Osborne and Waters (2002) focused on checking some of the assumptions of multiple linear regression. In a critique of that paper, Williams, Grajales, and Kurkiewicz correctly clarify that regression models estimated using ordinary least squares require the assumption of normally distributed errors, but not the assumption of normally distributed…

The conceptual structure account of semantic memory (CSA; L. K. Tyler & H. E. Moss, 2001) claims that feature correlation (the degree to which features co-occur) and feature distinctiveness (the number of concepts in which a feature occurs) interact with domains of knowledge (e.g., living vs. nonliving) such that the distinctive features of…

Correlation matrices and standard deviations are the building blocks of many of the commonly conducted analyses in published research, and AERA and APA reporting standards recommend their inclusion when reporting research results. The authors argue that the inclusion of correlation/covariance matrices, standard deviations, and means can enhance…

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)

Comments on Kerwin et al.'s article on covariance structure analysis (LISREL). Cautions that much effort must be made in developing the theory that describes the relationships among constructs and in establishing the measurement of these constructs before covariance structure is used. (ABB)

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)

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)

Reexamines M. Elizabeth Tidball's claim that women who graduate from women's colleges accomplish more than other, similar women who graduate from coeducational colleges. The authors believe Tidball's work is insensitive to class issues and argue that her approach does not control for other factors that might covary with whether the college is…

Regression formulations and related concerns involved in dealing with wage discrimination suits involving college faculty are considered. Several models based in hypothesis testing "policy capturing" uses of multiple linear regression are presented, and problems related to the court's view of statistical significance are examined.…

Argues that perception studies and ranking are lacking in validity and reliability because of small sample size, simplistic statistical analyses, and the evaluation of quality by educators. It is asserted that quality control is more valid when evaluated by the customers of education, i.e., the students. (11 references) (EA)

This book presents the results of 15 years of input-output (I-O) research on schooling effectiveness. The I-O approach identifies and measures the inschool and out-of-school factors that contribute to schooling outcomes, especially reading skills and verbal and mathematics achievement. Five categories of inputs are reviewed in this textbook: (1)…

A cross-national analysis was conducted to identify contextual influences that shape policies regarding the school-to-work transition and education-work linkages. The study's theoretical framework included principles based on technical-rational perspectives and neo-institutional perspectives. The study tested the following hypotheses: (1) schools…