Estimating Individual Developmental Functions: Methods and Their Assumptions
Autor: | Mark I. Appelbaum, Margaret Burchinal |
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Rok vydání: | 1991 |
Předmět: |
education.field_of_study
Mathematical model Population Multilevel model Linear model Context (language use) Individual development Growth curve (statistics) Developmental psychology Education Nonlinear system Pediatrics Perinatology and Child Health Econometrics Developmental and Educational Psychology Psychology education |
Zdroj: | Child Development. 62:23 |
ISSN: | 0009-3920 |
DOI: | 10.2307/1130702 |
Popis: | 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. |
Databáze: | OpenAIRE |
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