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Latent Curve Models and Latent Change Score Models Estimated in R
| Content Provider | Scilit |
|---|---|
| Author | Ghisletta, Paolo McArdle, John J. |
| Copyright Year | 2012 |
| Description | 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 to 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, & McArdle, 2004. The data and all scripts used here are available on the first author's website. |
| Related Links | http://europepmc.org/articles/pmc4259494?pdf=render https://www.ncbi.nlm.nih.gov/pmc/articles/PMC4259494/pdf |
| Ending Page | 682 |
| Page Count | 32 |
| Starting Page | 651 |
| ISSN | 10705511 |
| e-ISSN | 15328007 |
| DOI | 10.1080/10705511.2012.713275 |
| Journal | Structural Equation Modeling: A Multidisciplinary Journal |
| Issue Number | 4 |
| Volume Number | 19 |
| Language | English |
| Publisher | Informa UK Limited |
| Publisher Date | 2012-10-01 |
| Access Restriction | Open |
| Subject Keyword | Journal: Structural Equation Modeling: A Multidisciplinary Journal Mathematical Social Sciences Biomedical Research Bioinformatics |
| Content Type | Text |
| Resource Type | Article |
| Subject | Sociology and Political Science Economics, Econometrics and Finance Decision Sciences Modeling and Simulation |
