Journal article
A multi-rater latent growth curve model
May 2021
Multivariate Behavioral Research
抽象的
为了避免让一个人评估感兴趣的结构(例如,学生在学校中的自我效能)的主观性,经常使用多个评估者。随着时间的流逝,越来越多地使用多个评估者评估心理和社会情感构建的数据。而一系列提出了使用多个评估者时出现的测量问题的模型,包括纵向数据的少数数字,如果有多个评估者在存在的情况下,几乎没有任何模型可以估计增长。在这项研究中,我们提供了一个模型,该模型除了在给定时间点(即消除独特的评估者差异)以外的所有评估者的共同看法,然后在跨时间点增加了潜在的生长曲线模型。通过仿真和实证研究,我们在恢复真实生长参数方面以及相对于更粗糙的方法进行了模型的性能,例如基于单个评估者估算生长。我们的结果表明,我们提出的模型沿这些维度表现良好,并显示出希望根据纵向多评价者数据估算增长的研究人员使用的希望。
查看更多本文在NWEA以外发表。全文可以在上面的链接上找到。
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