Meta-analytic structural equation modeling (MASEM) refers to fitting structural equation models (SEMs) (such as path models or factor models) to meta-analytic data. Currently, fitting MASEMs may be challenging for researchers that are not accustomed to working with R software and packages. Therefore, we developed webMASEM; a web application for…

Structural equation modeling (SEM) is widely used in behavioral, social, and education research. Drawing publication-ready path diagrams for SEM is not a pleasant task with the existing software. The article introduces an open-source web-based graphical application, "semdiag," for drawing WYSIWYG SEM path diagrams interactively. The…

Aim/Purpose: This study explores the associations between elementary school learners' m-learning and learner satisfactions based on the technology-mediated learning model. Background: M-learning (mobile learning) is emerging, but its role in elementary education still needs clarification. Methodology: Questionnaires were mailed to several…

Presents methodological considerations in developing an automatic cheap algorithm for computerized path diagraming, gives some plotted results, and describes a program which produces the plots from an input matrix of path coefficients on a standard line printer. The program accommodates unidirectional and reciprocal causation and represents…

This overview of nonexperimental causal research methods focuses on latent variable structural equation modeling using the LISREL computer program. An extended example in special education is used to present LISREL as an extension of structural equations analysis (path analysis) and as a method of reducing the effects of error in research.…

Theory and research on a variety of topics in higher education are addressed in 13 articles. Titles and authors are as follows: "College Environmental Influences on Learning and Cognitive Development: A Critical Review and Synthesis" (Ernest T. Pascarella); "Learning Theory and Research" (Cameron Fincher); "Methods and…