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VIII. THE PAST, PRESENT, AND FUTURE OF DEVELOPMENTAL METHODOLOGY
Author(s) -
Little Todd D.,
Wang Eugene W.,
Gorrall Britt K.
Publication year - 2017
Publication title -
monographs of the society for research in child development
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 0.618
H-Index - 63
eISSN - 1540-5834
pISSN - 0037-976X
DOI - 10.1111/mono.12302
Subject(s) - field (mathematics) , data science , management science , structural equation modeling , computer science , psychology , engineering , machine learning , mathematics , pure mathematics
This chapter selectively reviews the evolution of quantitative practices in the field of developmental methodology. The chapter begins with an overview of the past in developmental methodology, discussing the implementation and dissemination of latent variable modeling and, in particular, longitudinal structural equation modeling. It then turns to the present state of developmental methodology, highlighting current methodological advances in the field. Additionally, this section summarizes ample quantitative resources, ranging from key quantitative methods journal articles to the various quantitative methods training programs and institutes. The chapter concludes with the future of developmental methodology and puts forth seven future innovations in the field. The innovations discussed span the topics of measurement, modeling, temporal design, and planned missing data designs. Lastly, the chapter closes with a brief overview of advanced modeling techniques such as continuous time models, state space models, and the application of Bayesian estimation in the field of developmental methodology.