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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
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Rai, Abha; Lee, Sunwoo; Jang, Jungwoo; Lee, Eunhye; Okech, David – Journal of Teaching in Social Work, 2022
The use of structural equation modeling (SEM) techniques in social work has increased over the last two decades. We therefore conducted a systematic review to understand the extent to which SEM is utilized in social work research, given that statistical training is now becoming a part of social work doctoral education. For our review, we utilized…
Descriptors: Structural Equation Models, Social Work, Social Science Research, Experiential Learning
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Karakaya-Ozyer, Kubra; Aksu-Dunya, Beyza – International Journal of Research in Education and Science, 2018
Structural equation modeling (SEM) is one of the most popular multivariate statistical techniques in Turkish educational research. This study elaborates the SEM procedures employed by 75 educational research articles which were published from 2010 to 2015 in Turkey. After documenting and coding 75 academic papers, categorical frequencies and…
Descriptors: Literature Reviews, Structural Equation Models, Educational Technology, Multivariate Analysis
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Green, Teegan – Studies in Higher Education, 2016
Despite increases in the number of articles published in higher education journals using structural equation modelling (SEM), research addressing their statistical sufficiency, methodological appropriateness and quantitative rigour is sparse. In response, this article provides a census of all covariance-based SEM articles published up until 2013…
Descriptors: Higher Education, Educational Research, Structural Equation Models, Sample Size
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Hoelscher, Michael – Research in Comparative and International Education, 2017
This article argues that strong interrelations between methodological and theoretical advances exist. Progress in, especially comparative, methods may have important impacts on theory evaluation. By using the example of the "Varieties of Capitalism" approach and an international comparison of higher education systems, it can be shown…
Descriptors: Higher Education, Comparative Education, Research Methodology, Cross Cultural Studies
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Prayitno, Hadi; Suwandi, Tjipto; Hamidah – International Journal of Evaluation and Research in Education, 2016
The incidence of work accidents in the construction industry particularly in Indonesia and generally internationally shows an increasingly worrying trend given that either quantitatively or qualitatively the number of work accidents is very large compared to that of other industrial sectors. The main causing factors are mostly due to the workers'…
Descriptors: Occupational Safety and Health, Labor Standards, Foreign Countries, Accidents
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Beard, Karen Stansberry; Hoy, Wayne K. – Educational Administration Quarterly, 2010
Purpose: This inquiry is the first comprehensive, empirical analysis of the nature and measurement of flow in elementary teachers. The clearest sign of flow is the merging of action and awareness, that is, the degree to which an activity becomes spontaneous and automatic and individuals lose conscious awareness of themselves as they perform a task…
Descriptors: Elementary School Teachers, Instruction, Psychological Patterns, Satisfaction
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Asparouhov, Tihomir; Muthen, Bengt – Structural Equation Modeling: A Multidisciplinary Journal, 2009
Exploratory factor analysis (EFA) is a frequently used multivariate analysis technique in statistics. Jennrich and Sampson (1966) solved a significant EFA factor loading matrix rotation problem by deriving the direct Quartimin rotation. Jennrich was also the first to develop standard errors for rotated solutions, although these have still not made…
Descriptors: Structural Equation Models, Testing, Factor Analysis, Research Methodology
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Schumacker, Randall E. – Structural Equation Modeling: A Multidisciplinary Journal, 2006
Amos 5.0 (Arbuckle, 2003) permits exploratory specification searches for the best theoretical model given an initial model using the following fit function criteria: chi-square (C), chi-square--df (C--df), Akaike Information Criteria (AIC), Browne-Cudeck criterion (BCC), Bayes Information Criterion (BIC) , chi-square divided by the degrees of…
Descriptors: Computer Software, Structural Equation Models, Models, Search Strategies
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van den Putte, Bas; Hoogstraten, Johan – Structural Equation Modeling, 1997
Problems found in the application of structural equation modeling to the theory of reasoned action are explored, and an alternative model specification is proposed that improves the fit of the data while leaving intact the structural part of the model being tested. Problems and the proposed alternative are illustrated. (SLD)
Descriptors: Goodness of Fit, Mathematical Models, Research Methodology, Structural Equation Models
Newman, Isadore; And Others – 1994
In this paper the binomial index of model fit is applied to four path-analytic or structural-equation models to demonstrate how this goodness-of-fit measure can be used and interpreted. In addition, the conclusions derived from the results of the binomial index of goodness of fit were compared to the statements presented by the authors of the…
Descriptors: Goodness of Fit, Heuristics, Path Analysis, Research Methodology
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Mueller, Ralph O. – Structural Equation Modeling, 1997
Basic philosophical and statistical issues in structural equation modeling (SEM) are reviewed, including model conceptualization, identification, and parameter estimation and data-model-fit assessment and model modification. These issues should be addressed before the researcher uses any of the new generation of SEM software. (SLD)
Descriptors: Computer Software, Estimation (Mathematics), Goodness of Fit, Identification
Volkan, Kevin – 1987
Structural equation modeling has become increasingly popular as a technique for the analysis of non-experimental data in the social sciences. This increase can be traced in part to the development of computer programs that facilitate structural equation modeling. The Linear Structural Relations (LISREL) program is the most widely used tool for…
Descriptors: Computer Software Reviews, Data Interpretation, Goodness of Fit, Mathematical Models
Schumacker, Randall E. – 1992
Several goodness of fit (GOF) criteria have been developed to assist the researcher in interpreting structural equation models. However, the determination of GOF for structural equation models is not as straightforward as that for other statistical approaches in multivariate procedures. The four GOF criteria used across the commonly used…
Descriptors: Chi Square, Comparative Analysis, Equations (Mathematics), Estimation (Mathematics)
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Mayer, Matthew J. – Journal of School Violence, 2004
Methodological challenges associated with structural equation modeling (SEM) and structured means modeling (SMM) in research on school violence and related topics in the social and behavioral sciences are examined. Problems associated with multiyear implementations of large-scale surveys are discussed. Complex sample designs, part of any…
Descriptors: Violence, Structural Equation Models, Research Methodology, Measures (Individuals)
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