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Showing 1 to 15 of 63 results Save | Export
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Haixiang Zhang – Structural Equation Modeling: A Multidisciplinary Journal, 2025
Mediation analysis is an important statistical tool in many research fields, where the joint significance test is widely utilized for examining mediation effects. Nevertheless, the limitation of this mediation testing method stems from its conservative Type I error, which reduces its statistical power and imposes certain constraints on its…
Descriptors: Structural Equation Models, Statistical Significance, Robustness (Statistics), Comparative Testing
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Dandan Tang; Steven M. Boker; Xin Tong – Structural Equation Modeling: A Multidisciplinary Journal, 2025
The replication crisis in social and behavioral sciences has raised concerns about the reliability and validity of empirical studies. While research in the literature has explored contributing factors to this crisis, the issues related to analytical tools have received less attention. This study focuses on a widely used analytical tool -…
Descriptors: Test Validity, Factor Analysis, Replication (Evaluation), Social Science Research
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
Mai, Yujiao; Zhang, Zhiyong; Wen, Zhonglin – Grantee Submission, 2018
Exploratory structural equation modeling (ESEM) is an approach for analysis of latent variables using exploratory factor analysis to evaluate the measurement model. This study compared ESEM with two dominant approaches for multiple regression with latent variables, structural equation modeling (SEM) and manifest regression analysis (MRA). Main…
Descriptors: Structural Equation Models, Multiple Regression Analysis, Comparative Analysis, Statistical Bias
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Kang, Yoonjeong; Hancock, Gregory R. – Journal of Experimental Education, 2017
Structured means analysis is a very useful approach for testing hypotheses about population means on latent constructs. In such models, a z test is most commonly used for testing the statistical significance of the relevant parameter estimates or of the differences between parameter estimates, where a z value is computed based on the asymptotic…
Descriptors: Models, Statistical Analysis, Hypothesis Testing, Statistical Significance
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Sabanci, Ali; Sahin, Ahmet; Özdemir, Izzet – Online Submission, 2018
The purpose of this study was to explore the correlation between interpersonal communication skills and conflict management strategies in the case of inspection groups constituted by a number of inspectors based on the geographical and demographic dispersion of the school population in Turkey. This research was conducted as a survey. The…
Descriptors: Correlation, Interpersonal Communication, Conflict Resolution, Interpersonal Competence
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Leth-Steensen, Craig; Gallitto, Elena – Educational and Psychological Measurement, 2016
A large number of approaches have been proposed for estimating and testing the significance of indirect effects in mediation models. In this study, four sets of Monte Carlo simulations involving full latent variable structural equation models were run in order to contrast the effectiveness of the currently popular bias-corrected bootstrapping…
Descriptors: Mediation Theory, Structural Equation Models, Monte Carlo Methods, Simulation
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McKim, Aaron J.; Pauley, C. M.; Velez, Jonathan J.; Sorensen, Tyson J. – Journal of Agricultural Education, 2017
Learning environments combining agriculture, food, natural resources, and leadership knowledge and skills are increasingly essential in preparing students for future success. School-based agricultural education offers a premier context in which to teach leadership within agriculture, food, and natural resources curriculum. However, providing…
Descriptors: Leadership Training, Agricultural Education, Food, Natural Resources
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González, Antonio; Fernández, María-Victoria Carrera; Paoloni, Paola-Verónica – Journal of Research in Science Teaching, 2017
Recent research on achievement in science asserts that motivation, emotion, and metacognition are important driving forces for learning. This study sought to examine the relationships between two physics class emotions (hope and anxiety), their motivational predictors (instrumentality and self-efficacy), and their effects on metacognitive problem…
Descriptors: Psychological Patterns, Anxiety, Physics, Learning Motivation
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Mahmoodi-Shahrebabaki, Masoud – Alberta Journal of Educational Research, 2015
The present study aimed to investigate the effects of language teachers' time management and creativity skills on their burnout levels. The sample consisted of 213 Iranian language teachers. The Maslach Burnout Inventory (MBI), Creative Behavior Inventory (CBI) and Time Management Skills Questionnaire (TMSQ) were employed for data collection. By…
Descriptors: Foreign Countries, Language Teachers, Time Management, Creativity
Spear, Caitlin F.; Piasta, Shayne B.; Yeomans-Maldonado, Gloria; Ottley, Jennifer R.; Justice, Laura M.; O'Connell, Ann A. – Journal of Teacher Education, 2018
In this study, we provide a contemporary examination of the similarities and differences between early childhood general educators (ECEs) and early childhood special educators (ECSEs) within a theoretically driven model that accounted for the associations of beliefs and knowledge with practice. We used structural equation modeling to examine the…
Descriptors: Early Childhood Education, Regular and Special Education Relationship, Special Education Teachers, Preschool Teachers
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Holmes, William T.; Parker, Michele A. – School Leadership & Management, 2018
Utilising the oral language of a principal leading an inner-city at-risk elementary school in a large urban school district in the southwestern USA, the researchers tested behavioural integrity and the dimensions of source credibility (competence, goodwill, and trustworthiness) as antecedents to Motivating Language Theory and the ML Model. Teacher…
Descriptors: Correlation, Behavior, Integrity, Competence
Kristine E. Larson; Elise T. Pas; Catherine P. Bradshaw; Michael S. Rosenberg; Norma L. Day-Vines – Grantee Submission, 2018
The discipline gap between White students and students of color has increased demand for teacher training in culturally responsive and behavior management practices. Extant research, however, is inconclusive about how culturally responsive teaching practices relate to student behavior or how to assess using such practices in the classroom.…
Descriptors: Student Behavior, Culturally Relevant Education, Teaching Models, Teaching Methods
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Kristine E. Larson; Elise T. Pas; Catherine P. Bradshaw; Michael S. Rosenberg; Norma L. Day-Vines – School Psychology Review, 2018
The discipline gap between White students and African American students has increased demand for teacher training in culturally responsive and behavior management practices. Extant research, however, is inconclusive about how culturally responsive teaching practices relate to student behavior or how to assess using such practices in the classroom.…
Descriptors: Student Behavior, Culturally Relevant Education, Teaching Models, Teaching Methods
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Abbott, Robert D.; Fayol, Michel; Zorman, Michel; Casalis, Séverine; Nagy, William; Berninger, Virginia W. – Canadian Journal of School Psychology, 2016
Two longitudinal studies of word reading, spelling, and reading comprehension identified commonalities and differences in morphophonemic orthographies--French (Study 1, n = 1,313) or English (Study 2, n = 114) in early childhood (Grade 2)and middle childhood (Grade 5). For French and English, statistically significant concurrent relationships…
Descriptors: French, Reading Comprehension, Teaching Methods, Morphology (Languages)
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