Marketing graduates are ultimately expected to perform in managerial roles, yet limited course work is devoted to leadership training for marketing management. In the capstone marketing course, group projects with partner organizations can serve as an opportunity for student leadership development. Marketing students working in groups on…

The nation's generation of "Baby Boomers" is now the grandparents of a new generation of students known as "Gen Y" and "Gen Z," respectively. "Gen X," parents of our current students, have the enormous task of raising their children as "digital natives" in a technological-savvy world. The idea of…

The purpose of this study was to compare multiple regression with canonical analysis in order to introduce a new, policy relevant methodology to the literature on production functions. Findings from this study confirmed the results of past inquiries that found a relationship between the inputs to schooling and measures of student achievement. A…

Semipartial correlation is one of several ways of determining the relative importance of independent variables in a multiple regression analysis. A veteran teacher of statistics and related topics explains his reasons for avoiding semipartial correlations. (SV)

Correlation matrices involving linear dependencies are common in educational research. In such matrices, there is no unique solution for the multiple regression coefficients. Although computer programs using iterative techniques are used to overcome this problem, these techniques possess certain disadvantages. Accordingly, a modified Gauss-Jordan…

The purpose of this study is the empirical investigation of the variables embodied in Christie's measure of Machiavellianism. (Author)

This National Institute of Education report discusses problems of data aggregation and disaggregation which arise whenever the unit on which variables are measured is different from the unit of analytical, conceptual or policy-related interest. For example, researchers may want to know the effects of family background, of peer groups, or of school…

Virtually all parametric statistical procedures have been shown to be special cases of canonical correlation analysis, which is a useful research methodology particularly when augmented by the calculation of canonical structure, index, and invariance coefficients. A logic for conducting stepwise canonical correlation analysis based upon evaluation…

Two well known directional (one-tailed) tests of significance, mean difference and correlation coefficient, are presented within the multiple linear regression framework. Adjustments on the computed probability level are indicated. The case for a directional interaction research hypothesis is defended. Conservative adjustments on the computed…

This paper introduces a model for describing outliers (observations which are extreme in some sense or violate the apparent pattern of other observations) in linear regression which can be viewed as a mixture of a quadratic and a linear regression. The maximum likelihood estimators of the parameters in the model are derived and their asymptotic…

Distinguishes between multiple correlation and multiple regression analysis. Illustrates suggested information reporting methods and reviews the use of regression methods when dealing with problems of missing data. (SK)

A set of mathematical consistencies that forms conditions of inequality in a theorem is summarized, and a strategy for its application with real data is presented. The theorem and strategy are suggested for immediate use by the practitioner seeking cause-effect relationships in a system of variables to cut down guess work and time in analysis and…

Virtually all parametric statistical procedures have been shown to be special cases of canonical correlation analysis. This article proposes a logic for conducting stepwise canonical correlation analyses, based upon evaluation of canonical communality coefficients. The procedure is a direct analogue of stepwise multiple regression. (Author/RD)

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…