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一个自回归的潜变得分模型,用于随机预测,后测,后续设计

Sarfaraz Serang1, Annabelle H Reese2, Sarah R Edmunds2

  • 1Department of Psychology, University of South Carolina, 1512 Pendleton Street, Columbia, SC, 29208, USA. sserang@mailbox.sc.edu.

Behavior research methods
|March 14, 2026
PubMed
概括

本研究引入了一种新的统计模型,即自回归潜变得分模型 (AR-LCSM),以更好地分析纵向研究中的治疗效应. AR-LCSM提供了更好的统计能力,并避免了常见的分析陷.

关键词:
后续设计后续设计潜在变化得分模型的潜变得分模型.在测试后的测试.随机对照试验是随机对照试验.随机预测预测是指随机的预测.结构方程建模 结构方程建模

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