Sampling And Data Collection Plan Essay

1509 words - 7 pages



Sampling and Data Collection Plan
Twanna Perkins
QNT 561 Business Research & Statistics
August 24, 2015
Professor Dr. Luis R. Mora
Sampling and Data Collection Plan
Introduction
This paper outlines the sampling and data collection procedure. The sampling will be used to test the null hypothesis against the alternate hypothesis:
H0: Implementing Total Quality Management (TQM) will not increase product quality.
HA: Implementing Total Quality Management (TQM) will increase product quality.
A good qualitative study can help us “understand a situation that would otherwise be enigmatic or confusing” (Eisner, 1991, p. 58).
Research Question
Quality can be achieved ...view middle of the document...

Each group would have some level of insight to possible defects of the solar panels and their feedback will be critical in identifying possible solutions to our problem. This information will be collected of a period of six months to ensure an ample amount of data is collected.
Sample Size
If we want the best selection of data, we will use two measurements to ensure the accurateness of the data; confidence intervals also known as margins of errors as well as the confidence level. The margin of error will determine the deviation between the opinions of our respondents and the entire targeted population. The confidence level at 95 percent ensures our results fall within the boundaries of our margins of error, at 5 percent.
At the very minimum we will select a sample size of confidence level 95 percent to ensure the actual mean falls within our confidence interval. To achieve a 95 percent confidence level, we need to collect 385 samples. The process we will use to collect the samples will be simple random sampling because each element has an equal probability of being selected from a list of all population units. See Appendix A.
Data Collection
Since we are targeting a number of respondents both inside and outside of the manufacturing factory, we will select a mixed-method data collection approach to obtain the most useful information to answer critical questions about the defects in the solar panels. For the internal respondents (front line production workers, floor managers, production engineers, safety technicians, etc.) we elected to use exploratory focus groups. For the external respondents including installation technicians and customers, we will use surveys that will be distributed via postal mail as well as email. In addition, a survey will be given to each customer during installation of the solar panels. Sample surveys for both groups is located in Appendix B and Appendix C.
To ensure maximum participation, the company IVR (interactive voice response) system will automatically dial customers that have not completed the survey. The IVR will record customer’s responses via their phone’s keypad. There will also be an opt-out feature for those customers that are not interested in participating in the survey and this will remove their phone number from the survey directory. This data is stored on the company’s database and archived on the company’s secured cloud.
Validity and Reliability
To have valid information ensures the means of measurement are accurate and whether they are actually measuring what they are intended to measure. To ensure all information distributed and collected is valid, we will use a third-party vendor to examine the questions posed in the exploratory focus groups for internal respondents as well as the questions listed on the paper, electronic and virtual surveys will elicit relevant responses to ultimately lead to determining if implementing a TQM system will increase product quality. A high...

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