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)

A method is developed for testing a priori multiple regression models. The method allows one to specify in advance as many unstandardized or standardized coefficients as one wants to and allows the remaining slopes to be free to vary. (Author/PN)

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)

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…

A key strength of latent curve analysis (LCA) is the ability to model individual variability in rates of change as a function of 1 or more explanatory variables. The measurement of time plays a critical role because the explanatory variables multiplicatively interact with time in the prediction of the repeated measures. However, this interaction…

A review of cross-validation shrinkage formulas is presented which focuses on the theoretical and practical problems in the use of various formulas. Practical guidelines for use of both formulas and empirical cross-validation are provided. A comparison of results using these formulas in a range of situations is then presented. The result of these…

The objective was to improve procedures for selecting entrants with better potential for (a) completing the Coast Guard Academy and (b) remaining on active duty after graduation beyond the mandatory five-year period. Stepwise multiple regression was applied to the information on 10 instruments to develop equations for predicting graduation. Five…

The study tests the appropriateness of multiplicative versus additive expectancy-valency models for grouping motivational force decisions of 82 undergraduate students. Arguments are offered favoring a non-nested regression models analysis over a traditional hierarchical analysis of nested regression models. Discriminant analysis indicated one of…

Results of stepwise regression analyses of text characteristics on learning scores revealed that the same characteristics which predict comprehension also predict new learning. (Author/MB)

It was concluded from the study that for prediction purposes the total School Motivation Analysis Test Integrated should be used. (Author)

See EJ 030 570. (CK)

Four approaches to prediction of learning success are described and discussed: the two-point model and the technique of multiple regression; the learning test model; the contingency model and the technique of time-series analysis; and the causally defined multipoint model and the technique of path analysis. (BW)

Presents the results of multiple regression analysis, test-retest analysis, reliability analysis, exploratory factor analysis, and confirmatory factor analysis of the Computer Attitude Scale in order to assess the instrument's predictive ability, construct validity, and reliability. Findings indicate acceptable characteristics, including stability…