BUSI 614 Week 8 – Regression, Discriminant and Factor Analysis Using SPSS Assignment

BUSI 614 Week 8 – Regression, Discriminant and Factor Analysis Using SPSS Assignment

BUSI 614  Week 8 – Regression, Discriminant and Factor Analysis Using SPSS Assignment.

REGRESSION, DISCRIMINANT, AND FACTOR ANALYSIS USING SPSS ASSIGNMENT.

 
INSTRUCTIONS
OVERVIEW
There are 2 SPSS data sets for this Module: Week’s SPSS assignment: AT&T and IBM. Do not forget to review the synopsis of each data set. You will need to upload each SPPS output separately.

INSTRUCTIONS

AT&T Deliverables
1. Regress (Q7F) on these variables: (Q7A–Q7E and Q7G–Q7K). Interpret these results.
2. Do those who currently have or do not have a wireless service from a carrier other that 
AT&T Wireless (Q3) differ in terms on the evaluations of AT&T on all of the attributes 
(A7A–Q7K) when these variables are considered simultaneously? To accomplish this 
task, run a 2 group discriminant analysis.
3. Can the evaluations of AT&T on all of the attributes (Q7A–Q7K) be represented by a 
reduced set of factors? Conduct a principal components analysis using varimax rotation 
and then save and upload the factor scores and plots.
 

IBM Deliverables
1. Do survey participants who have different IT roles (Q1) differ in terms of dimensions of overall measures (Q4–Q7) when these variables are considered simultaneously? Since 
there are no value labels in the IBM data set, assume role 3 to be IT.
2. Do survey participants who have different IT roles (Q1) differ in terms of dimensions of image (variables Q8–Q17) when these variables are considered simultaneously?
3. Do survey participants who have different IT roles (Q1) differ in terms of dimensions of purchase (variables Q18–Q21) when these variables are considered simultaneously?
4. Do survey participants who have different IT roles (Q1) differ in terms of sales and service support (variables Q22–Q26) when these variables are considered simultaneously?
5. Do survey participants who have different IT roles (Q1) differ in terms of future trends variables (Q27A–Q27G) when these variables are considered simultaneously?
6. Can the image variables (Q8–Q17) be represented by a reduced set of variables?
7. Can the likelihood of purchase variables (Q18–Q21) be represented by a reduced set of variables?
8. Can the sales and service support variables (Q22–Q26) of the questionnaire be represented by a reduced set of variables?
9. Can the future trends variables (Q27A–Q27G) of the questionnaire be represented by a reduced set of variables?
Including a Narrative in Your SPS Output File

You will note that some of the questions require you to interpret the results. SPSS allows you to include a narrative at any point in the Output file. To include a narrative, follow these simple 
steps:
Go to the point in the Output file that you wish to insert new text (highlight the point on the menu to the left), and then go to Insert => New Text.
 

Including any text in the Output file will reduce the amount of work you need to do in creating a Word document for the narrative. Consequently, you will only have to submit one file (the SPSS Output file) rather than multiple files.
SPSS Steps:

ï‚· Multiple Regression: Go to Analyze =>Regression =>Linear=>Select Dependent 
Variable (scale data only)=>Select Independent Variables (usually scale data but can contain nominal)=>OK.
ï‚· Discriminant Analysis: Go to Analyze => Classify => Discriminant => Grouping Variable (must be nominal data) => Define range => Independent 
Variables (scale data) => Statistics => Box’s M => Classify => Summary Table => OK.
ï‚· Factor Analysis: Analyze => Dimension Reduction => Factor => Select Variables (must be scale data only) => Extraction => Scree Plot => Continue => OK.
Important: Do not restrict yourself to the steps listed. Have fun and experiment with options/layout/different stats options/graphs, etc. Read up on how to interpret results.

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