Analysis and Interpretation of Quantitative Data

ExecutiveMatch is a relationship services provider targeted at the upper end of the market. ExecutiveMatch conducts an initial personal interview and uses a proprietary system for matching compatible singles wanting to find a partner. ExecutiveMatch also provides opportunities for its members to get together at activities such as wine tasting, Casino nights and high-end dinning. ExecutiveMatch has conducted an online survey to discover which factors influence their customers' level of satisfaction with them as their provider of relationship services. The survey resulted in 402 completed responses.

In the survey, data was collected on customers' overall level of satisfaction with ExecutiveMatch, and the types of value the customer derives from their relationship services. The types of value studied were monetary (ExecutiveMatch is good value for money), convenience (I value the ease of using the ExecutiveMatch service), social (using ExecutiveMatch makes a good impression on other people), and emotional (using ExecutiveMatch gives me pleasure). Overall satisfaction was measured as 'Overall, I am very satisfied with ExecutiveMatch'. These variables were all measured on 7-point Likert-type scales ranging from 1=strongly disagree to 7=strongly agree. The age of the customer was also provided. A regression model was constructed to predict overall satisfaction on the basis of the independent value-based variables indicated above. ATTACHMENT is provided to assist you in answering the questions below.

Provide a summary of key findings from the regression analysis (7 marks); recommendations to ExecutiveMatch, based on insights gained from the analysis, to assist with their marketing and service development to ensure its customers have a high level of overall satisfaction (4 marks); and suggest additional research that could be carried out to gain a greater understanding of customer satisfaction with ExecutiveMatch (4 marks).

ATTACHMENT 2 Regression Variables Entered/Removed Variables Variables Emotional a. All requested variables entered. Model Summary Adjusted R Std. Error of R Square Square the Estimate a. Predictors: (Constant), Age, Monetary Value, Social Value, Convenience Value, Emotional Value ANOVA Model Sum of Squares df Mean Square F Sig. Regression 487.321 5 97.464 79.832 000a Residual 476.139 390 1.221 Total 963.460 395 a. Predictors: (Constant), Age, Monetary Value, Social Value, Convenience Value, Emotional Value b. Dependent Variable: Overall Satisfaction Coefficients Standardized Unstandardized Coefficients Coefficients Model B Std. Error Beta t Sig. 1 (Constant) .163 278 584 559 Convenience Value 214 059 178 3.632 000 Monetary Value 077 071 064 1.085 .279 Emotional Value .370 .045 415 8.134 000 Social Value .185 069 172 2.684 008 Age -.002 .006 -.011 -.290 .772 a. Dependent Variable: Overall Satisfaction