» Articles » PMID: 21743795

Twelve Frequently Asked Questions About Growth Curve Modeling

Overview
Journal J Cogn Dev
Publisher Routledge
Date 2011 Sep 28
PMID 21743795
Citations 351
Authors
Affiliations
Soon will be listed here.
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.

Citing Articles

Assessing the feasibility, acceptability, and preliminary health behavior outcomes of a community-based virtual group health coaching for cancer survivors program.

Berzins N, Orsega-Smith E, Mackenzie M, Galantino M, Culos-Reed N, Leonard T Support Care Cancer. 2025; 33(4):269.

PMID: 40072730 PMC: 11903554. DOI: 10.1007/s00520-025-09295-y.


Longitudinal analysis of the ABCD® study.

Hawes S, Littlefield A, Lopez D, Sher K, Thompson E, Gonzalez R Dev Cogn Neurosci. 2025; 72:101518.

PMID: 39999579 PMC: 11903845. DOI: 10.1016/j.dcn.2025.101518.


Effects of Protein Intake on Cognitive Function in Chinese Older Adults: A 10-Year Follow-Up Study.

Zheng T, Zheng X, Xiao S, Xue B, Chen C, Li Y Nutrients. 2025; 17(2).

PMID: 39861402 PMC: 11768016. DOI: 10.3390/nu17020272.


Urban and Rural Differences in the Efficacy of a Mobile Health Depression Treatment for Young Adults.

Mennis J, Coatsworth J, Russell M, Zaharakis N, Brown A, Mason M Int J Environ Res Public Health. 2025; 21(12.

PMID: 39767414 PMC: 11675546. DOI: 10.3390/ijerph21121572.


Health-relevant personality traits are associated with measures of health, well-being, stress and psychosocial work environment over time.

Villaume K, Tafvelin S, Hasson D PLoS One. 2024; 19(12):e0314321.

PMID: 39671364 PMC: 11642950. DOI: 10.1371/journal.pone.0314321.


References
1.
Schafer J, Graham J . Missing data: our view of the state of the art. Psychol Methods. 2002; 7(2):147-77. View

2.
Moffitt T . Adolescence-limited and life-course-persistent antisocial behavior: a developmental taxonomy. Psychol Rev. 1993; 100(4):674-701. View

3.
MacCallum R, Kim C, Malarkey W, Kiecolt-Glaser J . Studying Multivariate Change Using Multilevel Models and Latent Curve Models. Multivariate Behav Res. 2016; 32(3):215-53. DOI: 10.1207/s15327906mbr3203_1. View

4.
Brown J, Meadows S, Elder G . Race-ethnic inequality and psychological distress: depressive symptoms from adolescence to young adulthood. Dev Psychol. 2007; 43(6):1295-1311. DOI: 10.1037/0012-1649.43.6.1295. View

5.
Cudeck R, Harring J . Analysis of nonlinear patterns of change with random coefficient models. Annu Rev Psychol. 2006; 58:615-37. DOI: 10.1146/annurev.psych.58.110405.085520. View