Current Search:  Becker, Betsy Jane, 1956- (x)

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Impact of Multiple Endpoint Dependency on Q and I^2 in Meta-analysis
Combining Regression Slopes from Studies with Different Models in Meta-Analysis
Impact of Unbalanced Designs on the Performance of Parametric and Nonparametric DIF Procedures
Impact of Rater Variability on Relationships among Different Effect-Size Indices for Inter-Rater Agreement between Human and Automated             Essay Scoring
Effect of Population Shifts on Teacher Vam Scores
Four Methods for Combining Dependent Effects from Studies Reporting Regression Analysis
Comparison of Standard Error Methods in the Marginal Maximum Likelihood Estimation of the Two-Parameter Logistic Item Response Model When the Distribution of the Latent Trait Is Nonnormal
Critical Issues in Survey Meta-Analysis
Evaluating the Effectiveness of the Expectation-Maximization (EM) Algorithm for Bayesian Network Calibration
When Political Narratives Entertain
Performance of Cart-Based Value-Added Model Against Hlm, Multiple Regression, and Student Growth Percentile Value-Added Models
Investigating the Recovery of Latent Class Membership in the Mixture Rasch Modeling
Comparison of Three Approaches to Confidence Interval Estimation for Coefficient Omega
Within Study Dependence in Meta-Analysis
Integration of Automated Essay Scoring Systems into the Equating Process for Mixed-Format Tests
Meta-Analysis of Factor Analyses
Evaluation of Measurement Invariance in IRT Using Limited Information Fit Statistics/Indices
Modeling the Treatment Effect in Meta-Analysis When Combining Experimental and Correlational Studies
Investigating the Chi-Square-Based Model-Fit Indexes for WLSMV and ULSMV Estimators
Do Individual Differences in Attentional Control and Susceptibility to Distraction Predict Inattentional Blindness?
Impact of Group Affirmation on Environmental Message Acceptance, Risk Perception and Behavioral Intention
How Does Past Performance Impact Performance and Budget Allocation?
Dimensions of Undergraduate Research
Evaluation of Four Methods for Determining the Number of Factors Underlying Measurement Indicators under the Presence of Guessing Effects