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

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ASKING QUESTIONS THAT EVALUATE PERFORMANCE 235<br />

ated or tested the questionnaire accordingly. A second way to generate<br />

a questionnaire draft is to use a commercially available questionnaire.<br />

Commercial forms usually avoid the potential problems<br />

noted above but still need to be carefully matched to the requirements<br />

of the institution. Carefully analyze each question and other<br />

items before adapting the questionnaire for the institution.<br />

If an institution has generated or obtained a pool of items rather<br />

than adopted an entire instrument, care must be taken when selecting<br />

items on a piecemeal basis. Use logical and empirical analysis<br />

to select individual items from a pool. Logical analysis requires<br />

form developers to make subjective judgments in selecting appropriate<br />

items, whereas an empirical analysis requires that studies be<br />

conducted to determine the usability of the items.<br />

<strong>The</strong> last step in the design and construction of the items and<br />

the questionnaire is organizing the items in the questionnaire.<br />

Although there can be a fear of halo effects (favorably inflated<br />

responses) when putting such a questionnaire together, it is nonetheless<br />

best to make the questionnaire as simple and as easy-tocomplete<br />

as possible. If you must choose between possible halo<br />

effects and simplicity, choose simplicity. For instance, although frequently<br />

reversing the endpoints on a scale might help reduce halo<br />

effects, it can sometimes lead to errors because it makes the questionnaire<br />

needlessly complex.<br />

<strong>Questions</strong> need to be grouped, labeled, and organized for easy<br />

reading and answering, and according to how and where the responses<br />

should be placed. <strong>The</strong>re should be some negatively worded<br />

questions, and they should begin to appear early in the questionnaire<br />

to avoid mistakes that might be due to a positive response-set<br />

bias. (That is, varying the wording keeps respondents from simply<br />

selecting the same response for every question.) Negatively stated<br />

items can be useful, but only if they can be stated negatively in a<br />

coherent manner. Most questionnaire items can be grouped into<br />

subscales. If the original grouping was done on a logical basis, then<br />

a statistical technique such as factor analysis can be used to confirm<br />

whether the grouped items represent a common construct. If you

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