Understanding Business Research Terms and Concepts: Part 2

Topics: Survey sampling, Scientific method, Statistics Pages: 5 (1154 words) Published: September 26, 2014
Understanding Business Research Terms and Concepts: Part 2 Two research studies, The Workers' Compensation Experience: A Qualitative Exploration of Workers' Beliefs Regarding the Impact of the Compensation System on Their Recovery and Rehabilitation and A Comparative Study between Army Civilian Workforce and Private Industry Workforce Workers' Compensation Claims Management, pertaining to worker’s compensation will be analyzed. This paper will identify the statistical method used in each article, the strengths and weaknesses of each sampling method, instrument design and appropriate situations, strengths and weaknesses of each statistical approach, and which method works best in the Human Resources field. Article Summary

The first article, The Workers' Compensation Experience: A Qualitative Exploration of Workers' Beliefs Regarding the Impact of the Compensation System on Their Recovery and Rehabilitation, uses qualitative research to investigate the psychosocial elements of workplace injury and disability. It also aims to understand the relationship between the compensation environment and injured workers and implies that the compensation environment may have a negative effect on the psychological wellbeing of injured workers. The study used ethnographic interviewing to gain insight from injured workers about the relationships included in the occupational areas. Perceived injustice emerged as a potentially important area for further research in enhancing the outcomes of the compensable injury (Wall et al. 2009). The second article, A Comparative Study between Army Civilian Workforce and Private Industry Workforce Workers' Compensation Claims Management, uses quantitative research to compare the worker’s compensation case management processes between the Army civilian workforce and the private sector in an effort to improve the Army’s current processes and cut worker’s compensation expenditures. The study reviews three main areas, including the Army’s current worker’s compensation program and procedures, the description of a gold standard private industry worker’s compensation program and procedures, and assessment of the expenses and results of both parties. The study concluded that the Army should collect total cost spent, and total cost saved on each claim, as well as streamline their program and policies effective in all of their related organizations and offices (Hart, 2014). Sampling Strengths and Weaknesses

The first study used judgment sampling that is a type of non-probability sampling in its research study. This design is ideal for research studies that require a biased group for research in a particular subject. However, as with all non-probability sampling methods, it may not fully represent the population (Cooper & Schindler, 2014). The second study used simple random sampling method. This method is the purest form of probability sampling.  It provided an unbiased representation of the population. The group represents an unbiased selection because everyone has an equal chance of being chosen. However, this method requires can be very time-consuming and expensive and require a larger sample size than other methods in this category (Cooper & Schindler, 2014). Instruments and Design Situations

The first study pertaining to the worker’s compensation experience used ethnographic interviewing to gain insight from injured workers about the relationships included in the occupational areas. According to the article, ethnographic approaches produce data rich in detail, and it relates to the anthropological method of describing the local point of view (Wall et al. 2009). The participants were selected based on if the injury occurred within the last five years and had participated in at least one vocational rehabilitation program within the preceding 24 from the date of injury. The article related to the Army civilian workforce used a computerized system to randomly select workers’ compensation files by...
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