Random Samples as a “Gold Standard” in Research

Random sampling is a quintessential tool utilized to eliminate researcher bias in research studies by selecting and studying a random sample size for a group of individuals from a larger population group. Hence, the random selection of a sample group is of grave significance as it is a primary determinant that the average sample group used accurately represents the population thereby enabling the formulation of valid conclusions. In the article entitled “Workplace Bullying and Sickness Absence in Hospital Staff,” researchers applied random sampling to examine the association between the exposure to workplace bullying and the risk of developing cardiovascular disease and depression in hospital personal (Kivimäki et al., 2000, p. 779). A longitudinal study examined the same group of individuals over a specific timeframe of 2 years. A questionnaire was administered to all 10,969 employees who worked in Finnish hospitals in 1998 and a follow-up questionnaire was sent in 2000 (Kivimäki et al., 2000, p. 779). The prevalence of bullying was assessed “in a random sample of Finnish citizens aged 25-64,” in which “4% of social welfare and healthcare workers reported being victims of bullying” (Kivimäki et al., 2000, p. 781).

Due to a growing phenomenon associated with confidentiality, new regulations are continuously being developed and implemented to ensure that any publicly released information does not compromise the privacy of individuals or organizations involved in research-based studies. Since a series of records are contained within microdata, once micro data is released for use by third parties the information is masked to minimize the possibility of disclosure (Bethelem, Keller, & Pannekock, 1990, p. 40). Utilization of statistical disclosure control techniques prohibits personal information from being revealed and disseminated about the Finnish healthcare professionals involved in the bullying research study. 

References

Bethlehem, J.G., Keller, W.J., & Pannekock J. (1990). Disclosure control of microdata. Journal of the American Statistical Association, 85(409), 38-45.

Kivimäki, M., Elovainio, M., & Vahtera, J. (2000). Workplace bullying and sickness absence in hospital staff. Occupational and Environmental Medicine, 57(10), 656-660.