El Ghaziri Mazen, Storr Carla L, Simons Shellie R, Trinkoff Alison M, McPhaul Kathleen M, London Matthew, Johnson Jeffrey V, Lipscomb Jane
University of Massachusetts Lowell, Zuckerberg College of Health Sciences, Solomont School of Nursing, Lowell, MA, USA.
University of Maryland, School of Nursing, Baltimore, MD, USA.
Work. 2019;62(1):161-171. doi: 10.3233/WOR-182851.
Workplace violence is a global problem that includes actions collectively defined as bullying as perpetrated by a work colleague.
Two distinct studies were conducted to assess the feasibility of using an abridged 6-item scale within the 21- item Negative Acts Questionnaire-Revised (NAQ-R) designed to assess workplace bullying.
The pilot study was a psychometric review of the 21-item NAQ-R, and the main study was conducted to determine the reliability and the validity of using a 6-item version. Cronbach's alpha assessed the internal consistency of the two versions of the NAQ-R. Validity was assessed using logistic regression with theoretically related constructs with a pilot study (n = 420) using the 21-item scale, followed by the main study (n = 11,874) using the 6-item version.
Both the pilot study (21-item)and the main study (6-item) versions of the NAQ-R demonstrated high internal consistency (Cronbach's alpha 0.93-0.86, respectively). Similar to the 21-item, the 6-item version had a significant impact on the intent to remain on the job, being personally affected, and supported the protective role of the organizational climate against exposure to negative acts.
This study supports using the 6-item NAQ-R, which can reduce respondent burden and streamline data gathering and analysis.
工作场所暴力是一个全球性问题，其中包括同事实施的被统称为欺凌的行为。
开展两项不同的研究，以评估在旨在评估工作场所欺凌的21项《负面行为问卷修订版》（NAQ-R）中使用简化的6项量表的可行性。
预试验是对21项NAQ-R进行心理测量学审查，主要研究旨在确定使用6项版本的信度和效度。克朗巴哈系数评估了NAQ-R两个版本的内部一致性。效度评估采用逻辑回归，将理论相关结构与预试验（n = 420）中使用21项量表、主要研究（n = 11874）中使用6项版本相结合。
NAQ-R的预试验版本（21项）和主要研究版本（6项）均显示出较高的内部一致性（克朗巴哈系数分别为0.93 - 0.86）。与21项版本类似，6项版本对留职意愿、个人受影响程度有显著影响，并支持组织氛围对免受负面行为影响的保护作用。
本研究支持使用6项NAQ-R，它可以减轻受访者负担，简化数据收集和分析。
