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Peer reviewedJohnson, William L.; Johnson, Annabel M.; Heimberg, Felix – Educational and Psychological Measurement, 1999
Examined the factor structure of the Organizational Identification Questionnaire (G. Cheney, 1982), widely used to assess organizational identification. Analysis of results from 369 social-service employers yields four first-order and two second-order components. Contains 33 references. (SLD)
Descriptors: Employers, Factor Analysis, Factor Structure, Social Services
Peer reviewedYung, Yiu-Fai; Thissen, David; McLeod, Lori D. – Psychometrika, 1999
Explores the relationship between the higher-order factor model and the hierarchical factor model and shows that the Schmid-Leiman transformation process (J. Schmid and J. Leiman, 1957) produces constrained hierarchical factor solutions. Shows that the two models are not mathematically equivalent unless appropriate direct effects are added. (SLD)
Descriptors: Comparative Analysis, Factor Analysis, Factor Structure, Models
Peer reviewedGoodwin, Laura D.; Goodwin, William L. – School Psychology Quarterly, 1999
Presents frequently encountered measurement misconceptions and various measurement "rules." Origins of the misconceptions and rules are described, along with the reasons why they are problematic. Alternate approaches or considerations are given. Misconceptions discussed pertain to the estimation of internal consistency reliability and item…
Descriptors: Factor Analysis, Measures (Individuals), Psychology, Reliability
Peer reviewedBenson, Jeri; Nasser, Fadia – Journal of Vocational Education Research, 1998
Discusses the conceptual/theoretical design, statistical, and reporting issues in choosing factor analysis for research. Provides questions to consider when planning, analyzing, or reporting an exploratory factor analysis study. (SK)
Descriptors: Educational Research, Factor Analysis, Research Methodology, Statistics
Peer reviewedNewton, Rae R.; Connelly, Cynthia Donaldson; Landsverk, John A. – Educational and Psychological Measurement, 2001
Investigated descriptive statistics for and factor validity of scores on the Revised Conflict Tactics Scale (CTS2) (M. Straus, 1979) based on the responses of 295 high-risk postpartum women. Results are similar to those obtained from a sample of college students in a previous study and support a five-factor model. (SLD)
Descriptors: Conflict, Factor Analysis, Factor Structure, Females
Peer reviewedHarshman, Richard A.; Lundy, Margaret E. – Psychometrika, 1996
Some three-way factor analysis and multidimensional scaling models incorporate the principle of parallel proportional profiles of R. B. Cattell. Proof is presented for a unique axis orientation for a more general parallel profiles model that incorporates interacting dimensions. Special cases of PARAFAC2 and CANDECOMP models are discussed. (SLD)
Descriptors: Factor Analysis, Interaction, Models, Multidimensional Scaling
Peer reviewedBernaards, Coen A.; Sijtsma, Klaas – Multivariate Behavioral Research, 2000
Using simulation, studied the influence of each of 12 imputation methods and 2 methods using the EM algorithm on the results of maximum likelihood factor analysis as compared with results from the complete data factor analysis (no missing scores). Discusses why EM methods recovered complete data factor loadings better than imputation methods. (SLD)
Descriptors: Factor Analysis, Maximum Likelihood Statistics, Questionnaires, Simulation
Peer reviewedUtsey, Shawn O. – Measurement and Evaluation in Counseling and Development, 1999
This article describes the development and validation of a short version of the Index of Race-Related Stress - Brief Version (IRSS-B). The IRRS-B is a 22-item, multidimensional measure of the race-related stress experienced by African Americans as a result of their encounters with racism. (Author/MKA)
Descriptors: Blacks, Factor Analysis, Racial Bias, Readability
Peer reviewedHancock, Gregory R.; Kuo, Wen-Ling; Lawrence, Frank R. – Structural Equation Modeling, 2001
Using higher order factor models, this article illustrates latent curve analysis for the purpose of modeling longitudinal change directly in a latent construct. Provides examples with simultaneous estimation of covariance and mean structures for a single-group and two-group structure. (SLD)
Descriptors: Analysis of Covariance, Factor Analysis, Mathematical Models
Millsap, Roger E.; Kwok, Oi-Man – Psychological Methods, 2004
Studies of factorial invariance examine whether a common factor model holds across multiple populations with identical parameter values. Partial factorial invariance exists when some, but not all, parameters are invariant. The literature on factorial invariance is unclear about what should be done if partial invariance is found. One approach to…
Descriptors: Factor Structure, Factor Analysis, Measures (Individuals), Models
Christie, Bruce; Collyer, Jenny – British Journal of Educational Technology, 2005
Multimedia technology in principle may help speakers to deliver more effective presentations. The present study examined what effectiveness might mean in terms of audience reaction. Understanding that may help educators to use multimedia more effectively themselves and to help their students to do so. Descriptors were elicited from audiences in…
Descriptors: Audience Response, Rating Scales, Factor Analysis, Audiences
Gagne, Phill; Hancock, Gregory R. – Multivariate Behavioral Research, 2006
Sample size recommendations in confirmatory factor analysis (CFA) have recently shifted away from observations per variable or per parameter toward consideration of model quality. Extending research by Marsh, Hau, Balla, and Grayson (1998), simulations were conducted to determine the extent to which CFA model convergence and parameter estimation…
Descriptors: Sample Size, Factor Analysis, Computation, Models
Warburton, Jeni; Dyer, Matthew – Educational Gerontology, 2004
This paper discusses a study that examined why older people volunteer for a research registry based at the University of Queensland, Australia. A mailed questionnaire was utilized to explore a list of reported motives developed from an in-depth qualitative phase. An exploratory factor analysis of the findings was conducted, which showed that there…
Descriptors: Foreign Countries, Volunteers, Factor Analysis, Factor Structure
Kenny, M.C. – Child Abuse and Neglect: The International Journal, 2004
Objective:: The purpose of this study was to determine teachers' self-reported knowledge of the signs and symptoms of child maltreatment, reporting procedures, legal issues surrounding child abuse and their attitudes toward corporal punishment. In addition, a factor analysis was performed on the Educators and Child Abuse Questionnaire (ECAQ)…
Descriptors: Punishment, Legal Problems, Factor Analysis, Child Abuse
Haig, Brian D. – Multivariate Behavioral Research, 2005
This article examines the methodological foundations of exploratory factor analysis (EFA) and suggests that it is properly construed as a method for generating explanatory theories. In the first half of the article it is argued that EFA should be understood as an abductive method of theory generation that exploits an important precept of…
Descriptors: Scientific Methodology, Factor Analysis, Factor Structure, Theories

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