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OverviewFull Product DetailsAuthor: Albert Maydeu-Olivares , John J. McArdlePublisher: Taylor & Francis Inc Imprint: Psychology Press Dimensions: Width: 15.20cm , Height: 3.80cm , Length: 22.90cm Weight: 0.975kg ISBN: 9780805846089ISBN 10: 0805846085 Pages: 600 Publication Date: 08 April 2005 Audience: College/higher education , Professional and scholarly , Postgraduate, Research & Scholarly , Professional & Vocational Format: Hardback Publisher's Status: Active Availability: In Print ![]() This item will be ordered in for you from one of our suppliers. Upon receipt, we will promptly dispatch it out to you. For in store availability, please contact us. Table of ContentsContents: Preface. Roderick P. McDonald: A Personal Story. Part I: Test Theory.T.A. Ackerman, Multidimensional Item Response Theory Modeling. D.M. Bolt, Limited- and Full-Information Estimation of Item Response Theory Models. A. Maydeu-Olivares, Linear Item Response Theory, Non-Linear Item Response Theory and Factor Analysis: A Unified Framework. J.L. Horn, Neglected Thinking About Measurement in Behavioral Science Research. Part II: Factor Analysis Models.W.R. Krane, K.L. Slaney, A General Introduction to the Common Factor Model. R.E. Millsap, Four Unresolved Problems in Studies of Factorial Invariance. S.A. Mulaik, Looking Back on the Indeterminacy Controversies in Factor Analysis. M. Aitkin, I. Aitkin, Bayesian Inference for Factor Scores. Part III: Structural Equation Models and Related Methods.J.J. McArdle, The Development of the RAM Rules for Latent Variable Structural Equation Modeling. H.W. Marsh, K-T. Hau, D. Grayson, Goodness of Fit in Structural Equation Modeling. W.M. Hartmann, Resampling Methods in Structural Equation Modeling. J.H. Steiger, Comparing Correlations: Pattern Hypothesis Tests Between and/or Within Independent Samples. M.W. Browne, J.R. Nesselroade, Representing Psychological Processes With Dynamic Factor Models: Some Promising Uses and Extensions of Autoregressive Moving Average Time Series Models. H. Goldstein, W. Browne, Multilevel Factor Analysis Models for Continuous and Discrete Data. Part IV: Multivariate Analysis.S. Nishisato, On the Scaling of Ordinal Measurement: A Dual-Scaling Perspective. W.F. Velicer, S.M. Colby, Missing Data and the General Transformation Approach to Time Series Analysis. L.L. Harlow, Making Meaning of Multivariate Methods.ReviewsThe book contains several important lessons for academics in general, several others for the quantitatively inclined, and still more for those truly immersed in test theory, factor analysis, structural equation modeling, and multivariate analyses. Some lessons appear between the lines and others in bold type. -PsycCRITIQUES """The book contains several important lessons for academics in general, several others for the quantitatively inclined, and still more for those truly immersed in test theory, factor analysis, structural equation modeling, and multivariate analyses. Some lessons appear between the lines and others in bold type."" —PsycCRITIQUES" Author InformationAlbert Maydeu-Olivares (Edited by) , John J. McArdle (Edited by) Tab Content 6Author Website:Countries AvailableAll regions |