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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.
Maydeu‐Olivares et al. (Sat,) studied this question.