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ERIC Number: EJ985980
Record Type: Journal
Publication Date: 2012
Pages: 32
Abstractor: As Provided
ISSN: ISSN-1070-5511
Latent Curve Models and Latent Change Score Models Estimated in R
Ghisletta, Paolo; McArdle, John J.
Structural Equation Modeling: A Multidisciplinary Journal, v19 n4 p651-682 2012
In recent years the use of the latent curve model (LCM) among researchers in social sciences has increased noticeably, probably thanks to contemporary software developments and the availability of specialized literature. Extensions of the LCM, like the the latent change score model (LCSM), have also increased in popularity. At the same time, the R statistical language and environment, which is open source and runs on several operating systems, is becoming a leading software for applied statistics. We show how to estimate both the LCM and LCSM with the sem, lavaan, and OpenMx packages of the R software. We also illustrate how to read in, summarize, and plot data prior to analyses. Examples are provided on data previously illustrated by Ferrer, Hamagami, and McArdle (2004). The data and all scripts used here are available on the first author's Web site. (Contains 5 figures.)
Psychology Press. Available from: Taylor & Francis, Ltd. 325 Chestnut Street Suite 800, Philadelphia, PA 19106. Tel: 800-354-1420; Fax: 215-625-2940; Web site:
Publication Type: Journal Articles; Reports - Descriptive
Education Level: Early Childhood Education; Elementary Education; Grade 1; Grade 3; Grade 5; Preschool Education
Audience: N/A
Language: English
Sponsor: N/A
Authoring Institution: N/A
Identifiers - Assessments and Surveys: Wechsler Intelligence Scale for Children