Measurement equivalence: A non-technical primer on categorical multi-group confirmatory factor analysis in school psychology.

Evidence-based interventions (EBIs) have become a central component of school psychology research and practice, but EBIs are dependent upon the availability and use of evidence-based assessments (EBAs) with diverse student populations. Multi-group confirmatory factor analysis (MG-CFA) is an analytical tool that can be used to examine the validity and measurement equivalence/invariance of scores across diverse groups. The objective of this article is to provide a conceptual and procedural overview of categorical MG-CFA, as well as an illustrated example based on data from the Social and Academic Behavior Risk Screener (SABRS) - a tool designed for use in school-based interventions. This article serves as a non-technical primer on the topic of MG-CFA with ordinal (rating scale) data and does so through the framework of examining equivalence of measures used for EBIs within multi-tiered models - an understudied topic. To go along with the illustrated example, we have provided supplementary files that include sample data, Mplus input code, and an annotated guide for understanding the input code (http://dx.doi.org/10.1016/j.jsp.2016.11.002). Data needed to reproduce analyses in this article are available as supplemental materials (online only) in the Appendix of this article.

Evaluating the applied use of a mental health screener: Structural validity of the Social, Academic, and Emotional Behavior Risk Screener.

Universal screening for mental health has gained prominence in schools with the adoption of multitiered systems of support. However, there is a general lack of brief, psychometrically defensible instruments that assess emotional and behavioral risk. This study employed a multilevel, confirmatory bifactor analysis to evaluate the factor structure of a novel screening instrument-the Social, Academic, and Emotional Behavioral Risk Screener (SAEBRS; Kilgus & von der Embse, 2014)-examining the structure at the student (within) and teacher or rater (between) levels. Item response theory (IRT) analyses were then used to examine the functioning of 2 existing factors, social risk and academic risk, in addition to a newly introduced third factor, emotional risk, within a sample of 834 elementary and middle school students. Results indicated good fit of a bifactor model including the addition of the new Emotional Behavior subscale. IRT analyses suggested strong item-level discriminative properties (a > 1.0) for 17 of the 19 SAEBRS items and indicated that scale precision was greatest within the low to moderate range of each respective dimension (social, academic, and behavioral risk). Overall, the findings provide support for the use of the SAEBRS as a screener for mental health-related concerns. Implications for model interpretation and model use are discussed. (PsycINFO Database Record