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Reise, Steven P. – Multivariate Behavioral Research, 2012
Bifactor latent structures were introduced over 70 years ago, but only recently has bifactor modeling been rediscovered as an effective approach to modeling "construct-relevant" multidimensionality in a set of ordered categorical item responses. I begin by describing the Schmid-Leiman bifactor procedure (Schmid & Leiman, 1957) and highlight its…
Descriptors: Models, Factor Structure, Factor Analysis, Correlation
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Ferrando, Pere J. – Multivariate Behavioral Research, 2007
This paper proposes procedures for assessing the fit of a psychometric model at the level of the individual respondent. The procedures are intended for personality measures made up of Likert-type items, which, in applied research, are usually analyzed by means of factor analysis. Two scalability indices are proposed, which can be considered as…
Descriptors: Personality, Personality Measures, Factor Analysis, Psychometrics
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Phillips, Glenn A.; Shadish, William R.; Murray, David M.; Kubik, Martha; Lytle, Leslie A.; Birnbaum, Amanda S. – Multivariate Behavioral Research, 2006
The Center for Epidemiological Studies Depression scale (CES-D) was developed to assess the population prevalence of depression. The CES-D was developed and normed on an adult population. Since the CES-D's publication, various studies have both used and psychometrically assessed the scale for older adolescent populations. However, we found no…
Descriptors: Factor Analysis, Early Adolescents, Epidemiology, Depression (Psychology)
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Ferrando, Pere J.; Lorenzo-Seva, Urbano – Multivariate Behavioral Research, 2007
This article describes a model for response times that is proposed as a supplement to the usual factor-analytic model for responses to graded or more continuous typical-response items. The use of the proposed model together with the factor model provides additional information about the respondent and can potentially increase the accuracy of the…
Descriptors: Reaction Time, Item Response Theory, Computation, Likert Scales
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Goffin, Richard D.; Jackson, Douglas N. – Multivariate Behavioral Research, 1988
The structural validity of the Index of Organizational Reactions (IOR)--an eight-factor job satisfaction scale--was investigated via confirmatory factor analysis. Results of first- and second-order factor analyses of data concerning a stratified random sample of 445 employees of a large financial institution are reported. (TJH)
Descriptors: Construct Validity, Employee Attitudes, Factor Analysis, Job Satisfaction
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Roskam, Edward E.; And Others – Multivariate Behavioral Research, 1992
First- and second-round commentaries on an article by L. Guttman are presented. The following authors responded, with two articles each: (1) E. E. Roskam and J. Ellis; (2) P. H. Schonemann; (3) A. R. Jensen; (4) J. C. Loehlin; and (5) J.-E. Gustafsson. (SLD)
Descriptors: Factor Analysis, Groups, Intelligence, Mathematical Models
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Schulenberg, John E.; And Others – Multivariate Behavioral Research, 1988
To examine the magnitude/nature of short-term fluctuations in work values, seven college students completed the Work Values Inventory daily for approximately 100 days. Results of factor analysis cast doubt on the hypothesis that work values behave exclusively as trait-like dimensions and recommend better use of idiographic approaches. (TJH)
Descriptors: Factor Analysis, Higher Education, Personality Traits, Psychometrics
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McDonald, Roderick P. – Multivariate Behavioral Research, 1979
Two major and two minor principles are shown to serve to generate a large number of multivariate models, including canonical analysis, factor analysis, and latent trait test theory. The statistical underpinnings of the theory are discussed. (Author/JKS)
Descriptors: Analysis of Variance, Data Analysis, Factor Analysis, Mathematical Models
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Ofir, Chezy; And Others – Multivariate Behavioral Research, 1987
Three frequently used response formats are compared via analysis of covariance structures. The cumulative results based on four data sets provided evidence inconsistent with previous research suggesting that these formats are interchangeable. The semantic-differential format is most preferred while in most cases the Stapel format is least…
Descriptors: Analysis of Covariance, Factor Analysis, Hypothesis Testing, Mathematical Models
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Marsh, Herbert W.; Richards, Gary E. – Multivariate Behavioral Research, 1987
The factorial structure of the Rotter Internal-External (IE) scale was examined. While there was strong evidence against the unidimensionality of the Rotter scale, the findings suggested that the first-order factors do define a single higher-order construct that may represent the generalized IE construct. (Author/LMO)
Descriptors: Construct Validity, Factor Analysis, Factor Structure, Goodness of Fit
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Guttman, Louis – Multivariate Behavioral Research, 1992
Argues that Jensen's article contains an inaccurate and misleading account of Spearman's work and distorts the basic concepts of factor analysis. The target article has failed in all its main objectives; its major failing is a result of the irrelevance of factor analysis to the study of group differences. (SLD)
Descriptors: Blacks, Equations (Mathematics), Factor Analysis, Groups
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Cronbach, Lee J. – Multivariate Behavioral Research, 1984
This article describes the evolution of Raymond B. Cattell's data box (covariation chart), a synoptic conception of psychological data, from its introduction in 1946. Analytical techniques and related methodologies developed from this model by Cattell and other psychological researchers are discussed. (BS)
Descriptors: Experimental Psychology, Factor Analysis, Longitudinal Studies, Models
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McArdle, J. Jack – Multivariate Behavioral Research, 1984
The many methodological contributions of Raymond B. Cattell to multivariate analysis are discussed in terms of contemporary issues in structural equation modeling. His factor analytic approach is compared with current modeling practices. A critical evaluation finds much of Cattell's work still innovative, technically advanced, and valuable to…
Descriptors: Analysis of Variance, Comparative Analysis, Estimation (Mathematics), Evaluation
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Byrne, Barbara M. – Multivariate Behavioral Research, 1988
Exploratory and confirmatory factor analyses were used to investigate the factorial validity across gender of the Self-Description Questionnaire III (SDQ III) subscales measuring general, school, English, and mathematics self-concepts. When administered to 516 male/475 female 11th/12th graders in Ottawa (Canada), the questionnaire demonstrated…
Descriptors: English, Factor Analysis, Foreign Countries, Grade 11