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文章基本信息

  • 标题:Second-Order Latent Growth Models with Shifting Indicators
  • 本地全文:下载
  • 作者:Hancock, Gregory R. ; Buehl, Michelle M.
  • 期刊名称:Journal of Modern Applied Statistical Methods
  • 出版年度:2008
  • 卷号:7
  • 期号:1
  • 页码:5
  • 出版社:Wayne State University
  • 摘要:Second-order latent growth models assess longitudinal change in a latent construct, typically employing identical manifest variables as indicators across time. However, the same indicators may be unavailable and/or inappropriate for all time points. This article details methods for second-order growth models in which constructs’ indicators shift over time.
  • 关键词:latent growth modeling; structural equation modeling; curve-of-factors models
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