确认性因子分析混合方法中的贝叶斯因子选择

IF 1.2 4区数学 Q2 STATISTICS & PROBABILITY

Journal of Applied Statistics Pub Date : 2024-04-03 DOI:10.1080/02664763.2024.2335568

Junyu Nie, Jihnhee Yu

引用次数: 0

摘要

为了研究测量变量的潜在结构，确认性因子分析使用了各种因子结构，包括高阶模型和更灵活的双因子模型。在实践中...

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Bayesian factor selection in a hybrid approach to confirmatory factor analysis

To investigate latent structures of measured variables, various factor structures are used for confirmatory factor analysis, including higher-order models and more flexible bifactor models. In prac...

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来源期刊

Journal of Applied Statistics 数学-统计学与概率论

CiteScore

3.40

自引率

0.00%

发文量

126

审稿时长

6 months

期刊介绍： Journal of Applied Statistics provides a forum for communication between both applied statisticians and users of applied statistical techniques across a wide range of disciplines. These areas include business, computing, economics, ecology, education, management, medicine, operational research and sociology, but papers from other areas are also considered. The editorial policy is to publish rigorous but clear and accessible papers on applied techniques. Purely theoretical papers are avoided but those on theoretical developments which clearly demonstrate significant applied potential are welcomed. Each paper is submitted to at least two independent referees.