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. 2010;11(2):121-136.
doi: 10.1080/15248371003699969.

Twelve Frequently Asked Questions About Growth Curve Modeling

Patrick J Curran  1 , Khawla Obeidat, Diane Losardo
Affiliations

Twelve Frequently Asked Questions About Growth Curve Modeling

Patrick J Curran et al. J Cogn Dev. 2010.

Abstract

Longitudinal data analysis has long played a significant role in empirical research within the developmental sciences. The past decade has given rise to a host of new and exciting analytic methods for studying between-person differences in within-person change. These methods are broadly organized under the term growth curve models. The historical lines of development leading to current growth models span multiple disciplines within both the social and statistical sciences, and this in turn makes it challenging for developmental researchers to gain a broader understanding of the current state of this literature. To help address this challenge, the authors pose 12 questions that frequently arise in growth curve modeling, particularly in applications within developmental psychology. They provide concise and nontechnical responses to each question and make specific recommendations for further readings.

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References

    1. Allison PD. Missing data. Newbury Park, CA: Sage Publications, Inc; 2001.
    1. Arbuckle JL. Full information estimation in the presence of incomplete data. In: Marcoulides GA, Schumaker RE, editors. Advanced structural equation modeling: Issues and techniques. Mahwah, NJ: Lawrence Erlbaum Associates; 1996. pp. 243–278.
    1. Bauer DJ. Estimating multilevel linear models as structural equation models. Journal of Educational and Behavioral Statistics. 2003;28:134–167.
    1. Bauer DJ. Observations on the use of growth mixture models in psychological research. Multivariate Behavioral Research. 2007;42:757–786.
    1. Bauer DJ, Curran PJ. Distributional assumptions of growth mixture models: Implications for over-extraction of latent trajectory classes. Psychological Methods. 2003;8:338–363. - PubMed

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