This work proposes relevant ingredients to highlight the factors with significant impact on efficiency of research structures in higher education. The ingredients in question include methods and their implementation taking into account the choice and operationalization of factors as well as options of the retained methods. The methods employed in…

This meta-analytic study focused on the quantitative integration and synthesis of the accumulated pedagogical research in undergraduate statistics education literature. These accumulated research studies compared the academic achievement of students who had been instructed using one of the various forms of small-group learning methods to those who…

Despite the fundamental importance of research design processes to educational research projects, research design needs to be more intentional. The purpose of this study was to evaluate whether using an online learning resource and engaging in online discussion fostered learners' knowledge about educational research design and facilitated critical…

In a conjoint-analysis consumer-preference study, researchers must determine whether the product factor estimates, which measure consumer preferences, should be calculated and interpreted for each respondent or collectively. Multiple regression models can determine whether to aggregate data by examining factor-respondent interaction effects. This…

Multiple regression analysis (MRA) may be used when both continuous and categorical variables are included as independent research variables. The use of MRA with categorical variables involves dummy coding, that is, assigning zeros and ones to levels of categorical variables. Caution is urged in results interpretation. (Author/CH)

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)

This paper explains in user-friendly terms why multivariate statistics are so important in educational research. The basic logic of canonical correlation analysis is presented as a simple or bivariate Pearson "r" procedure. It is noted that all statistical tests implicitly involve the calculation of least squares weights, and that all…

The purpose of this report is to describe a process for creating unique multiple linear regression problems for each student. Three formulas were utilized to define intercorrelations between variables. (Editor)

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…

Using step-wise multiple regression analyses, regression equations were generated for sixty school age subjects with choice and stage of moral reasoning on moral dilemmas as the dependent variables. The implications of the findings for further research and curriculum were discussed. (Editor/RK)

A series of comments, corrections, and errata are presented regarding homogeniety of regression (see also EJ 001 198). (CK)

This book looks at quantitative research methods in education. The book is structured to start with chapters on conceptual issues and designing quantitative research studies before going on to data analysis. While each chapter can be studied separately, a better understanding will be reached by reading the book sequentially. This book is intended…

The applicability of a mathematical theorem designed to trace causality of a three-variable path that consists of an initial cause variable, an intermediate variable, and a final-effect variable with control over other system variables is evaluated. The formula was used with a horizontal rather than a normal distribution, as had been done in an…

A detailed review of the methodological shortcomings in Jencks' Inequality'' suggests that the policy recommendations implied in the book are not strongly supported. (Author/KM)

Reported research uses stepwise multiple regression analyses to generate regression equations for 60 school age subjects with choice of right action and stage of moral reasoning on moral dilemmas as the dependent variables. Age, IQ, socioeconomic status, awareness of consequences, empathy, and mean moral maturity scores were used as predictor…