CALMs:潜在均值综合分析的闪亮应用。

IF 1.2 4区 心理学 Q4 PSYCHOLOGY, MATHEMATICAL
Kim Nimon, Julia Fulmore, Gregg Keiffer, Bryn Hammack-Brown
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引用次数: 0

摘要

本文介绍了一种利用潜在均值综合比较群体的新应用CALMs,包括群体等效性检验、倾向得分分析、测量不变性分析以及用不变数据评估等效群体的潜在均值差异。尽管这些技术很重要,但它们的应用可能是复杂和耗时的,特别是对于没有高级统计方法经验的研究人员。Shiny的应用程序CALMs使这个繁琐的过程对更广泛的用户更容易访问。此外,它允许研究人员更多地关注研究的解释方面,而不是测试所需的劳动力。使用真实世界的数据演示了CALMs应用程序的实际效用,突出了该应用程序在提高心理学研究中群体比较研究的有效性和可靠性方面的潜力。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
CALMs: A Shiny Application for Comprehensive Analysis of Latent Means.

This article presents a Shiny application CALMs for comprehensively comparing groups via latent means, which includes the examination of group equivalency, propensity score analysis, measurement invariance analysis, and assessment of latent mean differences of equivalent groups with invariant data. Despite the importance of these techniques, their application can be complex and time-consuming, particularly for researchers not experienced in advanced statistical methods. The Shiny application CALMs makes this cumbersome process more accessible to a broader range of users. In addition, it allows researchers to focus more on the interpretation aspect of the research rather than the labor required for testing. The practical utility of the CALMs application is demonstrated using real-world data, highlighting the potential of the application to enhance the validity and reliability of group comparison studies in psychological research.

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来源期刊
CiteScore
2.30
自引率
8.30%
发文量
50
期刊介绍: Applied Psychological Measurement publishes empirical research on the application of techniques of psychological measurement to substantive problems in all areas of psychology and related disciplines.
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