We describe best practices in reporting reliability estimates in counseling research with consideration to precision, generalization, and diverse populations. We provide a historical context to reporting reliability estimates, the limitations of past practices, and new methods to address reliability generalization. We highlight best practices…

This chapter introduces three applications of Bayesian inference to common and novel issues in second language research. After a review of the critiques of conventional hypothesis testing, our focus centers on ways Bayesian inference can be used for dealing with missing data, for testing theory-driven substantive hypotheses without a default null…

Structural equation modeling (SEM) is now a generic modeling framework for many multivariate techniques applied in the social and behavioral sciences. Many statistical models can be considered either as special cases of SEM or as part of the latent variable modeling framework. One popular extension is the use of SEM to conduct linear mixed-effects…

Reviews issues, raised in part because of "Educational and Psychological Measurement" (EPM) policies, regarding "test reliability," which is psychometric terminology, and "score reliability," score-centric terminology. Discusses datametrics and provides a critique of T. Vacha-Haase's proposed meta-analytic reliability generalization via…

Responds to criticisms of some "Educational and Psychological Measurement" policies and the reliability generalization meta-analytic methods of T. Vacha-Haase. Explores consequences of misunderstanding score reliability. (SLD)

Discusses reliability issues in light of recent studies and debates focused on psychometrics versus datametrics terminology and reliabilities generalization. Discusses the way multiple perspectives on score reliability may affect research practice, editorial policies, and reliability generalization across studies. (SLD)

Presents 40 questions, commentaries, and rebuttals on the generalizability of validities of employment tests of cognitive abilities and meta analysis. (BL)

Researchers consistently fail to report reliability estimates for data used in their studies. This lack of reporting hinders appropriate evaluation and interpretation of data and may lead to inappropriate conclusions. Because reliability is inured to scores obtained from a test, and not the test itself, it is important to report score reliability…

In this article we discuss two impediments to widespread adoption and implementation of cognitive-behavioral intervention (CBI) procedures by teachers of students with behavior disorders. First, its principles can be difficult, even for researchers and other specialists. Second, despite ample demonstration that teachers can be taught CBI…