Methods for Analyzing Longitudinal Data in Developmental Research: Growth Curve Model and Latent Class Growth Analysis

DOI
  • Nishimura Tomoko
    Research Center for Child Mental Development, Hamamatsu University School of Medicine

Bibliographic Information

Other Title
  • 発達研究における縦断データの解析手法：成長曲線モデルと潜在クラス成長分析

Abstract

<p>I Research on child development considers it important to understand each child's developmental process as well as that of the entire population. Therefore, child development scholars must be proficient in two methodologies—longitudinal research and longitudinal analysis—with the latter based on drawing developmental trajectories. This study focuses on describing the population's average developmental trajectory while capturing individual deviations from the average. To this end, this study introduces the growth curve model and latent class growth analysis, highlighting findings from the Hamamatsu Birth Cohort (HBC) Study. The growth curve model introduces the mixed-effects and latent class approaches using an example question of whether an individual's birth weight affects their expressive language development. Latent class growth analysis emphasizes the parallel-process approach, which processes multiple domains in parallel and the joint model, which can be used to examine links between the developmental trajectories of two outcomes.</p>

Journal

Keywords

Details 詳細情報について

  • CRID
    1390296666511225856
  • DOI
    10.11201/jjdp.33.256
  • ISSN
    21879346
    09159029
  • Text Lang
    ja
  • Data Source
    • JaLC
  • Abstract License Flag
    Disallowed

Report a problem

Back to top