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Konold, Timothy; Sanders, Elizabeth A. – Measurement: Interdisciplinary Research and Perspectives, 2020
Measuring and understanding the nature of informant/rater effects and differences (Level 1) on a common trait when the target of measurement is at the organizational level (Level 2) involves a number of methodological considerations. Although previous research has discussed single-level latent variable applications of the correlated…
Descriptors: Hierarchical Linear Modeling, Multitrait Multimethod Techniques, Measurement, Models
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Konold, Timothy – Journal of Psychoeducational Assessment, 2018
School-level contextual factors have been found to influence reports of school climate. The purpose of the current study was to evaluate 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. Data from a multilevel multitrait-multimethod (MTMM) design in…
Descriptors: Hierarchical Linear Modeling, Multitrait Multimethod Techniques, Computation, Context Effect
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Konold, Timothy R.; Shukla, Kathan – Educational Assessment, 2017
The use of multiple informants is common in assessments that rely on the judgments of others. However, ratings obtained from different informants often vary as a function of their perspectives and roles in relation to the target of measurement, and causes unrelated to the trait being measured. We illustrate the usefulness of a latent variable…
Descriptors: Educational Environment, Multitrait Multimethod Techniques, Computation, Validity
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Dickinson, Emily R.; Adelson, Jill L. – Journal of Advanced Academics, 2016
Practitioners and researchers interested in understanding student achievement, its predictors, and how it relates to other student outcomes are likely unaware of how the source information about achievement may offer subtly different pictures. This study applies multitrait-multimethod (MTMM) confirmatory factor analysis (CFA) within a structural…
Descriptors: Student Evaluation, Academic Achievement, Factor Analysis, Multitrait Multimethod Techniques
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Shujuan, Wang; Meihua, Qian; Jianxin, Zhang – Journal of Psychoeducational Assessment, 2009
This article examines the psychometric structure of the Anxiety Control Questionnaire (ACQ) in Chinese adolescents. With the data collected from 212 senior high school students (94 females, 110 males, 8 unknown), seven models are tested using confirmatory factor analyses in the framework of the multitrait-multimethod strategy. Results indicate…
Descriptors: Multitrait Multimethod Techniques, Factor Structure, Adolescents, Measures (Individuals)
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Marsh, Herbert W.; Nagengast, Benjamin; Morin, Alexandre J. S.; Parada, Roberto H.; Craven, Rhonda G.; Hamilton, Linda R. – Journal of Educational Psychology, 2011
Existing research posits multiple dimensions of bullying and victimization but has not identified well-differentiated facets of these constructs that meet standards of good measurement: goodness of fit, measurement invariance, lack of differential item functioning, and well-differentiated factors that are not so highly correlated as to detract…
Descriptors: Locus of Control, Test Bias, Bullying, Structural Equation Models
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Aldridge, Jill M.; Dorman, Jeffrey P.; Fraser, Barry J. – Australian Journal of Educational & Developmental Psychology, 2004
This paper describes the validation of actual and preferred forms of a new classroom environment instrument--the Technology-Rich Outcomes-Focused Learning Environment Inventory (TROFLEI)--using multitrait-multimethod modelling. The 80-item TROFLEI assesses 10 classroom environment dimensions: Student Cohesiveness, Teacher Support, Involvement,…
Descriptors: Multitrait Multimethod Techniques, Validity, High School Students, Factor Analysis