ob Satisfaction Survey Assignment You will be creating 7 different scales: work, pay, supervision, co-worker, opportunities, engagement and commitment.  With the exception of Overall (which should be kept as is), each scale is the average of the items within the dimension.  For example, the work scale will be the average of the four work items, W1 – W4, for each observation.  Cut and paste (you will need to use the paste special option) until you have a clean data set that looks like the following: Observation Gender Age Education Level Work Pay Supervision Co-worker Opportunities Engagement Commitment Overall 1 M 30 B N 2.5 3.75 2.5 2.25 3 3.75 2.5 6 2 F 28 A H 2.25 3 3 4 2.25 2.25 2.25 4   I recommend that you keep a “clean” copy of this revised/scaled data set saved separately.  You will need to sort the data several times for the following analyses.  Begin each analysis with a newly copied version of the scaled data set.  Remember, when you sort the data to sort ALL of the data set, not just the variable of interest.  Descriptive Analysis:  Describe the data using basic statistics and percentages.  For example, 64% of the observations are Male.  The average Overall Satisfaction rating (dependent) is 6.58.  Etc.  Be thorough and use charts, graphs, and tables.   Discuss your findings. Correlation analysis: Determine the correlation between each of the 6 independent measures and the three dependent measures (Work & engagement, work & commitment, work & overall, etc).  Discuss your results and expect to go beyond “strong correlation” or “weak relationship”.  What do those relationships MEAN in terms of this data and the variables given? Gender Age Education Level Work Pay Supervisor Coworker Opportunity Engagement Commitment Overall M 30 B N 2.5 3.75 2.5 2.25 3 3.75 2.5 6 F 28 A H 2.25 3 3 4 2.25 2.25 2.25 4 M 40 B MM 4.25 3.75 3.5 3.25 3 4.25 4 8 F 41 G LM 4.75 4 3.75 3.25 3 5 4 9 M 45 B EM 4 3.5 4.75 4.5 3.5 4.25 3.5 8 F 36 B N 3.25 3.5 2 2.75 3 2.75 1.75 4 F 34 B MM 3.75 4 3.5 3.25 3.75 4 3.5 7 M 24 H H 2.5 4 3.5 4 3 2.5 2.75 6 M 27 H H 2.5 2.75 2.25 4 3.25 2.75 3 6 M 55 G MM 4.75 4.5 4.75 4 3.5 5 4.75 8 F 28 A H 2.25 3 3 4 2.25 2.25 2.25 4 M 43 B LM 4.25 3.75 3.5 3.25 3 4.25 4 8 F 41 G MM 4.75 4 3.75 3.25 3 5 4 8 F 45 B EM 4 3.5 4.75 4.5 3.5 4.25 3.5 8 M 30 B N 2.5 3.75 2.5 2.25 3 3.75 2.5 6 M 28 A H 2.25 3 3 4 2.25 2.25 2.25 4 M 37 B MM 4.25 3.75 3.5 3.25 3 4.25 4 7 M 41 G MM 4.75 4 3.75 3.25 3 5 4 9 F 61 B EM 4 3.5 4.75 4.5 3.5 4.25 3.5 8 F 36 B N 3.25 3.5 2 2.75 3 2.75 1.75 4 M 34 B LM 3.75 4 3.5 3.25 3.75 4 3.5 7 M 25 H H 2.5 4 3.5 4 3 2.5 2.75 8 M 32 H H 2.5 2.75 2.25 4 3.25 2.75 3 6 M 55 G MM 4.75 4.5 4.75 4 3.5 5 4.75 8 F 29 A H 2.25 3 3 4 2.25 2.25 2.25 4 M 44 B LM 4.25 3.75 3.5 3.25 3 4.25 4 8 M 41 G MM 4.75 4 3.75 3.25 3 5 4 7 F 31 B N 2.5 3.75 2.5 2.25 3 3.75 2.5 6 F 32 A H 2.25 3 3 4 2.25 2.25 2.25 5 M 38 B MM 4.25 3.75 3.5 3.25 3 4.25 4 7 M 43 G MM 4.75 4 3.75 3.25 3 5 4 8 M 57 B EM 4 3.5 4.75 4.5 3.5 4.25 3.5 7 F 41 B N 3.25 3.5 2 2.75 3 2.75 1.75 5 F 37 B LM 3.75 4 3.5 3.25 3.75 4 3.5 7 M 23 H H 2.5 4 3.5 4 3 2.5 2.75 6 M 26 H H 2.5 2.75 2.25 4 3.25 2.75 3 6 M 58 G LM 4.75 4.5 4.75 4 3.5 5 4.75 8 M 43 B MM 4.25 3.75 3.5 3.25 3 4.25 4 8 M 49 G EM 4.75 4 3.75 3.25 3 5 4 7 F 29 B N 2.5 3.75 2.5 2.25 3 3.75 2.5 6 F 30 A H 2.25 3 3 4 2.25 2.25 2.25 3 M 40 B MM 4.25 3.75 3.5 3.25 3 4.25 4 7 F 32 B N 2.5 3.75 2.5 2.25 3 3.75 2.5 5 M 28 A H 2.25 3 3 4 2.25 2.25 2.25 5 F 44 B MM 4.25 3.75 3.5 3.25 3 4.25 4 7 M 51 G EM 4.75 4 3.75 3.25 3 5 4 8 F 45 B MM 4 3.5 4.75 4.5 3.5 4.25 3.5 6 F 36 B N 3.25 3.5 2 2.75 3 2.75 1.75 5 M 34 B MM 3.75 4 3.5 3.25 3.75 4 3.5 6 M 27 H LM 2.5 4 3.5 4 3 2.5 2.75 7 F 24 H H 2.5 2.75 2.25 4 3.25 2.75 3 8 M 55 G MM 4.75 4.5 4.75 4 3.5 5 4.75 7 F 31 B N 2.5 3.75 2.5 2.25 3 3.75 2.5 5 M 28 S H 2.25 3 3 4 2.25 2.25 2.25 3 M 43 B MM 4.25 3.75 3.5 3.25 3 4.25 4 8 M 41 G MM 4.75 4 3.75 3.25 3 5 4 7 F 45 B LM 4 3.5 4.75 4.5 3.5 4.25 3.5 8 M 41 B N 3.25 3.5 2 2.75 3 2.75 1.75 3 M 34 B MM 3.75 4 3.5 3.25 3.75 4 3.5 7 M 23 H H 2.5 4 3.5 4 3 2.5 2.75 8 F 31 H LM 2.5 2.75 2.25 4 3.25 2.75 3 6 M 54 G MM 4.75 4.5 4.75 4 3.5 5 4.75 8 F 42 B N 4.25 3.75 3.5 3.25 3 4.25 4 8 M 49 G EM 4.75 4 3.75 3.25 3 5 4 7 M 33 B N 2.5 3.75 2.5 2.25 3 3.75 2.5 6 M 28 H H 2.25 3 3 4 2.25 2.25 2.25 4 F 40 B MM 4.25 3.75 3.5 3.25 3 4.25 4 8 M 31 B N 2.5 3.75 2.5 2.25 3 3.75 2.5 6 M 28 H H 2.25 3 3 4 2.25 2.25 2.25 5 F 46 B MM 4.25 3.75 3.5 3.25 3 4.25 4 8 M 33 G N 4.75 4 3.75 3.25 3 5 4 8 M 45 B MM 4 3.5 4.75 4.5 3.5 4.25 3.5 7 M 31 B N 3.25 3.5 2 2.75 3 2.75 1.75 5 F 44 B LM 3.75 4 3.5 3.25 3.75 4 3.5 6 M 25 H H 2.5 4 3.5 4 3 2.5 2.75 7 M 27 H H 2.5 2.75 2.25 4 3.25 2.75 3 6 M 60 G MM 4.75 4.5 4.75 4 3.5 5 4.75 8 F 28 A H 2.25 3 3 4 2.25 2.25 2.25 5 F 48 B MM 4.25 3.75 3.5 3.25 3 4.25 4 8 M 51 G MM 4.75 4 3.75 3.25 3 5 4 9 M 39 B N 2.5 3.75 2.5 2.25 3 3.75 2.5 6 M 28 H H 2.25 3 3 4 2.25 2.25 2.25 5 F 39 B MM 4.25 3.75 3.5 3.25 3 4.25 4 7 M 59 G EM 4.75 4 3.75 3.25 3 5 4 8 M 45 B MM 4 3.5 4.75 4.5 3.5 4.25 3.5 8 F 37 B N 3.25 3.5 2 2.75 3 2.75 1.75 5 F 44 B MM 3.75 4 3.5 3.25 3.75 4 3.5 7 M 28 H H 2.5 4 3.5 4 3 2.5 2.75 6 M 26 H H 2.5 2.75 2.25 4 3.25 2.75 3 6 M 59 G EM 4.75 4.5 4.75 4 3.5 5 4.75 8 M 40 B MM 4.25 3.75 3.5 3.25 3 4.25 4 7 F 41 G N 4.75 4 3.75 3.25 3 5 4 8 F 30 B N 2.5 3.75 2.5 2.25 3 3.75 2.5 6 M 28 S H 2.25 3 3 4 2.25 2.25 2.25 5 M 40 B MM 4.25 3.75 3.5 3.25 3 4.25 4 8 M 28 A H 2.25 3 3 4 2.25 2.25 2.25 4 M 40 B MM 4.25 3.75 3.5 3.25 3 4.25 4 8 M 41 G EM 4.75 4 3.75 3.25 3 5 4 8 F 45 B EM 4 3.5 4.75 4.5 3.5 4.25 3.5 7 M 36 B N 3.25 3.5 2 2.75 3 2.75 1.75 5 F 34 B MM 3.75 4 3.5 3.25 3.75 4 3.5 7 M 24 H H 2.5 4 3.5 4 3 2.5 2.75 6 M 27 H LM 2.5 2.75 2.25 4 3.25 2.75