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Updated: Jun 26, 2025

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在不平衡设计的多层潜增长模型中评估适应性指数:蒙特卡洛研究

Fan Pan1, Qingqing Liu2

  • 1School of Education Science, Huizhou University, Huizhou, China.

Frontiers in psychology
|May 20, 2024
PubMed
概括

研究人员可以信任CFI和TFI相关的适合指数来评估不平衡设计中的多层次潜增长模型 (MLGM). 由于性能变化,其他指数如RMSEA,SRMR和chi-square应谨慎使用.

关键词:
与CFI相关的适合性指数.与RMSEA相关的适应性指数.与SRMR相关的适应性指数.与TFI相关的适合性指数.与奇方位相关的适合性指数.多层次的潜伏增长模式不平衡的设计不平衡的设计.

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