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Schafer, William D. – Measurement and Evaluation in Counseling and Development, 1991
Presents first of two-part editorial (second part to appear in next journal issue) proposing guidelines for developing useful tables to report multiple regression outcomes. Pays particular attention to situations where a hierarchical multiple regression analysis is guided by theory. Concludes that some conventional way to report multiple…
Descriptors: Multiple Regression Analysis, Regression (Statistics), Research Problems, Tables (Data)

Jones, Molly M.; Jackson, Kirby L. – Journal of Early Intervention, 1992
This paper encourages the use of multiple logistic analysis in early intervention research, to assess the degree of association of multiple factors (such as subject or situational characteristics) with a dichotomous outcome (such as benefitting or not benefitting from an intervention) and to estimate the probability of each outcome. (JDD)
Descriptors: Disabilities, Early Intervention, Multiple Regression Analysis, Prediction
Thayer, Jerome D. – 1986
The stepwise regression method of selecting predictors for computer assisted multiple regression analysis was compared with forward, backward, and best subsets regression, using 16 data sets. The results indicated the stepwise method was preferred because of its practical nature, when the models chosen by different selection methods were similar…
Descriptors: Comparative Analysis, Computer Simulation, Mathematical Models, Multiple Regression Analysis
Morris, John D. – 1986
An empirical method called Predicted Error Sum of Squares (PRESS) is advanced and studied. This method is used to examine the cross-validated prediction accuracies of some popular algorithms for weighted predictor variables. The weighting methods that were considered were ordinary least squares, ridge regression, regression on principal…
Descriptors: Algorithms, Least Squares Statistics, Measurement Techniques, Minicomputers

Hengstler, Dennis D.; McLaughlin, Gerald W. – New Directions for Institutional Research, 1985
The number of regression studies being employed in sex discrimination cases is increasing. The need for caution in the case of multiple regression must be emphasized. Statistical concerns in sex discrimination cases are highlighted. (MLW)
Descriptors: Court Litigation, Higher Education, Institutional Research, Multiple Regression Analysis

Maeshiro, Asatoshi – Journal of Economic Education, 1996
Rectifies the unsatisfactory textbook treatment of the finite-sample proprieties of estimators of regression models with a lagged dependent variable and autocorrelated disturbances. Maintains that the bias of the ordinary least squares estimator is determined by the dynamic and correlation effects. (MJP)
Descriptors: Causal Models, Correlation, Economics Education, Heuristics
Arnold, Carolyn L.; Kaufman, Phillip D. – 1992
This report examines the effects of both student and school characteristics on mathematics and science achievement levels in the third, seventh, and eleventh grades using data from the 1985-86 National Assessment of Educational Progress (NAEP). Analyses feature hierarchical linear models (HLM), a regression-like statistical technique that…
Descriptors: Academic Achievement, Cultural Differences, Elementary Secondary Education, Grade 11
Bird, Ronald E. – 1985
This paper describes an initial effort to provide a carefully reasoned, factually based, systematic analysis of teacher pay in comparison to pay in other occupations available to college-educated workers. It also reports on the sensitivity of these salary comparison estimates to differences in certain characteristics of the labor force, such as…
Descriptors: Comparative Analysis, Demography, Economic Research, Educational Economics