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Russell P. Houpt; Kevin J. Grimm; Aaron T. McLaughlin; Daryl R. Van Tongeren – Structural Equation Modeling: A Multidisciplinary Journal, 2024
Numerous methods exist to determine the optimal number of classes when using latent profile analysis (LPA), but none are consistently correct. Recently, the likelihood incremental percentage per parameter (LI3P) was proposed as a model effect-size measure. To evaluate the LI3P more thoroughly, we simulated 50,000 datasets, manipulating factors…
Descriptors: Structural Equation Models, Profiles, Sample Size, Evaluation Methods
Timothy R. Konold; Elizabeth A. Sanders – Structural Equation Modeling: A Multidisciplinary Journal, 2024
Within the frequentist structural equation modeling (SEM) framework, adjudicating model quality through measures of fit has been an active area of methodological research. Complicating this conversation is research revealing that a higher quality measurement portion of a SEM can result in poorer estimates of overall model fit than lower quality…
Descriptors: Structural Equation Models, Reliability, Bayesian Statistics, Goodness of Fit
Phillip K. Wood – Structural Equation Modeling: A Multidisciplinary Journal, 2024
The logistic and confined exponential curves are frequently used in studies of growth and learning. These models, which are nonlinear in their parameters, can be estimated using structural equation modeling software. This paper proposes a single combined model, a weighted combination of both models. Mplus, Proc Calis, and lavaan code for the model…
Descriptors: Structural Equation Models, Computation, Computer Software, Weighted Scores
Vispoel, Walter P.; Lee, Hyeryung; Xu, Guanlan; Hong, Hyeri – Journal of Experimental Education, 2023
Although generalizability theory (GT) designs have traditionally been analyzed within an ANOVA framework, identical results can be obtained with structural equation models (SEMs) but extended to represent multiple sources of both systematic and measurement error variance, include estimation methods less likely to produce negative variance…
Descriptors: Generalizability Theory, Structural Equation Models, Programming Languages, Scores
Igor Esnaola; Albert Sesé; Lorea Azpiazu; Yina Wang – British Journal of Educational Psychology, 2024
Background: Modelling academic self-concept through second-order factors or bifactor structures is an important issue with substantive and practical implications; besides, the bifactor model has not been analysed with a Chinese sample and cross-cultural studies in the academic self-concept are scarce. Likewise, latent structure validity evidence…
Descriptors: Academic Achievement, Self Concept, Psychometrics, Validity
Fu, Yuanshu; Wen, Zhonglin; Wang, Yang – Educational and Psychological Measurement, 2022
Composite reliability, or coefficient omega, can be estimated using structural equation modeling. Composite reliability is usually estimated under the basic independent clusters model of confirmatory factor analysis (ICM-CFA). However, due to the existence of cross-loadings, the model fit of the exploratory structural equation model (ESEM) is…
Descriptors: Comparative Analysis, Structural Equation Models, Factor Analysis, Reliability
Marcoulides, Katerina M. – Measurement: Interdisciplinary Research and Perspectives, 2019
Longitudinal data analysis has received widespread interest throughout educational, behavioral, and social science research, with latent growth curve modeling currently being one of the most popular methods of analysis. Despite the popularity of latent growth curve modeling, limited attention has been directed toward understanding the issues of…
Descriptors: Reliability, Longitudinal Studies, Growth Models, Structural Equation Models
Bayero, Saifullahi Adam – Online Submission, 2020
This study assessed the influence of entrepreneurial education (EE) and entrepreneurial attitude (EA) on the entrepreneurial intention (EI) of graduating students in a Nigerian university. Through a descriptive quantitative methods, questionnaires were distributed and retrieved from a total of 157 non-probabilistic convenience samples from the…
Descriptors: Entrepreneurship, Intention, Student Attitudes, Foreign Countries
Wang, Faming; Liu, Yaping; Leung, Shing On – School Effectiveness and School Improvement, 2022
Disciplinary climate and opportunity to learn (OTL) are considered as effectiveness-enhancing factors that can improve mathematics achievement. In this study, we investigated whether the school-level aggregation of student-reported OTL could yield reliable and valid measures, and then explored the relationships among disciplinary climate, OTL, and…
Descriptors: Mathematics Achievement, Structural Equation Models, Discipline Policy, Educational Environment
Fathalla, Mohammed Mohammed; Ibrahim, Fatima Midhat – International Journal of Psycho-Educational Sciences, 2020
The aim of this study was to assess the reliability and validity of ERQ in a group of Egyptian adolescents. 648 adolescents from middle schools in Nasr city, Egypt were recruited. These adolescents aged 14-15 years old (M=14.4, SD=2.22). Of which,400 were females (61.72%) while 248 were males (38.27%). Exploratory Factor Analysis, with CFA and…
Descriptors: Self Control, Validity, Reliability, Middle School Students
Saini, Charu; Abraham, Jessy – Journal of Computing in Higher Education, 2019
The proliferation of social media over the past two decades has compelled the educators and researchers to explore the ways and means by which these technologies have affected the education system. One of the main challenges is to assess the perceptions of the various stakeholders involved. The purpose of this study is to build a model that…
Descriptors: Social Media, Teaching Methods, Structural Equation Models, Preservice Teachers
Suyudi, Muhammad; Suyatno; Rahmatullah, Azam Syukur; Rachmawati, Yulia – European Journal of Educational Research, 2020
The paper aims to know the influence of entrepreneurial leadership on the students' entrepreneurial intentions as well as its impact on teacherpreneurship. The design employed was quantitative with the ex post facto method using Partial Least Square Structural Equation Modelling (PLS-SEM) to test the hypothesis. The samples were taken using a…
Descriptors: Entrepreneurship, Teaching Methods, Structural Equation Models, Leadership Training
Hancock, Gregory R.; An, Ji – Educational Measurement: Issues and Practice, 2018
In this ITEMS module, we frame the topic of scale reliability within a "confirmatory factor analysis" and "structural equation modeling" (SEM) context and address some of the limitations of Cronbach's a. This modeling approach has two major advantages: (1) it allows researchers to make explicit the relation between their items…
Descriptors: Reliability, Structural Equation Models, Factor Analysis, Correlation
Supriadi, Oding; Mutrofin – South African Journal of Education, 2020
The research reported on in this article was motivated by the absence of modifications to "A model for the study of classroom teaching" proposed by Dunkin and Biddle in 1974. In this paper we aim to provide revision input to "A model for the study of classroom teaching" by adding management capability to the group of school…
Descriptors: Accounting, Economics Education, Foreign Countries, Teaching Methods
Jaikaew, Pimpilai; Damrongpanit, Suntonrapot – Universal Journal of Educational Research, 2018
The research was designed to examine the effects of question setting using different conditions into 10 sets on the validity of structural equation modeling for factors affecting job morale. The data was collected from 690 personnel working in regional Statistical Offices around Thailand by using cluster random sampling. The tool used in…
Descriptors: Structural Equation Models, Questionnaires, Reliability, Multivariate Analysis