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20 CHAPTER 3 REVIEW OF CONJOINT ANALYSIS THEORY ...

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After the preference model and measuring scale has been selected, the next step is<br />

to determine the presentation methods. The two-factor at a time, full profile, and<br />

pairwise comparison methods are most frequently used in conjoint analysis. The twofactor<br />

at a time approach requires respondents to compare two attributes at a time and<br />

rank the various combinations of attributes from the most to the least preferred. This<br />

approach is the simplest for respondents, since only two attributes are considered at one<br />

time. It has the advantage of reducing information overload, but its principal<br />

disadvantage is it is limited to ranking data only (Gustafsson, <strong>20</strong>00). This approach also<br />

prevents respondents from making realistic choices most commonly used for verbal<br />

descriptions of factor combinations, rather than pictures. (Green and Srinivasan 1978).<br />

Another disadvantage to this approach is its inability to use fractional factorial stimuli to<br />

reduce the number of comparisons (Hair et al., 1998)<br />

An alternative approach, the full-profile method, more closely represents real<br />

buying situations because it utilizes the complete set of attributes. However, this<br />

procedure lends itself to information overload and reduces the accuracy of respondents’<br />

preference evaluation. The number of profiles respondents have to evaluate can be<br />

reduced through the use of fractional factorial designs. For this reason, it is used most<br />

frequently in conjoint analysis. For example, assume you wish to evaluate three<br />

attributes, each with three levels, a total of 27 different product profiles can be evaluated.<br />

This is too large a number of profiles for respondents to effectively rate or rank. Because<br />

of this problem, the full profile procedure is used for relatively small numbers of factors<br />

such as five or six. In many marketing studies, products and services are defined by many<br />

more attributes each a with corresponding large number of levels. The use of a full-<br />

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