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Kim, Minjung; Kwok, Oi-Man; Yoon, Myeongsun; Willson, Victor; Lai, Mark H. C. – Journal of Experimental Education, 2016
This study investigated the optimal strategy for model specification search under the latent growth modeling (LGM) framework, specifically on searching for the correct polynomial mean or average growth model when there is no a priori hypothesized model in the absence of theory. In this simulation study, the effectiveness of different starting…
Descriptors: Statistical Analysis, Growth Models, Simulation, Structural Equation Models
Marchand, Gwen C.; Gutierrez, Antonio P. – Journal of Experimental Education, 2017
The purpose of this study was to investigate the relations among perceived instructional support (provision of relevance and involvement), subjective task value beliefs (utility, attainment, and intrinsic value), and engagement (behavioral and emotional) over the course of a semester for graduate students enrolled in an introductory research…
Descriptors: Graduate Students, Learner Engagement, Student Attitudes, Beliefs
Müller, Bettina; Richter, Tobias; Križan, Ana; Hecht, Teresa; Ennemoser, Marco – Journal of Experimental Education, 2016
Reading strategy interventions relying upon peer tutoring are a common way to foster poor readers' comprehension skills. Those interventions are based on the assumption that tutees benefit from the (higher) reading skills of their tutors. However, this interpersonal effect has not yet been tested explicitly because the effectiveness of peer…
Descriptors: Reading Skills, Control Groups, Pretests Posttests, Peer Teaching
Leite, Walter L.; Stapleton, Laura M. – Journal of Experimental Education, 2011
In this study, the authors compared the likelihood ratio test and fit indexes for detection of misspecifications of growth shape in latent growth models through a simulation study and a graphical analysis. They found that the likelihood ratio test, MFI, and root mean square error of approximation performed best for detecting model misspecification…
Descriptors: Structural Equation Models, Simulation, Geometric Concepts, Sample Size
Hahs-Vaughn, Debbie L.; Lomax, Richard G. – Journal of Experimental Education, 2006
Complex survey designs often employ multistage cluster sampling designs and oversample particular units to ensure more accurate population parameter estimates. These issues must be accommodated in the analysis to ensure accurate parameter estimation. Incorporation of sample weights in some statistical procedures has been studied. However, research…
Descriptors: Structural Equation Models, Computation, Evaluation Research, Surveys