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Shero, Jeffrey A.; Al Otaiba, Stephanie; Schatschneider, Chris; Hart, Sara A. – Journal of Experimental Education, 2022
Many of the analytical models commonly used in educational research often aim to maximize explained variance and identify variable importance within models. These models are useful for understanding general ideas and trends, but give limited insight into the individuals within said models. Data envelopment analysis (DEA), is a method rooted in…
Descriptors: Data Analysis, Educational Research, Nonparametric Statistics, Efficiency
Lee, Young Ri; Hong, Sehee – Journal of Experimental Education, 2019
The present study examines bias in parameter estimates and standard error in cross-classified random effect modeling (CCREM) caused by omitting the random interaction effects of the cross-classified factors, focusing on the effect of a sample size within cells and ratio of a small cell. A Monte Carlo simulation study was conducted to compare the…
Descriptors: Interaction, Models, Sample Size, Monte Carlo Methods
Kadengye, Damazo T.; Ceulemans, Eva; Van Den Noortgate, Wim – Journal of Experimental Education, 2015
In educational environments, monitoring persons' progress over time may help teachers to evaluate the effectiveness of their teaching procedures. Electronic learning environments are increasingly being used as part of formal education and resulting datasets can be used to understand and to improve the environment. This study presents…
Descriptors: Electronic Learning, Educational Environment, Longitudinal Studies, Item Response Theory
Li, Jian; Lomax, Richard G. – Journal of Experimental Education, 2011
Users assume statistical software packages produce accurate results. In this article, the authors systematically examined Statistical Package for the Social Sciences (SPSS) and Statistical Analysis System (SAS) for 3 analysis of variance (ANOVA) designs, mixed-effects ANOVA, fixed-effects analysis of covariance (ANCOVA), and nested ANOVA. For each…
Descriptors: Social Sciences, Computer Software, Statistical Analysis, Models

Field, Timothy F. – Journal of Experimental Education, 1973
This study investigated the effect of modeling procedures without direct reinforcement upon the acquisition of counseling behaviors. (Author)
Descriptors: Counseling, Data Analysis, Methods, Models

Nation, Jack R.; And Others – Journal of Experimental Education, 1974
The purpose of the present experiment was to further investigate the potential of the PA contingency as an academic motivational factor. (Author)
Descriptors: Academic Achievement, Anxiety, Data Analysis, Methods