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Goulet, Julie; Morizot, Julien – Learning Environments Research, 2023
School climate is an essential ingredient of student well-being and academic success. Although it has been studied extensively, only a few well-validated instruments are available for the assessment of school climate. The aim of this study was to assess the factor validity and measurement invariance of the Socio-educational Environment…
Descriptors: Questionnaires, Educational Environment, Longitudinal Studies, Factor Structure
Ciftci, S. Koza – Online Submission, 2019
In this study, the effect of mathematics teacher candidates' locus of control on math anxiety was tested, along with the effects of gender, achievement and class level moderators. The study was carried out according to a causal design in which locus of control was taken as an independent variable, while math anxiety was taken as the dependent…
Descriptors: Locus of Control, Mathematics Teachers, Mathematics Anxiety, Gender Differences
Televantou, Ioulia; Marsh, Herbert W.; Kyriakides, Leonidas; Nagengast, Benjamin; Fletcher, John; Malmberg, Lars-Erik – School Effectiveness and School Improvement, 2015
The main objective of this study was to quantify the impact of failing to account for measurement error on school compositional effects. Multilevel structural equation models were incorporated to control for measurement error and/or sampling error. Study 1, a large sample of English primary students in Years 1 and 4, revealed a significantly…
Descriptors: Hierarchical Linear Modeling, Statistical Bias, Error of Measurement, Educational Research
Showers, Anne H.; Kinsman, Jeremy W. – Learning Disability Quarterly, 2017
Using structural equation modeling, the study tested a theoretical model linking family background, student attributes, and college success. The sample consisted of 346 students with learning disabilities (LDs) who enrolled in college between 2004 and 2012. The data were taken from the public files of the Education Longitudinal Study: 2002. The…
Descriptors: Learning Disabilities, College Students, Structural Equation Models, Success
Battauz, Michela; Bellio, Ruggero – Psychometrika, 2011
This paper proposes a structural analysis for generalized linear models when some explanatory variables are measured with error and the measurement error variance is a function of the true variables. The focus is on latent variables investigated on the basis of questionnaires and estimated using item response theory models. Latent variable…
Descriptors: Error of Measurement, Structural Equation Models, Computation, Item Response Theory
Dedrick, Robert F.; Shaunessy-Dedrick, Elizabeth; Suldo, Shannon M.; Ferron, John M. – Gifted Child Quarterly, 2015
In two studies (ns = 312 and 1,149) with 9- to 12-grade students in pre-International Baccalaureate (IB) and IB Diploma programs, we evaluated the reliability, factor structure, measurement invariance, and criterion-related validity of the scores from the School Attitude Assessment Survey-Revised (SAAS-R). Reliabilities of the five SAAS-R subscale…
Descriptors: Psychometrics, High School Students, Advanced Placement Programs, Attitude Measures
Dedrick, Robert F.; Shaunessy-Dedrick, Elizabeth; Suldo, Shannon M.; Ferron, John – Grantee Submission, 2015
In two studies (ns = 312 and 1149) with 9-12 grade students in pre-International Baccalaureate (IB) and IB Diploma programs, we evaluated the reliability, factor structure, measurement invariance, and criterion-related validity of the scores from the School Attitude Assessment Survey-Revised (SAAS-R; McCoach & Siegle, 2003a). Reliabilities of…
Descriptors: Psychometrics, High School Students, Advanced Placement Programs, Attitude Measures
Traynor, Anne; Raykov, Tenko – Comparative Education Review, 2013
In international achievement studies, questionnaires typically ask about the presence of particular household assets in students' homes. Responses to the assets questions are used to compute a total score, which is intended to represent household wealth in models of test performance. This study uses item analysis and confirmatory factor analysis…
Descriptors: Secondary School Students, Academic Achievement, Validity, Psychometrics
Cham, Heining; West, Stephen G.; Ma, Yue; Aiken, Leona S. – Multivariate Behavioral Research, 2012
A Monte Carlo simulation was conducted to investigate the robustness of 4 latent variable interaction modeling approaches (Constrained Product Indicator [CPI], Generalized Appended Product Indicator [GAPI], Unconstrained Product Indicator [UPI], and Latent Moderated Structural Equations [LMS]) under high degrees of nonnormality of the observed…
Descriptors: Monte Carlo Methods, Computation, Robustness (Statistics), Structural Equation Models
Marsh, Herbert W.; Ludtke, Oliver; Robitzsch, Alexander; Trautwein, Ulrich; Asparouhov, Tihomir; Muthen, Bengt; Nagengast, Benjamin – Multivariate Behavioral Research, 2009
This article is a methodological-substantive synergy. Methodologically, we demonstrate latent-variable contextual models that integrate structural equation models (with multiple indicators) and multilevel models. These models simultaneously control for and unconfound measurement error due to sampling of items at the individual (L1) and group (L2)…
Descriptors: Educational Environment, Context Effect, Models, Structural Equation Models