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Multilevel Multitrait-Multimethod Latent Analysis of Structurally Different and Interchangeable Raters of School Climate

Mon, April 11, 7:45 to 9:15am, Convention Center, Floor: Level Two, Exhibit Hall D

Abstract

Informant based systems of assessment are common platforms for measuring a variety of educational and psychological constructs. However, measurements obtained by different informant types are not always congruent. An approach for extracting common trait factor variance from structurally different informant types is presented with an extension of measuring the resulting factors’ associations with an external outcome. Data from a multilevel multitrait-multimethod design in which structurally different and interchangeable students (N = 45,641) and teachers (N = 12,808), residing within 302 high schools, responded to items measuring three dimensions of school climate and bullying were evaluated through a multilevel correlated trait – correlated method latent variable model. Extensions of the model allowed for quantification of trait factor concurrent validity coefficients.

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