming environment on GNU/Linux, Mac OS…
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Using Structural Equation Modeling to Assess Functional Connectivity in the Brain: Power and Sample Size Considerations.
The present study assessed the impact of sample size on the power and fit of structural equation modeling applied to functional brain connectivity hypotheses. The data consisted of time-constrained mi…
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Sample Size Requirements for Structural Equation Models: An Evaluation of Power, Bias, and Solution Propriety.
Determining sample size requirements for structural equation modeling (SEM) is a challenge often faced by investigators, peer reviewers, and grant writers. Recent years have seen a large increase in S…
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A Monte Carlo Comparison Study of the Power of the Analysis of Covariance, Simple Difference, and Residual Change Scores in Testing Two-Wave Data.
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Characterizing Sources of Uncertainty in IRT Scale Scores.
Traditional estimators of item response theory (IRT) scale scores ignore uncertainty carried over from the item calibration process, which can lead to incorrect estimates of standard errors of measure…
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Constrained Maximum Likelihood Estimation for Two-level Mean and Covariance Structure Models.
Maximum likelihood is commonly used for estimation of model parameters in analysis of two-level structural equation models. Constraints on model parameters could be encountered in some situations such…
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A New Stopping Rule for Computerized Adaptive Testing.
The goal of the current study was to introduce a new stopping rule for computerized adaptive testing. The predicted standard error reduction stopping rule (PSER) uses the predictive posterior variance…