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Estimating Individual Developmental Functions: Methods and Their Assumptions
Author(s) -
Burchinal Margaret,
Appelbaum Mark I.
Publication year - 1991
Publication title -
child development
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 3.103
H-Index - 257
eISSN - 1467-8624
pISSN - 0009-3920
DOI - 10.1111/j.1467-8624.1991.tb01512.x
Subject(s) - psychology , longitudinal data , context (archaeology) , multilevel model , child development , growth curve (statistics) , population , longitudinal study , developmental psychology , econometrics , cognitive psychology , statistics , mathematics , computer science , data mining , paleontology , demography , sociology , biology
This article introduces developmentalists to methods for estimating individual developmental functions from longitudinal data in a multilevel analysis. Quantitative growth curve models for estimating the developmental functions from various types of longitudinal data are discussed in the context of both an investigator's assumptions about individual development on the attribute and the design characteristics of the prospective study. General linear and inherently nonlinear models that estimate population, individual, and prototypic growth curves are illustrated and contrasted when they are fit to speech development data.