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Tenko Raykov; Bingsheng Zhang – Structural Equation Modeling: A Multidisciplinary Journal, 2024
Multidimensional measuring instruments are often used in behavioral, social, educational, marketing, and biomedical research. For these scales, the paper discusses how to find the optimal score based on their components that is associated with the highest possible reliability. Within the framework of structural equation modeling, an approach to…
Descriptors: Multidimensional Scaling, Measurement Equipment, Measurement Techniques, Test Reliability
Joo, Soohyung; Kipp, Margaret E. I. – Information Research: An International Electronic Journal, 2015
Introduction: This study examines the structure of Web space in the field of library and information science using multivariate analysis of social tags from the Website, Delicious.com. A few studies have examined mathematical modelling of tags, mainly examining tagging in terms of tripartite graphs, pattern tracing and descriptive statistics. This…
Descriptors: Web Sites, Library Science, Information Science, Multivariate Analysis
Balkis, Murat – Asia Pacific Journal of Education, 2018
The purpose of the current study is to examine the mediation role of academic achievement and absenteeism in the relationship between multidimensional amotivation and intention to school dropout among Turkish high school students. The results have shown that multidimensional amotivation has direct and indirect effects on intention to school…
Descriptors: Intention, Learning Motivation, Dropout Characteristics, Academic Achievement
Dogan, Ugur; Celik, Eyup – Educational Sciences: Theory and Practice, 2014
In this study, the authors examined the relationship between students' life satisfaction, school engagement, and confidence in the classroom. An analysis was performed of how students' life satisfaction differs according to their housing, school type, and classroom level. The multidimensional student satisfaction scale, confidence scale in the…
Descriptors: Life Satisfaction, Classroom Environment, Self Efficacy, Student Participation
Perry, John L.; Nicholls, Adam R.; Clough, Peter J.; Crust, Lee – Measurement in Physical Education and Exercise Science, 2015
Despite the limitations of overgeneralizing cutoff values for confirmatory factor analysis (CFA; e.g., Marsh, Hau, & Wen, 2004), they are still often employed as golden rules for assessing factorial validity in sport and exercise psychology. The purpose of this study was to investigate the appropriateness of using the CFA approach with these…
Descriptors: Factor Analysis, Structural Equation Models, Goodness of Fit, Sport Psychology
Marsh, Herbert W.; Ludtke, Oliver; Nagengast, Benjamin; Trautwein, Ulrich; Morin, Alexandre J. S.; Abduljabbar, Adel S.; Koller, Olaf – Educational Psychologist, 2012
Classroom context and climate are inherently classroom-level (L2) constructs, but applied researchers sometimes--inappropriately--represent them by student-level (L1) responses in single-level models rather than more appropriate multilevel models. Here we focus on important conceptual issues (distinctions between climate and contextual variables;…
Descriptors: Foreign Countries, Classroom Environment, Educational Research, Research Design
Kunter, Mareike; Klusmann, Uta; Baumert, Jürgen; Richter, Dirk; Voss, Thamar; Hachfeld, Axinja – Journal of Educational Psychology, 2013
This study investigates teachers' pedagogical content knowledge, professional beliefs, work-related motivation, and self-regulation as aspects of their professional competence. Specifically, it examines how these aspects impact instruction and, in turn, student outcomes. In a nationally representative sample of 194 German secondary school…
Descriptors: Student Development, Instructional Effectiveness, Professional Development, Teacher Competencies
Federici, Roger A.; Skaalvik, Einar M. – Social Psychology of Education: An International Journal, 2011
One purpose of the present study was to develop and test the factor structure of a multidimensional and hierarchical Norwegian Principal Self-Efficacy Scale (NPSES). Another purpose of the study was to investigate the relationship between principal self-efficacy and work engagement. Principal self-efficacy was measured by the 22-item NPSES. Work…
Descriptors: Structural Equation Models, Self Efficacy, Factor Structure, Measures (Individuals)
Klassen, Robert M.; Aldhafri, Said; Mansfield, Caroline F.; Purwanto, Edy; Siu, Angela F. Y.; Wong, Marina W.; Woods-McConney, Amanda – Journal of Experimental Education, 2012
This study explored the validity of the Utrecht Work Engagement Scale in a sample of 853 practicing teachers from Australia, Canada, China (Hong Kong), Indonesia, and Oman. The authors used multigroup confirmatory factor analysis to test the factor structure and measurement invariance across settings, after which they examined the relationships…
Descriptors: Job Satisfaction, Factor Structure, Measures (Individuals), Factor Analysis
Rodriguez-Campos, Liliana; Rincones-Gomez, Rigoberto; Shen, Jianping – Frontiers of Education in China, 2008
Structural Equation Modeling (SEM) was used in this study to determine the extent to which teachers, principals, and superintendents perceive the leadership construct in the same way. The researchers found that the two-factor model fits the principal group and particularly the superintendent group better than does the four-factor model. The…
Descriptors: Structural Equation Models, Superintendents, Principals, Teacher Attitudes
Chang, Huo-Tsan; Chi, Nai-Wen; Miao, Min-Chih – Journal of Vocational Behavior, 2007
This study explored the relationship between three-component organizational/occupational commitment and organizational/occupational turnover intention, and the reciprocal relationship between organizational and occupational turnover intention with a non-recursive model in collectivist cultural settings. We selected 177 nursing staffs out of 30…
Descriptors: Foreign Countries, Intention, Nursing, Labor Turnover
Kim, Se-Kang; Davison, Mark L. – 2003
This study was designed to explain how Profile Analysis via Multidimensional Scaling (PAMS) could be viewed as a structural equations model (SEM). The study replicated the major profiles extracted from PAMS in the context of the latent variables in SEM. Data involved the Basic Theme Scales of the Strong Campbell Interest Inventory (Campbell and…
Descriptors: Adults, Factor Analysis, Factor Structure, Interest Inventories
Kim, Se-Kang; Davison, Mark L. – 2000
This study described an explicit multidimensional scaling (MDS) model for profile data, the Profile Analysis via Multidimensional Scaling (PAMS) model. It also illustrated the application of this model to the study of the structure of cognitive ability patterns using the Woodcock-Johnson Psychoeducational Battery-Revised (WJPB-R; 1989; 1991) and…
Descriptors: Adults, Cognitive Ability, Factor Analysis, Factor Structure
Darcy, Maria U. A.; Tracey, Terence J. G. – Journal of Counseling Psychology, 2007
The authors examined circumplex models of interest structure across time (Grades 8, 10, and 12), gender, and analytic method in a secondary analysis of vocational interest type (Realistic, Investigative, Artistic, Social, Enterprising, and Conventional) data generated from the American College Testing database (national sample of 69,987 students).…
Descriptors: Grade 8, Structural Equation Models, Multidimensional Scaling, Vocational Interests
Ding, Cody S.; Davison, Mark L.; Petersen, Anne C. – Journal of Educational Measurement, 2005
Latent growth curve modeling provides a powerful and flexible tool for researchers to study individual differences in change as well as the correlates and predictors of change. Recent developments in estimation and hypothesis testing procedures are largely based on confirmatory structural equation approaches. In this article, an alternative…
Descriptors: Pattern Recognition, Multidimensional Scaling, Hypothesis Testing, Individual Differences
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