Demir Kösem Dilek, Demir Şenay, Bektaş Murat, Bektaş İlknur, Haylı Çiğdem Müge, Ataman Bor Neşe, Ayşin Nesrullah, Tutal Özgür, Ito Hirokazu, Yasuhara Yuko, Tanioka Tetsuya
Department of Nursing, Hakkari University, Faculty of Health Sciences, Hakkari, Türkiye.
Department of Physical Therapy and Rehabilitation, Selçuk University, Faculty of Health Sciences, Konya, Türkiye.
Florence Nightingale J Nurs. 2025 Mar 10;33:1-7. doi: 10.5152/FNJN.2025.24106.
This research is to analyze the psychometric feature of the Perceived Inventory of Technological Competency as Caring in Nursing in the Turkish version.
A methodological study type was employed. Five hundred one nurses participated in the research, carried out between November 2021 and February 2022. The measures included a sociodemographic data collection tool and the Perceived Inventory of Technological Competency as Caring in Nursing-Turkish. To determine the psychometric properties of the scale, the validity study included content and construct validity analyses, and the reliability study was conducted using item analysis and split-half and Cronbach's alpha coefficients.
The Turkish adaptation of the Perceived Inventory of Technological Competency as Caring in Nursing comprised 18 questions collected under four sub-factors, explaining 56.08% of the total variance. According to the confirmatory factor analyses results, fit values were determined as comparative fit index = 0.94, normed fit index = 0.91, Trucker-lewis index = 0.92, goodness of fit index = 0.90, root mean square error of approximation = 0.070, incremental fit index = 0.94, χ2 = 439.052, df=126, p < .001, and χ2/df = 3.485. The total instrument and its sub-factors had Cronbach's α figures of 0.92 and >0.70, respectively.
The Turkish form of the Perceived Inventory of Technological Competency as Caring in Nursing showed adequate psychometric properties. The essential contribution of this study was that it provided a reliable and valid inventory to evaluate nurses' perceived technological competence as caring for the Turkish version.
本研究旨在分析土耳其语版《护理中技术能力感知量表》的心理测量特征。
采用方法学研究类型。2021年11月至2022年2月期间，501名护士参与了本研究。测量工具包括社会人口统计学数据收集工具和土耳其语版《护理中技术能力感知量表》。为确定该量表的心理测量特性，效度研究包括内容效度和结构效度分析，信度研究采用项目分析、分半法和克朗巴哈α系数进行。
土耳其语版《护理中技术能力感知量表》包含18个问题，分为四个子因素，解释了总方差的56.08%。根据验证性因素分析结果，拟合值确定为比较拟合指数=0.94，规范拟合指数=0.91，塔克-刘易斯指数=0.92，拟合优度指数=0.90，近似均方根误差=0.070，增量拟合指数=0.94，χ2=439.052，自由度=126，p<0.001，χ2/自由度=3.485。整个量表及其子因素的克朗巴哈α系数分别为0.92和>0.70。
土耳其语版《护理中技术能力感知量表》显示出足够的心理测量特性。本研究的重要贡献在于，它为评估土耳其语版护士对技术能力的感知提供了一个可靠且有效的量表。
