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Finch, W. Holmes – Journal of Experimental Education, 2022
Multivariate analysis of variance (MANOVA) is widely used to test the null hypothesis of equal multivariate means across 2 or more groups. MANOVA rests upon an assumption that error terms are independent of one another, which can be violated if individuals are clustered or nested within groups, such as schools. Ignoring such nesting can result in…
Descriptors: Multivariate Analysis, Hypothesis Testing, Structural Equation Models, Hierarchical Linear Modeling
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Son, Sookyoung; Hong, Sehee – Educational and Psychological Measurement, 2021
The purpose of this two-part study is to evaluate methods for multiple group analysis when the comparison group is at the within level with multilevel data, using a multilevel factor mixture model (ML FMM) and a multilevel multiple-indicators multiple-causes (ML MIMIC) model. The performance of these methods was evaluated integrally by a series of…
Descriptors: Hierarchical Linear Modeling, Factor Analysis, Structural Equation Models, Groups
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Cao, Chunhua; Kim, Eun Sook; Chen, Yi-Hsin; Ferron, John; Stark, Stephen – Educational and Psychological Measurement, 2019
In multilevel multiple-indicator multiple-cause (MIMIC) models, covariates can interact at the within level, at the between level, or across levels. This study examines the performance of multilevel MIMIC models in estimating and detecting the interaction effect of two covariates through a simulation and provides an empirical demonstration of…
Descriptors: Hierarchical Linear Modeling, Structural Equation Models, Computation, Identification
Humphrey, Stephen E., Ed.; LeBreton, James M., Ed. – APA Books, 2019
Organizational relationships are complex. Employees do their work as individuals, but also as members of larger teams. They exist within various social networks, both within and spanning organizations. Multilevel theory is at the core of the organizational sciences, and unpacking multilevel relationships is fundamental to the challenges faced…
Descriptors: Hierarchical Linear Modeling, Theories, Institutional Research, Social Networks
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Zigler, Christina K.; Ye, Feifei – AERA Online Paper Repository, 2016
Mediation in multi-level data can be examined using conflated multilevel modeling (CMM), unconflated multilevel modeling (UMM), or multilevel structural equation modeling (MSEM). A Monte Carlo study was performed to compare the three methods on bias, type I error, and power in a 1-1-1 model with random slopes. The three methods showed no…
Descriptors: Hierarchical Linear Modeling, Structural Equation Models, Monte Carlo Methods, Statistical Bias
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Sebastian, James; Huang, Haigen; Allensworth, Elaine – School Effectiveness and School Improvement, 2017
Research on school leadership suggests that both principal and teacher leadership are important for school improvement. However, few studies have studied the interaction of principal and teacher leadership as separate but linked systems in how they relate to student outcomes. In this study, we examine how leadership pathways are related in the…
Descriptors: Principals, Teacher Leadership, High Schools, Comparative Analysis
Sebastian, James; Huang, Haigen; Allensworth, Elaine – Grantee Submission, 2017
Research on school leadership suggests that both principal and teacher leadership are important for school improvement. However, few studies have studied the interaction of principal and teacher leadership as separate but linked systems in how they relate to student outcomes. In this study, we examine how leadership pathways are related in the…
Descriptors: Principals, Teacher Leadership, High Schools, Comparative Analysis
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Koch, Tobias; Schultze, Martin; Burrus, Jeremy; Roberts, Richard D.; Eid, Michael – Journal of Educational and Behavioral Statistics, 2015
The numerous advantages of structural equation modeling (SEM) for the analysis of multitrait-multimethod (MTMM) data are well known. MTMM-SEMs allow researchers to explicitly model the measurement error, to examine the true convergent and discriminant validity of the given measures, and to relate external variables to the latent trait as well as…
Descriptors: Structural Equation Models, Hierarchical Linear Modeling, Factor Analysis, Multitrait Multimethod Techniques
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Martin, Andrew J.; Lazendic, Goran – Journal of Educational Psychology, 2018
With the rise of large-scale academic assessment programs around the world, there is a need to better understand the factors predicting students' achievement in these assessment exercises. This investigation into national numeracy assessment drew on ecological and transactional conceptualizing involving student, student/home, and school factors.…
Descriptors: Numeracy, Mathematics Tests, National Competency Tests, Predictor Variables
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Martin, Andrew J.; Collie, Rebecca J.; Durksen, Tracy L.; Burns, Emma C.; Bostwick, Keiko C. P.; Tarbetsky, Ana L. – International Journal of Research & Method in Education, 2019
This review explores predictors and consequences of students' growth goals and growth mindset in school with particular emphasis on how correlational statistical methods can be applied to illuminate key issues and implications. Study 1 used cross-sectional data and employed structural equation modelling (SEM) to investigate the role of growth…
Descriptors: Goal Orientation, Student Educational Objectives, Predictor Variables, Statistical Analysis
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Bass, Ellyn Charlotte; Saldarriaga, Lina; Cunha, Josafa; Chen, Bin-Bin; Santo, Jonathan Bruce; Bukowski, William M. – International Journal of Behavioral Development, 2018
To better address the many consequences of peer victimization, research must identify not only aspects of individuals that put them at risk for victimization, such as aggression, but also aspects of the context that influence the extent of that risk. To this end, this study examined the contextual influences of gender, same-sex peer group norms of…
Descriptors: Cross Cultural Studies, Structural Equation Models, Peer Groups, Victims
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Knekta, Eva – Scandinavian Journal of Educational Research, 2017
This study investigated changes in reported test-taking motivation from a low-stakes to a high-stakes test and if there are differences in reported test-taking motivation between school classes. A questionnaire including scales assessing reported effort, expectancies, perceived importance, interest, and test anxiety was administered to a sample of…
Descriptors: Student Motivation, Test Wiseness, Grade 9, Tests
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Pandya, Samta P. – Religious Education, 2018
Based on a one-year longitudinal experimental study with 3,782 kindergarten school children across 15 countries, this article examines the association between prayer and happiness. Results show that the post-test scores on the faces scale were higher for the participant group who had taken the prayer lessons vis-à-vis the comparison group.…
Descriptors: Scores, Cross Cultural Studies, Christianity, Pretests Posttests
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Yarnell, Lisa M.; Bohrnstedt, George W. – American Educational Research Journal, 2018
This study examines student-teacher "racial match" for its association with Black student achievement. Multilevel structural equation modeling was used to analyze 2013 National Assessment for Educational Progress (NAEP) Grade 4 Reading Assessment data to examine interactions of teacher race and student race in their associations with…
Descriptors: Hierarchical Linear Modeling, African American Students, Hispanic American Students, Educational Policy
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Peng, Michael Yao-Ping; Wang, Rong-Sheng; Liu, Feng-Chi; Tuan, Sheng-Hwa – Universal Journal of Educational Research, 2017
Higher education plays a key role in national economic development. According to statistics from the Ministry of Education (MOE), there were 166 higher education institutions (HEIs) in Taiwan in 2014. This form of mass education provides more educational opportunities for students, but also causes problems like low teaching quality and…
Descriptors: Economic Development, Outcomes of Education, Educational Opportunities, Foreign Countries
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