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Zhang, Duan; Willson, Victor L. – Structural Equation Modeling: A Multidisciplinary Journal, 2006
Both structural equation models and hierarchical linear models (HLMs) have been commonly used in multilevel analysis. This study utilized simulated data to investigate the power difference among 3 multilevel models: HLM, deviation structural equation models, and a hybrid approach of HLM and structural equation models. Two factors were examined:…
Descriptors: Comparative Analysis, Structural Equation Models, Interaction, Simulation
Maydeu-Olivares, Albert; Bockenholt, Ulf – Psychological Methods, 2005
L. L. Thurstone's (1927) model provides a powerful framework for modeling individual differences in choice behavior. An overview of Thurstonian models for comparative data is provided, including the classical Case V and Case III models as well as more general choice models with unrestricted and factor-analytic covariance structures. A flow chart…
Descriptors: Flow Charts, Factor Analysis, Structural Equation Models, Decision Making
Knight, William E. – Association for Institutional Research (NJ1), 2009
As more students enroll at community colleges, questions are raised about whether learning is the same in the two- and four-year sectors, both overall and for sub-groups, and whether effects of student backgrounds and college experiences on learning are similar. This study used structural equation modeling with CCSSE and NSSE data from a sample…
Descriptors: Structural Equation Models, Academic Persistence, College Attendance, College Transfer Students
Neuenschwander, Markus P.; Vida, Mina; Garrett, Jessica L.; Eccles, Jacquelynne S. – International Journal of Behavioral Development, 2007
The present study compares the relations of family SES and parents' educational expectations during early adolescence with students' self-concept of ability and academic achievement in mathematics and language in two western countries, Switzerland and USA Participants were drawn from two US longitudinal samples, The Michigan Study of Adolescent…
Descriptors: Structural Equation Models, Mathematics Achievement, Academic Achievement, Parent Role
Silberglitt, Benjamin; Appleton, James J.; Burns, Matthew K.; Jimerson, Shane R. – Journal of School Psychology, 2006
Grade retention is an intervention that has received increasing scrutiny as policies, practices, and results of research diverge. This longitudinal study examines the reading growth trajectories of students (n=147) from first-through eighth-grade. Hierarchical Linear Modeling (HLM) analytic procedures provide unique insights regarding the relative…
Descriptors: Grade Repetition, Reading Achievement, Longitudinal Studies, Intervention
Zhou, Ying; Volkwein, James Fredericks – Research in Higher Education, 2004
This empirical research examines the predictors of intended departure for tenured vs. nontenured full-time faculty at research and doctoral institutions across an array of disciplines. What are the characteristics of those who intend to leave their institutions? Do tenured and nontenured faculty show different patterns of intended departure? And…
Descriptors: Comparative Analysis, Teacher Characteristics, College Faculty, Tenure
Peer reviewedPurpura, James E. – Language Testing, 1998
Uses structural equation modelling to examine the relationship between learning strategy use and second-language test performance (SLTP) in 1,382 high- and low-ability test takers. Results showed metacognitive strategy use and SLTP models produced similar factorial structures for each group; cognitive strategy use models differed. This suggests…
Descriptors: Comparative Analysis, Language Aptitude, Language Proficiency, Language Tests
Gold, Michael S.; Bentler, Peter M.; Kim, Kevin H. – Structural Equation Modeling: A Multidisciplinary Journal, 2003
This article describes a Monte Carlo study of 2 methods for treating incomplete nonnormal data. Skewed, kurtotic data sets conforming to a single structured model, but varying in sample size, percentage of data missing, and missing-data mechanism, were produced. An asymptotically distribution-free available-case (ADFAC) method and structured-model…
Descriptors: Monte Carlo Methods, Computation, Sample Size, Comparative Analysis
Song, Xin-Yuan; Lee, Sik-Yum – Structural Equation Modeling: A Multidisciplinary Journal, 2006
Structural equation models are widely appreciated in social-psychological research and other behavioral research to model relations between latent constructs and manifest variables and to control for measurement error. Most applications of SEMs are based on fully observed continuous normal data and models with a linear structural equation.…
Descriptors: Structural Equation Models, Maximum Likelihood Statistics, Item Response Theory, Error of Measurement
Marachi, Roxana; Avi Astor, Ron; Benbenishty, Rami – School Psychology International, 2007
The present study examines relations between school policy, teacher responses to violence and students' victimization outcomes as reported by teachers in a nationally representative sample of schools in Israel. Data were analysed using Structural Equations Modeling for the full sample of teachers, as well as group comparisons by school level,…
Descriptors: School Policy, Teacher Behavior, Violence, Victims of Crime
Chris G. Richardson; Pamela A. Ratner; Bruno D. Zumbo – Educational and Psychological Measurement, 2007
The purpose of this investigation was to test the age-related measurement invariance and temporal stability of the 13-item version of Antonovsky's Sense of Coherence Scale (SOC). Multigroup structural equation modeling of longitudinal data from the Canadian National Population Health Survey was used to examine the measurement invariance across 3…
Descriptors: Foreign Countries, Measures (Individuals), Structural Equation Models, Investigations
Hau, Kit-Tai – 1996
This study evaluated the stage structure of several quasi-simplex and non-simplex models of moral development in two domains of moral development in a British and a Chinese sample. Analyses were based on data reported by Sachs (1992): the Chinese sample consisted of 1,005 students from grade 9 to post-college, and the British sample consisted of…
Descriptors: Adolescents, Adults, Comparative Analysis, Developmental Stages
Brodnick, Robert; Rogers, Mike – Online Submission, 2004
This study explored institutional similarities using modelling techniques in the national university population. Measures of proximity in national datasets shed light on the dynamics of peer group construction. Factors were identified that provide the foundation for peer similarities. Structural equation modelling allowed testing of fit across…
Descriptors: Peer Groups, Validity, Institutional Research, Structural Equation Models
Peer reviewedMcBride-Chang, Catherine; Manis, Franklin R. – Reading and Writing: An Interdisciplinary Journal, 1996
Examines associations of multiple measures of naming speed, phonological awareness, and verbal intelligence with word reading in poor readers and good readers. Reveals that for poor readers naming speed and phonological awareness were associated with word reading, but not verbal intelligence--for good readers, phonological awareness and verbal…
Descriptors: Comparative Analysis, Elementary Education, Grade 3, Grade 4
Dickhauser, Oliver – Educational Research, 2005
Background: Students' self-concepts play an important role in explaining achievement-related behaviour. According to the internal/external frame of reference model (I/E Model), students use two frames of reference to form their mathematical and verbal self-concepts. The model predicts that external comparisons will lead to a positive association,…
Descriptors: Academic Ability, Academic Achievement, Self Concept, Comparative Analysis

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