Discussion is one form of active learning, which has been linked to better learner outcomes. Little is known about the relationship between active learning through discussion and learner outcome in the online environment. Here, we construct an index of active learning online that includes the number of postings a student has read, the number of…

Demographic data were collected from 38 program directors in a university-based community service center and a control group of 62 other students not engaged in any service activity randomly selected at a large, urban, research university. A series of multiple regression analysis were conducted to identify significant predictors of students likely…

Astin's (1977, 1991, 1993) input-environment-outcome (I-E-O) model provided a conceptual framework for this study which measured 156 male college students' willingness to prevent rape (outcome variable). Predictor variables included personal attitudes (input variable), perceptions of close friends' attitudes toward rape and rape prevention…

This paper discusses Bayesian m-group regression where the groups are arranged in a two-way layout into m rows and n columns, there still being a regression of y on the x's within each group. The mathematical model is then provided as applied to the case where the rows correspond to high schools and the columns to colleges: the predictor variables…

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…

This study was designed to fill the need for empirically derived information to determine the most salient factors which differentiate street gang youths from youths in comparable neighborhoods who remain independent of the street gang. (Author)

The t ratio used in testing the difference between two independent regression coefficients is generalized to the multivariate case of testing the difference between two vectors of regression coefficients. This is particularly useful in determining which of two variables best predicts a number of criterion variables. (Author/JKS)

Data were simulated to conform to covariance patterns taken from personnel selection literature. Incomplete data matrices were treated by four methods. Treated matrices were subjected to multiple regression analyses. Resulting regression equations were compared to equations from original, complete data. Results supported using covariate…

Explains multiple regression, demonstrates its flexibility for analyzing data from various designs, and discusses interpretation of results from multiple regression analysis. Presents regression equations for single independent variable and for two or more independent variables, followed by a discussion of coefficients related to these. Compares…

The purpose of this study was to compare five predictor models, including two least-square procedures, two probability weighting (semi-Bayesian) methods, and a Bayesian model developed by Lindley. (See also TM 501 088, TM 501 089, and TM 501 090) (Author/NE)

The present study is the first phase of a longitudinal investigation designed to isolate non-intellective factors which might increase the power to predict academic success. (Author/RK)

The publication records of 2,205 holders of the Ph.D. in sociology are examined for the period 1940-70. The predictive efficiency of six independent variables is assessed via regression analysis. A seventh variable is used as a control. Results of the study and directions for future research are presented and discussed. (SM)

It was concluded that prediction of success in remedial mathematics courses can be made correctly 71 percent of the time using five select predictors: high school average, mathematics test score, attitude toward mathematics score, sentence test score, and mathematics interest score. (Author)

In the case of success-failure predictions, approximately 75 percent of those predicted to succeed did and 51 percent of those predicted to fail failed. (Editor)

Four commonly employed procedures were repeatedly applied to computer-simulated samples to provide comparative data pertaining to two questions: (a) which procedure can be expected to produce and equation that yields the most accurate predictions for the population, and (b) which procedure is most likely to identify the optimal set of independent…