Planningfor Data Collection
Planningfor Data Collection
What isprompting your research design (quantitative, qualitative, or mixedmethods) choice in this week`s exercise?
Iopted for the quantitative research because it provides descriptivedata that is important in capturing the patients’ satisfactionlevels. Besides, the variables are easy to identity and the resultsattained from the survey can be generalized to represent the largerhospital population. Using quantitative research offers anopportunity where I can use statistics to extrapolate the datacollected to make predictions of the level of patients the hospitalwill have in the future (Polit & Beck, 2008). For example, in aninstance where many respondents are satisfied, there is a higherpossibility of return visits, and they can even recommend theirfamily members and friends to the hospital. Thus, it will increasethe possibility of having more patients in the future.
How doquantitative researchers identify the minimum number of participantsneeded in a sample? Forany survey, the researcher requires reliable representation of thefacts for it to be valuable. Therefore, he or she has to decide onthe most appropriate sample that will meet the intended objectives.In quantitative research, there is no standard sample size, but it isentirely dependent on the nature of the research questions, theavailability of resources, and the objectives set (Hall, 2008). Thus,the researcher identifies the minimum number of participantsdepending on the level of precision and the variation in the studypopulation. However, most researchers opt for large samples becausethe analysis generates results that are more accurate (Hall, 2008).
What options -other than a self-reporting survey – could be used to gather data ina hospital?
Otherthan self-reporting study, patients’ satisfaction can be determinedthrough an online survey (Phillips & Stawarski, 2008). Using theinternet and mobile applications will make the survey convenientwhere the patient will complete it in at their own time withoutnecessarily having to more time at the hospital filling in thequestionnaires. Besides, the high level of convenience will attractthe patients to participate in the survey.
What wouldbe the pros and cons of the various choices that you identify inrelation to validity and reliability?
Takinginto consideration the type of questions included in thequestionnaire ensures that the researcher does not extend beyond therange of the study. However, it becomes too limiting making itimpossible to consider other areas if they are not included in thesurvey objectives (Campbell, Daft & Hulin, 1983). Considering thevalidity when generalizing the results ensures that the conclusionsportray the valid level of patients’ satisfaction withoutpresenting any false projections. However, the completedquestionnaires may not represent the hospital population adequately.Thus, the generalization will only serve a small section, which makesit hard to make any accurate predictions of the future. Usingconsistency to maintain reliability is advantageous because it can beused to measure any changes in customer satisfaction. Then again, itrestricts the survey to similar data because modifying the questionwill lead to inconsistency (Campbell, Daft & Hulin, 1983).
Whatthreats to validity and reliability does the use of a conveniencesample pose in a survey?
Aconvenience sample poses threats to reliability and validity becauseit may introduce biases (Hall, 2008). It can lead tooverrepresentation or underrepresentation of a particular group ofpatients. Thus, it limits the researcher’s ability to generalizethe results from the sample to the hospital patients’ population.Using convince sample mainly collects data that represents the viewsof particular groups and not all the people under study (Hall, 2008).Hence, it eliminates the survey’s validity and reliability.
Campbell,J. P., Daft, R. L., & Hulin, C. L. (1983). Whatto Study: Generating and Developing Research Questions.Beverly Hills/Calif. [u.a.: Sage.
Hall,R. (2008). Appliedsocial research: Planning, designing, and conducting real-worldresearch.South Yarra, Vic: Palgrave Macmillan.
Phillips,P. P., & Stawarski, C. A. (2008). Datacollection: Planning for and collecting all types of data.San Francisco: Pfeiffer.
Polit,D. F., & Beck, C. T. (2008). Nursingresearch: Generating and assessing evidence for nursing practice.Philadelphia: Wolters Kluwer Health/lippincott Williams & Wilk