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Updated: Jul 19, 2025

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蒙特卡罗信任区间的间接影响与缺失的数据

Ivan Jacob Agaloos Pesigan1, Shu Fai Cheung2

  • 1Department of Psychology, Faculty of Social Sciences, University of Macau, Avenida da Universidade, Taipa, Macao SAR, China. i.j.a.pesigan@connect.um.edu.mo.

Behavior research methods
|August 7, 2023
PubMed
概括

本研究介绍了一种快速准确的两步蒙特卡洛方法,用于在缺少数据的情况下进行中介分析的间接效应的置信区间. 这种方法在数据不完整时增强了统计的严谨性.

关键词:
全面信息最大概率最大概率间接影响的间接影响.调解 调解是一种调解.随机失踪的人是随机失踪的人.完全随机的完全失踪.蒙特卡洛方法 蒙特卡洛方法多重的归咎是多重的归咎.非参数式启动.

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