NotesFAQContact Us
Collection
Advanced
Search Tips
Showing 1 to 15 of 19 results Save | Export
Peer reviewed Peer reviewed
Direct linkDirect link
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
Peer reviewed Peer reviewed
Direct linkDirect link
Sinharay, Sandip; Puhan, Gautam; Haberman, Shelby J. – Multivariate Behavioral Research, 2010
Diagnostic scores are of increasing interest in educational testing due to their potential remedial and instructional benefit. Naturally, the number of educational tests that report diagnostic scores is on the rise, as are the number of research publications on such scores. This article provides a critical evaluation of diagnostic score reporting…
Descriptors: Educational Testing, Scores, Reports, Psychometrics
Peer reviewed Peer reviewed
Direct linkDirect link
Biesanz, Jeremy C. – Multivariate Behavioral Research, 2010
The social accuracy model of interpersonal perception (SAM) is a componential model that estimates perceiver and target effects of different components of accuracy across traits simultaneously. For instance, Jane may be generally accurate in her perceptions of others and thus high in "perceptive accuracy"--the extent to which a particular…
Descriptors: Social Cognition, Interpersonal Relationship, Interpersonal Competence, Individual Differences
Peer reviewed Peer reviewed
Direct linkDirect link
Yuan, Ke-Hai; Lu, Laura – Multivariate Behavioral Research, 2008
This article provides the theory and application of the 2-stage maximum likelihood (ML) procedure for structural equation modeling (SEM) with missing data. The validity of this procedure does not require the assumption of a normally distributed population. When the population is normally distributed and all missing data are missing at random…
Descriptors: Structural Equation Models, Validity, Data Analysis, Computation
Peer reviewed Peer reviewed
Direct linkDirect link
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)
Peer reviewed Peer reviewed
Levin, Joseph – Multivariate Behavioral Research, 1979
Two applications of Kristof's theorem on traces of matrix products are presented in order to highlight their utility for psychometric theory and studies. (Author/JKS)
Descriptors: Mathematical Models, Matrices, Psychometrics, Statistical Analysis
Peer reviewed Peer reviewed
Direct linkDirect link
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
Peer reviewed Peer reviewed
Levin, Joseph – Multivariate Behavioral Research, 1986
The relation between the power of a significance test in a block design with correlated measurements and the reliability of the measuring instrument is analyzed in terms of the components of variance entering the reliability coefficient and the noncentrality parameter. (Author/LMO)
Descriptors: Analysis of Variance, Hypothesis Testing, Mathematical Models, Power (Statistics)
Peer reviewed Peer reviewed
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
Peer reviewed Peer reviewed
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
Peer reviewed Peer reviewed
Zwick, Rebecca – Multivariate Behavioral Research, 1986
The purpose of the current study was to investigate the relative performance of the parametric, rank, and normal scores procedures when the classical assumptions were met and under violations of these assumptions. This investigation included the normal scores as well as the rank test. (LMO)
Descriptors: Hypothesis Testing, Mathematical Models, Measurement Techniques, Monte Carlo Methods
Peer reviewed Peer reviewed
Ferrando, Pere J. – Multivariate Behavioral Research, 1996
The usefulness of the confirmatory factor analysis model of D. Sorbom (1974) to estimate invariant difficulty and discrimination item parameters on a personality scale was supported in a study using responses of 834 undergraduates to the Social Worry Scale of the Anxious Thoughts Inventory (A. Wells, 1994). (SLD)
Descriptors: Anxiety, Difficulty Level, Estimation (Mathematics), Higher Education
Peer reviewed Peer reviewed
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
Peer reviewed Peer reviewed
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
Peer reviewed Peer reviewed
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
Previous Page | Next Page ยป
Pages: 1  |  2