Literature DB >> 30689599

Comparative psychometric review of the Negative Acts Questionnaire-Revised in a unionized U.S. public sector workforce.

Mazen El Ghaziri1, Carla L Storr2, Shellie R Simons1, Alison M Trinkoff2, Kathleen M McPhaul3, Matthew London1,4, Jeffrey V Johnson2, Jane Lipscomb2.   

Abstract

BACKGROUND: Workplace violence is a global problem that includes actions collectively defined as bullying as perpetrated by a work colleague.
PURPOSE: 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.
METHODS: 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.
RESULTS: 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.
CONCLUSION: This study supports using the 6-item NAQ-R, which can reduce respondent burden and streamline data gathering and analysis.

Keywords:  Bullying; measurement; negative acts questionnaire-revised; psychometrics; public zzm321990sector

Mesh:

Year:  2019        PMID: 30689599     DOI: 10.3233/WOR-182851

Source DB:  PubMed          Journal:  Work        ISSN: 1051-9815


  3 in total

1.  National Assessment of Workplace Bullying Among Academic Surgeons in the US.

Authors:  Kevin Y Pei; Janet Hafler; Adnan Alseidi; Martin D Slade; Mary Klingensmith; Amalia Cochran
Journal:  JAMA Surg       Date:  2020-06-01       Impact factor: 14.766

2.  An App for Detecting Bullying of Nurses Using Convolutional Neural Networks and Web-Based Computerized Adaptive Testing: Development and Usability Study.

Authors:  Shu-Ching Ma; Willy Chou; Tsair-Wei Chien; Huan-Fang Lee; Julie Chi Chow; Yu-Tsen Yeh; Po-Hsin Chou
Journal:  JMIR Mhealth Uhealth       Date:  2020-05-20       Impact factor: 4.773

3.  Bullying in Fly-In-Fly-Out employees in the Australian resources sector: A cross-sectional study.

Authors:  Peta Miller; Libby Brook; Norman Stomski; Graeme Ditchburn; Paul Morrison
Journal:  PLoS One       Date:  2020-03-24       Impact factor: 3.240

  3 in total

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