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…

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…

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…

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…

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…

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…

Multiple regression analysis is not beyond the reach of most researchers and research classes. It may prove beneficial to the communication researcher for a number of reasons. One of its most significant contributions to effective research is the utility of looking at several variables simultaneously. Another contribution of multiple regression…

Evaluation Research Society members (n=160) assessed the attributes of research that produce credibility. The study focused on the acceptability of no-difference findings. Randomization, statistical power, number of measures reported, and equivalent groups were tested to determine their influence on acceptability of both no-difference and…

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 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…

Addresses two related problems: what are the appropriate measures for comparing effects of blocks or compounds of variables (each block conceived as having a single effect) when the causal ordering is assumed to be known, and how can single measures be created for each such block or compound, so that the comparisons can be made. (Author/JM)

Educational research on the factors of student achievement has been limited by its failure to consider the multilevel or hierarchical nature of most data. This study used a nonexperimental regression-based procedure, hierarchical linear modeling (HLM), to empirically develop a predictive model of fifth-grade achievement in reading and mathematics…

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…

Multiple sources of complications in the analysis of multilevel educational data are described with emphasis on the determination of a method of analysis that will provide accurate estimates of teacher/class effects even when there are systematic differences in within-class regressions of outcome on input associated with teacher/class…

A strategy is proposed for dealing with educational research problems, using as an example a study based on data that had already been collected and using that data to discover how differences in school characteristics may result in differences in their students. The research method is based on concepts of analysis of covariance and is concerned…