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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
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Selvi, Hüseyin; Alici, Devrim; Uzun, Nezaket Bilge – Asian Journal of Education and Training, 2020
This study aims to comparatively examine the resultant findings by testing the measurement invariance with structural equation modeling in cases where the missing data is handled using the expectation-maximization (EM), regression imputation, and mean substitution methods in the complete data matrix and the 5% missing data matrix that is randomly…
Descriptors: Error of Measurement, Structural Equation Models, Attitude Measures, Student Attitudes
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Stamey, James D.; Beavers, Daniel P.; Sherr, Michael E. – Sociological Methods & Research, 2017
Survey data are often subject to various types of errors such as misclassification. In this article, we consider a model where interest is simultaneously in two correlated response variables and one is potentially subject to misclassification. A motivating example of a recent study of the impact of a sexual education course for adolescents is…
Descriptors: Bayesian Statistics, Classification, Models, Correlation
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Sideridis, Georgios; Tsaousis, Ioannis; Al Harbi, Khaleel – Educational and Psychological Measurement, 2017
The purpose of the present article was to illustrate, using an example from a national assessment, the value from analyzing the behavior of distractors in measures that engage the multiple-choice format. A secondary purpose of the present article was to illustrate four remedial actions that can potentially improve the measurement of the…
Descriptors: Multiple Choice Tests, Attention Control, Testing, Remedial Instruction
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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
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Diemer, Matthew A.; Rapa, Luke J. – Child Development, 2016
This research examines the complex patterns by which distinct dimensions of critical consciousness may lead marginalized adolescents toward distinct forms of political action. Structural equation modeling was applied to nationally representative data from the Civic Education Study (2,811 ninth graders; M[subscript age] = 14.6), first establishing…
Descriptors: Adolescents, Disadvantaged, Social Action, Voting
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Tong, Xin; Zhang, Zhiyong – Multivariate Behavioral Research, 2012
Growth curve models with different types of distributions of random effects and of intraindividual measurement errors for robust analysis are compared. After demonstrating the influence of distribution specification on parameter estimation, 3 methods for diagnosing the distributions for both random effects and intraindividual measurement errors…
Descriptors: Models, Robustness (Statistics), Statistical Analysis, Error of Measurement
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Shang, Yi – Journal of Educational Measurement, 2012
Growth models are used extensively in the context of educational accountability to evaluate student-, class-, and school-level growth. However, when error-prone test scores are used as independent variables or right-hand-side controls, the estimation of such growth models can be substantially biased. This article introduces a…
Descriptors: Error of Measurement, Statistical Analysis, Regression (Statistics), Simulation
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
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Raudenbush, Stephen W.; Reardon, Sean F.; Nomi, Takako – Journal of Research on Educational Effectiveness, 2012
Multisite trials can clarify the average impact of a new program and the heterogeneity of impacts across sites. Unfortunately, in many applications, compliance with treatment assignment is imperfect. For these applications, we propose an instrumental variable (IV) model with person-specific and site-specific random coefficients. Site-specific IV…
Descriptors: Program Evaluation, Statistical Analysis, Hierarchical Linear Modeling, Computation
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Brand, Jennie E.; Yu Xie, – American Sociological Review, 2010
In this article, we consider how the economic return to a college education varies across members of the U.S. population. Based on principles of comparative advantage, scholars commonly presume that positive selection is at work, that is, individuals who are most likely to select into college also benefit most from college. Net of observed…
Descriptors: College Attendance, Cohort Analysis, Longitudinal Studies, Salary Wage Differentials
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Shin, Yongyun; Raudenbush, Stephen W. – Journal of Educational and Behavioral Statistics, 2010
In organizational studies involving multiple levels, the association between a covariate and an outcome often differs at different levels of aggregation, giving rise to widespread interest in "contextual effects models." Such models partition the regression into within- and between-cluster components. The conventional approach uses each…
Descriptors: Academic Achievement, National Surveys, Computation, Inferences
Horng, Eileen Lai; Klasik, Daniel; Loeb, Susanna – National Center for Analysis of Longitudinal Data in Education Research, 2009
School principals have complex jobs. To better understand the work lives of principals, this study uses observational time-use data for all high school principals in Miami-Dade County Public Schools. This paper examines the relationship between the time principals spent on different types of activities and school outcomes including student…
Descriptors: School Effectiveness, Principals, High Schools, Time Management