Reporting Results From Structural Equation Modeling Analyses in Archives of Scientific Psychology

• Published in: Archives of scientific psychology Vol. 1; no. 1; pp. 14 - 22
• Main Authors: Hoyle, Rick H, Isherwood, Jennifer C
• Format: Journal Article
• Language: English
• Published: United States American Psychological Association 22.07.2013
• Subjects: American Psychological Association; Reporting Standards; Scientific Communication; Structural Equation Modeling; structural equation modeling; reporting standards; JARS
• ISSN: 2169-3269; 2169-3269
• DOI: 10.1037/arc0000004

ABSTRACT 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. To ensure the completeness and clarity of these descriptions, the Archives of Scientific Psychology 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 article, 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 For the scientific community, we recommend reporting standards consistent with the Journal Article Reporting Standards (JARS) of the American Psychological Association for manuscripts in which results from 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 Archives .