Hashemian Moghadam Azam, Nemati-Vakilabad Reza, Imashi Reza, Yaghoobi Saghezchi Roghayeh, Mirzaei Alireza
Department of Psychology, Faculty of Education and Psychology, Ferdowsi University of Mashhad, Mashhad, Iran.
Department of Medical-Surgical Nursing, School of Nursing and Midwifery, Ardabil University of Medical Sciences, Ardabil, Iran.
BMC Nurs. 2024 Dec 21;23(1):944. doi: 10.1186/s12912-024-02634-0.
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.
本研究旨在翻译并评估伊朗西北部临床护士中创新行为量表-20（IBI-20）波斯语版本的心理测量特性。
对阿尔达比勒医学培训中心的321名护士进行了一项带有心理测量分析的描述性调查。该研究采用分层比例抽样方法。使用标准问卷收集数据，包括人口统计学资料表和创新行为问卷。使用IBM SPSS Statistics for Windows 26.0版计算描述性统计量，如均值、标准差、频率和百分比。通过克朗巴赫α系数、麦克唐纳ω系数和H系数评估信度。使用IBM SPSS 26.0版和AMOS 24.0版进行验证性因子分析（CFA）和结构方程模型（SEM），显著性水平设定为p < 0.05。
研究结果表明，IBI-20具有良好的表面效度、内容效度、结构效度、收敛效度和区分效度以及信度。CFA证实了该工具六因素结构的准确性，所有因素的因子载荷均大于0.3。内部一致性极佳，克朗巴赫α系数、麦克唐纳ω系数和H系数均较高。IBI的重测信度也很强，组内相关系数（ICC）为0.942。
我们的研究验证了创新行为量表-20（IBI-20）波斯语版本在评估伊朗护士创新行为方面的有效性。IBI-20是应对医疗保健挑战的重要工具。包括表面效度、内容效度和验证性因子分析在内的验证过程显示出极佳的效度，使其成为评估护士创新行为的可靠工具。这些发现对护理实践和研究具有重大影响，最终可改善患者结局。
