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20 CHAPTER 3 REVIEW OF CONJOINT ANALYSIS THEORY ...

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letter A and a follow-up questionnaire were sent two weeks after the initial mailings. The<br />

letter served two purposes, (1) it thanked the individuals who had responded, and (2)<br />

reminded those who had not responded to do so as soon as possible because their<br />

participation are important for success of the study.<br />

One difficulty with mail questionnaires, is that not all respondents will answer all<br />

questions. Sections will be left unanswered resulting in incomplete questionnaires that<br />

cannot be used in the analysis. In addition, surveys will be “ not deliverable” because of<br />

“incorrect addresses”. Responses were received from 524 (15 % of sample) individuals.<br />

However, not all of the returned surveys were completed. Only 509 respondents returned<br />

a completed questionnaire for a 14.75 % useable response rate. Of the initial sample of<br />

3450 surveys, nine were undelivered.<br />

Model Specification<br />

Evaluation and measurement of product profiles in conjoint studies usually<br />

involves using either a metric scale or a non-metric scale to elicit consumer preferences.<br />

Methods that assume the dependent variable is of an ordinal scale are ranked ordered<br />

because they provide a non-metric ordering of respondents’ preferences. The interval<br />

rating method is used when metric measures of respondents’ preferences are obtained.<br />

The ranking format allows respondents to rank product profiles from most preferred to<br />

least preferred. The rating format asks respondents to indicate their preferences for<br />

several hypothetical products, which could results in two or more products receiving the<br />

same score. This ability to express order, indifference and intensity for different product<br />

profiles, allows for both cardinal and ordinal properties of utility to be examined.<br />

37

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