A Multilevel MTMM Approach to Estimating the Influences of Contextual Factors on Trait and Informant-Based Method Effects in Assessments of School Climate

• NCJ Number: 253293
• Author(s): Timothy Konold
• Date Published: 2018
• Length: 13 pages
• Grant Number(s): 2014-CK-BX-0004
• Agencies: NIJ-Sponsored
• Publication Type: Research (Applied/Empirical); Report (Study/Research); Report (Grant Sponsored); Program/Project Description
• Award: Student Threat Assessment as a Safe and Supportive Prevention Strategy

Annotation

Since school-level contextual factors have been found to influence reports of school climate, the purpose of the current study was to assess the extent to which these associations are related to the school climate traits being measured or the methods (i.e., informants) used to obtain them.

Abstract

Data were obtained from a multilevel, multitrait-multimethod (MTMM) design in which structurally different and interchangeable students (n = 45,641) and teachers (n = 12,808) in 302 high schools responded to items that measured four dimensions of school climate. The data were analyzed with a multilevel correlated trait-correlated method (CT-CM) latent analysis that enabled the estimation of both school-level trait and informant-based method factors. The resulting trait and method factors were regressed on several school-level contextual variables. Results indicated that the percentage of students receiving free and reduced-price meals (FRPM) in schools was associated with both school climate traits and informant-based method factors; school size and the percentage of minority students in schools were associated with some traits; and school size was associated with student method effects. Findings support controlling for school-level contextual factors in school climate research. (publisher abstract modified)