Data Analysis

1. T-test and ANOVA
   A1) Do the two groups in Q6 differ in terms of overall satisfaction (Q2)? Report the relevant statistics and state whether the two groups in Q6 differ in terms of overall satisfaction (Q2). Include the relevant SPSS outputs.
   A2) Do the three groups in Q7 differ in terms of overall satisfaction (Q2)? Report the relevant statistics and state whether the three groups in Q7 differ in terms of overall satisfaction (Q2). Include the relevant SPSS outputs.
   
2. Multiple regression
   B1) Can overall satisfaction (Q2) be explained by the four image statements about HP in Q3 (Q3_1 to Q3_4)? Report the relevant statistics and state which of the four image statements can explain overall satisfaction. Include the relevant SPSS outputs.
   B2) Can continued purchasing (Q4) be explained by the four image statements about HP in Q3 (Q3_1 to Q3_4)? Report the relevant statistics and state which of the four image statements can explain continued purchasing. Include the relevant SPSS outputs.
3. Discriminant analysis and logi s t ic regression
   C1) Do a two-group discriminant analysis with the two user groups in Q1 as the dependent variable and the four image statements in Q3 (Q3_1 to Q3_4) as the independent variables. Report 1) the percentage of original grouped cases correctly classified and the percentage of cross-validated grouped cases correctly classified from the Classification Results table and 2) significance value of each of the four image statement variables from the Tests of Equality of Group Means table and state which of them can be used to separate users from non-users. Include the relevant SPSS outputs.
   C2) Do a similar analysis with the logistic regression model. Report 1) the percentage of original grouped cases correctly classified, 2) significance value of each of the four image statement variables from the Variables in the Equation table and state which of them can be used to separate users from non-users, and 3) compare the similarities and differences in the classification rates and significance values between this logistic regression analysis and the discriminant analysis above. Include the relevant SPSS outputs.
4. Factor Analysis
   Can the seven statements in Q5 (Q5_1 to Q5_7) be represented by a reduced set of factors? What would be the interpretation of these factors? In addition, create the factor(s) in SPSS through the summated score procedures (i.e., Transform -> Computer Variable), and do a one-sample t-test with 5 as the threshold value and report your finding in the one-sample t-test. Include the relevant SPSS outputs.
5. Cluster Analysis

How would you cluster the respondents based on the seven statements in Q5 (Q5_1 to Q5_7)? What would be the interpretation of the resulting clusters? Include the relevant SPSS outputs.

Price: $20.75

Solution: The downloadable solution consists of 11 pages, 975 words and 6 charts.
Deliverable: Word Document