The research problem addressed in this study was the lack of trust between faculty-principal, faculty-client, and faculty-colleague in U.S. secondary schools. The purpose of the study was to determine the relationship between communicator styles and perceptions of trust. Organizational trust theory served as the theoretical foundation. A…

Factor scale scores are sometimes used as weights to create composite variables representing the variables included in a factor analysis. If these composite variables are then used to predict some dependent variable, serious theoretical and methodological problems arise. This paper explores these problems and suggests strategies for circumventing…

The value of variance is emphasized, and the element of design, frequently not adequately understood, is clarified to underscore the importance of variance to the researcher. Two analytic methods, analysis of variance (ANOVA) and multiple regression, are discussed in terms of how each uses/applies variance. Advantages and major difficulties with…

Kaufman and Sweet's article on the regression analysis of unbalanced factorial designs (EJ 111 767) is reviewed. A number of errors are noted, and relevant literature is cited. (GDC)

Problems associated with the use of gain scores, analysis of covariance, multicollinearity, part and partial correlation, and the lack of rectilinearity in regression are discussed. Particular attention is paid to the misuse of statistical techniques. (JKS)

This interim report is concerned with the analysis of educational experiments and quasiexperiments where alternative teaching methods are applied to intact classes or where alternative programs are set up in samples of schools or communities. Generally, such studies have used the class, the school, or the community as the unit of sampling with the…

The author examined the prevalence of multiple operational definitions of outcome constructs and an estimate of the incidence of Type I error rates when univariate procedures were applied to multiple variables in educational psychology. Multiple operational definitions of constructs were advocated and wider use of multivariate analysis was…

The effects of using different data analysis methods on estimates of treatment effects of educational programs were investigated. Various regression models, such as those recommended for Title I program evaluations, were studied. The first effect studied was the amount of bias that might be expected to occur in the various settings. Results…

The present paper contributes to research methodology as practiced in the field by providing practitioners with a concise statement of the problems in analyzing unbalanced designs, and by clarifying the conditions under which the analysis alternatives are most appropriate. The purposes of the present paper are: (1) to examine the analysis…

With even the simplest bivariate regression, least-squares solutions are inappropriate unless one assumes a priori that reciprocal effects are absent, or at least implausible. While this discussion is limited to bivariate regression, the issues apply equally to multivariate regression, including stepwise regression. (Author/CTM)

The degree to which the chosen units of analysis are likely to produce spurious findings in staged combinations of multiple linear regression procedures are examined. The effects of grouping variables (e.g., classroom, school, and school district) on Procedures such as Coleman's semipartial regression and Mayeske's commonalities, in light of…

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)

This self-contained and self-instructional unit is intended for use by evaluation and development personnel and by students in introductory research and evaluation courses. The unit contains a discussion of the regression employing graphic illustrations with actual data. The user is introduced to the regression effect in the single group…

A Type VI error results from inconsistency between the researchers' question of interest and the statistical procedures employed to analyze the data. An example of a research problem is analyzed to show the increase in statistical power resulting from improved research design, using multiple regression instead of analysis of variance. (CTM)

Winne and Walsh's Reanalysis (EJ 229 157) of Gauthier and Yarworth's study of self-concept and participation in high school activities (EJ 189 606) is addressed, particularly with respect to the statistical techniques used. The intentions of the original article are also clarified. (GDC)