NotesFAQContact Us
Collection
Advanced
Search Tips
Publication Date
In 20260
Since 20250
Since 2022 (last 5 years)0
Since 2017 (last 10 years)1
Since 2007 (last 20 years)5
Audience
Laws, Policies, & Programs
What Works Clearinghouse Rating
Showing all 11 results Save | Export
Peer reviewed Peer reviewed
PDF on ERIC Download full text
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
Peer reviewed Peer reviewed
Direct linkDirect link
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
Peer reviewed Peer reviewed
Direct linkDirect link
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
Peer reviewed Peer reviewed
Direct linkDirect link
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)
Peer reviewed Peer reviewed
Direct linkDirect link
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
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
Peer reviewed Peer reviewed
Direct linkDirect link
Martin, Andrew J. – British Journal of Educational Psychology, 2006
Background: This study seeks to identify the cornerstones of personal bests (PBs) in the educational setting. Aims: The study proposes a multidimensional PB model in which students are most likely to attain PBs on tasks/goals that are (1) specific, (2) challenging, (3) competitively self-referenced, and (4) self-improvement based. Sample: The…
Descriptors: Persistence, Data Analysis, Multidimensional Scaling, Factor Analysis
Peer reviewed Peer reviewed
Kenny, David A.; Zautra, Alex – Journal of Consulting and Clinical Psychology, 1995
Describes a new approach for analyzing an individual's responses made at multiple times. Proposes that three sources of variance determine a person's current standing on a variable: trait (term does not change), state (term changes), and error (random term). Shows how structural equation modeling can be used and presents an extended example. (RJM)
Descriptors: Clinical Psychology, Factor Analysis, Factor Structure, Item Analysis
Peer reviewed Peer reviewed
Direct linkDirect link
Aberg-Bengtsson, Lisbeth; Erickson, Gudrun – Educational Research and Evaluation, 2006
The research project presented in this article was set in the Swedish school context and carried out on a set of compulsory national tests for English, Swedish, and mathematics used at the end of compulsory school. The aims were: (a) to gain a deeper knowledge of the internal structure of the tests and (b) to separate individual performance from…
Descriptors: Individual Testing, Factor Analysis, Structural Equation Models, Foreign Countries
Peer reviewed Peer reviewed
Direct linkDirect link
Marsh, Herbert W.; Tracey, Danielle K.; Craven, Rhonda G. – Educational and Psychological Measurement, 2006
Confirmatory factor analysis of responses by 211 preadolescents (M age = 10.25 years,SD = 1.48) with mild intellectual disabilities (MIDs) to the individually administered Self Description Questionnaire I-Individual Administration (SDQI-IA) counters widely cited claims that these children cannot differentiate multiple self-concept factors. Results…
Descriptors: Multidimensional Scaling, Self Concept, Preadolescents, Mild Mental Retardation