The purpose of the present investigation was to examine the role of self-perception in predicting performance of cooperative learning groups in graduate-level research methodology courses. A total of 29 groups was examined (n = 102 students), ranging in size from 2 to 7. A series of multiple regression analyses revealed that the groups attaining …

A method is presented for the construction of an artificial data set which will illustrate the behavior of the traditional, the negative, and the reciprocal suppressor variable in multiple regression analysis. It extends the method of Dayton (1972) and includes the previously reciprocal suppression defined by Conger (1974). (Author)

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)

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 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…

See EJ 030 570. (CK)

This study reports an attempt to explore within a heterogeneous population the pattern of influence which selected maternal traits exert on internal locus of control at age 5 years. Information on the relevant variables was retrieved from the computer-based data bank of the St. Louis Baby Study. The maternal traits used for prediction included the…

This overview of both quantitative and qualitative methods of educational forecasting is introduced by a discussion of a general typology of forecasting methods. In each of the following sections, discussion follows the same general format: a number of basic approaches are identified (e.g. extrapolation, correlation, systems modelling), and each…

If an effective school is defined as a school that causes student improvement on a number of important educational outcomes, the problem of identifying effective schools becomes one of establishing legitimate predictions of student performance and comparing those predictions to actual student or school outcomes. In attempting to identify effective…

The accuracy and variability of 4 cross-validation procedures and 18 formulas were compared concerning their ability to estimate the population multiple correlation and the validity of the sample regression equation in the population. The investigation included two types of regression, multiple and stepwise; three sample sizes, N = 30, 60, 120;…

Twenty-nine community characteristics were studied to determine which were statistically most useful as predictors of per-pupil Federal aid to the 169 school districts of Connecticut. Three regression models were developed using community traits as predictors of Federal aid allocations. Cross-validation of regression models to predict future…

Since the Bureau of Labor's cost-of-living statistics are available for only 40 standard metropolitan statistical areas (SMSAs) in four regions, the author presents a method to estimate family budgets for all SMSAs. Data for the calculations are easily accessible in Census and other government publications. (Author/KC)

Educational research on the factors of student achievement has been limited by its failure to consider the multilevel or hierarchical nature of most data. This study used a nonexperimental regression-based procedure, hierarchical linear modeling (HLM), to empirically develop a predictive model of fifth-grade achievement in reading and mathematics…

Statistical methods are described for diagnosing and treating three important problems in covariate tests of significance: curvilinearity, covariable effectiveness, and treatment-covariable interaction. Six major assumptions, prerequisites for covariate procedure, are discussed in detail: (1) normal distribution, (2) homogeneity of variances, (3)…

This article (1) examines the role of idiographic theory in contemporary personality assessment and behavioral prediction methodology, (2) reviews critically empirical studies designed to evaluate the idiographic theory of individual differences in predictability, and (3) presents new data on conclusions that have been advanced toward an…