Publication Name	World Journal of Meta-Analysis
Manuscript ID	104382
Country	China

Received	2024-12-19 13:27
Peer-Review Started	2024-12-19 13:27
To Make the First Decision
Return for Revision	2025-03-25 02:59
Revised	2025-03-29 02:46
Second Decision	2025-04-11 02:41
Accepted by Journal Editor-in-Chief
Accepted by Executive Editor-in-Chief	2025-04-11 07:45
Articles in Press	2025-04-11 07:45
Publication Fee Transferred
Edit the Manuscript by Language Editor
Typeset the Manuscript	2025-05-30 08:35
Publish the Manuscript Online	2025-06-16 08:02

ISSN	2308-3840 (online)
Open Access	This article is an open-access article that was selected by an in-house editor and fully peer-reviewed by external reviewers. It is distributed in accordance with the Creative Commons Attribution NonCommercial (CC BY-NC 4.0) license, which permits others to distribute, remix, adapt, build upon this work non-commercially, and license their derivative works on different terms, provided the original work is properly cited and the use is non-commercial. See: https://creativecommons.org/Licenses/by-nc/4.0/
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Category	Medicine, General & Internal
Manuscript Type	Letter to the Editor
Article Title	Importance of data collection and subgroup analyses in research methodology
Manuscript Source	Invited Manuscript
All Author List	Sunny Chi Lik Au
Funding Agency and Grant Number
Corresponding Author	Sunny Chi Lik Au, Chief Physician, Research Fellow, Department of Ophthalmology, Tung Wah Eastern Hospital, 9/F, MO Office, Lo Ka Chow Memorial Ophthalmic Centre, No. 19 Eastern Hospital Road, Causeway Bay, Hong Kong 999077, China. kilihcua@gmail.com
Key Words	Data collection; Methodology; Research; Journal; Academic
Core Tip	A variety of methods exist to assess the normality of continuous data. Among these tests, the Shapiro–Wilk test, Kolmogorov–Smirnov test, skewness, kurtosis, histogram, box plot, P–P plot, Q–Q plot, and mean with standard deviation are commonly employed. Of these, the widely recognized Shapiro–Wilk test is suitable for small sample sizes (< 50 samples), although it can also accommodate larger sample sizes. Conversely, the Kolmogorov–Smirnov test finds utility when dealing with n ≥ 50, making it another prominent technique for evaluating data normality.
Publish Date	2025-06-16 08:02
Citation	<p>Au SCL. Importance of data collection and subgroup analyses in research methodology. <i>World J Meta-Anal</i> 2025; 13(2): 104382</p>
URL	https://www.wjgnet.com/2308-3840/full/v13/i2/104382.htm
DOI	https://dx.doi.org/10.13105/wjma.v13.i2.104382

Full Article (PDF)	WJMA-13-104382-with-cover.pdf
Manuscript File	104382_Auto_Edited_062634.docx
Answering Reviewers	104382-answering-reviewers.pdf
Audio Core Tip	104382-audio.m4a
Conflict-of-Interest Disclosure Form	104382-conflict-of-interest-statement.pdf
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Non-Native Speakers of English Editing Certificate	104382-non-native-speakers.pdf
Peer-review Report	104382-peer-reviews.pdf
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Scientific Editor Work List	104382-scientific-editor-work-list.pdf
CrossCheck Report	104382-crosscheck-report.pdf