Five Steps in Latent Curve and Latent Change Score Modeling with Longitudinal Data

John J. McArdle () and Kevin J. Grimm ()
Additional contact information
John J. McArdle: University of Southern California, Department of Psychology
Kevin J. Grimm: University of California, Davis, Department of Psychology

Chapter Chapter 8 in Longitudinal Research with Latent Variables, 2010, pp 245-273 from Springer

Abstract: Abstract This paper describes a set of applications of one class of longitudinal growth analysis - latent curve (LCM) and latent change score (LCS) analysis using structural equation modeling (SEM) techniques. These techniques are organized in five sections based on Baltes & Nesselroade (1979). (1) Describing the observed and unobserved longitudinal data. (2) Characterizing the developmental shape of both individuals and groups. (3) Examining the predictors of individual and group differences in developmental shapes. (4) Studying dynamic determinants among variables over time. (5) Studying group differences in dynamic determinants among variables over time. To illustrate all steps, we present SEM analyses of a relatively large set of data from the National Longitudinal Survey of Youth (NLSY). The inclusion of all five aspects of latent curve modeling is not often used in longitudinal analyses, so we discuss why more efforts to include all five are needed in developmental research.

Keywords: Structural Equation Modeling; Reading Comprehension; Antisocial Behavior; Latent Curve; Latent Growth Curve (search for similar items in EconPapers)
Date: 2010
References: Add references at CitEc
Citations:

There are no downloads for this item, see the EconPapers FAQ for hints about obtaining it.

Related works:
This item may be available elsewhere in EconPapers: Search for items with the same title.

Export reference: BibTeX RIS (EndNote, ProCite, RefMan) HTML/Text

Persistent link: https://EconPapers.repec.org/RePEc:spr:sprchp:978-3-642-11760-2_8

Ordering information: This item can be ordered from
http://www.springer.com/9783642117602

DOI: 10.1007/978-3-642-11760-2_8

Access Statistics for this chapter

More chapters in Springer Books from Springer
Bibliographic data for series maintained by Sonal Shukla () and Springer Nature Abstracting and Indexing ().