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Philipp Sterner; Florian Pargent; Dominik Deffner; David Goretzko – Structural Equation Modeling: A Multidisciplinary Journal, 2024
Measurement invariance (MI) describes the equivalence of measurement models of a construct across groups or time. When comparing latent means, MI is often stated as a prerequisite of meaningful group comparisons. The most common way to investigate MI is multi-group confirmatory factor analysis (MG-CFA). Although numerous guides exist, a recent…
Descriptors: Structural Equation Models, Causal Models, Measurement, Predictor Variables
Leonidas Sakalauskas; Vytautas Dulskis; Darius Plikynas – Structural Equation Modeling: A Multidisciplinary Journal, 2024
Dynamic structural equation models (DSEM) are designed for time series analysis of latent structures. Inherent to the application of DSEM is model parameter estimation, which has to be addressed in many applications by a single time series. In this context, however, the methods currently available either lack estimation quality or are…
Descriptors: Structural Equation Models, Time Management, Predictive Measurement, Data Collection
Haixiang Zhang – Structural Equation Modeling: A Multidisciplinary Journal, 2025
Mediation analysis is an important statistical tool in many research fields, where the joint significance test is widely utilized for examining mediation effects. Nevertheless, the limitation of this mediation testing method stems from its conservative Type I error, which reduces its statistical power and imposes certain constraints on its…
Descriptors: Structural Equation Models, Statistical Significance, Robustness (Statistics), Comparative Testing
Victoria Savalei; Yves Rosseel – Structural Equation Modeling: A Multidisciplinary Journal, 2022
This article provides an overview of different computational options for inference following normal theory maximum likelihood (ML) estimation in structural equation modeling (SEM) with incomplete normal and nonnormal data. Complete data are covered as a special case. These computational options include whether the information matrix is observed or…
Descriptors: Structural Equation Models, Computation, Error of Measurement, Robustness (Statistics)
Skrzypiec, Grace; Askell-Williams, Helen; Zhao, Xueqin; Du, Wenping; Cao, Fei; Xing, Lihong – Psychology in the Schools, 2018
There has been substantial research in the United States, Europe, and Australia about factors influencing students' well-being. However, such research has been relatively rare in Mainland China. We administered four predictor scales (School Satisfaction, Self-Concept, Relationships, and Resilience) and three outcome scales (Flourishing, Mental…
Descriptors: Predictor Variables, Foreign Countries, Well Being, Elementary School Students
Alcaraz, Saul; Torregrosa, Miquel; Viladrich, Carme – Research Quarterly for Exercise and Sport, 2015
Purpose: The purpose of the present research was to test how behavioral regulations are mediated between basic psychological needs and psychological well-being and ill-being in a sample of team-sport coaches. Based on self-determination theory, we hypothesized a model where satisfaction and thwarting of the basic psychological needs predicted…
Descriptors: Well Being, Psychological Needs, Athletic Coaches, Motivation
Lin, Jien-Jou – ProQuest LLC, 2013
Every year a group of graduates from high schools enter the engineering programs across this country with remarkable academic record. However, as reported in numerous studies, the number of students switching out of engineering majors continues to be an important issue. Previous studies have suggested various factors as predictors for student…
Descriptors: Success, Prediction, Predictive Measurement, Predictive Validity
Jongerling, Joran; Hamaker, Ellen L. – Structural Equation Modeling: A Multidisciplinary Journal, 2011
This article shows that the mean and covariance structure of the predetermined autoregressive latent trajectory (ALT) model are very flexible. As a result, the shape of the modeled growth curve can be quite different from what one might expect at first glance. This is illustrated with several numerical examples that show that, for example, a…
Descriptors: Statistics, Structural Equation Models, Scores, Predictor Variables
Soltaninejad, Mehraneh – Malaysian Online Journal of Educational Sciences, 2015
The purpose of this study is to examine the relationships between achievement goal orientations and Learning Strategies. The sample of study consists of 350 public high school students (135 males and 215 females, mean age: 17 ± 0.65) from two high schools in Kerman province of Iran selected by random multistage cluster sampling method. In this…
Descriptors: Goal Orientation, Learning Strategies, Structural Equation Models, Investigations
Teo, Timothy – Interactive Learning Environments, 2012
This study examined pre-service teachers' self-reported intention to use technology. One hundred fifty-seven participants completed a survey questionnaire measuring their responses to six constructs from a research model that integrated the Technology Acceptance Model (TAM) and Theory of Planned Behavior (TPB). Structural equation modeling was…
Descriptors: Foreign Countries, Educational Technology, Structural Equation Models, Computer Uses in Education
Burnout and Teacher Self-Efficacy among Teachers Working in Special Education Institutions in Turkey
Sariçam, Hakan; Sakiz, Halis – Educational Studies, 2014
The aim of this paper was to investigate the relationship between teacher self-efficacy and burnout among special education school teachers in Turkey. One hundred and eighteen teachers completed the Teachers' Sense of Efficacy Scale and the Maslach Burnout Inventory. Teachers belonged to the psychological counselling and guidance programme,…
Descriptors: Special Education, Special Education Teachers, Teacher Burnout, Self Efficacy
Pasch, Keryn E.; Velazquez, Cayley E.; Cance, Jessica Duncan; Moe, Stacey G.; Lytle, Leslie A. – Journal of Youth and Adolescence, 2012
Both substance use and obesity are prevalent among youth. As youth age, substance use rates increase and over the past three decades, obesity rates among youth have tripled. While these two factors have both short- and long-term health impacts, little research has explored how substance use and obesity among youth may be related. This study…
Descriptors: Obesity, Body Composition, Structural Equation Models, Drinking
Peller, Sarah – ProQuest LLC, 2014
The present study examined the relationship between children's early literacy-related abilities and their reading achievement in late elementary school in the context of a Puerto Rican community in Massachusetts. The researcher examined four years of student achievement test data from the public elementary schools of Holyoke, Massachusetts. The…
Descriptors: Puerto Ricans, Reading Tests, Grade 1, Grade 4
Kim, Su-Young; Kim, Jee-Seon – Structural Equation Modeling: A Multidisciplinary Journal, 2012
This article investigates three types of stage-sequential growth mixture models in the structural equation modeling framework for the analysis of multiple-phase longitudinal data. These models can be important tools for situations in which a single-phase growth mixture model produces distorted results and can allow researchers to better understand…
Descriptors: Structural Equation Models, Data Analysis, Research Methodology, Longitudinal Studies
Punnoose, Alfie Chacko – Journal of Information Technology Education: Research, 2012
The purpose of this study was to find some of the predominant factors that determine the intention of students to use eLearning in the future. Since eLearning is not just a technology acceptance decision but also involves cognition, this study extended its search beyond the normal technology acceptance variables into variables that could affect…
Descriptors: Foreign Countries, Intention, Motivation, Personality Traits
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