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Tenko Raykov; Christine DiStefano; Natalja Menold – Structural Equation Modeling: A Multidisciplinary Journal, 2024
This article is concerned with the assumption of linear temporal development that is often advanced in structural equation modeling-based longitudinal research. The linearity hypothesis is implemented in particular in the popular intercept-and-slope model as well as in more general models containing it as a component, such as longitudinal…
Descriptors: Structural Equation Models, Hypothesis Testing, Longitudinal Studies, Research Methodology
Cao, Chunhua; Kim, Eun Sook; Chen, Yi-Hsin; Ferron, John – Educational and Psychological Measurement, 2021
This study examined the impact of omitting covariates interaction effect on parameter estimates in multilevel multiple-indicator multiple-cause models as well as the sensitivity of fit indices to model misspecification when the between-level, within-level, or cross-level interaction effect was left out in the models. The parameter estimates…
Descriptors: Goodness of Fit, Hierarchical Linear Modeling, Computation, Models
Erck, Ryan W.; Sriram, Rishi – Journal of College and University Student Housing, 2022
Interactions across campus have long been documented as an important component of understanding the college student experience. This is especially salient in relation to interactions with faculty and peers during a student's first year, when susceptibility for departure is high. However, it is likewise critical to understand how distinctive types…
Descriptors: Undergraduate Students, Living Learning Centers, Correlation, Models
Kartal, Seval Kula – International Journal of Progressive Education, 2020
One of the aims of the current study is to specify the model providing the best fit to the data among the exploratory, the bifactor exploratory and the confirmatory structural equation models. The study compares the three models based on the model data fit statistics and item parameter estimations (factor loadings, cross-loadings, factor…
Descriptors: Learning Motivation, Measures (Individuals), Undergraduate Students, Foreign Countries
Huang, Jiajing; Liang, Xinya; Yang, Yanyun – AERA Online Paper Repository, 2017
In Bayesian structural equation modeling (BSEM), prior settings may affect model fit, parameter estimation, and model comparison. This simulation study was to investigate how the priors impact evaluation of relative fit across competing models. The design factors for data generation included sample sizes, factor structures, data distributions, and…
Descriptors: Bayesian Statistics, Structural Equation Models, Goodness of Fit, Sample Size
Bailey, Janelle M.; Jamani, Sonia; Klavon, Timothy G.; Jaffe, Joshua; Mohan, Svetha – Educational and Developmental Psychologist, 2022
Objective: Socially-relevant and controversial topics, such as the climate crisis, are subject to differences in the explanations that scientists and the public find plausible. Scaffolds can help students be evaluative of the validity of explanations based on evidence when addressing such topics and support knowledge gains. Method: This study…
Descriptors: Climate, Teaching Methods, Environmental Education, Weather
Okur-Berberoglu, Emel – International Electronic Journal of Environmental Education, 2018
Ecoliteracy is to understand and internalise sustainable ecological relationship in the nature and to transfer this sustainable lifestyle to daily life despite the fact that ecoliteracy does not have only one and unique definition. However, it is difficult to measure ecoliteracy due to it being a complex concept. There are many subsets of…
Descriptors: Literacy, Structural Equation Models, Sustainability, Life Style
Lewis, Todd F. – Measurement and Evaluation in Counseling and Development, 2017
American Educational Research Association (AERA) standards stipulate that researchers show evidence of the internal structure of instruments. Confirmatory factor analysis (CFA) is one structural equation modeling procedure designed to assess construct validity of assessments that has broad applicability for counselors interested in instrument…
Descriptors: Educational Research, Factor Analysis, Structural Equation Models, Construct Validity
Fernández Faúndez, Eva María – Electronic Journal of Research in Educational Psychology, 2018
Introduction: The focus of our research converges on the analysis of attitudes and the prediction of the behavior of university students towards the inclusion of students with disabilities in university. The evaluation of attitudes and the prediction of behavior are complex, but it is fundamental because of the decisive impact they have on the…
Descriptors: Disabilities, Student Attitudes, College Students, Inclusion
Subrahmanyam, Annamdevula – Quality Assurance in Education: An International Perspective, 2017
Purpose: This paper aims to identify and test four competing models with the interrelationships between students' perceived service quality, students' satisfaction, loyalty and motivation using structural equation modeling (SEM), and to select the best model using chi-square difference (??2) statistic test. Design/methodology/approach: The study…
Descriptors: Correlation, Statistical Analysis, Educational Quality, Student Attitudes
Gavriel-Fried, Belle; Ronen, Tammie; Agbaria, Qutaiba; Orkibi, Hod; Hamama, Liat – Youth & Society, 2018
Adolescence is a period of dramatic change that necessitates using skills and strengths to reduce physical aggression and increase happiness. This study examined the multiple facets of self-control skills in achieving both goals simultaneously, in a sample of 248 Arab adolescents in Israel. We conceptualized and tested a new multi-mediator model…
Descriptors: Self Control, Arabs, Adolescents, Structural Equation Models
Kenny, David A.; Kaniskan, Burcu; McCoach, D. Betsy – Sociological Methods & Research, 2015
Given that the root mean square error of approximation (RMSEA) is currently one of the most popular measures of goodness-of-model fit within structural equation modeling (SEM), it is important to know how well the RMSEA performs in models with small degrees of freedom ("df"). Unfortunately, most previous work on the RMSEA and its…
Descriptors: Error of Measurement, Models, Goodness of Fit, Structural Equation Models
Chung, ChihMing; Liao, Xiaolan; Song, Hairong; Lee, Taehun – Measurement in Physical Education and Exercise Science, 2016
The multi-dimensionality of Physical Self-Perception Profile (PSPP) has been acknowledged by the use of correlated-factor model and second-order model. In this study, the authors critically endorse the bifactor model, as a substitute to address the multi-dimensionality of PSPP. To cross-validate the models, analyses are conducted first in…
Descriptors: Structural Equation Models, Factor Analysis, Self Esteem, Measurement Techniques
Akpur, Ugur – Eurasian Journal of Educational Research, 2017
Purpose: The purpose of this study is to determine the predictive and explanatory relationship model between procrastination, motivation, anxiety and academic achievement of university students. Research Methods: In this study, a causal research design was used. The study group consisted of 211 participants. In order to determine their motivation…
Descriptors: Models, Time Management, Student Motivation, Anxiety
Wang, Lu – ProQuest LLC, 2017
This study expands understanding of Chinese international undergraduate students' stay inclinations in the United States. It analyzed a sample of 247 Chinese undergraduate students from a public Midwestern research university during Spring 2017. This study compared the differences in stay inclinations between Chinese undergraduate students who…
Descriptors: Undergraduate Students, Research Universities, Foreign Students, Comparative Analysis