The Data Set comprises a random sample (n=1000) of call center representatives (CSRs) responses to a survey. Several demographic variables were captured as well as 36 variables measuring role ambiguity, role conflict, work overload, work-family conflict, IT support, organizational commitment, job satisfaction (both extrinsic and intrinsic) and intention to quit.
Run PLS model on all the variables given in the dataset and interpret the results. Write up the results of the model with appropriate appendices. .
The SPLSP file already has the data calculated and pathed to the appropriate variables. I need assistance interpreting the results and putting together a robust analysis with possible hypothesis.
The call center data has already been loaded and pathed in PLS. The part i need is to write up a set of hypothesis and provide Run PLS model on all the variables given in the dataset and interpret the results. Write up the results of the model with appropriate appendices. Running them shouldn't be that hard as they are essentially calculated already in PLS. Once you open the file you may need to calc again to display values. I need to have a robust write up. I can give you the name of the text we are using in the class if that will help provide additional insight.
Additional information submitted:
07/16/2010 at 21:24 EDT:
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You won't likely need this one. This is an FYI.. I utilized this data to upload into the PLS file to run the calculation
I have attached some additoinal information of what needs to be in the write up. Also, I have attached hypothesis to match against the data set that is calculated. Please provide as much detail as possible and write the paper as one would a research article. The data legend will explain the appreviated variables in the assignment.
ANY questions feel free to email me.
The main objectives for the paper are
1. State Hypotheses
2. Report the results (corresponding graphs, chart and path modeling)
Address appropriate validity and reliability tests
Illustrate appropriate path models as well as graphs
3. Interpret the Result and provide a Conclusion
Do the results support any of the hypotheses?
What are limitations?
What can we do for future research?
Hypothesis: Measuring Organizational Motivation
1a JS has a negative effect on IQ
2a JS has a positive effect on OC (mediating effect)
3a OC has a negative effect on IQ (mediating effect)
Hypothesis: Testing Impact of organizational technical support on employee motivation
2a Sup has a positive effect on JS
2b IT has a positive effect on JS
Hypothesis: Measuring the Impact of organizational technical Support on work stressors
3a Sup has a negative effect on RA
3b Sup has a negative effect on RC
3c Sup has a negative effect on WO
3d Sup has a negative effect on WF
Hypothesis: Measuring the impact of organizational technology on work stressors
4a IT has a negative effect on RA
4b IT has a negative effect on RC
4c IT has a negative effect on WO
4d IT has a negative effect on WF
Also explain any possible Explain Path Coefficients and total effects.
You need only two files. The XLS file is the legend which provides definitions of what the variable abbreviations mean. The second is the PLS file which I have already loaded the data and mappepd the paths appropriately. You should be able to open the one file in Excel and the other in PLS software.
can pay 30$
You don't need the assginment redo file as I have taken that data already and uploaded it into the PLS file and mapped to the variables.
I can do this. I am a business graduate and am recently done with my exams of M.S. in HRM so can deal with the motivation data in a suitable way. I have knowledge of data interpretation using various techniques and res Daha Fazla