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The purpose of this descriptive research was to validate the fitness of digital competency components of Thai professional nurses. The sample comprised 300 nurses from 13 hospitals under the Ministry of Public Health who responded questionnaires and were selected by the multi-stage random sampling technique. The research instrument were an online questionnaire of digital competency components of Thai professional nurses. The content validity of the questionnaire between 0.6 and 1.0 based on index of item objective congruence by five experts. The reliability of the questions was 0.97 based on Cronbach’s alpha reliability coefficient method. The data were analyzed by using frequency, percentage, mean, standard deviation, and confirmatory factor analysis. The results illustrated that digital competency of Thai professional nurse’s embraced three components with 22 competencies as follows: 1) knowledge component was defined by seven competencies, 2) skills component was defined by eight competencies, and 3) attributes component was defined by seven competencies. The digital competency components of Thai professional nurses was fit to the empirical data including chi-square () = 314.68; degrees of freedom (df) = 182; p < 0.01; = 1.73; comparative fit index (CFI) = 1.0, goodness of fit index (GFI) = 0.91; adjusted goodness of fit index (AGFI) = 0.88; root mean square error of approximation (RMSEA) = 0.049; standardized root mean square residual (SRMR) = 0.022
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of the editor or Royal Thai Army Nurses Association.
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