Latent class analysis (LCA) refers to techniques for identifying groups in data based on a parametric model. Examples include mixture models, LCA with ordinal indicators, and latent class growth analysis. Despite its popularity, there is limited guidance with respect to decisions that must be made when conducting and reporting LCA. Moreover, there…

The purpose of this study is to examine the factors that influence pre-service teachers' perceived usefulness of an Information and Communication Technology (ICT) course that was conducted using the student-centred learning (SCL) approach. In this study, perceived usefulness was used as the dependent variable and perceived competence, course…

This book provides a uniquely accessible introduction to multilevel modeling, a powerful tool for analyzing relationships between an individual level dependent variable, such as student reading achievement, and individual-level and contextual explanatory factors, such as gender and neighborhood quality. Helping readers build on the statistical…

This paper assesses the construct validity of the dimensions of teaching presence, one of three types of presence articulated in Garrison, Anderson, and Archer's [Garrison, D.R., Anderson, T., and Archer, W. (2000). "Critical inquiry in a text-based environment: Computer conferencing in higher education." "The Internet and higher education", 2,…

Guidelines for learning and teaching structural equation modeling (SEM) in doctoral-level social work educational programs are offered. Essential ingredients of an introductory course, successful and unsuccessful methods of instruction, practical course organization, and integration of the material into the doctoral curriculum are discussed.…