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Shapiro, Jonathan – American Educational Research Journal, 1979
Contrary to Anderson (EJ 187 936), his rule for equation identification is a necessary but not sufficient condition; furthermore, the choice of two-stage or ordinary least squares depends on results and not on methodological properties of estimators. Modification of Anderson's rule and a means for choosing between estimates is offered. (Author/CP)
Descriptors: Algorithms, Educational Research, Least Squares Statistics, Mathematical Models

Nelson, Larry R. – Journal of Experimental Education, 1979
The authors state that multiple regression is a powerful method of statistical analysis, provides a strength of relationship index, and should replace analysis of variance (ANOVA) in educational research. They also discuss the coding of categorical variables and available computer programs for multiple regression. (Author/MH)
Descriptors: Analysis of Variance, Classification, Comparative Analysis, Computer Programs

Walsh, John; Winne, Philip H. – Journal of Educational Psychology, 1980
Data in Yarworth and Gauthier's article on student self- concept and participation in school activities (EJ 189 606) were reanalyzed by Walsh and Winne (TM 505 375). Yarworth and Gauthier's criticism of the reanalysis (TM 505 376) is answered. (GDC)
Descriptors: Extracurricular Activities, High Schools, Hypothesis Testing, Multiple Regression Analysis

Winne, Philip H.; Walsh, John – Journal of Educational Psychology, 1980
Yarworth and Gauthier (EJ 189 606) examined whether self-concept variables enhanced predictions about students' participation in school activities, using unstructured stepwise regression techniques. A reanalysis of their data using hierarchial regression models tested their hypothesis more appropriately, and uncovered multicollinearity and…
Descriptors: Extracurricular Activities, High Schools, Hypothesis Testing, Multiple Regression Analysis

Assor, Avi; And Others – Child Development, 1990
Addresses three issues concerning the assessment of the overrating and underrating of academic competence: (1) the impossibility of separating effects of overrating and underrating from effects of perceived and actual competence; (2) the questionable validity of Connell and Ilardi's method; and (3) the proposal of a new method and its implications…
Descriptors: Academic Ability, Achievement Rating, Analysis of Variance, Children