Tomoya Yokotani, T. Tanioka, Yuko Yasuhara, Hirokazu Ito, Yoko Nakano, M. Miyagawa, Feni Betriana, R. Locsin
{"title":"Assessing the Psychometric Properties of the Technological Competency as Caring in Nursing Instrument-Revised","authors":"Tomoya Yokotani, T. Tanioka, Yuko Yasuhara, Hirokazu Ito, Yoko Nakano, M. Miyagawa, Feni Betriana, R. Locsin","doi":"10.20467/HumanCaring-D-20-00015","DOIUrl":null,"url":null,"abstract":"The Technological Competency as Caring in Nursing Instrument-Revised (TCCNI-R) was developed from the Technological Competency as Caring in Nursing theory. To assess the psychometric properties, a four-factor questionnaire comprised the TCCNI-R. Only 590 of 1,322 online questionnaire responses by nurses in 11 general hospitals in Chugoku-Shikoku, Japan, were analyzed and interpreted. Exploratory factor analysis and confirmatory factor analysis via SEM justified construct validity, and Cronbach's alpha coefficient established reliability. Goodness of fit was rejected; however fit index value was accepted. Root mean square of error approximation showed reasonable approximation error. The TCCNI-R showed content validity and reliability in measuring technological competency as expression of caring in nursing.","PeriodicalId":92527,"journal":{"name":"International journal for human caring","volume":"55 1","pages":"30 - 44"},"PeriodicalIF":0.0000,"publicationDate":"2021-02-13","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"4","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"International journal for human caring","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.20467/HumanCaring-D-20-00015","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
引用次数: 4
Abstract
The Technological Competency as Caring in Nursing Instrument-Revised (TCCNI-R) was developed from the Technological Competency as Caring in Nursing theory. To assess the psychometric properties, a four-factor questionnaire comprised the TCCNI-R. Only 590 of 1,322 online questionnaire responses by nurses in 11 general hospitals in Chugoku-Shikoku, Japan, were analyzed and interpreted. Exploratory factor analysis and confirmatory factor analysis via SEM justified construct validity, and Cronbach's alpha coefficient established reliability. Goodness of fit was rejected; however fit index value was accepted. Root mean square of error approximation showed reasonable approximation error. The TCCNI-R showed content validity and reliability in measuring technological competency as expression of caring in nursing.