Psychometric properties of the Persian version of the innovative behavior inventory-20 items (IBI-20) in clinical nurses: a cross-sectional study

This study aimed to translate and evaluate the psychometric properties of the Persian version of the Innovative Behavior Inventory-20 (IBI-20) among clinical nurses in northwest Iran.

A descriptive survey with psychometric analysis was conducted involving 321 nurses from Ardabil medical training centers. The study employed a stratified proportional sampling method. Data were collected using standard questionnaires, including a demographic profile form and the innovative behavior questionnaire. Descriptive statistics, such as mean, standard deviation, frequency, and percentage, were calculated using IBM SPSS Statistics for Windows, version 26.0. Reliability was assessed through Cronbach’s alpha, McDonald’s omega, and Coefficient H. Confirmatory factor analysis (CFA) and structural equation modeling (SEM) was performed using IBM SPSS version 26.0 and AMOS version 24.0, with a significance level set at p < 0.05.

The findings indicate that the IBI-20 possesses good face validity, content validity, construct validity, convergent and discriminant validity, and reliability. CFA confirmed the accuracy of the tool’s six-factor structure, with all factors exhibiting factor loadings greater than 0.3. Internal consistency was excellent, as demonstrated by a high Cronbach’s alpha, McDonald’s omega, and Coefficient H. The test-retest reliability of the IBI was also robust, with an intraclass correlation coefficient (ICC) of 0.942.

Our study validated the Persian version of the Innovative Behavior Inventory-20 (IBI-20) for assessing innovative behaviors among Iranian nurses. The IBI-20 is a vital tool for addressing healthcare challenges. The validation process, including face validity, content validity, and confirmatory factor analysis, demonstrated excellent validity, establishing it as a reliable instrument for evaluating innovative behaviors among nurses. These findings significantly impact nursing practice and research, ultimately enhancing patient outcomes.