Response to Nicole Adorno DQ1

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There are many different ways a researcher can introduce an experimental design. An example of a quasi-experimental design would be the when and whom of the experiment. The quasi-experimental design is partially controlled, the when and the whom are the variables that show cause and effect. An example of a quasi-experiment would be having a group of patients who are divided into groups for teaching on Gestational Diabetes Mellitus. The first group is given only a pamphlet to read, the second group is shown a video, and the third group has an interactive education session with an instructor. At the end of the teachings they will all be given a post test to measure the effectiveness of each teaching method. The debate can still be that some patients have different learning styles preventing the method they were given to be effective. It would be difficult to measure the definitive effectiveness because of different learning abilities and level of education.

A non-experimental research method allows for a natural experience rather than the researcher manipulating the experiment. An example of this would be initiating risk management in a facility for the employees. The workshop would provide education on preventing back injuries by using proper body mechanics, use of devices, asking for help, and taking your time transferring patients. The problem with proving this experimental data is that only the employees that attend the workshop and the current patients can be evaluated on a case study. Any prior or future patients may not be able to be used as the employees at that time may not have attended this workshop.

Experimental research is used to compare one variable to the next. This method is typically done in a controlled environment like a classroom, lab, or workshop. To do an experimental research you need a variable, a dependant variable, and a controlled group to be used. An example of this method would be a new medication and the effects on a bacteria. If the lab applies the medication to one of the samples it will show the difference in result to the sample that did not receive the medication.

Grand Canyon University (Ed). (2018). Applied statistics for health care. Retrieved from

https://lc.gcumedia.com/hlt362v/applied-statistics-for-health-care/v1.1/

O’Dwyer, Laura M.(2014)Quantitative research for the qualitative researcher / Laura M. O’Dwyer, Boston College, James A. Bernauer, Robert Morris University.https://lopes.idm.oclc.org/login?url=https://search.ebscohost.com/login.aspx?direct=tru&db=cat01182a&AN=gcu.376993&site=eds-live&scope=site

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