Causality and prediction in structural equation modeling: A commentary by Yutaka Kano on: “Which method delivers greater signal-to-noise ratio: Structural equation modeling or regression analysis with weighted composites?” by Yuan and Fang

IF 1.5 3区心理学 Q3 MATHEMATICS, INTERDISCIPLINARY APPLICATIONS

British Journal of Mathematical & Statistical Psychology Pub Date : 2023-05-11 DOI:10.1111/bmsp.12306

Yutaka Kano

引用次数: 0

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结构方程建模中的因果关系和预测:Yutaka Kano对以下问题的评论:“哪种方法提供更大的信噪比:结构方程建模还是加权复合回归分析?”袁、方所著

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来源期刊

British Journal of Mathematical & Statistical Psychology 医学-数学跨学科应用

CiteScore

5.00

自引率

3.80%

发文量

审稿时长

>12 weeks

期刊介绍： The British Journal of Mathematical and Statistical Psychology publishes articles relating to areas of psychology which have a greater mathematical or statistical aspect of their argument than is usually acceptable to other journals including: • mathematical psychology • statistics • psychometrics • decision making • psychophysics • classification • relevant areas of mathematics, computing and computer software These include articles that address substantitive psychological issues or that develop and extend techniques useful to psychologists. New models for psychological processes, new approaches to existing data, critiques of existing models and improved algorithms for estimating the parameters of a model are examples of articles which may be favoured.