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Asking Questions - The Definitive Guide To Questionnaire Design ...

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ASKING PSYCHOGRAPHIC QUESTIONS 257<br />

<strong>The</strong> final analyses were cross-validated with an independent<br />

sample. People with extreme preferences were found to have much<br />

in common. For example, people with extreme preferences consumed<br />

the same flavor of soup 70 percent of the time. Furthermore,<br />

each soup lover has a blend of different tastes. <strong>The</strong> typical tomato<br />

soup lover tended to be a book lover, a pet lover, stubborn, and to<br />

possess a strong sense of family; the typical chicken noodle soup<br />

lover tended to be more of a home lover and churchgoer, and a bit<br />

less creative (Wansink and Park, 2000b). <strong>The</strong>se clusters were then<br />

used to determine how the different soups should be differentially<br />

promoted—in what magazines and using what message strategy.<br />

Structuring Psychographic <strong>Questions</strong><br />

and Analyzing Answers<br />

One type of psychographic question asks respondents to indicate<br />

the extent to which they agree with various statements about their<br />

personality (such as those noted in Tables 8.1 and 8.2). A common<br />

way to formulate the question is to use an odd-interval, 9-point<br />

scale ranging from 1 = strongly disagree to 9 = strongly agree. Often<br />

the midpoints are not identified, and respondents are left to interpolate<br />

these values.<br />

A second method is to use a more abbreviated scale (such as<br />

done in the VALS example mentioned earlier in the chapter). Here<br />

an even-interval, 4-point (or 6-point) scale is presented with the<br />

points identified as being mostly disagree, somewhat disagree, somewhat<br />

agree, and mostly agree. Although it does not provide a midpoint<br />

or the wide range of the 9-point scale, this format is well<br />

suited for use in many modes—paper-and-pencil, telephone, or<br />

electronic.<br />

Wells (1975) notes that when the sample is large and the responses<br />

well scattered, the simplest way to analyze AIO data is by<br />

ordinary cross-tabulation. But when the sample is small and the<br />

responses are highly skewed, a simple cross-tab will have many

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