{"title":"Statistical Validation of Health Care Questionnaires for Nursing Researchers.","authors":"Dave S Collingridge, Brooklyn N Collingridge","doi":"10.1097/AJN.0000000000000066","DOIUrl":null,"url":null,"abstract":"<p><strong>Abstract: </strong>Statistical validation is necessary when there is a need to show that a health care questionnaire is collecting rigorous data. Validation establishes whether an instrument is measuring what it is intended to measure (validity), and whether it is eliciting consistent responses (reliability). Because successful validation relies on following certain guidelines during question formulation and requires a deep understanding of the subject matter in order to appropriately interpret components, nurses should be directly involved in the validation process. By providing an easy-to-follow computerized approach to statistical validation and describing its implications for hypothesis testing, this paper makes the process of validation more accessible to nursing researchers who may not have extensive statistical training.</p>","PeriodicalId":7622,"journal":{"name":"American Journal of Nursing","volume":"125 5","pages":"44-51"},"PeriodicalIF":2.5000,"publicationDate":"2025-05-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"American Journal of Nursing","FirstCategoryId":"3","ListUrlMain":"https://doi.org/10.1097/AJN.0000000000000066","RegionNum":4,"RegionCategory":"医学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"2025/4/24 0:00:00","PubModel":"Epub","JCR":"Q1","JCRName":"NURSING","Score":null,"Total":0}
引用次数: 0
Abstract
Abstract: Statistical validation is necessary when there is a need to show that a health care questionnaire is collecting rigorous data. Validation establishes whether an instrument is measuring what it is intended to measure (validity), and whether it is eliciting consistent responses (reliability). Because successful validation relies on following certain guidelines during question formulation and requires a deep understanding of the subject matter in order to appropriately interpret components, nurses should be directly involved in the validation process. By providing an easy-to-follow computerized approach to statistical validation and describing its implications for hypothesis testing, this paper makes the process of validation more accessible to nursing researchers who may not have extensive statistical training.
期刊介绍：
The American Journal of Nursing is the oldest and most honored broad-based nursing journal in the world. Peer reviewed and evidence-based, it is considered the profession’s premier journal. AJN adheres to journalistic standards that require transparency of real and potential conflicts of interests that authors,editors and reviewers may have. It follows publishing standards set by the International Committee of Medical Journal Editors (ICMJE; www.icmje.org), the World Association of Medical Editors (WAME; www.wame.org), and the Committee on Publication Ethics (COPE; http://publicationethics.org/).
AJN welcomes submissions of evidence-based clinical application papers and descriptions of best clinical practices, original research and QI reports, case studies, narratives, commentaries, and other manuscripts on a variety of clinical and professional topics. The journal also welcomes submissions for its various departments and columns, including artwork and poetry that is relevant to nursing or health care. Guidelines on writing for specific departments—Art of Nursing, Viewpoint, Policy and Politics, and Reflections—are available at http://AJN.edmgr.com.
AJN''s mission is to promote excellence in nursing and health care through the dissemination of evidence-based, peer-reviewed clinical information and original research, discussion of relevant and controversial professional issues, adherence to the standards of journalistic integrity and excellence, and promotion of nursing perspectives to the health care community and the public.
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