Psychometric Properties of the Turkish Version of Perceived Inventory of Technological Competency as Caring in Nursing.

Abstract

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 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.

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.