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

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300 ASKING QUESTIONS<br />

larger studies, computers can generally be more cost-effective. It is<br />

important, however, not to evaluate your choice solely on the basis<br />

of cost. Critical issues of sample representativeness and data quality<br />

should also be considered. (See Sudman and Wansink, 2002, for a<br />

more complete discussion.)<br />

<strong>The</strong> powerful ability of the computer to execute complex skip<br />

instructions also has some problems attached to it. <strong>The</strong> more complex<br />

the skip instructions, the greater the possibility that an error<br />

will creep into the programming so that questions are skipped improperly,<br />

or that certain patterns of responses cause the computer to<br />

freeze.<br />

<strong>The</strong> only solution, if the complex skips are required, is to spend<br />

the time to test how the questionnaire flows, under a wide variety<br />

of different answer patterns. This adds to the development time of<br />

the questionnaire, but saves much agony later. Even with substantial<br />

testing, some bugs may remain that will not be caught until the<br />

main survey; however, if the frequency and importance of these<br />

bugs is very low, they may usually be ignored or corrected during the<br />

field period.<br />

You should also be aware that complex skips and branching possible<br />

with CATI might make it more difficult to analyze your data<br />

and to obtain simple margins. With complex branching, the same<br />

variable will have different names depending on the branch taken,<br />

and these differently named variables will need to be combined for<br />

final analysis, which is not always a simple task.<br />

Furthermore, conducting a survey partly on CATI and partly<br />

with a paper-and-pencil questionnaire is messy. You cannot simply<br />

print out the CATI questionnaire and expect the interviewer to<br />

follow it. Also, merging data from a paper-and-pencil version with<br />

data from CATI interviews can be tricky. Instead of planning a<br />

mixed-mode study, think hard and creatively as to whether all<br />

parts can be either computer-assisted such as CATI and CAPI or all<br />

parts be done on paper. This will save you a lot of later-stage<br />

headaches.

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