Presents a general class of single-case statistical procedures derived from previously developed nonparametric randomization tests. Designs are illustrated that focus on the general and comparative effectiveness of alternative interventions, multiple units with differentiable characteristics, and multiple outcome measures. Provides operational…

Researchers often have one or more theories or expectations with respect to the outcome of their empirical research. When researchers talk about the expected relations between variables if a certain theory is correct, their statements are often in terms of one or more parameters expected to be larger or smaller than one or more other parameters.…

This book provides a clear introduction to widely used topics in bivariate and multivariate statistics, including multiple regression, discriminant analysis, MANOVA, factor analysis, and binary logistic regression. The approach is applied and does not require formal mathematics; equations are accompanied by verbal explanations. Students are asked…

This quantitative study uses data from North Carolina to examine the extent to which survey based perceptions of working conditions are predictive of policy-relevant outcomes, independent of other school characteristics such as the demographic mix of the school's students. Working conditions emerge as highly predictive of teachers' stated…

This study examined the factors that are associated with teacher classroom management with regard to training, attitudes and beliefs, and intervention practices of general and special education teachers in dealing with classroom control. These factors were examined in general and special education classrooms. The participants for this study were…

Per definition, CSCL research deals with the data of individuals nested in groups, and the influence of a specific learning setting on the collaborative process of learning. Most well-established statistical methods are not able to analyze such nested data adequately. This article describes the problems which arise when standard methods are…

This paper seeks to advance our understanding of the drop-out behavior of students in higher education. Our results are based on longitudinal data for 7000 students who embarked on short and long programs from one university in Spain and who were observed over an eight-year period ending in 2004. The statistical analysis is carried out in a…

When a simple random sample of size n is employed to establish a classification rule for prediction of a polytomous variable by an independent variable, the best achievable rate of misclassification is higher than the corresponding best achievable rate if the conditional probability distribution is known for the predicted variable given the…

Researchers persist in using stepwise regression in spite of problems with this approach. As noted by B. Thompson (1995), three problems accompany the use of stepwise applications. The first is that computer packages may use incorrect degrees of freedom in their computations, resulting in a greater likelihood of obtaining a spurious statistical…

In assessing educational equity among school districts, according to the authors, researchers should control for differences across districts in the prices of educational inputs. This paper tests a suggested index for one educational input, teacher salaries. The suggested teacher-salary index, based on a supply-and-demand model using 12 demand and…

Three experiments were undertaken to examine the processing limitations that underlie multiple task performance and, ultimately, to test the theory that there exists a time-sharing ability which is general and can be assessed through the simultaneous presentation of any two or more sufficiently demanding tasks. Subjects were males and/or females…

A stepwise canonical procedure, including two selection indices for variable deletion and a rule for stopping the iterative procedure, was derived as a method of selecting core variables from predictors and criteria. The procedure was applied to simulated data varying in the degree of built in structures in population correlation matrices, number…

The purpose of this paper is to demonstrate the use of the general linear model (GLM) in problems with repeated measures on a dependent variable. Such problems include pretest-posttest designs, multitrial designs, and groups by trials designs. For each of these designs, a GLM analysis is demonstrated wherein full models are formed and restrictions…

Double-entry expectancy tables are used to make admissions, guidance, or employment decisions based on two predictors. Examples of their use in showing relationships between high school and college performance are explained. The advantages of double-entry expectacy tables given are: (1) relative simplicity of preparation requiring no formal…

This study involved two phases: first when classification was based on the calibration sample, and second in a cross-validation setting. Computer-generated data were used. Results obtained from rules based on probabilities of group membership were compared for accuracy when classifying in the discriminant space and in the predictor variable…