التفاصيل البيبلوغرافية
| العنوان: |
Reporting standards for psychological network analyses in cross-sectional data. |
| المؤلفون: |
Burger J; Amsterdam Centre for Urban Mental Health, University of Amsterdam., Isvoranu AM; Department of Psychology, University of Amsterdam., Lunansky G; Department of Psychology, University of Amsterdam., Haslbeck JMB; Department of Psychology, University of Amsterdam., Epskamp S; Amsterdam Centre for Urban Mental Health, University of Amsterdam., Hoekstra RHA; Department of Psychology, University of Amsterdam., Fried EI; Department of Clinical Psychology, Leiden University., Borsboom D; Department of Psychology, University of Amsterdam., Blanken TF; Department of Psychology, University of Amsterdam. |
| المصدر: |
Psychological methods [Psychol Methods] 2023 Aug; Vol. 28 (4), pp. 806-824. Date of Electronic Publication: 2022 Apr 11. |
| نوع المنشور: |
Journal Article |
| اللغة: |
English |
| بيانات الدورية: |
Publisher: American Psychological Association Country of Publication: United States NLM ID: 9606928 Publication Model: Print-Electronic Cited Medium: Internet ISSN: 1939-1463 (Electronic) Linking ISSN: 1082989X NLM ISO Abbreviation: Psychol Methods Subsets: MEDLINE |
| أسماء مطبوعة: |
Original Publication: Washington, DC : American Psychological Association, c1996- |
| مواضيع طبية MeSH: |
Research Design* , Research Report*, Humans ; Cross-Sectional Studies ; Models, Statistical |
| مستخلص: |
Statistical network models describing multivariate dependency structures in psychological data have gained increasing popularity. Such comparably novel statistical techniques require specific guidelines to make them accessible to the research community. So far, researchers have provided tutorials guiding the estimation of networks and their accuracy. However, there is currently little guidance in determining what parts of the analyses and results should be documented in a scientific report. A lack of such reporting standards may foster researcher degrees of freedom and could provide fertile ground for questionable reporting practices. Here, we introduce reporting standards for network analyses in cross-sectional data, along with a tutorial and two examples. The presented guidelines are aimed at researchers as well as the broader scientific community, such as reviewers and journal editors evaluating scientific work. We conclude by discussing how the network literature specifically can benefit from such guidelines for reporting and transparency. (PsycInfo Database Record (c) 2023 APA, all rights reserved). |
| تواريخ الأحداث: |
Date Created: 20220411 Date Completed: 20230822 Latest Revision: 20230822 |
| رمز التحديث: |
20230822 |
| DOI: |
10.1037/met0000471 |
| PMID: |
35404629 |
| قاعدة البيانات: |
MEDLINE |
