In this volume, leading researchers examine how latent variables can be incorporated in a variety of data-analysis strategies, such as structural equation modelling, regression analysis, log-linear modelling and prediction analysis. The contributors also discuss how latent variables analysis can be applied in developmental psychology research using methods such as cohort-time of measurement-age analysis, log-linear modelling of behaviour genetics hypothesis and analyses of repeatedly observed state measures. Detailed explanations of computations and software packages are included with each statistical method.
Methodology and Statistics, Michigan State University.
PART ONE: THEORETICAL ISSUES: CONCEPTS IN LATENT VARIABLES ANALYSIS Causal Inference in Latent Variable Models - Michael E Sobel The Theory of Confounding and its Application in Causal Modeling with Latent Variables - Rolf Steyer and Thomas Schmitt The Specification of Equivalent Models before the Collection of Data - Scott L Hershberger PART TWO: ANALYSIS OF LATENT VARIABLES IN DEVELOPMENTAL RESEARCH: CONTINUOUS VARIABLES APPROACHES The Effect of Unmeasured Variables and their Interactions on Structural Models - Phillip K Wood Exploratory Factor Analysis with Latent Variables and the Study of Processes of Development and Change - John R Nesselroade Dynamic Latent Variable Models in Developmental Psychology - Peter C M Molenaar Latent Variables Models and Missing Data Analysis - Michael J Rovine On the Arbitrary Nature of Latent Variables - Peter C M Molenaar and Alexander von Eye PART THREE: ANALYSIS OF LATENT VARIABLES IN DEVELOPMENTAL RESEARCH: CATEGORICAL VARIABLES APPROACHES Latent Class Models for Longitudinal Assessment of Trait Acquisition - George B Macready and C Mitchell Dayton Latent Trait Models for Measuring Change - Christiane Spiel Measuring Change Using Latent Class Analysis - Anton K Formann Mixture Decomposition when the Components are of Unknown Form - Hoben Thomas Latent Variables in Log-Linear Models of Repeated Observations - Jacques A Hagenaars Latent Logit Models with Polytomous Effects Variables - Allan L McCutcheon Latent Variables Markov Models - Rolf Langeheine PART FOUR: TESTING IN THE ANALYSIS OF LATENT VARIABLES Corrections to Test Statistics and Standard Errors in Covariance Structure Analysis - Albert Satorra and Peter M Bentler Testing in Latent Class Models Using a Posterior Predictive Check Distribution - Donald B Rubin and Hal S Stern
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