Macy Glover, Xi Chen, Joseph C Cappelleri, Andrea Chadwick, Shanshan Qin, Jinxiang Hu
{"title":"Sample size calculator for reliability and validity evaluation: a Shiny R application.","authors":"Macy Glover, Xi Chen, Joseph C Cappelleri, Andrea Chadwick, Shanshan Qin, Jinxiang Hu","doi":"10.1007/s11136-026-04385-8","DOIUrl":null,"url":null,"abstract":"<p><strong>Objectives: </strong>The objective is to provide a user-friendly tool for researchers to compute sample sizes for studies involving psychometric reliability and validity metrics.</p><p><strong>Methods: </strong>The application was developed using R Shiny to create an interactive interface to calculate sample sizes for reliability, validity, and group difference assessments. For metrics already included in existing tools, cross-validation was performed to ensure consistency and accuracy. For metrics unique to this app, validation was based on formulas from the original publications.</p><p><strong>Results: </strong>A comprehensive set of sample size calculation modules was included, covering Pearson correlation, Spearman correlation, tetrachoric correlation, point-biserial correlation, Cohen's kappa, Fleiss' kappa, Cronbach's alpha, intraclass correlation coefficient, Kendall's coefficient of concordance, one-way analysis of variance, and one-way analysis of covariance. Researchers can access detailed outputs, including sample sizes, contextual interpretations, and step-by-step derivations of the results, ensuring transparency and usability.</p><p><strong>Conclusions: </strong>The Sample Size Calculator is a validated and helpful resource for researchers seeking to optimize study design. The calculator can be accessed at the following website: https://biostats-shinyr.kumc.edu/PsychometricN/.</p>","PeriodicalId":20748,"journal":{"name":"Quality of Life Research","volume":"35 10","pages":""},"PeriodicalIF":3.4000,"publicationDate":"2026-09-24","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"Quality of Life Research","FirstCategoryId":"3","ListUrlMain":"https://doi.org/10.1007/s11136-026-04385-8","RegionNum":3,"RegionCategory":"医学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"Q1","JCRName":"HEALTH CARE SCIENCES & SERVICES","Score":null,"Total":0}
引用次数: 0
Abstract
Objectives: The objective is to provide a user-friendly tool for researchers to compute sample sizes for studies involving psychometric reliability and validity metrics.
Methods: The application was developed using R Shiny to create an interactive interface to calculate sample sizes for reliability, validity, and group difference assessments. For metrics already included in existing tools, cross-validation was performed to ensure consistency and accuracy. For metrics unique to this app, validation was based on formulas from the original publications.
Results: A comprehensive set of sample size calculation modules was included, covering Pearson correlation, Spearman correlation, tetrachoric correlation, point-biserial correlation, Cohen's kappa, Fleiss' kappa, Cronbach's alpha, intraclass correlation coefficient, Kendall's coefficient of concordance, one-way analysis of variance, and one-way analysis of covariance. Researchers can access detailed outputs, including sample sizes, contextual interpretations, and step-by-step derivations of the results, ensuring transparency and usability.
Conclusions: The Sample Size Calculator is a validated and helpful resource for researchers seeking to optimize study design. The calculator can be accessed at the following website: https://biostats-shinyr.kumc.edu/PsychometricN/.
期刊介绍:
Quality of Life Research is an international, multidisciplinary journal devoted to the rapid communication of original research, theoretical articles and methodological reports related to the field of quality of life, in all the health sciences. The journal also offers editorials, literature, book and software reviews, correspondence and abstracts of conferences.
Quality of life has become a prominent issue in biometry, philosophy, social science, clinical medicine, health services and outcomes research. The journal''s scope reflects the wide application of quality of life assessment and research in the biological and social sciences. All original work is subject to peer review for originality, scientific quality and relevance to a broad readership.
This is an official journal of the International Society of Quality of Life Research.