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Data validation is an essential part of a comprehensive assessment. Validation is confirming or verifying and opening the door to gathering more assessment data as it clarifies vague or unclear data. The process of checking and verifying the collected information is called data validation. The primary purpose of data validation is to ensure data is as free from error, bias, and misinterpretation as possible.
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Lateral Violence in Nursing Survey: Instrument Development and Validation.

Lynne S Nemeth1, Karen M Stanley2, Mary M Martin3

  • 1College of Nursing, Medical University of South Carolina, Charleston, SC 29425, USA. nemethl@musc.edu.

Healthcare (Basel, Switzerland)
|July 30, 2017
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Summary
This summary is machine-generated.

This study validated the Lateral Violence in Nursing Survey (LVNS). Findings show the survey effectively measures lateral violence (LV) in nursing, identifying distinct subscales for prevalence and severity.

Keywords:
bullyingconstruct validityhorizontal violenceoppressed group behavior

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Area of Science:

  • Nursing
  • Healthcare Management
  • Organizational Psychology

Background:

  • Lateral violence (LV) in nursing is a significant workplace issue.
  • Existing instruments require psychometric validation for accurate measurement.
  • Understanding the prevalence and causes of LV is crucial for intervention.

Purpose of the Study:

  • To examine the psychometric properties of the Lateral Violence in Nursing Survey (LVNS).
  • To assess the reliability and validity of the LVNS in measuring perceived lateral violence among nursing staff.
  • To identify distinct subscales within the LVNS related to the prevalence and severity of lateral violence.

Main Methods:

  • Conceptual clustering and principal components analysis were applied to survey data from 663 nursing staff.
  • Cronbach's alpha (α) was used to evaluate internal consistency of survey subscales.
  • The study analyzed responses on the incidence, severity, and causes of lateral violence.

Main Results:

  • The LVNS demonstrated two distinct subscales for prevalence/severity of lateral violence (Cronbach's α = 0.74 and 0.86).
  • Items on the causes of LV were unidimensional and internally consistent (α = 0.77).
  • Rating a cause as "major" correlated with higher reported prevalence/severity of lateral violence.

Conclusions:

  • Subsets of the LVNS items are internally reliable, supporting its construct validity.
  • The LVNS can be revised to enhance its utility in future research on nursing workplace violence.
  • Findings support the LVNS as a valid instrument for assessing lateral violence in nursing.