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…

Second language (L2) research relies heavily and increasingly on ANOVA (analysis of variance)-based results as a means to advance theory and practice. This fact alone should merit some reflection on the utility and value of ANOVA. It is possible that we could use this procedure more appropriately and, as argued here, other analyses such as…

Determining how learners use MOOCs effectively is critical to providing feedback to instructors, schools, and policy-makers on this highly scalable technology. However, drawing inferences about student learning outcomes in MOOCs has proven to be quite difficult due to large amounts of missing data (of various kinds) and to the diverse population…

The performance of information retrieval systems varies significantly by test topics. Even for those systems that have performed well on average, the results for some difficult topics are still poor. Previous studies have revealed that different optimization techniques should be used for those difficult topics. However, a prerequisite of the…

A meta-analysis by Tran, Sanchez, Arellano, and Swanson (2011) of the published RTI literature found that the magnitude of effect size (ES) between responders and low responders at posttest was significantly moderated by the pretest ES and the type of dependent measure administered, whereas no significant moderating effects were found in the mixed…

A common reason for not participating in intimate partner violence (IPV) research is thought to be fear for one's safety. However, little is known about those who do not participate due to safety fears. To better characterize this population, we investigated correlates of being "not safe" to answer the optional IPV module in the 2006…

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…

Velicer (1978) defines suppression situations in terms of the relations between part correlation and zero order validity. Conger (1974) defines suppressor in terms of regression weights. The present work clarifies the difference between the two approaches: Velicer's suppressor circumscribes only a subset of the suppression situations as defined by…

The perfunctory use of factor scores in conjunction with regression analysis is inappropriate for many purposes. It is suggested that factoring methods are most suitable for independent variable sets when some consideration has been given to the nature of the domain, which is implied by the predictors. (Author/BW)

Presents first of two-part editorial (second part to appear in next journal issue) proposing guidelines for developing useful tables to report multiple regression outcomes. Pays particular attention to situations where a hierarchical multiple regression analysis is guided by theory. Concludes that some conventional way to report multiple…

Limitations of dummy coding and nonsense coding as methods of coding categorical variables for use as predictors in multiple regression analysis are discussed. The combination of these approaches often yields estimates and tests of significance that are not intended by researchers for inclusion in their models. (SLD)

Compares approaches to modeling ordinal outcome variables, including assumptions, interpretations, and limitations. Explores how the multiple regression approach with ordinal level data can compromise the understanding of the effects of the independent variables and of the ordinal level response. Provides applications with data from a multisite…

This note proposes an alternative implementation of the regression method which should be slightly faster than the principal components methods for estimating missing data. (RC)

A method is proposed for overcoming the problem of multicollinearity in multiple regression equations where multiplicative independent terms are entered. The method is not a ridge regression solution. (JKS)