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Mauricio Garnier-Villarreal; Terrence D. Jorgensen – Grantee Submission, 2024
Model evaluation is a crucial step in SEM, consisting of two broad areas: global and local fit, where local fit indices are use to modify the original model. In the modification process, the modification index (MI) and the standardized expected parameter change (SEPC) are used to select the parameters that can be added to improve the fit. The…
Descriptors: Bayesian Statistics, Structural Equation Models, Goodness of Fit, Indexes
Chunhua Cao; Benjamin Lugu; Jujia Li – Structural Equation Modeling: A Multidisciplinary Journal, 2024
This study examined the false positive (FP) rates and sensitivity of Bayesian fit indices to structural misspecification in Bayesian structural equation modeling. The impact of measurement quality, sample size, model size, the magnitude of misspecified path effect, and the choice or prior on the performance of the fit indices was also…
Descriptors: Structural Equation Models, Bayesian Statistics, Measurement, Error of Measurement
Emma Somer; Carl Falk; Milica Miocevic – Structural Equation Modeling: A Multidisciplinary Journal, 2024
Factor Score Regression (FSR) is increasingly employed as an alternative to structural equation modeling (SEM) in small samples. Despite its popularity in psychology, the performance of FSR in multigroup models with small samples remains relatively unknown. The goal of this study was to examine the performance of FSR, namely Croon's correction and…
Descriptors: Scores, Structural Equation Models, Comparative Analysis, Sample Size
Kanadli, Sedat; Arslantas, Haci Ismail; Inandi, Yusuf – Asia Pacific Education Review, 2023
In the literature, there are a great number of primary studies that examine the relationship between professional burnout, job satisfaction, and life satisfaction of education workers and that do not have consistent results. The aim of this study is to establish a model that will explain the life satisfaction of education workers by determining…
Descriptors: Predictor Variables, Life Satisfaction, Teacher Attitudes, Foreign Countries
Deng, Lifang; Yuan, Ke-Hai – Grantee Submission, 2022
Structural equation modeling (SEM) has been deemed as a proper method when variables contain measurement errors. In contrast, path analysis with composite-scores is preferred for prediction and diagnosis of individuals. While path analysis with composite-scores has been criticized for yielding biased parameter estimates, recent literature pointed…
Descriptors: Structural Equation Models, Path Analysis, Weighted Scores, Error of Measurement
Wang, Ning; Tan, Aik-Ling; Xiao, Wu-Rong; Zeng, Feng; Xiang, Jiong; Duan, Wei – Journal of Baltic Science Education, 2021
Learning experiences can affect students' interest in STEM (science, technology, engineering, and mathematics) careers. Applying the social cognitive career theory, this study tested and compared the effect size and effect mechanism of formal learning experiences (FLE) and informal learning experiences (ILE) on 1133 tenth-grade students' interest…
Descriptors: Learning Experience, STEM Education, Vocational Interests, Structural Equation Models
Gagnon, Ryan J.; Garst, Barry A. – Journal of Outdoor Recreation, Education, and Leadership, 2019
To support practitioners' need for reliable and valid measures of the youth camp experience, this study compares the results of two analytic approaches--(1) composite-based paired samples t tests and (2) a latent structural equation model approach--using the Parental Perceptions of Developmental Outcomes (PPDO) scale in a sample of 930 parents of…
Descriptors: Parent Attitudes, Attitude Measures, Resident Camp Programs, Summer Programs
Lee, Kejin; Whittaker, Tiffany Ann – AERA Online Paper Repository, 2017
The latent growth model (LGM) in structural equation modeling (SEM) may be extended to allow for the modeling of associations among multiple latent growth trajectories, resulting in a multiple domain latent growth model (MDLGM). While the MDLGM is conceived as a more powerful multivariate analysis technique, the examination of its methodological…
Descriptors: Statistical Analysis, Growth Models, Structural Equation Models, Multivariate Analysis
Saptono, Ari; Wibowo, Agus; Narmaditya, Bagus Shandy; Karyaningsih, Rr Ponco Dewi; Yanto, Heri – Cogent Education, 2020
Demanding new ventures has been a global challenge, and the government responds to this issue through entrepreneurial education. Among the increasing studies on entrepreneurship, there is a lack of empirical evidence examining how entrepreneurial education prepares students being entrepreneurs. This study elaborates on several predicted variables…
Descriptors: Entrepreneurship, Teaching Methods, Predictor Variables, Knowledge Level
Sideridis, Georgios D.; Tsaousis, Ioannis; Alamri, Abeer A. – Educational and Psychological Measurement, 2020
The main thesis of the present study is to use the Bayesian structural equation modeling (BSEM) methodology of establishing approximate measurement invariance (A-MI) using data from a national examination in Saudi Arabia as an alternative to not meeting strong invariance criteria. Instead, we illustrate how to account for the absence of…
Descriptors: Bayesian Statistics, Structural Equation Models, Foreign Countries, Error of Measurement
Yuan, Ke-Hai; Zhang, Zhiyong; Zhao, Yanyun – Grantee Submission, 2017
The normal-distribution-based likelihood ratio statistic T[subscript ml] = nF[subscript ml] is widely used for power analysis in structural Equation modeling (SEM). In such an analysis, power and sample size are computed by assuming that T[subscript ml] follows a central chi-square distribution under H[subscript 0] and a noncentral chi-square…
Descriptors: Statistical Analysis, Evaluation Methods, Structural Equation Models, Reliability
Maslowsky, Julie; Jager, Justin; Hemken, Douglas – International Journal of Behavioral Development, 2015
Latent variables are common in psychological research. Research questions involving the interaction of two variables are likewise quite common. Methods for estimating and interpreting interactions between latent variables within a structural equation modeling framework have recently become available. The latent moderated structural equations (LMS)…
Descriptors: Structural Equation Models, Computation, Goodness of Fit, Effect Size
Kalis, Emils; Roke, Liga; Krumina, Indra – Journal of Creative Behavior, 2016
The Test for Creative Thinking-Drawing Production (TCT-DP) is designed as an effective drawing-based instrument for measuring creative potential. Many studies report adaptation efforts in other cultures pointing out good psychometric properties of the instrument nonetheless revealing also some trouble spots. The present study includes adaptation…
Descriptors: Creative Thinking, Foreign Countries, Psychometrics, Gender Differences
Choi, Sunha – Health Education & Behavior, 2018
Using 2-year panel data, this study examined (1) whether experiencing financial hardship associated with out-of-pocket medical expenditures affected delaying/missing necessary health care in the following year; (2) whether such financial hardship mediated the effects of predisposing, enabling, and need characteristics on timely health care access…
Descriptors: Health Services, Health Behavior, Medical Care Evaluation, Medical Services
Wanzek, Jeanne; Petscher, Yaacov; Otaiba, Stephanie Al; Rivas, Brenna K.; Jones, Francesca G.; Kent, Shawn C.; Schatschneider, Christopher; Mehta, Paras – Journal of Educational Psychology, 2017
Research examining effective reading interventions for students with reading difficulties in the upper elementary grades is limited relative to the information available for the early elementary grades. In the current study, we examined the effects of a multicomponent reading intervention for students with reading comprehension difficulties. We…
Descriptors: Elementary School Students, Grade 4, Supplementary Education, Remedial Reading