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Latent Variables Analysis
Applications for Developmental Research
Edited by:
- Alexander von Eye - Michigan State University, USA
- Clifford C. Clogg - Pennsylvania State University, USA
Other Titles in:
Quantitative/Statistical Research
Quantitative/Statistical Research
472 pages | SAGE Publications, Inc
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.
PART ONE: THEORETICAL ISSUES: CONCEPTS IN LATENT VARIABLES ANALYSIS
Michael E Sobel
Causal Inference in Latent Variable Models
Rolf Steyer and Thomas Schmitt
The Theory of Confounding and its Application in Causal Modeling with Latent Variables
Scott L Hershberger
The Specification of Equivalent Models before the Collection of Data
PART TWO: ANALYSIS OF LATENT VARIABLES IN DEVELOPMENTAL RESEARCH: CONTINUOUS VARIABLES APPROACHES
Phillip K Wood
The Effect of Unmeasured Variables and their Interactions on Structural Models
John R Nesselroade
Exploratory Factor Analysis with Latent Variables and the Study of Processes of Development and Change
Peter C M Molenaar
Dynamic Latent Variable Models in Developmental Psychology
Michael J Rovine
Latent Variables Models and Missing Data Analysis
Peter C M Molenaar and Alexander von Eye
On the Arbitrary Nature of Latent Variables
PART THREE: ANALYSIS OF LATENT VARIABLES IN DEVELOPMENTAL RESEARCH: CATEGORICAL VARIABLES APPROACHES
George B Macready and C Mitchell Dayton
Latent Class Models for Longitudinal Assessment of Trait Acquisition
Christiane Spiel
Latent Trait Models for Measuring Change
Anton K Formann
Measuring Change Using Latent Class Analysis
Hoben Thomas
Mixture Decomposition when the Components are of Unknown Form
Jacques A Hagenaars
Latent Variables in Log-Linear Models of Repeated Observations
Allan L McCutcheon
Latent Logit Models with Polytomous Effects Variables
Rolf Langeheine
Latent Variables Markov Models
PART FOUR: TESTING IN THE ANALYSIS OF LATENT VARIABLES
Albert Satorra and Peter M Bentler
Corrections to Test Statistics and Standard Errors in Covariance Structure Analysis
Donald B Rubin and Hal S Stern
Testing in Latent Class Models Using a Posterior Predictive Check Distribution