Sport management research has evolved significantly despite its relatively short history as an academic discipline. Although the pace of scholarly progress has been impressive, the extent to which many research efforts have aided sport management in becoming a distinct academic discipline is, at times, questionable. A major challenge many scholars…

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…

Background/Context: The educational performance of Latina/o students in the United States is becoming a central concern in education policy and reform. In an attempt to explain variation in the academic achievement of Latina/o students, considerable sociological and economic research has emerged. Even though the contributions of these studies are…

This paper discusses how a seldom-used statistical procedure, recursive regression (RR), can numerically and graphically illustrate data-driven nonlinear relationships and interaction of variables. This routine falls into the family of exploratory techniques, yet a few interesting features make it a valuable compliment to factor analysis and…

Several themes which are common to both econometrics and psychometrics are surveyed. The themes are illustrated by reference to permanent income hypotheses, simultaneous equation models, adaptive expectations and partial adjustment schemes, and by reference to test score theory, factor analysis, and time-series models. (Author)

Remarkability is introduced as a quantifiable attribute of given data and as a basis upon which one may rationally judge its scientific value. Applications of remarkability theory to various research and statistical problems and procedures are discussed. (DG)

Similarities between regression analysis and analysis of variance are noted and it is argued that the former has advantages over the latter. It is also argued that canonical correlation analysis is more suitable than factor analysis in certain cases. The argument is illustrated with four recent pieces of educational research. (DG)

Common factor scores were compared to unfactored data-level variables as predictors in terms of the correlation of a criterion with the predicted value in multiple regression equations applied to replication (cross-validation) samples. (Editor)

The relative precision of four methods of estimating missing data in principal components analysis was investigated. Artificial data with known characteristics, obtained from Cattell's "Plasmode: 30-10-4-2," was used with one third of the data on half of the variables being systematically eliminated. The four methods of missing data estimation…

This study was concerned with various schemes for reducing the number of variables in a multivariate analysis. Two sets of illustrative data were used; the numbers of criterion groups were 3 and 5. The proportion of correct classifications was employed as an index of discriminatory power of each subset of variables selected. Of the four procedures…

To identify the determinants of satisfaction for managers, a Decremental Stepwise Multiple Regression analysis was run on the exempt employees in five companies. There were 27 predictor variables, each reflecting satisfaction with some specific aspect of work. The variable to be predicted was global satisfaction. It was expected that the…

This paper illustrates the transformation of a raw data matrix into a matrix of associations, and then into a factor matrix. Factor analysis attempts to distill the most important relationships among a set of variables, thereby permitting some theoretical simplification. In this heuristic data, a correlation matrix was derived to display…

Using a stepwise multiple regression analysis of data from a 1964-1965 national urban sample, the author identifies the social and demographic variables that best help to predict each of six factor-analytically derived dimensions of leisure activity. (Author/RM)

Using factor analysis, seven socioeconomic indicators and three information activity indicators (written communications, technology, and libraries) were derived to relate social and economic conditions in less developed countries with measures of information activity. Information activity variables are appended. (17 references) (EJS)

Multivariate analytic techniques offer useful research methods that permit the experiential educator to test theoretical models, analyze the effects of several variables acting together, and predict the effects of one set of variables upon another set of variables. Several of these techniques are discussed, including analysis of variance, multiple…