AIM: This research is to analyze the psychometric feature of the Perceived Inventory of Technological Competency as Caring in Nursing in the Turkish version. METHOD: 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 socio-demographic 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 RESULTS: 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. CONCLUSION: 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.