project for Waqas

1

Running Head: DATA COLLECTION

10

DATA COLLECTION

Data Collection: Ballard Integrated Managed Services, Inc.

Introduction

Ballard Integrated Managed Services, Inc. (BIMS) provides housekeeping and foodservices to very large corporate and businesses for a fee. BIMS employs approximately 452 employees of with includes full-time and part-time workers as well as upper management employees. The turnover rate averages about 55 to 60%. BIMS records for the past four months shows that the turnover rate increased more 64%. With the unsuccessful attempt managements to reach the issue for the high turnover rate; Team C has come to the conclusion that with low morale at BIMS and the increase of sick leave, the performance of the workers are not the best and this cause a number of complaints from the customers. Team C will use the data collection to address the issues at hand. Comment by Peter Dorsa: Please make sure each week that you turn in this report you include all of the work done so far and clean up prior information. Comment by Peter Dorsa: The purpose of the Learning Team assignment is acquaint teams with the research study undertaken, purpose of the study, research question, and so on. The team assignment is to complete the first step in data analysis in the following form: Describe the problem, purpose, research questions, and hypotheses Evaluate of the instrument used for data collection Describe and evaluate how the data was collected Code the data and evaluate the procedure used Clean the data by eliminating the data input errors made Draw conclusions about appropriateness of data to meet the purpose of the study Resources Required Data collected from RES/351 University of Phoenix Material: Ballard Integrated Managed Services, Inc, Part 1.

Data Collection Instrument

The instrument used for the collection of data was a survey. This survey was ten questions to help determine how the employees feel about their job. Since the surveys were anonymous, it will help the results be more accurate. In this particular case the data collected was will initially use the quantitative collection method. This relies on a collection of answers based from a structured survey. The results are used to summarize and compare between the departments and manager or supervisor and the relationship between gender and the length of employment. Once the survey results have been completed the collection method will then become qualitative research. The research becomes more personal will gain more understanding of the underlying reasons for the low morale at BIMS. For these results to continue to work the recorded results need to be more accurate.

Types of Data

BIMS has over the past couple months’ notice a big drop in the employee morale and work ethic. With this the higher management has become concerned about the staff’s higher turnover rate. With accompany that differentiates itself in an extremely competitive trade by uniting several services like housekeeping, foodservice, general cleaning, and physical plant maintenance. The management needs to question which department shows the most decrease in moral and attendance. From the employees that are showing lack of interest in their job, have they been there over 12 months? With that to be found out, are the supervisors not doing their jobs? These are all the questions that need to be researched. The hypothesis is that the majorities are unsatisfied with how things are going at BIMS and the mode will be in favor of the males and regular working employees.

Levels of Measurement Comment by Peter Dorsa: This week’s purpose is to acquaint students with summarizing qualitative and quantitative data in tables and charts and to acquaint them with the applications of descriptive statistics in summarizing quantitative research study data and making business-related decisions. The applications of descriptive statistics extends to solving and displaying the statistics including measures of central tendency and variability. The different applications of descriptive measures including the mean, median, mode, variance, and standard deviation are assessed.

To assign a level of measurement to each of the variables one needs to figure out if the variable is qualitative or quantitative then if it is nominal, ordinal, interval, or ratio. These are the levels of measurement. Nominal level will tell if the variable can only be categorized and no natural numerical is associated with it. An ordinal level of measurement is assigning a numerical to the category with no further mathematical use. The interval level is when there is a consistent difference between numerical values. The ratio level of measurement is when there is a meaningful 0 (zero) point with all other characteristics of the three other levels of measurement.

The following are the variable and the levels of measurement for each. The first 10 are based on a 1-5 scale. One being very negative and five being very positive.

1. How well do you enjoy working for BIMS? 1. qualitative - ordinal

2. You enjoy your assigned shift. 2. qualitative - ordinal

3. Your request for your desired shift was fulfilled. 3. qualitative - ordinal

4. How many times have you called in sick in the last month? 4. quantitative - ratio

5. You are well trained for your work. 5. qualitative - ordinal

6. You are paid fairly for the work you do. 6. qualitative - ordinal

7. Your supervisor treats you fairly. 7. qualitative - ordinal

8. Your supervisor’s boss treats your division fairly. 8. qualitative - ordinal

9. The company is good at communicating. 9. qualitative - ordinal

10. You do not fear that you will lose your job. 10.qualitative - ordinal

A. In which division do you work? A. Food: _ Housekeeping: _ Maintenance: _ qualitative - nominal

B. How long have you worked for BIMS? B. Years: _____ Months: _____quantitative - ratio

C. What is your gender? C. Female: _____ Male: _____ qualitative - nominal

D. Are you a manager or supervisor? D. Yes: _____ No: _____ qualitative - nominal

Data Coding

Coding is going to be applied to the last four question A. - D. These questions are going to be coded accordingly. A. food=1, housekeeping=2, maintenance=3. B. years and months were all converted into months to make it easier to read. C. female=1, male=2. D. yes=1, no=2. These are coded so that they are able to be put into a bar graph or chart to go along with the rest of the data collected. The first 10 questions are evaluated on a 1-5 scale. These questions will be input as chosen and any information not given has been given a 0 (zero) to represent no input.

Data Scrub Comment by Peter Dorsa: Present qualitative and quantitative data in tables and charts. Calculate central tendency and dispersion. Describe the shape of data distribution in charts—box plot, stem and leaf plot, dot plot, and so on.

Unfortunately, there were several errors made when recording the survey results. Specifically, one employee mistyped “5” responses as “6” in several instances. Therefore, the data had to be scrubbed and verified as correct. The correct data is set forth in Appendix A hereto.

Appropriateness of Data

As presented, the data does seem to be appropriate in representing the morale of employees and their satisfaction in their work. Obviously, the data had to be sanitized and corrected due to input errors by the employee who translated that data.

Conclusion Comment by Peter Dorsa: Look at the last assignments ie this paper and make sure you work toward filling all the blanks.

78 of the r 449 employee population responded to the survey. This is only a 17.3% overall response rate according to University of Phoenix, 2011, BIMS. The survey did not allow for an accurate overall reading of the total working force. The management wanted to know honest feelings of their workers to fix the problems they have ongoing. Due to the lack of participation this was not accomplished ; however Team C gave them the bottom line upfront to help them with their issues

C

Appendix A

No. Q1 Q2 Q3 Q4 Q5 Q6 Q7 Q8 Q9 Q10 A B C D

1 3 4 0 1 5 1 3 0 3 2 3 37 2 2

2 5 5 5 5 5 3 5 5 2 5 1 12 1 2

3 1 2 1 5 5 1 1 1 1 1 2 76 1 2

4 2 5 3 3 2 4 5 1 3 4 2 3 2 1

5 4 4 5 1 4 1 3 3 2 4 2 16 1 2

6 5 2 5 4 3 3 2 1 2 1 1 52 1 2

7 0 1 4 5 3 2 5 4 2 1 1 8 2 2

8 1 3 2 2 5 2 4 5 3 2 2 28 0 2

9 3 3 1 4 4 2 2 2 2 4 3 15 2 1

10 5 1 3 2 2 2 1 4 1 1 1 83 2 2

11 5 4 3 3 1 3 3 2 2 1 2 21 1 1

12 4 5 1 3 3 2 3 3 3 2 1 216 2 2

13 2 2 4 0 3 3 1 3 3 3 1 27 1 1

14 1 4 5 5 1 3 4 0 2 1 2 5 1 2

15 3 2 2 4 4 0 5 5 3 4 3 27 2 2

16 3 3 4 1 5 2 2 4 4 5 2 16 2 2

17 1 3 2 1 2 3 4 1 2 2 1 4 1 2

18 4 0 3 2 4 1 2 1 1 4 2 58 2 2

19 5 5 3 5 2 1 3 2 3 2 1 108 0 1

20 2 4 2 1 3 2 3 5 3 3 2 82 2 2

21 4 1 5 5 4 3 5 2 1 3 1 43 2 2

22 2 1 4 2 2 1 5 4 3 0 0 14 1 0

23 3 2 1 3 5 4 4 2 2 5 2 96 1 2

24 3 5 1 2 4 2 1 3 2 4 2 251 2 2

25 2 1 2 2 1 3 1 2 4 1 3 87 1 1

26 5 4 5 3 1 2 2 2 2 1 1 15 1 2

27 4 2 1 5 2 2 5 3 3 2 2 7 2 2

28 1 3 4 4 5 3 1 5 3 5 2 36 2 2

29 1 2 2 4 1 2 4 4 2 1 1 139 1 2

30 2 2 3 2 4 1 2 4 1 4 1 47 2 0

31 5 3 2 2 2 4 3 2 4 2 2 14 2 2

32 1 5 2 3 3 2 2 2 1 3 1 9 2 2

33 4 4 3 1 2 2 2 3 1 2 3 7 1 2

34 2 4 5 1 2 3 3 1 2 2 2 116 2 2

35 3 2 4 2 3 1 5 1 3 3 1 73 2 1

36 2 2 4 5 5 1 4 2 1 5 1 157 1 2

37 2 3 2 4 4 2 4 5 3 4 2 14 2 2

38 3 1 2 2 4 1 2 4 2 4 1 2 1 2

39 5 1 3 1 2 3 2 2 3 2 2 69 2 2

40 4 2 1 0 2 2 3 1 2 2 1 14 2 1

41 4 5 1 3 3 1 1 0 2 3 2 67 2 2

42 2 4 2 2 1 0 1 3 3 1 2 44 1 2

43 2 2 5 1 1 3 2 2 2 1 1 60 2 2

44 3 1 4 4 2 2 5 1 4 2 1 8 2 1

45 1 0 2 3 5 1 4 4 2 5 2 57 2 2

46 1 3 1 2 4 1 2 3 2 4 2 277 1 2

47 2 2 5 5 2 3 1 2 2 2 1 328 2 2

48 5 1 3 3 1 2 5 5 3 1 2 57 2 2

49 4 4 2 2 5 2 3 3 1 0 1 97 1 2

50 2 3 1 1 3 3 2 2 1 3 2 54 2 2

51 1 2 4 4 2 2 1 1 2 2 3 17 2 2

52 5 5 3 4 1 1 4 4 3 1 1 6 2 2

53 3 3 2 1 4 2 3 4 2 4 2 209 1 2

54 2 2 5 2 3 4 2 1 2 3 1 96 2 2

55 1 1 3 5 2 1 5 2 1 2 1 5 2 1

56 4 4 2 2 5 2 3 5 3 5 2 6 2 2

57 3 4 1 3 3 2 2 2 3 3 2 12 2 2

58 2 1 4 3 2 2 1 3 2 2 1 4 2 2

59 5 2 4 2 1 3 4 3 1 1 2 7 2 2

60 3 5 1 3 0 3 4 2 1 4 3 19 1 2

61 2 2 2 2 4 2 1 3 3 4 2 119 2 2

62 1 3 5 1 1 3 2 2 2 1 1 53 2 2

63 4 3 2 4 2 2 5 1 2 2 2 22 2 1

64 4 2 3 5 5 1 2 4 3 5 1 14 2 2

65 1 3 3 2 2 4 3 5 2 2 2 23 1 2

66 2 2 2 1 3 1 3 2 1 3 1 7 2 2

67 5 1 3 5 3 2 2 1 2 3 1 5 2 2

68 2 4 2 2 2 1 3 5 4 2 2 9 1 2

69 3 5 1 0 3 3 2 2 1 3 2 19 2 2

70 3 2 4 4 2 2 1 0 2 2 3 18 1 2

71 2 1 5 5 1 0 4 4 2 1 2 57 1 2

72 3 5 2 1 4 3 5 5 2 4 2 49 2 2

73 2 2 1 2 5 2 2 1 3 5 1 61 1 2

74 1 0 4 4 2 1 1 2 3 2 1 11 2 2

75 4 4 5 5 1 2 4 4 2 1 2 90 2 1

76 5 5 2 1 4 2 5 5 3 5 3 47 1 2

77 2 1 1 2 5 4 2 1 1 2 1 63 1 2

78 1 2 3 5 2 1 1 2 1 4 2 10 2 2

Questions

Questions 1 – 3, 5 – 10: Rate measurements on a scale from 1 to 5 in which 1 represents a very negative response and 5 represents a very positive response.

· Question 4: How many times have you called in sick in the last month? Missing data: 0, Number of Days: 1 through 5.

· Question A: In which division do you work? Food: 1, Housekeeping: 2, Maintenance: 3.

· Question B: How long have you worked for BIMS? Employees’ years and months of service were converted to total months ranging from two months to 328 months.

· Question C: What is your gender? Missing data: 0, Female: 1, Male: 2.

· Question D: Are you a manager or supervisor? Missing data: 0, Yes: 1, No: 2.

· Typographical errors are evident in the data where the number 6 was typed instead of the intended value of 5.

Exit Interview (University of Phoenix, 2011, Week Two Supplement):

· Questions 1 – 10: Rate measurements on a scale from 1 to 5 in which 1 represents the employee strongly disagrees with the statement and 5 represents the employee strongly agrees with the statement.

· Question 11: What is the primary reason that led you to decide to quit? I do not like the work: 1, I do not like my supervisor: 2, I am not satisfied with the pay: 3, I am not satisfied with my shift: 4, and Other: 5.

· Question A: In which division do you work? Food: 1, Housekeeping: 2, Maintenance: 3.

· Question B: How long have you worked for BIMS? Employees’ years and months of service were converted to total months ranging from two months to 328 months.

· Question C: What is your gender? Female: 1, Male: 2.

References

Data Collection Methods. (). Retrieved from http://people.uwec.edu/piercech/researchmethods/data%20collection%20methods/data%20collection%20methods.htm