Reference no: EM133186268
A Canadian retail chain has 100 stores in Toronto, Montreal and Vancouver, with 10,000 employees. Among the employees, there are 10% middle-level managers, 10% lower-level managers, 20% first-line supervisors, and 60% customer service representatives. The company president asks you (a researcher) to conduct a survey and interviews among employees on employee satisfaction with career development.
a) Probability sampling. Assume that the sample size for the survey is determined to be 1,000 employees.
• Explain 4 ways of selecting a probability sample of 1,000 from the list of 10,000 employees, and the advantages and disadvantages of each design.
• Last year, another researcher conducted a survey on whether employees were in favour of working from home. The result was 65% of employees supported working from home, with the margin of error is +/- 3%, 19 times out of 20. Please explain this survey result.
b) Non-probability sampling (3 marks). Assume that the sample size for the interviews is determined to be 100 employees. Explain 3 ways of selecting a non-probability sample of 100 from the list of 10,000 employees, and the advantages and disadvantages of each design.
• Explain why managers need to understand the probability and non-probability sampling methods used by researchers.