The present research study has shown that minority and non-minority students taught by black and white teachers in a southeastern school district in the state of Texas understood more mathematical concepts and knowledge when taught by teachers of their own ethnic background. The present investigation is relevant because it sought to either refute…

Purpose: We examined the relationship between the quality indicator for decline in activities of daily living (ADL) and the use of the Minimum Data Set (MDS) for determining Medicaid skilled nursing facility reimbursement. Design and Methods: We conducted a cross-sectional analysis using the 2004 National MDS Facility Quality Indicator reports as…

This study explored the relationship between personal resources and previous adverse life events such as homelessness and depression. Participants were recruited from two church sponsored multisite social service centers in Anne Arundel County, Maryland. The interview included demographics and several standardized scales to assess history of…

The purpose of this study was to investigate possible factors that may affect academic achievement when instruction is delivered via podcast. Seventeen female Communication Sciences and Disorders students participated in this exploratory study conducted in the fall of 2006. Measurements of participants' individual differences on four variables…

Although several studies have been performed, Graduate Admissions programs are still encountering difficulties uncovering criteria that will predict academic success in their programs. Researchers have analyzed Executive, full and part-time MBA programs and can only conclude that undergraduate grade point average and the GMAT are significant…

This dissertation is a study of factors that contribute to dropout from distance learning classes in the Kentucky Community and Technical College System (KCTCS). It is divided into five chapters. Chapter One gives a history of distance learning through in KCTCS. It includes the background of the study, statement of the problem, purpose of the…

The underachievement of African American and Hispanic students has been an ongoing problem for schools in the United States. The purpose of this investigation was to add to the existing body of knowledge concerning social capital of African American and Hispanic high school students' academic achievement. Using a nationally representative sample…

Introduction: Premature withdrawal from university due to academic failure can present problems for students, families and educators. In an effort to widen the understanding regarding factors predicting academic success in higher institutions, prior academic achievement measures (preparatory school grade average point (GPA), aptitude test scores,…

This paper discusses how a seldom-used statistical procedure, recursive regression (RR), can numerically and graphically illustrate data-driven nonlinear relationships and interaction of variables. This routine falls into the family of exploratory techniques, yet a few interesting features make it a valuable compliment to factor analysis and…

Dominance analysis (DA) is a method used to compare the relative importance of predictors in multiple regression. DA determines the dominance of one predictor over another by comparing their additional R[squared] contributions across all subset models. In this article DA is extended to multivariate models by identifying a minimal set of criteria…

Illustrates the use of multiple regression analysis for computing conditional probabilities of occurrence of events based on the functional relationship between a dependent response variate and one or more independent predictors. (RC)

The cross-validated classification accuracies of three predictor weighting strategies (least squares, ridge regression, and reduced rank) were compared under varying simulated data conditions for the two-group classification problem. Results were somewhat similar to previous findings with multiple regression when absolute rather than relative…

The proposed method has the advantage of being a rational procedure which reduces the larger set of variables'' down to a desired subset of predictor variables. The selected subset, then, can be coded for a full regression run if it contains multiple level category variables among those selected. (Author)

A printout of the program and sample output will be provided by the authors upon request. (Authors/CB)

The perfunctory use of factor scores in conjunction with regression analysis is inappropriate for many purposes. It is suggested that factoring methods are most suitable for independent variable sets when some consideration has been given to the nature of the domain, which is implied by the predictors. (Author/BW)