Despite a surge of empirical work on student participation in online learning environments, the causal links between the learning-related factors and processes with the desired learning outcomes remain unexplored. This study presents a systematic literature review of approaches to model learning in Massive Open Online Courses offering an analysis…

This review describes a meta-analysis of findings from 50 controlled evaluations of intelligent computer tutoring systems. The median effect of intelligent tutoring in the 50 evaluations was to raise test scores 0.66 standard deviations over conventional levels, or from the 50th to the 75th percentile. However, the amount of improvement found in…

In education research, small samples are common because of financial limitations, logistical challenges, or exploratory studies. With small samples, statistical principles on which researchers rely do not hold, leading to trust issues with model estimates and possible replication issues when scaling up. Researchers are generally aware of such…

Previous research has shown that treating dependent effect sizes as independent inflates the variance of the mean effect size and introduces bias by giving studies with more effect sizes more weight in the meta-analysis. This article summarizes the different approaches to handling dependence that have been advocated by methodologists, some of…

This article reviews critical discourse analysis scholarship in education research from 2004 to 2012. Our methodology was carried out in three stages. First, we searched educational databases. Second, we completed an analytic review template for each article and encoded these data into a digital spreadsheet to assess macro-trends in the field.…

The process of discriminant analysis is reviewed in four different aspects: focusing on formulations, interpretations, and uses of discrimination, estimation and classification. Other issues, problems, and recent developments in discriminant analysis are also reviewed. (Author/DEP)

Sections of this paper are: basic framework for the review; fundamentals of choosing contrasts in multivariate analysis of variance; principles and procedures for orthogonal and in nonorthogonal MANOVA; general problems and principles in the analysis of multivariate dependent variables. References. (Author/VW)

Statistical methods are discussed for studying relations between two sets of variables, when each set contains more than one variable. (Author)

An examination of the weaknesses of the common statistical approaches suggests that change scores are unnecessary and often even inappropriate for statistical studies. Alternative statistical procedures are suggested. (Author/VW)

Research focusing on the construct validation of self-concept (SC) within an educational framework is reviewed. Studies are categorized as within-network research and between-network research and further classified by methodological procedures. Although relationships among self-concept facets and academic achievement have been found, an overall SC…

This article shows how the methods of survival analysis (also known as event history analysis) lend themselves to the study of the timing of educational events. Using examples from teacher attrition and student dropout research, survival methods are introduced for building statistical models of the risk of event occurrence over time. (Author/SLD)