Data Collection
QNT/351
Data Collection
Ballard Integrated Managed Services, Inc. (BIMS) is a housekeeping and food service support company to businesses. BIMS, Inc. is known to be high above the competitive industry with employees that are part-time as well as full-time. The issue that has arise is the turnover rate has increased over 64% and the reason why has not been determined. The HR manager, Debbie Horner has given Barbara, HRM staff the responsibility to survey the employees to collect data and determine what is the cause of the high turnover in the company.
The instrument used for data collection Debbie was chosen to develop a survey for collecting data about the employees of BIMS, Inc. Based on her background; Debbie has used this instrument of collection to ask basic questions regarding conditions with employee’s current positions. The survey collects some demographics to help identify what type of workers are reporting the conditions given, and if the turnover and morale issues have been coming from newer employees or those that are veteran staff. The questions and statements presented are basic to working conditions and include; “You enjoy your assigned shift, You are well trained for your work, How well do you enjoy working for BISM?” (Ballard Integrated Managed Services, Inc., Part 1 Exhibit A)
Types of data collected The types of data collected are both quantitative and qualitative data, collected through an employee survey. According to (McClave, Benson, & Sincich, 2011), “quantitative data are measurements that are recorded on a naturally occurring numerical scale.” Most of the survey is questions that require employees to rate their experiences on a scale of one through five, making that data collected quantitative. According to (McClave, Benson, & Sincich, 2011), “qualitative data are measurements that cannot be measured on a natural numerical scale, they can only be classified into one of a group of categories.” Questions A, C, and D ask the employees specific questions that cannot be numerically measured, making the data qualitative.
Level of measurement The data collection process used three types of measurement; Nominal, Ordinal, and Interval. Questions one through ten ask the employee to rate their answer on a scale of one to five, one meaning very negative and five being the most positive. These questions had a combination of two types of measurements; Ordinal and Interval. Ordinal measurement in this survey is evident by the numerical order of rating, one to five, to indicate very negative up to very positive. Interval measurement in this survey is also evident by the numerical order of rating in that the difference between the numbers is equal. In the second section of the survey questions A, B, and D require no order as to how they are answered. These three questions are a nominal level of measurement. C does require an order of how long the employee worked first in years then in months. This is viewed as Interval measurement. The accumulation of the data in Exhibit B takes all the data and totals the information based on the answers received. The answers are recorded in an Ordinal format in which they are listed in order of how they were presented in the survey. The data itself is nominal in that is reflects a singular answer for each question by each individual employee who took the survey. Exhibit B does not provide any information for what the data represents nor does it provide a ratio of the variables of the different answers.
Code of data The data in the employee survey has already been coded. Question A asks the employees which division they work in. The options are food, housekeeping, and maintenance with a code of 1, 2, and 3.Question B asks the employees how long they have worked for BIMS. The options are years and months, with a code of total months. Question C asks the employees their gender. The options are female and male, with a code of 1 and 2. Question D asks the employees if they are managers or supervisors. The options are yes and no, with a code of 1 and 2.
Clean the data by eliminating the data input errors made
Conclusion Based on the total information provided, it seems that the company definitely has some work to do esp. in encouraging more participation. A recent article has shown in a final few words how important they are in the following basic statement, “members have a duty to participate.” Very simply put, the company can use the statement for encouragement in the survey. The results of the small sample did show that just 36% of surveys answered the question “How well do you enjoy working for BIMS?” at a 4 or better and that the remaining have middle to negative response to the question with only one survey leaving the statement blank. In addition, virtually the same percentage felt that supervisor was fair. It seems that this particular situation may be one to further investigate. The best thing the company can do at this point comes back to the beginning and that is to encourage more participation to further the development of the data collected.
References
Lind, D. A., Marchal, W. G., & Wathen, S. A. (2011). Basic statistics for business and
economics (7th ed.). New York, NY: McGraw-Hill/Irwin. McClave, J. T., Benson, P. G., & Sincich, T. (2011). Statistics for business and economics (11th
ed.). Boston, MA: Pearson-Prentice Hall.
University of Phoenix. (2015). Ballard Integrated Managed Services, Inc. Part 1. Retrieved from
University of Phoenix, QNT/351-Quantitative Analysis for Business course website.
Carrel, A. (2014, April 23). Low chamber survey response a calamity. Terrace Standard 