The purpose of this research is to investigate the relationship between computer technology's role and students' perceptions about course effectiveness. Students from two universities (one Canadian, n = 1465; one American, n = 831) completed a 71-item questionnaire addressing different aspects of their learning experience in a given course. Factor…

The purpose of this study is to investigate the effect of college on student goals and aspirations, in addition to identifying the determinants of overall quality of instruction, satisfaction with college in general, and the predictors of various aspects of student self-reported growth (intellectual, personal, social, preparation for further…

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…

Problems encountered in teaching multiple linear regression forecasting are described, and methods of dealing with such problems are outlined. Problems discussed include: (1) the irrelevance of instructional exercises, (2) data base sizing as a major area of regression "unreality", (3) difficulties in locating or using actual data, (4) neglect of…

The importance of the method given in the body of this article is that it presents Tukey's test in a greatly simplified form for the applied researcher. (Author)

Hierarchial causal models are described as pictorial representations of multiple regression equations. These models are particularly helpful for three reasons: (1) the formulation of problems in a path analytic framework forces a degree of explicitness that is often not present in research reports that rely solely on regression; (2) they provide a…

A relatively new area of psychological investigation is the identification of biographical and psychological variables which contribute to an individual's decision to move from or to stay in a geographical area. This study is an attempt to utilize biographical and psychological data on 50 college students in a multiple linear regression to predict…

Correlation matrices involving linear dependencies are common in educational research. In such matrices, there is no unique solution for the multiple regression coefficients. Although computer programs using iterative techniques are used to overcome this problem, these techniques possess certain disadvantages. Accordingly, a modified Gauss-Jordan…

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)

Commentary is presented on the preceding articles in this issue of the journal. Critical commentary is made article by article, and some general recommendations are made. (See TM 503 664 through 670). (JKS)

The problem of selecting regression variables using cost criteria is considered. A method is presented which approximates the optimal solution of one of several criterion functions which might be employed. Examples are given and the results are compared with the results of other methods. (Author/JKS)

Researchers have generally assumed overall job satisfaction to be an additive function of weighted job satisfaction facet scores. This paper considers the linear compensatory model as well as two nonlinear alternatives. Available from: Ramon J. Aldag, University of Wisconsin, 1155 Observatory Drive, Madison, Wisconsin 53706. (Author)

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…