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Applebee, Bernice L.; And Others – Illinois School Research, 1971
Descriptors: Factor Analysis, Team Teaching
Hefele, Thomas J.; and others – J Clin Psychol, 1970
Descriptors: Factor Analysis, Interpersonal Competence
Rock, Donald A.; Dynarski, Barbara – Educ Psychol Meas, 1970
Descriptors: Computer Programs, Factor Analysis
Peer reviewedKiers, Henk A. L.; Ten Berge, Jos M. F.; Rocci, Roberto – Psychometrika, 1997
Three-mode factor analysis (3MFA) and PARAFAC are methods that describe three-way data. A class of 3MFA models is introduced that falls between 3MFA and PARAFAC and contains the good properties of both approaches, including the unique axes property that has distinguished the PARAFAC model. (SLD)
Descriptors: Factor Analysis, Factor Structure
Peer reviewedLorenzo-Seva, Urbano – Psychometrika, 2003
Proposes an index for assessing the degree of factor simplicity in the context of principal components and exploratory factor analysis. The index does not depend on the scale of the factors, and its maximum and minimum are related only to the degree of simplicity in the loading matrix. (SLD)
Descriptors: Factor Analysis, Factor Structure
Peer reviewedGessaroli, Marc E.; Folske, Jane C. – International Journal of Testing, 2002
Developed a general framework to estimate total test or testlet reliability with either fixed or random factors that is based on hierarchical factor analysis. Illustrates the framework with an example based on real data. (SLD)
Descriptors: Factor Analysis, Models, Reliability
Peer reviewedFung, W. K.; Kwan, C. W. – Psychometrika, 1995
Influence curves of some parameters under various methods of factor analysis depend on the influence curves for either the covariance or the correlation matrix used in the analysis. The differences between the two types of curves are derived, and simple formulas for the differences are presented. (SLD)
Descriptors: Correlation, Factor Analysis, Matrices
Peer reviewedHayashi, Kentaro; Bentler, Peter M. – Psychometrika, 2000
Investigated the conditions under which the matrix of factor loadings from the factor analysis model with equal unique variances will give a good approximation to the matrix of factor loadings from the regular factor analysis model. Extends the results to the image factor analysis model. Discusses implications for practice. (SLD)
Descriptors: Factor Analysis, Factor Structure
Peer reviewedKwan, C. W.; Fung, W. K. – Psychometrika, 1998
General formulas are derived for assessing local influence under restrictions in which the first derivatives are still zeros, and then these results are applied to factor analysis, as the usually used restriction in factor analysis satisfies the conditions. (SLD)
Descriptors: Factor Analysis, Mathematical Models
Peer reviewedFilzmoser, Peter – Psychometrika, 2000
Presents an approach for obtaining principal planes in factor analysis, extending the idea of rotation to simple structure to two dimensions. The principal planes give a better view of the data than planes derived from classical rotation and thus allow more reliable interpretation. (SLD)
Descriptors: Factor Analysis, Orthogonal Rotation
Peer reviewedFerrando, Pere J.; Lorenzo-Seva, Urbano – Multivariate Behavioral Research, 2001
Describes how the nonlinear factor analytic approach of R. McDonald to the normal ogive curve can be used to factor analyze test scores. Discusses the conditions in which this model is more appropriate than the linear model and illustrates the applicability of both models using an empirical example based on data from 1,769 adolescents who took the…
Descriptors: Adolescents, Factor Analysis, Scores
Direct linkKrijen, Wim P. – Psychometrika, 2006
Several sufficient conditions are available for mean square convergence of factor predictors. A necessary and sufficient condition is given in the Heywood case with respect to (confirmatory) factor analysis. This condition generalizes that of Krijnen (2006) and performs better than a signal-to-noise type of condition (Schneeweiss & Mathes, 1995).
Descriptors: Geometric Concepts, Factor Analysis
Wirth, R. J.; Edwards, Michael C. – Psychological Methods, 2007
The rationale underlying factor analysis applies to continuous and categorical variables alike; however, the models and estimation methods for continuous (i.e., interval or ratio scale) data are not appropriate for item-level data that are categorical in nature. The authors provide a targeted review and synthesis of the item factor analysis (IFA)…
Descriptors: Structural Equation Models, Markov Processes, Item Response Theory, Factor Analysis
New, Boris; Brysbaert, Marc; Veronis, Jean; Pallier, Christophe – Applied Psycholinguistics, 2007
We examine the use of film subtitles as an approximation of word frequencies in human interactions. Because subtitle files are widely available on the Internet, they may present a fast and easy way to obtain word frequency measures in language registers other than text writing. We compiled a corpus of 52 million French words, coming from a variety…
Descriptors: Factor Analysis, Films, Word Frequency, French
Ivanova, Masha Y.; Achenbach, Thomas M.; Rescorla, Leslie A.; Dumenci, Levent; Almqvist, Fredrik; Bathiche, Marie; Bilenberg, Niels; Bird, Hector; Domuta, Anca; Erol, Nese; Fombonne, Eric; Fonseca, Antonio; Frigerio, Alessandra; Kanbayashi, Yasuko; Lambert, Michael C.; Leung, Patrick; Liu, Xianchen; Minaei, Asghar; Roussos, Alexandra; Simsek, Zeynep; Weintraub, Sheila; Wolanczyk, Tomasz; Zubrick, Stephen; Zukauskiene, Rita; Verhulst, Frank C. – School Psychology Review, 2007
Standardized assessment instruments developed in one society are often used in other societies. However, it is important to determine empirically how assessment instruments developed in one society function in others. The present study tested the fit of the Teacher's Report Form syndrome structures in 20 diverse societies using data for 30,030 6-…
Descriptors: Foreign Countries, Factor Analysis, Hyperactivity, Attention Deficit Disorders
