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…

Some IRT models can be equivalently modeled in alternative frameworks such as logistic regression. Logistic regression can also model time-to-event data, which concerns the probability of an event occurring over time. Using the relation between time-to-event models and logistic regression and the relation between logistic regression and IRT, this…

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…

The purpose of this article is to develop a statistical model that best explains variability in the number of school days suspended. Number of school days suspended is a count variable that may be zero-inflated and overdispersed relative to a Poisson model. Four models were examined: Poisson, negative binomial, Poisson hurdle, and negative…

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…

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…

This study investigated the effect of modeling procedures without direct reinforcement upon the acquisition of counseling behaviors. (Author)

The purpose of the present experiment was to further investigate the potential of the PA contingency as an academic motivational factor. (Author)

This paper presents the finding of an investigation for determining course achievement utilizing the statistical technique of path analysis. (Author)

It is the purpose of this paper to investigate the chance nature of overfit as it relates to a regression formulation of research, to describe a model for projecting the overfit, and to empirically validate the model. (Author)

Research Project at Utica College to identify potential college dropouts using the technique of Multiple Discriminant Analysis. (RY)

This report describes the investigators' experiences in the use of cluster and object-analysis techniques (BC-Tryon System) to test the variations in membership and curricular preferences of subgroups of students within a given class over a three-year period. (Editor)

This paper presents a number of inferential statistical models that may aid the operant investigator in presenting his data. (Author/RK)

The prupose of this study was to examine within a classroom the effects of adults modeling responses to moral situations with or without rule structure on responses of fifth graders. (Author)

Attempts to select empirically the optimal cutting score or criterion level for a test based on response data from validation samples of instructed and uninstructed students. This score maximizes the probability of correct mastery-nonmastery decisions (or minimizes the probability of incorrect decisions). (Author/RK)