1 Data Collection Maria Castro, Jose Collado, Joyce Esquilin, Josean Quintana, and Ephraim Torres Quantitative Analysis for Business - QNT / 351 May 21, 2015 University of Phoenix Overview-problem, Purpose, Research Question, and Hypothesis As consultants to Ballard Integrated Managed Services Inc. (BIMS) we are focused on the overview-problem of the employees’ morale and the effect on the company’s operation. BIMS is a company that is committed to providing food and hospitality services while also providing housekeeping and food services to other corporations and institutions. The three division within the company have a significant function and represent the company’s goals and interests. The General Manager, Barbara Tucker, is responsible for the three divisions and the staff management. Ms. Tucker has noticed there is a serious situation of an increase in employee turnover within the last four months. There has been an increase of 4% up to 9% in the annual turnover rate. The department heads also noticed there was a situation with the turnover rate and morale of the employees. Still the department heads were unable to tell the general manager the “why” of the situation. Purpose – As General Manager Ms. Tucker must find the answer as to why her employee’s motivation has been deteriorating and the amount of complaints is on the rise. The general manager has chosen to meet with her department heads and look for a possible solution to the situation. Research questions – The Human Resources Manager suggested to the General Manager on surveying the employees in order to identify the decrease in the employees’ morale. The survey included questions about the employee’s feelings working for the company, and other issues that affected their morale. Hypothesis – With only 17% of the company’s employees completing the survey to the Human Resources Manager, which is a common rate of return, there has to be additional efforts made to encourage the employees to generate more useable information. Data Collection Instruments The survey is based on quantitative evaluations that will help to generate an evaluation hypothesis; strengthening the design of survey questionnaires and expand or clarify the quantitative evaluations. The survey is the data collection instrument that will assist in identifying the feedback of the level of satisfaction of the BIMS employees. Identify types of data collected The data collection is an important aspect of any research study and ultimately leads to invalid results; the method used was the quantitative data collection. The data gathered was used with linkers scaling that is a one-dimensional scaling process. This method plays an important role in impacting the evaluation by providing information useful to understand the processes that were used to identify the reason for the increase in employee’s turnovers. How data is collected Recording and organizing data may take many different forms, de.

1. 1
Data Collection
Maria Castro, Jose Collado, Joyce Esquilin,
Josean Quintana, and Ephraim Torres
Quantitative Analysis for Business - QNT / 351
May 21, 2015
University of Phoenix
Overview-problem, Purpose, Research Question, and Hypothesis
As consultants to Ballard Integrated Managed Services Inc.
(BIMS) we are focused on the overview-problem of the
employees’ morale and the effect on the company’s operation.
BIMS is a company that is committed to providing food and
hospitality services while also providing housekeeping and food
services to other corporations and institutions. The three
division within the company have a significant function and
represent the company’s goals and interests. The General
Manager, Barbara Tucker, is responsible for the three divisions
and the staff management. Ms. Tucker has noticed there is a
serious situation of an increase in employee turnover within the
last four months. There has been an increase of 4% up to 9% in

2. the annual turnover rate. The department heads also noticed
there was a situation with the turnover rate and morale of the
employees. Still the department heads were unable to tell the
general manager the “why” of the situation.
Purpose – As General Manager Ms. Tucker must find the answer
as to why her employee’s motivation has been deteriorating and
the amount of complaints is on the rise. The general manager
has chosen to meet with her department heads and look for a
possible solution to the situation.
Research questions – The Human Resources Manager suggested
to the General Manager on surveying the employees in order to
identify the decrease in the employees’ morale. The survey
included questions about the employee’s feelings working for
the company, and other issues that affected their morale.
Hypothesis – With only 17% of the company’s employees
completing the survey to the Human Resources Manager, which
is a common rate of return, there has to be additional efforts
made to encourage the employees to generate more useable
information.
Data Collection Instruments
The survey is based on quantitative evaluations that will help to
generate an evaluation hypothesis; strengthening the design of
survey questionnaires and expand or clarify the quantitative
evaluations. The survey is the data collection instrument that
will assist in identifying the feedback of the level of
satisfaction of the BIMS employees.
Identify types of data collected
The data collection is an important aspect of any research study
and ultimately leads to invalid results; the method used was the
quantitative data collection. The data gathered was used with
linkers scaling that is a one-dimensional scaling process. This
method plays an important role in impacting the evaluation by
providing information useful to understand the processes that
were used to identify the reason for the increase in employee’s
turnovers.
How data is collected

3. Recording and organizing data may take many different forms,
depending on the kind of information you need to collect. The
data was collected by surveys; this collection process was
necessary to ensure the data gather are both defined and correct.
The following decisions were based on the employee’s turnover,
and the survey represents the level of satisfaction of the
employees. This data collection was related to how we are
planning to analyze and use the information gathered from all
sources and observations.
Levels of measurement
Ballard Integrated Managed services Inc. recently decided to
conduct a survey of its employees to determine the main cause
of the high turnover rate. The company has four main divisions
where they have allocated their employees, depending on their
qualification levels; these include housekeeping, food service,
general cleaning and physical plant maintenance. The divisions
in the company are the variables used in the case study to
determine the real cause of turnover rate.
Evaluating the levels of measurements used by these
variables depend on the description of the division. The
housekeeping division entails providing conducive rooms and
environment for the patients thus the extent of the service
rendered can be quantified as an interval level of measurement.
This is where the services to the patients can be ordered
although no distinction can be made. The food service division
is responsible for the provision of daily meals which can be
properly measured by the ratio level of measurement. In terms
of the number of times the food is offered and the ratio of the
food given to the patients.
General cleaning division, on the other hand, refreshes
hospital rooms, replaces towels, linens changing and performs
bathrooms sanitization. These activities can be well described
by the ratio level of measurements. If the cleaning is not done
or changing of towels and linens, the worker would have done
zero job; thus general cleaning division falls under ratio level of
measurement. Activities in the physical plant maintenance

4. include repairing equipment and replacing them, cleaning other
areas not handled by the employees in other divisions. This
division falls under the ordinal level of measurement in that the
various activities can be ordered although the extent of one
equipment failure to another cannot be quantified. Ballard
Integrated Managed Services Inc. can be well categorized in
terms of the four measurement levels in order to determine
where to categorize each division.
Code and clean the data
“The method used was the Likers Scaling, which is a one-
dimensional scaling procedure. Where at first the definition of
what is trying to measure is established.” ("Likers
Scaling", 2006). First we must know what is affecting the
morale of the employees that is causing the increase in the
workers turnover. The average turnover rate is from 55% to
60%, but BIMS is experimenting 64% or 4% over the rate.
The next step is to set the scale of the items that scale goes
running from one to five where five said is highly positive, and
1 said is negative. The questions asked the workers about their
point of view of their work environments, hour’s period,
training quality, compensation, supervisors’ treatment, internal
communication, and security on the job. The design of the
survey is to apply numerical values that represent levels of
satisfactions of the employees about specific questions. This
goes to help BIMS to identify the reasons for the increase
employee’s turnover and performance decrease ("Coding Data
from the Instrument", 2013). .
To clean the data, the inputs errors has to be fixed. The first
error to be eliminated is the zero on the total of answered
questions because the scale was from one to five. Those code
zero answers cannot be counted on the total of the
questionnaires received. The second error to be corrected is the
answers with the code number six instead of five. The offices
support staff typed an error by changing some of the codes five
by the code six. This must be corrected to show the correct
code. The results can only show codes from one to five. As

5. soon as the data is coded and cleaned it can be analyzed and
reviewed in many different ways. A spreadsheet from Excel is
created to produce the information to compute the mean,
median, and mode values for the respective questions.
Conclusion
The Merriam-Webster dictionary defines conclusion as; “a final
decision or judgment: an opinion or decision that is formed
after a period of thought or research” ("Conclusion / Definition
of Conclusion by Merriam-Webster", 2015).
We draw conclusions every day about incidents we witness, the
information we gather or about what we read. What is the
source where this information is coming from? Is it fact or
fiction?
It is easier to draw a conclusion from non-fiction sources.
These facts are presented and backed up by the specific data
that was collected from the BIMS Employee Survey.
The lesson learned here was; how get data from the BIMS
Employee Survey of which will provide us with factual
information. This information comes directly from the source
(the employees) which will give us a quantitative identification
that will provide a better understanding of the employee’s
morale status.
Being able to collect, identify the data as quantitative, identify
the levels of measurement of each of the variables, code and
clean the data collect is what will provide us to reach the new
information needed. This new information will reveal a better
understanding of the turnover rate of each division and how to
evaluate the employees’ morale status.

6. References
Foster, J. J. (2006). Understanding and using advanced
statistics. London: SAGE Publications.
Morris, A. S. (2001). Measurement and instrumentation
principles. Oxford[England: Butterworth-Heinemann.
Likers Scaling. (2006). Retrieved from
http://www.socialresearchmethods.
Coding Data from the Instrument. (2013). Retrieved from
http://korbedpsych.com
McClave, J., Benson, P.G., & Sincich, T. (2014). Statistics for
Business Economics (11th ed.). Retrieved from The University
of Phoenix eBook
Conclusion / Definition of conclusion by Merriam-
Webster. (2015). Retrieved from http://www.merriam-
webster.com/dictionary/conclusion.
Sheet1No.1. How well do you enjoy working for BIMS?1.
You enjoy your assigned shift.1. Your request for your
desired shift was fulfilled.1. How many times have you
called in sick in the last month?1. You are well trained for
your work.1. You are paid fairly for the work you do.Your
supervisor treats you fairly1. Your supervisor’s boss treats
your division fairly.1. The company is good at
communicating.1. You do not fear that you will lose your
job.A. In which division do you work?A. How long have
you worked for BIMS?A. What is your gender?Are you a
manager or

7. supervisor?4722552312221328224613124123242277122435124
21324225122124513323332121622533321423424220912362245
51421511571229122412442111391261222242133421192234245
12331222116221955352132321108149442252331197122332135
44225296125422523421231962275445512442129021252122131
24138711105132221411183222024213235332822231215511111
27612353242315133173213951312322322692241451331123267
22772112542112163127322125221351611243225113222116022
18432412114258224512351442525722485133125531257227121
55144212571250231133221325422621351132221153226525433
21211521272352143552424922302232412414147276552142553
53471242242211331244122141554352131432213415133233722
28134453153523622813225245322282132243313331271115322
44553432722651332243522223126343242251222222111543313
32212211160351334214319126935133221321922703244221223
18125112442211223172254451413324216121633415224452162
29331442222431521265453122221115122221422154314131532
22432422142237232442453421422404212231221142164423551
24351142225555535525112125734133222332122274144211232
11122781235211214210223215233222131922682422213542291
27145325421182244314422514218212742152253322722334431
22231237125952421343112722662221313213172252553411443
11622564422523535262214145513421251255113521521215216
75135322123152217132123412214125821432213221422425332
4513423213831224124241212
FoodNo.1.How well do you enjoy working for BIMS?1. You
enjoy your assigned shift.1. Your request for your desired
shift was fulfilled.1. How many times have you called in sick
in the last month?1. You are well trained for your work.1.
You are paid fairly for the work you do.Your supervisor treats
you fairly1. Your supervisor’s boss treats your division
fairly.1. The company is good at communicating.1. You do
not fear that you will lose your job.A. In which division do
you work?A. How long have you worked for BIMS?A. What
is your gender?Are you a manager or
supervisor?2555553552511212652543321211521271453254211

8. 82210513222141118322124513323332121622132243313331271
11713212341221412195535213232110812141554352131432226
54531222211151229122412442111391230223241241414723215
23322213192235324231513317321362245514215115712383122
41242412124042122312211421432251132221160224431442251
42182147225523122213282249442252331197125255341144311
62254225234212319622551135215212152158214322132214226
21351132221153226442355124351142266222131321317226751
35322123152273221252213516112741442112321112277211254
211216312Average2.902.393.283.232.882.062.812.382.032.481.
0057.091.651.81No.1. How well do you enjoy working for
BIMS?1. You enjoy your assigned shift.1. Your request for
your desired shift was fulfilled.1. How many times have you
called in sick in the last month?1. You are well trained for
your work.1. You are paid fairly for the work you do.Your
supervisor treats you
fairlyMean39.3Mean2.90Mean2.39Mean3.28Mean3.23Mean2.88
Mean2.06Mean2.81Standard Error3.9Standard
Error0.27Standard Error0.25Standard Error0.24Standard
Error0.27Standard Error0.24Standard Error0.16Standard
Error0.24Median39.0Median2.00Median2.00Median3.00Median
3.00Median3.00Median2.00Median2.00ModeERROR:#N/AMod
e2.00Mode2.00Mode5.00Mode5.00Mode3.00Mode2.00Mode2.0
0Standard Deviation22.0Standard Deviation1.49Standard
Deviation1.41Standard Deviation1.37Standard
Deviation1.48Standard Deviation1.34Standard
Deviation0.91Standard Deviation1.38Sample
Variance486.0Sample Variance2.22Sample Variance1.98Sample
Variance1.89Sample Variance2.19Sample Variance1.79Sample
Variance0.83Sample Variance1.90Kurtosis-1.1Kurtosis-
1.45Kurtosis-0.41Kurtosis-1.15Kurtosis-1.49Kurtosis-
0.94Kurtosis-0.67Kurtosis-
1.09Skewness0.0Skewness0.24Skewness0.94Skewness-
0.23Skewness-
0.09Skewness0.33Skewness0.41Skewness0.44Range75.0Range4
.00Range4.00Range4.00Range4.00Range4.00Range3.00Range4.

9. 00Minimum2.0Minimum1.00Minimum1.00Minimum1.00Minim
um1.00Minimum1.00Minimum1.00Minimum1.00Maximum77.0
Maximum5.00Maximum5.00Maximum5.00Maximum5.00Maxim
um5.00Maximum4.00Maximum5.00Sum1258.0Sum90.00Sum74.
00Sum105.00Sum97.00Sum92.00Sum66.00Sum90.00Count32.0
Count31.00Count31.00Count32.00Count30.00Count32.00Count
32.00Count32.001. Your supervisor’s boss treats your
division fairly.1. The company is good at
communicating.1. You do not fear that you will lose your
job.A. In which division do you work?A. How long have
you worked for BIMS?A. What is your gender?Are you a
manager or
supervisor?Mean2.38Mean2.03Mean2.48Mean1.00Mean57.09M
ean1.65Mean1.81Standard Error0.21Standard Error0.15Standard
Error0.24Standard Error0.00Standard Error12.67Standard
Error0.09Standard
Error0.07Median2.00Median2.00Median2.00Median1.00Median
35.00Median2.00Median2.00Mode2.00Mode2.00Mode2.00Mode
1.00Mode8.00Mode2.00Mode2.00Standard
Deviation1.21Standard Deviation0.82Standard
Deviation1.31Standard Deviation0.00Standard
Deviation71.68Standard Deviation0.49Standard
Deviation0.40Sample Variance1.47Sample Variance0.68Sample
Variance1.72Sample Variance0.00Sample
Variance5137.38Sample Variance0.24Sample
Variance0.16Kurtosis-0.96Kurtosis-0.55Kurtosis-
0.44KurtosisERROR:#DIV/0!Kurtosis5.99Kurtosis-
1.71Kurtosis0.70Skewness0.49Skewness0.31Skewness0.70Skew
nessERROR:#DIV/0!Skewness2.23Skewness-0.64Skewness-
1.63Range4.00Range3.00Range4.00Range0.00Range326.00Rang
e1.00Range1.00Minimum1.00Minimum1.00Minimum1.00Minim
um1.00Minimum2.00Minimum1.00Minimum1.00Maximum5.00
Maximum4.00Maximum5.00Maximum1.00Maximum328.00Max
imum2.00Maximum2.00Sum76.00Sum65.00Sum77.00Sum32.00
Sum1827.00Sum51.00Sum56.00Count32.00Count32.00Count31.
00Count32.00Count32.00Count31.00Count31.00

10. HousekeepingNo.1.How well do you enjoy working for
BIMS?1.You enjoy your assigned shift.1.Your request for your
desired shift was fulfilled.1.How many times have you called in
sick in the last month?1.You are well trained for your
work.1.You are paid fairly for the work you do.Your supervisor
treats you fairly1.Your supervisor’s boss treats your division
fairly.1.The company is good at communicating.1.You do not
fear that you will lose your job.A.In which division do you
work?A.How long have you worked for BIMS?A.What is your
gender?Are you a manager or
supervisor?3121551111127612425332451342321544514133242
16128132252453222821154331332212211114145513421251216
33415224452162218432412114258222024213235332822223321
35442252961224351242132422512227421522533227222813445
31535236223153222432422142234245123312221162237232442
45342142239513123223226922414513311232672242242211331
24412451235144252572246131241232422771248513312553125
72250231133221325422533321423424220912564422523535262
25734133222332122259524213431127226122224213342119226
34324225122222216513322435222231268242221354229126935
13322132192271215514421257127235214355242492275445512
44212902178123521121421022Average2.783.242.532.662.972.
262.923.152.332.892.0058.221.691.89Average2.783.242.532.66
2.972.262.923.152.332.892.0058.221.691.89Descriptive
statistics1.How well do you enjoy working for BIMS? 1.You
enjoy your assigned shift. 1.Your request for your desired shift
was fulfilled. 1.How many times have you called in sick in the
last month? 1.You are well trained for your work. 1.You are
paid fairly for the work you do. Your supervisor treats you
fairly 1.Your supervisor’s boss treats your division fairly. 1.The
company is good at communicating. 1.You do not fear that you
will lose your job. A.In which division do you work? A.How
long have you worked for BIMS? A.What is your gender? Are
you a manager or supervisor? count36 34 36 35 36 34 36 34 36
36 36 36 35 36 mean2.78 3.24 2.53 2.66 2.97 2.26 2.92 3.15
2.33 2.89 2.00 58.22 1.69 1.89 sample standard deviation1.38

11. 1.18 1.34 1.39 1.44 0.96 1.34 1.44 0.86 1.41 0.00 66.27 0.47
0.32 sample variance1.89 1.40 1.80 1.94 2.08 0.93 1.79 2.07
0.74 1.99 0.00 4,391.89 0.22 0.10
minimum1.01.01.01.01.01.01.01.01.01.02.03.01.01.0maximum5.
05.05.05.05.04.05.05.04.05.02.0277.02.02.0range4.04.04.04.04.
03.04.04.03.04.00.0274.01.01.0median3.00 3.00 2.00 2.00 3.00
2.00 3.00 3.00 2.00 3.00 2.00 40.00 2.00 2.00 mode2.00 4.00
2.00 2.00 2.00 2.00 3.00 5.00 2.00 4.00 2.00 57.00 2.00 2.00
MaintenanceNo.1. How well do you enjoy working for
BIMS?1.You enjoy your assigned shift.1. Your request for your
desired shift was fulfilled.1. How many times have you called
in sick in the last month?1.You are well trained for your
work.1.You are paid fairly for the work you do.Your supervisor
treats you fairly1. Your supervisor’s boss treats your division
fairly.1.The company is good at communicating.1.You do not
fear that you will lose your job.A. In which division do you
work?A.How long have you worked for BIMS?A.What is your
gender?Are you a manager or
supervisor?1341513323372293314422224315211532244553432
72225212213124138711334431222312371251124422112231722
6035133421431912703244221223181276552142553534712Aver
age3.003.112.382.673.002.132.672.862.332.893.0030.441.441.7
8No.1. How well do you enjoy working for BIMS?1. You
enjoy your assigned shift.1. Your request for your desired
shift was fulfilled.1. How many times have you called in sick
in the last month?1. You are well trained for your work.1.
You are paid fairly for the work you do.Your supervisor treats
you
fairlyMean37.78Mean3.00Mean3.11Mean2.38Mean2.67Mean3.0
0Mean2.13Mean2.67Standard Error9.17Standard
Error0.37Standard Error0.48Standard Error0.42Standard
Error0.47Standard Error0.50Standard Error0.23Standard
Error0.55Median33.00Median3.00Median3.00Median2.00Media
n3.00Median3.00Median2.00Median2.00ModeERROR:#N/AMo
de3.00Mode2.00Mode2.00Mode4.00Mode4.00Mode2.00Mode1.
00Standard Deviation27.51Standard Deviation1.12Standard

12. Deviation1.45Standard Deviation1.19Standard
Deviation1.41Standard Deviation1.41Standard
Deviation0.64Standard Deviation1.66Sample
Variance756.69Sample Variance1.25Sample
Variance2.11Sample Variance1.41Sample Variance2.00Sample
Variance2.00Sample Variance0.41Sample
Variance2.75Kurtosis-1.62Kurtosis1.26Kurtosis-1.50Kurtosis-
1.23Kurtosis-2.16Kurtosis-1.64Kurtosis0.74Kurtosis-
1.53Skewness0.12Skewness0.00Skewness0.07Skewness0.39Ske
wness-0.27Skewness-0.00Skewness-
0.07Skewness0.47Range75.00Range4.00Range4.00Range3.00Ra
nge3.00Range4.00Range2.00Range4.00Minimum1.00Minimum1
.00Minimum1.00Minimum1.00Minimum1.00Minimum1.00Mini
mum1.00Minimum1.00Maximum76.00Maximum5.00Maximum5
.00Maximum4.00Maximum4.00Maximum5.00Maximum3.00Max
imum5.00Sum340.00Sum27.00Sum28.00Sum19.00Sum24.00Su
m24.00Sum17.00Sum24.00Count9.00Count9.00Count9.00Count
8.00Count9.00Count8.00Count8.00Count9.001. Your
supervisor’s boss treats your division fairly.1. The company
is good at communicating.1. You do not fear that you will
lose your job.A. In which division do you work?A. How
long have you worked for BIMS?A. What is your gender?Are
you a manager or
supervisor?Mean2.86Mean2.33Mean2.89Mean3.00Mean30.44M
ean1.44Mean1.78Standard Error0.59Standard Error0.33Standard
Error0.45Standard Error0.00Standard Error8.15Standard
Error0.18Standard
Error0.15Median2.00Median2.00Median2.00Median3.00Median
19.00Median1.00Median2.00Mode2.00Mode3.00Mode2.00Mode
3.00ModeERROR:#N/AMode1.00Mode2.00Standard
Deviation1.57Standard Deviation1.00Standard
Deviation1.36Standard Deviation0.00Standard
Deviation24.45Standard Deviation0.53Standard
Deviation0.44Sample Variance2.48Sample Variance1.00Sample
Variance1.86Sample Variance0.00Sample
Variance597.78Sample Variance0.28Sample

13. Variance0.19Kurtosis-1.16Kurtosis-0.64Kurtosis-
1.50KurtosisERROR:#DIV/0!Kurtosis3.48Kurtosis-
2.57Kurtosis0.73Skewness0.68Skewness0.11Skewness0.25Skew
nessERROR:#DIV/0!Skewness1.80Skewness0.27Skewness-
1.62Range4.00Range3.00Range4.00Range0.00Range80.00Range
1.00Range1.00Minimum1.00Minimum1.00Minimum1.00Minimu
m3.00Minimum7.00Minimum1.00Minimum1.00Maximum5.00M
aximum4.00Maximum5.00Maximum3.00Maximum87.00Maximu
m2.00Maximum2.00Sum20.00Sum21.00Sum26.00Sum27.00Sum
274.00Sum13.00Sum16.00Count7.00Count9.00Count9.00Count
9.00Count9.00Count9.00Count9.00
FemaleNo.1.How well do you enjoy working for BIMS?1.You
enjoy your assigned shift.1.Your request for your desired shift
was fulfilled.1.How many times have you called in sick in the
last month?1.You are well trained for your work.1.You are paid
fairly for the work you do.Your supervisor treats you
fairly1.Your supervisor’s boss treats your division fairly.1.The
company is good at communicating.1.You do not fear that you
will lose your job.A.In which division do you work?A.How long
have you worked for BIMS?A.What is your gender?Are you a
manager or
supervisor?2555553552511212312155111112761254451413324
21612652543321211521211543313322122111132243313331271
11414551342125121713212341221412222142215431412332135
44225296122521221312413871126545312222111512291224124
42111391233443122231237123622455142151157123831224124
24121242242211331244124613124123242277124944225233119
71253332142342422091260351334214319126513322435222231
26824222135422912703244221223181271215514421257127322
12522135161127655214255353471277211254211216312Averag
e
2.712.862.822.742.962.272.862.882.112.651.7859.071.001.89N
o.1. How well do you enjoy working for BIMS?1. You
enjoy your assigned shift.1. Your request for your desired
shift was fulfilled.1. How many times have you called in sick
in the last month?1. You are well trained for your work.1.

14. You are paid fairly for the work you do.Your supervisor treats
you
fairlyMean37.61Mean2.71Mean2.86Mean2.82Mean2.74Mean2.9
6Mean2.27Mean2.86Standard Error4.71Standard
Error0.27Standard Error0.25Standard Error0.28Standard
Error0.27Standard Error0.31Standard Error0.20Standard
Error0.25Median34.50Median2.00Median3.00Median2.00Media
n2.00Median3.00Median2.00Median3.00ModeERROR:#N/AMo
de2.00Mode2.00Mode2.00Mode2.00Mode5.00Mode3.00Mode2.
00Standard Deviation24.90Standard Deviation1.41Standard
Deviation1.33Standard Deviation1.49Standard
Deviation1.40Standard Deviation1.60Standard
Deviation1.00Standard Deviation1.30Sample
Variance620.25Sample Variance1.99Sample
Variance1.76Sample Variance2.23Sample Variance1.97Sample
Variance2.58Sample Variance1.00Sample
Variance1.68Kurtosis-1.33Kurtosis-1.04Kurtosis-1.25Kurtosis-
1.38Kurtosis-1.04Kurtosis-1.66Kurtosis-1.01Kurtosis-
1.10Skewness0.20Skewness0.46Skewness0.08Skewness0.33Ske
wness0.50Skewness0.06Skewness0.18Skewness0.06Range75.00
Range4.00Range4.00Range4.00Range4.00Range4.00Range3.00
Range4.00Minimum2.00Minimum1.00Minimum1.00Minimum1.
00Minimum1.00Minimum1.00Minimum1.00Minimum1.00Maxi
mum77.00Maximum5.00Maximum5.00Maximum5.00Maximum5
.00Maximum5.00Maximum4.00Maximum5.00Sum1053.00Sum7
6.00Sum80.00Sum79.00Sum74.00Sum80.00Sum59.00Sum80.00
Count28.00Count28.00Count28.00Count28.00Count27.00Count
27.00Count26.00Count28.001. Your supervisor’s boss treats
your division fairly.1. The company is good at
communicating.1. You do not fear that you will lose your
job.A. In which division do you work?A. How long have
you worked for BIMS?A. What is your gender?Are you a
manager or
supervisor?Mean2.88Mean2.11Mean2.65Mean1.78Mean59.07M
ean1.00Mean1.89Standard Error0.27Standard Error0.16Standard
Error0.31Standard Error0.14Standard Error12.59Standard

15. Error0.00Standard
Error0.06Median3.00Median2.00Median2.00Median2.00Median
35.50Median1.00Median2.00Mode3.00Mode2.00Mode1.00Mode
1.00ModeERROR:#N/AMode1.00Mode2.00Standard
Deviation1.37Standard Deviation0.83Standard
Deviation1.60Standard Deviation0.75Standard
Deviation66.61Standard Deviation0.00Standard
Deviation0.32Sample Variance1.87Sample Variance0.69Sample
Variance2.56Sample Variance0.56Sample
Variance4437.55Sample Variance0.00Sample
Variance0.10Kurtosis-1.14Kurtosis0.30Kurtosis-1.56Kurtosis-
1.06Kurtosis3.61KurtosisERROR:#DIV/0!Kurtosis5.26Skewnes
s0.12Skewness0.62Skewness0.37Skewness0.40Skewness1.87Sk
ewnessERROR:#DIV/0!Skewness-
2.62Range4.00Range3.00Range4.00Range2.00Range275.00Rang
e0.00Range1.00Minimum1.00Minimum1.00Minimum1.00Minim
um1.00Minimum2.00Minimum1.00Minimum1.00Maximum5.00
Maximum4.00Maximum5.00Maximum3.00Maximum277.00Max
imum1.00Maximum2.00Sum75.00Sum59.00Sum69.00Sum48.00
Sum1654.00Sum28.00Sum51.00Count26.00Count28.00Count26.
00Count27.00Count28.00Count28.00Count27.00
MaleNo.1.How well do you enjoy working for BIMS?1. You
enjoy your assigned shift.1.Your request for your desired shift
was fulfilled.1.How many times have you called in sick in the
last month?1.You are well trained for your work.1.You are paid
fairly for the work you do.Your supervisor treats you
fairly1.Your supervisor’s boss treats your division fairly.1.The
company is good at communicating.1.You do not fear that you
will lose your job.A.In which division do you work?A.How long
have you worked for BIMS?A.What is your gender?Are you a
manager or
supervisor?1341513323372242533245134232171453254211822
93314422224315211051322214111832212451332333212162215
32244553432722163341522445216221843241211425822202421
32353328222214155435213143222435124213242251222742152
25332272228134453153523622302232412414147231532224324

16. 22142232152332221319223424512331222116223532423151331
73213723244245342142239513123223226922404212231221142
14145133112326722432251132221160224431442251421821451
23514425257224722552312221328224851331255312572250231
13322132542251124422112231722525534114431162254225234
21231962255113521521215215644225235352622573413322233
21222582143221322142259524213431127226122224213342119
22621351132221153226343242251222222164423551243511422
66222131321317226751353221231522693513322132192272352
14355242492274144211232111227544551244212902178123521
121421022Average2.912.782.872.932.882.112.852.722.252.791.
6750.442.001.83No.1.How well do you enjoy working for
BIMS?1.You enjoy your assigned shift.1.Your request for your
desired shift was fulfilled.1.How many times have you called in
sick in the last month?1.You are well trained for your
work.1.You are paid fairly for the work you do.Your supervisor
treats you
fairlyMean41.69Mean2.91Mean2.78Mean2.87Mean2.93Mean2.8
8Mean2.11Mean2.85Standard Error3.05Standard
Error0.19Standard Error0.21Standard Error0.20Standard
Error0.21Standard Error0.18Standard Error0.13Standard
Error0.21Median43.50Median3.00Median2.00Median3.00Media
n3.00Median3.00Median2.00Median2.50ModeERROR:#N/AMo
de2.00Mode2.00Mode3.00Mode1.00Mode2.00Mode2.00Mode2.
00Standard Deviation21.16Standard Deviation1.33Standard
Deviation1.40Standard Deviation1.35Standard
Deviation1.45Standard Deviation1.23Standard
Deviation0.87Standard Deviation1.47Sample
Variance447.88Sample Variance1.78Sample
Variance1.95Sample Variance1.81Sample Variance2.11Sample
Variance1.52Sample Variance0.75Sample
Variance2.17Kurtosis-0.99Kurtosis-1.15Kurtosis-1.14Kurtosis-
1.13Kurtosis-1.36Kurtosis-0.89Kurtosis-0.40Kurtosis-
1.31Skewness-
0.19Skewness0.10Skewness0.36Skewness0.13Skewness0.07Ske
wness0.25Skewness0.42Skewness0.30Range77.00Range4.00Ran

17. ge4.00Range4.00Range4.00Range4.00Range3.00Range4.00Mini
mum1.00Minimum1.00Minimum1.00Minimum1.00Minimum1.0
0Minimum1.00Minimum1.00Minimum1.00Maximum78.00Maxi
mum5.00Maximum5.00Maximum5.00Maximum5.00Maximum5.
00Maximum4.00Maximum5.00Sum2001.00Sum137.00Sum125.0
0Sum135.00Sum135.00Sum138.00Sum99.00Sum137.00Count48
.00Count47.00Count45.00Count47.00Count46.00Count48.00Co
unt47.00Count48.001.Your supervisor’s boss treats your
division fairly.1.The company is good at communicating.1.You
do not fear that you will lose your job.A. In which division do
you work?A.How long have you worked for BIMS?A.What is
your gender?Are you a manager or
supervisor?Mean2.72Mean2.25Mean2.79Mean1.67Mean50.44M
ean2Mean1.83Standard Error0.21Standard Error0.13Standard
Error0.18Standard Error0.09Standard Error9.43Standard
Error0Standard
Error0.06Median2.00Median2.00Median3.00Median2.00Median
24.50Median2Median2.00Mode2.00Mode3.00Mode2.00Mode2.0
0Mode14.00Mode2Mode2.00Standard Deviation1.39Standard
Deviation0.89Standard Deviation1.25Standard
Deviation0.63Standard Deviation65.32Standard
Deviation0Standard Deviation0.38Sample Variance1.94Sample
Variance0.79Sample Variance1.57Sample Variance0.40Sample
Variance4267.32Sample Variance0Sample
Variance0.14Kurtosis-1.17Kurtosis-0.84Kurtosis-0.97Kurtosis-
0.61Kurtosis7.98KurtosisERROR:#DIV/0!Kurtosis1.34Skewnes
s0.38Skewness0.05Skewness0.21Skewness0.39Skewness2.65Sk
ewnessERROR:#DIV/0!Skewness-
1.81Range4.00Range3.00Range4.00Range2.00Range325.00Rang
e0Range1.00Minimum1.00Minimum1.00Minimum1.00Minimum
1.00Minimum3.00Minimum2Minimum1.00Maximum5.00Maxim
um4.00Maximum5.00Maximum3.00Maximum328.00Maximum2
Maximum2.00Sum125.00Sum108.00Sum134.00Sum80.00Sum24
21.00Sum96Sum86.00Count46.00Count48.00Count48.00Count4
8.00Count48.00Count48Count47.00
ManagersNo.1.How well do you enjoy working for BIMS?1.You

18. enjoy your assigned shift.1.Your request for your desired shift
was fulfilled.1.How many times have you called in sick in the
last month?1.You are well trained for your work.1.You are paid
fairly for the work you do.Your supervisor treats you
fairly1.Your supervisor’s boss treats your division fairly.1.The
company is good at communicating.1. You do not fear that you
will lose your job.A.In which division do you work?A.How long
have you worked for BIMS?A.What is your gender?Are you a
manager or
supervisor?4253324513423219331442222431521115433133221
22111132243313331271119553521323211081252122131241387
11353242315133173214042122312211421443144225142182155
113521521215216343242251222222175445512442129021Avera
ge3.172.752.923.702.082.173.501.832.582.251.6739.421.731.00
No.1.How well do you enjoy working for BIMS?1.You enjoy
your assigned shift.1.Your request for your desired shift was
fulfilled.1.How many times have you called in sick in the last
month?1.You are well trained for your work.1.You are paid
fairly for the work you do.Your supervisor treats you
fairlyMean32.8Mean3.17Mean2.75Mean2.92Mean3.70Mean2.08
Mean2.17Mean3.50Standard Error6.7Standard
Error0.37Standard Error0.43Standard Error0.36Standard
Error0.37Standard Error0.26Standard Error0.27Standard
Error0.45Median30.0Median3.00Median2.50Median3.00Median
4.00Median2.00Median2.00Median3.50ModeERROR:#N/AMod
e2.00Mode2.00Mode3.00Mode4.00Mode2.00Mode2.00Mode5.0
0Standard Deviation23.1Standard Deviation1.27Standard
Deviation1.48Standard Deviation1.24Standard
Deviation1.16Standard Deviation0.90Standard
Deviation0.94Standard Deviation1.57Sample
Variance534.8Sample Variance1.61Sample Variance2.20Sample
Variance1.54Sample Variance1.34Sample Variance0.81Sample
Variance0.88Sample Variance2.45Kurtosis-0.9Kurtosis-
0.88Kurtosis-1.27Kurtosis-0.61Kurtosis-
1.23Kurtosis0.53Kurtosis-0.30Kurtosis-
1.19Skewness0.5Skewness-0.05Skewness0.31Skewness-

19. 0.16Skewness-0.34Skewness0.71Skewness0.41Skewness-
0.51Range71.0Range4.00Range4.00Range4.00Range3.00Range3
.00Range3.00Range4.00Minimum4.0Minimum1.00Minimum1.0
0Minimum1.00Minimum2.00Minimum1.00Minimum1.00Minim
um1.00Maximum75.0Maximum5.00Maximum5.00Maximum5.00
Maximum5.00Maximum4.00Maximum4.00Maximum5.00Sum39
3.0Sum38.00Sum33.00Sum35.00Sum37.00Sum25.00Sum26.00S
um42.00Count12.0Count12.00Count12.00Count12.00Count10.0
0Count12.00Count12.00Count12.001.Your supervisor’s boss
treats your division fairly.1.The company is good at
communicating.1.You do not fear that you will lose your
job.A.In which division do you work?A.How long have you
worked for BIMS?A.What is your gender?Are you a manager or
supervisor?Mean1.83Mean2.58Mean2.25Mean1.67Mean39.42M
ean1.73Mean1Standard Error0.27Standard Error0.26Standard
Error0.30Standard Error0.22Standard Error11.08Standard
Error0.14Standard
Error0Median2.00Median2.50Median2.00Median1.50Median21.
50Median2.00Median1Mode1.00Mode2.00Mode2.00Mode1.00M
odeERROR:#N/AMode2.00Mode1Standard
Deviation0.94Standard Deviation0.90Standard
Deviation1.06Standard Deviation0.78Standard
Deviation38.37Standard Deviation0.47Standard
Deviation0Sample Variance0.88Sample Variance0.81Sample
Variance1.11Sample Variance0.61Sample
Variance1471.90Sample Variance0.22Sample
Variance0Kurtosis1.33Kurtosis-0.43Kurtosis-0.64Kurtosis-
0.79Kurtosis-1.11Kurtosis-
0.76KurtosisERROR:#DIV/0!Skewness1.18Skewness0.15Skewn
ess0.52Skewness0.72Skewness0.84Skewness-
1.19SkewnessERROR:#DIV/0!Range3.00Range3.00Range3.00R
ange2.00Range105.00Range1.00Range0Minimum1.00Minimum1
.00Minimum1.00Minimum1.00Minimum3.00Minimum1.00Mini
mum1Maximum4.00Maximum4.00Maximum4.00Maximum3.00
Maximum108.00Maximum2.00Maximum1Sum22.00Sum31.00Su
m27.00Sum20.00Sum473.00Sum19.00Sum12Count12.00Count1

20. 2.00Count12.00Count12.00Count12.00Count11.00Count12
Non-ManagerNo.1.How well do you enjoy working for
BIMS?1.You enjoy your assigned shift.1.Your request for your
desired shift was fulfilled.1.How many times have you called in
sick in the last month?1.You are well trained for your
work.1.You are paid fairly for the work you do.Your supervisor
treats you fairly1. Your supervisor’s boss treats your division
fairly.1.The company is good at communicating.1.You do not
fear that you will lose your job.A.In which division do you
work?A.How long have you worked for BIMS?A.What is your
gender?Are you a manager or
supervisor?1341513323372225555535525112123121551111127
61254451413324216126525433212115212714532542118228132
25245322282105132221411183221245133233321216221414551
34212512153224455343272216334152244521622171321234122
14121843241211425822202421323533282222141554352131432
22332135442252961224351242132422512226545312222111512
27421522533227222813445315352362229122412442111391231
53222432422142232152332221319223344312223123712342451
23312221162236224551421511571237232442453421422383122
41242412123951312322322692241451331123267224224221133
12441243225113222116022451235144252572246131241232422
77124722552312221328224851331255312572249442252331197
12502311332213254225112442211223172252553411443116225
33321423424220912542252342123196225644225235352622573
41332223321222582143221322142259524213431127226035133
42143191261222242133421192262135113222115322644235512
43511422651332243522223126622213132131722675135322123
15226824222135422912693513322132192270324422122318127
12155144212571272352143552424922732212522135161127414
42112321112276552142553534712772112542112163127812352
1121421022Average2.812.902.812.783.082.182.732.952.162.79
1.7257.451.622.00No.1. How well do you enjoy working for
BIMS?1. You enjoy your assigned shift.1. Your request for
your desired shift was fulfilled.1. How many times have you
called in sick in the last month?1. You are well trained for

21. your work.1. You are paid fairly for the work you
do.Mean41.19Mean2.81Mean2.90Mean2.81Mean2.78Mean3.08
Mean2.18Standard Error2.84Standard Error0.18Standard
Error0.17Standard Error0.18Standard Error0.18Standard
Error0.18Standard
Error0.12Median42.50Median3.00Median3.00Median2.00Media
n2.00Median3.00Median2.00ModeERROR:#N/AMode2.00Mode
2.00Mode2.00Mode2.00Mode2.00Mode2.00Standard
Deviation22.72Standard Deviation1.41Standard
Deviation1.35Standard Deviation1.42Standard
Deviation1.45Standard Deviation1.41Standard
Deviation0.90Sample Variance516.38Sample
Variance2.00Sample Variance1.82Sample Variance2.03Sample
Variance2.11Sample Variance1.98Sample
Variance0.82Kurtosis-1.17Kurtosis-1.23Kurtosis-1.19Kurtosis-
1.24Kurtosis-1.28Kurtosis-1.30Kurtosis-0.64Skewness-
0.13Skewness0.24Skewness0.18Skewness0.31Skewness0.30Ske
wness-
0.00Skewness0.33Range77.00Range4.00Range4.00Range4.00Ra
nge4.00Range4.00Range3.00Minimum1.00Minimum1.00Minimu
m1.00Minimum1.00Minimum1.00Minimum1.00Minimum1.00M
aximum78.00Maximum5.00Maximum5.00Maximum5.00Maximu
m5.00Maximum5.00Maximum4.00Sum2636.00Sum177.00Sum1
77.00Sum177.00Sum175.00Sum194.00Sum133.00Count64.00Co
unt63.00Count61.00Count63.00Count63.00Count63.00Count61.
00Your supervisor treats you fairly1. Your supervisor’s boss
treats your division fairly.1. The company is good at
communicating.1. You do not fear that you will lose your
job.A. In which division do you work?A. How long have
you worked for BIMS?A. What is your gender?Are you a
manager or
supervisor?Mean2.73Mean2.95Mean2.16Mean2.79Mean1.72Me
an57.45Mean1.62Mean2.00Standard Error0.17Standard
Error0.18Standard Error0.10Standard Error0.18Standard
Error0.08Standard Error8.69Standard Error0.06Standard
Error0.00Median2.50Median3.00Median2.00Median3.00Median

22. 2.00Median36.50Median2.00Median2.00Mode2.00Mode2.00Mo
de2.00Mode2.00Mode2.00Mode7.00Mode2.00Mode2.00Standar
d Deviation1.32Standard Deviation1.40Standard
Deviation0.84Standard Deviation1.40Standard
Deviation0.65Standard Deviation69.48Standard
Deviation0.49Standard Deviation0.00Sample
Variance1.75Sample Variance1.95Sample Variance0.71Sample
Variance1.97Sample Variance0.43Sample
Variance4827.68Sample Variance0.24Sample
Variance0.00Kurtosis-1.08Kurtosis-1.26Kurtosis-0.65Kurtosis-
1.26Kurtosis-0.69Kurtosis4.77Kurtosis-
1.81KurtosisERROR:#DIV/0!Skewness0.30Skewness0.17Skewn
ess0.19Skewness0.24Skewness0.36Skewness2.16Skewness-
0.50SkewnessERROR:#DIV/0!Range4.00Range4.00Range3.00R
ange4.00Range2.00Range326.00Range1.00Range0.00Minimum1
.00Minimum1.00Minimum1.00Minimum1.00Minimum1.00Mini
mum2.00Minimum1.00Minimum2.00Maximum5.00Maximum5.0
0Maximum4.00Maximum5.00Maximum3.00Maximum328.00Ma
ximum2.00Maximum2.00Sum175.00Sum177.00Sum138.00Sum1
76.00Sum110.00Sum3677.00Sum102.00Sum128.00Count64.00C
ount60.00Count64.00Count63.00Count64.00Count64.00Count63
.00Count64.00
>10 yearsNo.1. How well do you enjoy working for
BIMS?1.You enjoy your assigned shift.1.Your request for your
desired shift was fulfilled.1.How many times have you called in
sick in the last month?1.You are well trained for your
work.1.You are paid fairly for the work you do.Your supervisor
treats you fairly1.Your supervisor’s boss treats your division
fairly.1.The company is good at communicating.1.You do not
fear that you will lose your job.A.In which division do you
work?A.How long have you worked for BIMS?A.What is your
gender?Are you a manager or
supervisor?4722552312221328224613124123242277122435124
21324225122124513323332121622533321423424220912362245
514215115712291224124421113912Average2.293.142.293.143.
291.862.573.002.003.141.43225.291.432.00Descriptive

23. statistics1. How well do you enjoy working for BIMS? 1.You
enjoy your assigned shift. 1.Your request for your desired shift
was fulfilled. 1.How many times have you called in sick in the
last month? 1.You are well trained for your work. 1.You are
paid fairly for the work you do. Your supervisor treats you
fairly 1.Your supervisor’s boss treats your division fairly. 1.The
company is good at communicating. 1.You do not fear that you
will lose your job. A.In which division do you work? A.How
long have you worked for BIMS? A.What is your gender? Are
you a manager or supervisor? count7 7 7 7 7 7 7 7 7 7 7 7 7 7
mean2.29 3.14 2.29 3.14 3.29 1.86 2.57 3.00 2.00 3.14 1.43
225.29 1.43 2.00 sample standard deviation1.11 1.35 1.60 1.57
1.38 0.69 1.27 0.82 0.58 1.46 0.53 66.26 0.53 0.00 sample
variance1.24 1.81 2.57 2.48 1.90 0.48 1.62 0.67 0.33 2.14 0.29
4,390.90 0.29 0.00
minimum1.02.01.01.01.01.01.02.01.01.01.0139.01.02.0maximu
m4.05.05.05.05.03.04.04.03.05.02.0328.02.02.0range3.03.04.04.
04.02.03.02.02.04.01.0189.01.00.0population variance1.06 1.55
2.20 2.12 1.63 0.41 1.39 0.57 0.29 1.84 0.24 3,763.63 0.24 0.00
population standard deviation1.03 1.25 1.48 1.46 1.28 0.64 1.18
0.76 0.53 1.36 0.49 61.35 0.49 0.00 standard error of the
mean0.42 0.51 0.61 0.59 0.52 0.26 0.48 0.31 0.22 0.55 0.20
25.05 0.20 0.00 median2.00 3.00 2.00 3.00 4.00 2.00 3.00 3.00
2.00 4.00 1.00 216.00 1.00 2.00 mode2.00 2.00 1.00 5.00 4.00
2.00 1.00 3.00 2.00 4.00 1.00 ERROR:#N/A1.00 2.00
>5 yearsNo.1.How well do you enjoy working for BIMS?1.You
enjoy your assigned shift.1.Your request for your desired shift
was fulfilled.1.How many times have you called in sick in the
last month?1.You are well trained for your work.1.You are paid
fairly for the work you do.Your supervisor treats you
fairly1.Your supervisor’s boss treats your division fairly.1.The
company is good at communicating.1.You do not fear that you
will lose your job.A.In which division do you work?A. How
long have you worked for BIMS?A.What is your gender?Are
you a manager or
supervisor?6122224213342119223424512331222116221955352

24. 13232110814944225233119712233213544225296125422523421
23196227544551244212902125212213124138711105132221411
18322202421323533282223121551111127612353242315133173
21395131232232269224145133112326722772112542112163127
322125221351611243225113222116022Average2.942.592.712.4
13.062.352.352.192.242.441.5984.881.631.76Descriptive
statistics1.How well do you enjoy working for BIMS? 1.You
enjoy your assigned shift. 1.Your request for your desired shift
was fulfilled. 1.How many times have you called in sick in the
last month? 1.You are well trained for your work. 1.You are
paid fairly for the work you do. Your supervisor treats you
fairly 1.Your supervisor’s boss treats your division fairly. 1.The
company is good at communicating. 1.You do not fear that you
will lose your job. A.In which division do you work? A. How
long have you worked for BIMS? A.What is your gender? Are
you a manager or supervisor? count17 17 17 17 17 17 17 16 17
16 17 17 16 17 mean2.94 2.59 2.71 2.41 3.06 2.35 2.35 2.19
2.24 2.44 1.59 84.88 1.63 1.76 sample standard deviation1.30
1.42 1.57 1.37 1.52 1.06 1.22 1.28 0.90 1.36 0.62 18.65 0.50
0.44 sample variance1.68 2.01 2.47 1.88 2.31 1.12 1.49 1.63
0.82 1.86 0.38 347.74 0.25 0.19
minimum1.01.01.01.01.01.01.01.01.01.01.060.01.01.0maximum
5.05.05.05.05.04.05.05.04.05.03.0119.02.02.0range4.04.04.04.0
4.03.04.04.03.04.02.059.01.01.0population variance1.58 1.89
2.33 1.77 2.17 1.05 1.40 1.53 0.77 1.75 0.36 327.28 0.23 0.18
population standard deviation1.26 1.37 1.52 1.33 1.47 1.03 1.19
1.24 0.88 1.32 0.60 18.09 0.48 0.42 standard error of the
mean0.31 0.34 0.38 0.33 0.37 0.26 0.30 0.32 0.22 0.34 0.15
4.52 0.13 0.11 median2.00 2.00 2.00 2.00 3.00 2.00 2.00 2.00
2.00 2.00 2.00 83.00 2.00 2.00 mode2.00 2.00 1.00 2.00 5.00
2.00 1.00 1.00 3.00 1.00 2.00 96.00 2.00 2.00
less than 5No.1.How well do you enjoy working for
BIMS?1.You enjoy your assigned shift.1. Your request for your
desired shift was fulfilled.1.How many times have you called in
sick in the last month?1.You are well trained for your
work.1.You are paid fairly for the work you do.Your supervisor

25. treats you fairly1 Your supervisor’s boss treats your division
fairly.1.The company is good at communicating.1.You do not
fear that you will lose your job.A.In which division do you
work?A.How long have you worked for BIMS?A.What is your
gender?Are you a manager or
supervisor?1843241211425822451235144252572248513312553
12572271215514421257125023113322132542262135113222115
32265254332121152127235214355242492230223241241414727
65521425535347124224221133124412214155435213143221341
51332337222813445315352362281322524532228213224331333
12711153224455343272265133224352222312634324225122222
21115433133221221116035133421431912693513322132192270
32442212231812511244221122317225445141332421612163341
52244521622933144222243152126545312222111512222142215
43141315322243242214223723244245342142240421223122114
21644235512435114222555553552511212573413322233212227
41442112321112278123521121421022321523322213192268242
22135422912714532542118224431442251421821274215225332
27223344312223123712595242134311272266222131321317225
25534114431162256442252353526221414551342125125511352
15212152167513532212315221713212341221412582143221322
14224253324513423213831224124241212Average2.892.882.96
3.002.832.123.072.962.242.751.7722.061.661.85Descriptive
statistics1.How well do you enjoy working for BIMS? 1.You
enjoy your assigned shift. 1. Your request for your desired shift
was fulfilled. 1.How many times have you called in sick in the
last month? 1.You are well trained for your work. 1.You are
paid fairly for the work you do. Your supervisor treats you
fairly 1 Your supervisor’s boss treats your division fairly. 1.The
company is good at communicating. 1.You do not fear that you
will lose your job. A.In which division do you work? A.How
long have you worked for BIMS? A.What is your gender? Are
you a manager or supervisor? count53 51 53 51 53 51 54 51 54
53 53 54 53 52 mean2.89 2.88 2.96 3.00 2.83 2.12 3.07 2.96
2.24 2.75 1.77 22.06 1.66 1.85 sample standard deviation1.44
1.37 1.29 1.43 1.34 0.89 1.43 1.44 0.89 1.36 0.70 17.75 0.48

26. 0.36 sample variance2.06 1.87 1.65 2.04 1.80 0.79 2.03 2.08
0.79 1.84 0.49 315.11 0.23 0.13
minimum1.01.01.01.01.01.01.01.01.01.01.02.01.01.0maximum5.
05.05.05.05.04.05.05.04.05.03.058.02.02.0range4.04.04.04.04.0
3.04.04.03.04.02.056.01.01.0population variance2.02 1.83 1.62
2.00 1.76 0.77 1.99 2.04 0.78 1.81 0.48 309.27 0.22 0.13
population standard deviation1.42 1.35 1.27 1.41 1.33 0.88 1.41
1.43 0.88 1.34 0.69 17.59 0.47 0.36 standard error of the
mean0.20 0.19 0.18 0.20 0.18 0.12 0.19 0.20 0.12 0.19 0.10
2.42 0.07 0.05 median3.00 3.00 3.00 3.00 3.00 2.00 3.00 3.00
2.00 2.00 2.00 15.00 2.00 2.00 mode1.00 2.00 2.00 2.00 2.00
2.00 2.00 2.00 2.00 2.00 2.00 14.00 2.00 2.00
Charts IMale2.91Female2.71
Male Female 2.91 2.71
Charts II How well do you enjoy working for BIMS? How well
do you enjoy working for BIMS?Foods2.90Managers
3.17Housekeping2.78Non Managers2.81Maintenance3.00By
DivisionManagers/Non Managers
Foods Housekeping Maintenance 2.9 2.78 3
Managers Non Managers 3.17 2.81
Charts IIIYou enjoy your assigned shift.You enjoy your
assigned shift.Managers2.75%Food 2.39Non Managers
2.90%Housekeeping3.24Maintanance3.11
Managers Non Managers 2.75E-2 2.9000000000000001E-2
Food Housekeeping Maintanance 2.39 3.24 3.11
CHARTS IV How many times have you called in sick in the last
month?How many times have you called in sick in the last
month?Foods 3.23Managers 3.70Housekeeping2.66Non
managers2.78Maintenance2.67
HOW MANY TIMES HAVE YOU CALLED IN SICK IN THE
LAST MONT
Managers Non managers 3.7 2.78 Foods Housekeeping
Maintenance 3.23 2.66 2.67