更正“关于计算Louis的注释”，“IRT和认知诊断模型的观测信息矩阵恒等式”。

IF 1.5 3区心理学 Q3 MATHEMATICS, INTERDISCIPLINARY APPLICATIONS

British Journal of Mathematical & Statistical Psychology Pub Date : 2023-10-25 DOI:10.1111/bmsp.12325

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引用次数: 0

摘要

Liu, C. W., & Chalmers, R. P. (2021)。关于计算 IRT 和认知诊断模型的路易斯观察信息矩阵同一性的说明。British Journal of Mathematical and Statistical Psychology, 74(1), 118-138. https://doi.org/10.1111/bmsp.12207The 资助确认有误：论文于 2020 年 4 月 30 日收到，而所述资助于 2020 年 8 月 1 日开始。因此，资助期限与收稿日期不存在重叠，导致鸣谢不准确。

本文章由计算机程序翻译，如有差异，请以英文原文为准。

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Correction to ‘a note on computing Louis' observed information matrix identity for IRT and cognitive diagnostic models’

Liu, C. W., & Chalmers, R. P. (2021). A note on computing Louis' observed information matrix identity for IRT and cognitive diagnostic models. British Journal of Mathematical and Statistical Psychology, 74(1), 118–138. https://doi.org/10.1111/bmsp.12207

The acknowledgement of funding was included in error: the paper was received on 30 April 2020, while the mentioned grant commenced on 1 August 2020. Consequently, there is no overlap between the grant period and the received date, rendering the acknowledgment inaccurate.

We apologize for this error.

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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.