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Reporting Results from Structural Equation Modeling Analyses in .

作者信息

Hoyle Rick H, Isherwood Jennifer C

机构信息

Department of Psychology and Neuroscience, Duke University.

出版信息

Arch Sci Psychol. 2013 Feb;1(1):14-22. doi: 10.1037/arc0000004.

Abstract

UNLABELLED

Psychological research typically involves the analysis of data (e.g., questionnaire responses, records of behavior) using statistical methods. The description of how those methods are used and the results they produce is a key component of scholarly publications. Despite their importance, these descriptions are not always complete and clear. In order to ensure the completeness and clarity of these descriptions, the requires that authors of manuscripts to be considered for publication adhere to a set of publication standards. Although the current standards cover most of the statistical methods commonly used in psychological research, they do not cover them all. In this manuscript, we propose adjustments to the current standards and the addition of additional standards for a statistical method not adequately covered in the current standards-structural equation modeling (SEM). Adherence to the standards we propose would ensure that scholarly publications that report results of data analyzed using SEM are complete and clear.

SCIENTIFIC ABSTRACT

We recommend reporting standards consistent with the Journal Article Reporting Standards (JARS) of the American Psychological Association for manuscripts in which results from structural equation modeling (SEM) analyses are presented. For all sections of the general JARS except the results section, we recommend minor adjustments. For the results section of the JARS, we provide a supplemental module specific to reports of research that use SEM. The result is a questionnaire that ensures thorough and detailed reports of SEM analyses in the .

摘要

未标注

心理学研究通常涉及使用统计方法分析数据(如问卷回复、行为记录)。描述这些方法如何使用以及它们产生的结果是学术出版物的关键组成部分。尽管这些描述很重要,但它们并不总是完整和清晰的。为了确保这些描述的完整性和清晰度,[具体机构或组织]要求考虑发表的稿件作者遵守一套出版标准。虽然当前标准涵盖了心理学研究中常用的大多数统计方法,但并未涵盖所有方法。在本稿件中,我们提议对当前标准进行调整,并为当前标准未充分涵盖的一种统计方法——结构方程模型(SEM)添加额外标准。遵守我们提议的标准将确保报告使用SEM分析数据结果的学术出版物完整且清晰。

科学摘要

对于呈现结构方程模型(SEM)分析结果的稿件,我们建议采用与美国心理学会《期刊文章报告标准》(JARS)一致的报告标准。对于一般JARS的所有部分,除了结果部分,我们建议进行 minor 调整。对于JARS的结果部分,我们提供了一个特定于使用SEM的研究报告的补充模块。结果是一个问卷,可确保在[具体范围或领域]中对SEM分析进行全面且详细的报告。

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