Statistical Analysis
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Running head: SAMPLING AND DATA COLLECTION PLAN |
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SAMPLING AND DATA COLLECTION PLAN |
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Sampling and Data Collection Plan
Nicole Calderon-Agudelo
University of Phoenix Online /QNT 561
November 3, 2014
Leda Villalobos
Sampling and Data Collection Plan
In this paper author will provide the overview about the research data collections techniques, required population sample size calculation using 95% confidence interval and 5% a 5% margin of error. Paper will also discuss the how the researcher will reach to validity (and reliability) of the data sample will be achieved. Further, it will also provide the overview of the physical data collection techniques used for the sample collections. Given scenario researcher is examining the how the profitability is directly affected by with the employee and customer satisfactions.
In this research process researcher will use the qualitative research design method to create the conclusive evidence to examine the research hypothesis because it helps to evaluate the human’s natural behavior and ideal for evaluation of impact of the employee and customer satisfaction plays important role in airline profitability. Two independent variables:
1. Customer Satisfaction
2. Employee Job Satisfaction
The dependent variable is defined as the airline total profits. Due to recent technological advancement to remain competitive in the market, ticket pricing should be competitive too, this can play a very important role in the airline overall profitability too.
Plan Design
In the most recent years, the traveling is becoming the part of the social media discussion, it always depends on the customer service provided by the airline employees, and employee efficiency always depends on their job satisfaction. Therefore, to collect the data research mostly depends on survey question or designed appropriate questioner. To collect the data for the job satisfaction short 3-question survey should be collecting from the employees that can provide the data related to job satisfaction and questions are mentioned in the following table (Table 1). Employees will be asked to pass by the administrative office and fill out the questionnaire in the computer. This questioner will be answered anonymously to protect employee identity and encourage honesty.
Table 1
Employee Satisfaction Questionnaire
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Questions to Ask |
Answer Choices |
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1. Do you feel satisfied with your current job? |
( Yes ( No ( Some |
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2. Do you think that the level of satisfaction with your job has an impact in your customer service delivery? |
( Yes ( No ( Some |
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3. Do you think you are directly responsible for customer satisfaction? |
( Yes ( No ( Some |
Additionally collecting the data for second variable to measure the impact of the customer satisfaction on profitability using the question mentioned in the (Table 2) is a list of questions for customer survey
Table 2
Customer Satisfaction Questionnaire
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Questions to Ask |
Answer Choices |
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1. Would you fly with us again? |
( Yes ( No ( Maybe |
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2. Do you think our prices are fair? |
( Yes ( No ( Somewhat |
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3. Are you satisfied with the airline service? |
( Yes ( No ( Somewhat |
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4. Will you recommend the airline based on the service offered today? |
( Yes ( NO ( Somewhat |
This questionnaire will be email to out customers with a thank you message for flying with this airline. Customers that fill out the questionnaire will be given a coupon with a 10% discount in their next flying ticket.
In developing surveys and questionnaires, it is important for researchers to determine the best method of delivering the questionnaire to participants. Researchers have several methods available, such as face-to-face interviews, electronic mailing of a questionnaire or telephone interviews survey (Cooper & Schindler, 2011). In the study it will be the most useful to have electronic mailing of a questionnaire or telephone interviews survey because the face-to-face approach may influence the customer input. How every providing the electronic mailing or hand out the information about the participation in the study will necessary to accomplish the study or to reach the conclusive evidence. Furthermore, required calculation for the sample size is provided in the Appendix-A and based on the calculation the sample size should be minimum of 385 inputs is required to make any conclusive decision for research hypothesis.
References
Cooper, D. R., & Schindler, P.S. (2011). Business research methods (11th ed.). New York, NY: McGraw-Hill/Irwin
Appendix –A
Sample size, SS = P(1 - P)*Z^2 / C^2
Where, Z = Z value (e.g. 1.96 for 95% confidence level) p = percentage picking a choice, expressed as decimal (.5 used for sample size needed) c = confidence interval, expressed as decimal
So,
P = 0.5
Z = 1.96
C = 0.05
So,
SS = 0.5 * 0.5 * (1.96)^2 /(0.05)^2`
= 384.16