UID:
almafu_9959328701702883
Umfang:
1 online resource (xii, 285 pages) :
,
illustrations
ISBN:
0471746096
,
9780471746096
,
9780471746089
,
0471746088
,
047145592X
,
9780471455929
Inhalt:
An effective technique for data analysis in the social sciencesThe recent explosion in longitudinal data in the social sciences highlights the need for this timely publication. Latent Curve Models: A Structural Equation Perspective provides an effective technique to analyze latent curve models (LCMs). This type of data features random intercepts and slopes that permit each case in a sample to have a different trajectory over time. Furthermore, researchers can include variables to predict the parameters governing these trajectories. The authors synthesize a vast amount of research and findings a.
Anmerkung:
Unconditional latent curve model -- Missing data and alternative metrics of time -- Nonlinear trajectories and the coding of time -- Conditional latent curve models -- The analysis of groups -- Multivariate latent curve models -- Extensions of latent curve models.
Weitere Ausg.:
Print version: Bollen, Kenneth A. Latent curve models. Hoboken, N.J. : Wiley-Interscience, ©2006 ISBN 047145592X
Sprache:
Englisch
Fachgebiete:
Wirtschaftswissenschaften
,
Psychologie
,
Soziologie
Schlagwort(e):
Electronic books.
;
Electronic books.
;
Electronic books.
URL:
https://onlinelibrary.wiley.com/doi/book/10.1002/0471746096
URL:
https://onlinelibrary.wiley.com/doi/book/10.1002/0471746096
URL:
https://onlinelibrary.wiley.com/doi/book/10.1002/0471746096
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