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Walter P. Vispoel; Hyeryung Lee; Hyeri Hong – Structural Equation Modeling: A Multidisciplinary Journal, 2024
We demonstrate how to analyze complete multivariate generalizability theory (GT) designs within structural equation modeling frameworks that encompass both individual subscale scores and composites formed from those scores. Results from numerous analyses of observed scores obtained from respondents who completed the recently updated form of the…
Descriptors: Structural Equation Models, Multivariate Analysis, Generalizability Theory, College Students
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Walter P. Vispoel; Hyeri Hong; Hyeryung Lee – Structural Equation Modeling: A Multidisciplinary Journal, 2024
Although generalizability theory (GT) designs typically are analyzed using analysis of variance (ANOVA) procedures, they also can be integrated into structural equation models (SEMs). In this tutorial, we review basic concepts for conducting univariate and multivariate GT analyses and demonstrate advantages of doing such analyses within SEM…
Descriptors: Structural Equation Models, Self Concept Measures, Self Esteem, Generalizability Theory
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Aitana González-Ortiz de Zárate; Helena Roig-Ester; Paulina E. Robalino Guerra; Anja Garone; Carla Quesada-Pallarès – International Journal of Training and Development, 2025
Transfer beliefs are understudied in the training transfer field, whereas structural equation modelling (SEM) has been a widely used technique to study transfer models. New methodologies are needed to study training transfer and network analysis (NA) has emerged as a new approach that provides a visual representation of a given network. We…
Descriptors: Trainees, Student Attitudes, Beliefs, Transfer of Training
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Finch, W. Holmes – Journal of Experimental Education, 2022
Multivariate analysis of variance (MANOVA) is widely used to test the null hypothesis of equal multivariate means across 2 or more groups. MANOVA rests upon an assumption that error terms are independent of one another, which can be violated if individuals are clustered or nested within groups, such as schools. Ignoring such nesting can result in…
Descriptors: Multivariate Analysis, Hypothesis Testing, Structural Equation Models, Hierarchical Linear Modeling
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Shih, Ming-Chieh; Tu, Yu-Kang – Research Synthesis Methods, 2021
Network meta-analysis (NMA) compares the efficacy and harm between several treatments by combining direct and indirect evidence. The validity of NMA requires that all available evidence form a coherent network. Failure to meet such requirement is known as inconsistency. The most popular approach to inconsistency detection is to compare the direct…
Descriptors: Networks, Meta Analysis, Evidence, Evaluation Methods
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Weiss, Selina; Steger, Diana; Schroeders, Ulrich; Wilhelm, Oliver – Journal of Intelligence, 2020
Intelligence has been declared as a necessary but not sufficient condition for creativity, which was subsequently (erroneously) translated into the so-called threshold hypothesis. This hypothesis predicts a change in the correlation between creativity and intelligence at around 1.33 standard deviations above the population mean. A closer…
Descriptors: Intelligence, Creativity, Prediction, Correlation
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Hall, James; Malmberg, Lars-Erik; Lindorff, Ariel; Baumann, Nicole; Sammons, Pam – International Journal of Research & Method in Education, 2020
This paper presents a new methodological model termed Airbag Moderation: That the relationship between two variables varies as a function of a third, and that this third variable depends upon one of the others. Airbag Moderation extends and bridges a number of theories and it can be implemented using existing statistical models and software…
Descriptors: Multivariate Analysis, Models, Evaluation Methods, Educational Research
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Toker, Turker; Green, Kathy – International Journal of Assessment Tools in Education, 2021
This study provides a comparison of the results of latent class analysis (LCA) and mixture Rasch model (MRM) analysis using data from the Trends in International Mathematics and Science Study -- 2011 (TIMSS-2011) with a focus on the 8th-grade mathematics section. The research study focuses on the comparison of LCA and MRM to determine if results…
Descriptors: Multivariate Analysis, Structural Equation Models, Item Response Theory, Achievement Tests
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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
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McNeish, Daniel – Journal of Experimental Education, 2018
Small samples are common in growth models due to financial and logistical difficulties of following people longitudinally. For similar reasons, longitudinal studies often contain missing data. Though full information maximum likelihood (FIML) is popular to accommodate missing data, the limited number of studies in this area have found that FIML…
Descriptors: Growth Models, Sampling, Sample Size, Hierarchical Linear Modeling
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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
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Peker, Adem – Eurasian Journal of Educational Research, 2017
Purpose: Cyber bullying is a new phenomenon which adversely affects young people. Exposure to the cyber bullying can negatively affect the mental health. The aim of this study is to examine the predictive effect of self-control on cyber victimization in adolescents. Research Methods: The study group was composed of 353 Turkish secondary school…
Descriptors: Self Control, Bullying, Computer Mediated Communication, Adolescents
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Bakar, Abu; Nursalam; Adriani, Merryana; Kusnanto; Qomariah, Siti Nur; Hidayati, Laily; Pratiwi, Ika Nur; Ni'mah, Lailatun – International Journal of Evaluation and Research in Education, 2017
Caring is a behavior of giving holistic assistance to individuals. In fact, this important behavior still has not routinely performed in current nursing practice. Personality and sipirituality are important factors in forming one's caring behavior. Spirituality is a passion or impulse to perform noble action. The objective of this study was to…
Descriptors: Caring, Nurses, Nursing, Religious Factors
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Kaçire, Ilhan – International Journal of Higher Education, 2016
The purpose of this study is to investigate the impact of university students' level of alienation on their general satisfaction. The study was carried out using rational screening model. The total participants of this study were 551 Dicle University students, studying at Medical, Technology, and Ziya Gökalp Education Faculty departments. The…
Descriptors: Foreign Countries, College Students, Student Satisfaction, Alienation
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Vriens, Ingrid; Moors, Guy; Gelissen, John; Vermunt, Jeroen K. – Sociological Methods & Research, 2017
Measuring values in sociological research sometimes involves the use of ranking data. A disadvantage of a ranking assignment is that the order in which the items are presented might influence the choice preferences of respondents regardless of the content being measured. The standard procedure to rule out such effects is to randomize the order of…
Descriptors: Evaluation Methods, Social Science Research, Sociology, Structural Equation Models
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