Quasi-experimental research designs


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        A quasi experiment is the kind of experiment that seeks to evaluate conditions in non-profit making organizations. Examples of non-profit making organizations include the Red Cross, YMCA, and The Hospice, among many others (Thyer, 2012). A hospice is a special hospital, mostly sponsored by the government of a country, where the practical, emotional, and medical needs of dying patients are met. A hospice is the kind of organization where emergency is the norm and is the least among other non-profit making organizations.

A number of questions would be viable in this case. For instance, what are the working conditions? Does the station operate 24 hours in a day? But the kind of question that would give more and better information according to research would be; how many (dying) people are ministered to in a month? Such a question would give the research party broader perspective in the whole process compared to the others. The kind of data that I would gather would most likely dwell on such factors as, employee number, whether all the employees are professionally trained and the budget range. The three nuggets would be the primary areas of data collection considering the depth and width of information they would gather (Thyer, 2012).

In the data collection process, it would be prudent to employ the services offered by employees. Therefore, I would use an employee of high proficiency in getting down to the process. This would, most likely promote the quality and quantity of the final findings, having in mind the experience of the employee. According to Thyer (2012), limitation would be inevitable, especially in this kind of process. Some of the limitations likely to be faced by employees in the field would involve: the time of emergency (uncertainty on when to send an employee), lack of total co-operation from the management and inadequate capital. There are a number of challenges but the above mentioned would be the most likely.


Thyer, B. A. (2012). Quasi-experimental research designs. New York: Oxford University Press.

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