Simran Shamith, Carolyn Giordano, Beverley A Crawford, Elizabeth Kachur
{"title":"ChatGPT-A New Tool for Survey Development.","authors":"Simran Shamith, Carolyn Giordano, Beverley A Crawford, Elizabeth Kachur","doi":"","DOIUrl":null,"url":null,"abstract":"<p><strong>Background: </strong>This exploratory study examines the use of the AI tool ChatGPT in improving survey development. The study evaluates AI's ability to ensure validity and optimize wording, providing a potential new tool in survey creation.</p><p><strong>Methods: </strong>Two surveys related to anti-racism in medical education were developed and imputed into ChatGPT to request validation, clarification, and suggestions on wording.</p><p><strong>Results: </strong>ChatGPT provided quick and extensive output, correctly identifying each survey's goals and suggesting improvements. Target group validation provided specific contextual feedback, emphasizing the value of focus groups in addition to AI models in survey development.</p><p><strong>Conclusion: </strong>While ChatGPT offered quick suggestions, its lack of contextual understanding highlighted the complementary nature of both AI and human input in survey development.</p>","PeriodicalId":35979,"journal":{"name":"Journal of Allied Health","volume":"54 3","pages":"e417-e421"},"PeriodicalIF":0.0000,"publicationDate":"2025-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"Journal of Allied Health","FirstCategoryId":"1085","ListUrlMain":"","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
引用次数: 0
Abstract
Background: This exploratory study examines the use of the AI tool ChatGPT in improving survey development. The study evaluates AI's ability to ensure validity and optimize wording, providing a potential new tool in survey creation.
Methods: Two surveys related to anti-racism in medical education were developed and imputed into ChatGPT to request validation, clarification, and suggestions on wording.
Results: ChatGPT provided quick and extensive output, correctly identifying each survey's goals and suggesting improvements. Target group validation provided specific contextual feedback, emphasizing the value of focus groups in addition to AI models in survey development.
Conclusion: While ChatGPT offered quick suggestions, its lack of contextual understanding highlighted the complementary nature of both AI and human input in survey development.
期刊介绍：
The Journal of Allied Health is the official publication of the Association of Schools of Allied Health Professions (ASAHP) . The Journal is the only interdisciplinary allied health periodical, publishing scholarly works related to research and development, feature articles, research abstracts and book reviews. Readers of The Journal comprise allied health leaders, educators, faculty and students. Subscribers to The Journal consist of domestic and international college and university libraries, health organizations and hospitals. Almost 20% of subscribers, in the last three years, have been from outside of the United States. Subscribers include the World Health Organization, the American Medical Association and major universities.
求助内容：
应助结果提醒方式：
京公网安备 11010802042870号
