Malay Validation of Copenhagen Psychosocial Work Environment Questionnaire in Context of Second Generation Statistical Techniques.
Ahmad Shahrul Nizam IshaMuhammad Umair JavaidAmir Zaib AbbasiSobia BanoMuhammad ZahidMumtaz Ali MemonUmair RehmanMatthias NüblingAsrar Ahmed SabirSaif Ur RehmanNazish ImtiazPublished in: BioMed research international (2020)
Psychosocial hazards present in workplaces are being actively investigated by researchers from multiple domains. More research and resources are required to investigate the debilitating consequences of these hazards in the developing and underdeveloped countries where this issue remains one of grave concern. This study aims at investigating the psychometric properties of Malaysian version of Copenhagen Psychosocial Questionnaire for reliability and validity purpose. The Malaysian version of COPSOQ is a multidimensional questionnaire; it comprises of 7 major formative constructs and 28 variables with an additional inclusion of two variables which are organizational loyalty and physiological health biomarkers (blood pressure and body mass index) that explicate a reflective construct which has 93 items all catering to assess psychosocial determinants present in workplace environments. Each formative second-order construct is further categorized into different reflective first-order constructs. The focus of this study was only on first-order reflective constructs. Probability sampling was used for data collection from 300 respondents working in industries with a response rate of 100%; structural equation modeling technique was applied for data analysis. All psychometric analysis performed on reflective constructs gave reliable results which demonstrate the validity of Bahasa Melayu (BM-COPSOQ) and its comprehensiveness of including relevant dimensions particularly in context to Asian region. The BM-COPSOQ will fill up the knowledge gap and provide a bridge between researchers, work professionals and practitioners, and many other workplaces for the best understanding of psychosocial work environment.
Keyphrases
- psychometric properties
- mental health
- data analysis
- body mass index
- blood pressure
- healthcare
- public health
- cross sectional
- primary care
- big data
- physical activity
- machine learning
- heart rate
- weight gain
- high resolution
- metabolic syndrome
- health information
- artificial intelligence
- patient reported
- hypertensive patients
- insulin resistance
- human health
- glycemic control
- atomic force microscopy