Multivariate Latent Growth Modeling: Issues on Preliminary Data Analyses
Multivariate latent growth modeling (multivariate LGM) provides a flexible data analytic framework for representing and assessing cross-domain (i.e., between-constructs) relationships in intraindividual changes over time, which also allows incorporation of multiple levels of analysis. Using the chap...
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| Format: | text |
| Language: | English |
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Institutional Knowledge at Singapore Management University
2005
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| Online Access: | https://ink.library.smu.edu.sg/soss_research/88 |
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| Institution: | Singapore Management University |
| Language: | English |
| Summary: | Multivariate latent growth modeling (multivariate LGM) provides a flexible data analytic framework for representing and assessing cross-domain (i.e., between-constructs) relationships in intraindividual changes over time, which also allows incorporation of multiple levels of analysis. Using the chapter by Cortina, Pant, and Smith-Darden (this volume) as a point of departure, this chapter discusses important preliminary data analysis and interpretation issues prior to performing multivariate LGM analyses. |
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