Population/Sampling Method
Wal-Mart is a giant retail cooperation that is not able to provide adequate pay and benefits to the current employees (“Making change at Wal-Mart, 2014). One possible solution concerning this issue is to conduct research and to properly organize a way to survey or interview employees who are being directly affected. The target group in this research project would be Wal-Mart employees that are willing to participate in the study. These employees will range from different age groups, various backgrounds and cultures. Access to these employees would be during work hours or before or after work. Employees could come in early or stay late. Interviews could also be performed on days when business is slow. There are several types of sampling methods that can be used such as: simple random sampling, stratified sampling, systematic sampling, and cluster sampling (“Choosing a Sampling Method”, 2013). Random sampling is an effective way to measure the perspective of a group of people that is too large to interview (“Basics of choosing a survey population”, 2008). In this research, the random sampling will be the method used so that favoritism or being bias does not occur.
Instruments Used
Often times large groups of people are broken down into smaller groups because it can be too expensive and too time consuming (“Basics of choosing a survey population”, 2008). Some examples of instruments used to collect data are : informal and formal surveys, direct and participating observation, interviews, focus groups, expert opinions, case studies, existing records and literature search (Carroll) In this particular study the instruments that will be used is informal and formal surveys , case studies and interviews. Surveys can be on paper and handed out to employees or the survey could be accessed through a link on the computer. Computer stations will need