Twelve Frequently Asked Questions About Growth Curve Modeling
By P. Curran, Khawla Obeidat, Diane Losardo. Journal of Cognition and Development, 2010
1,141 citations recorded by the source corpus.
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.
Subfields: Education, Sociology and Political Science
View Paper: https://www.semanticscholar.org/paper/a216812588c0946f7fe0f93509e507c5730094c2
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In Sociology and Political Science
Citations in the corpus
- The smart city as a common place for tourists and residents: A structural analysis of the determinants of urban attractiveness (2017, neutral): “Approaching these scores as time-invariant covariates allows us to identify their influence on variability in the starting point and rate of change (Curran, Obeidat, & Losardo, 2010).”
- Predicting the revisit intention of volunteer tourists using the merged model between the theory of planned behavior and norm activation model (2020, background): “Thus, it can account for measurement errors and identify the trajectory pattern of each participant across time (Curran et al., 2010).”