Confirmatory factor analysis of the Malay Post traumatic Stress Disorder Checklist (MPCL-C) among nurses of Kuala Krai Hospital Post "Bah Kuning"

Khairtl Idham Ismail, Rosnah Ismail, Rapidah Bahari

Research output: Contribution to journalArticle

Abstract

The Malay Posttraumatic Stress Disorder Checklist (MPCL-C) has never been validated on nurses whom identified as a highly stressful occupation with higher rates of psychological problems compared to other professions. "Bah Kuning" in year 2014 was described as the worst flood in the history of Kelantan State. Many nurses continued to work despite being heavily affected by the disaster themselves. This event is an added traumatic burden, which may be affecting their mental health particularly PTSD. This article is to evaluate construct validity of MPCL-C using structural equation modeling among nurses 8 months after the flood had occurred. Data of 192 nurses of various positions had answered the MPCL-C. All items were submitted to confirmatory factor analysis using IBM AMOS version 20. Three items from avoidance domain were removed due to low factor loading. Each measurement model had demonstrated good internal reliability, i.e. Chronbach's alpha values of 0.86, 0.86 and 0.90 for re-experiencing, avoidance and arousal domains respectively and 0.94 for overall. Each domain had construct reliability greater than 0.6. The three-factor structural model showed construct validity (RMSEA=0.09, GFI= 0.90, CFI=0.93 and Chisq/df=2.35). All items in each domain were statistical significant and each domain had average variance extracted value greater than 0.5. The MPCL-C is a valid and reliable tool to screen for PTSD among nurses for the studied population.

Original languageEnglish
Pages (from-to)885-890
Number of pages6
JournalAsian Journal of Microbiology, Biotechnology and Environmental Sciences
Volume18
Issue number4
Publication statusPublished - 2016

Fingerprint

Post-Traumatic Stress Disorders
Checklist
factor analysis
Statistical Factor Analysis
Nurses
mental health
occupation
disaster
history
modeling
Structural Models
Disasters
Arousal
Occupations
Mental Health
History
hospital
Psychology
Population
rate

Keywords

  • Factor analysis
  • Flood
  • Nurses
  • PCL-C
  • Posttraumatic
  • PTSD

ASJC Scopus subject areas

  • Biotechnology
  • Microbiology
  • Applied Microbiology and Biotechnology
  • Environmental Science(all)

Cite this

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