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

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GLOSSARY 353<br />

or what the column refers, even when pages are turned. Using diecut<br />

pages eliminates work, too, since the persons or items only need<br />

to be recorded once. Pages may be cut with special die-cutting<br />

equipment or paper cutters. (See Question 14 in Appendix B.)<br />

“don’t know,” “no opinion,” “undecided,” and “no answer” responses<br />

A “don’t know” answer is given by a respondent to indicate<br />

that he or she would be willing to answer the question but is unable<br />

to do so due to lack of information. In difficult or sensitive questions<br />

about behavior, a “don’t know” may also be a polite refusal to answer.<br />

A “no opinion” response to an attitude question indicates that the<br />

respondent has not yet formed an opinion on the issue. An “undecided”<br />

answer indicates that the respondent cannot choose between<br />

two or more alternatives to a closed question. A “no answer” typically<br />

is caused by a refusal to answer the question or by a respondent’s<br />

breaking off the interview at some early point. It might also be caused<br />

by interviewer error if an interviewer skipped the question. For many<br />

research purposes, these categories may be combined, but for some<br />

purposes it is useful to have them separated. Thus, for example, on a<br />

controversial attitude question, it is useful to separate those who<br />

refuse to answer the question from those who are undecided between<br />

alternatives and from those who have not formed an opinion. <strong>The</strong>se<br />

separate response categories should be read to the respondent, or an<br />

additional probe question should be asked.<br />

false positives and false negatives Sometimes respondents will be<br />

classified as having an attribute they do not in fact have (false positive).<br />

Sometimes they will be classified as not having an attribute<br />

when in fact they do have it (false negative). For example, someone<br />

who says he voted in the last election but is shown by a record<br />

check not to have voted would be a false positive. Someone who<br />

said she was not a registered voter but who appeared on the list of<br />

registered voters would be a false negative.<br />

field (used in precolumning) <strong>The</strong> set of columns in which the<br />

information is stored on an IBM card is called a “field.” A column

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