Contemporary Psychometrics

Author:   Albert Maydeu-Olivares ,  John J. McArdle
Publisher:   Taylor & Francis Inc
ISBN:  

9780805846089


Pages:   600
Publication Date:   08 April 2005
Format:   Hardback
Availability:   In Print   Availability explained
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.

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Contemporary Psychometrics


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Full Product Details

Author:   Albert Maydeu-Olivares ,  John J. McArdle
Publisher:   Taylor & Francis Inc
Imprint:   Psychology Press
Dimensions:   Width: 15.20cm , Height: 3.80cm , Length: 22.90cm
Weight:   0.975kg
ISBN:  

9780805846089


ISBN 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   Availability explained
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 Contents

Contents: 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.

Reviews

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


"""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 Information

Albert Maydeu-Olivares (Edited by) ,  John J. McArdle (Edited by)

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