Download e-book for iPad: Assessing the Quality of Survey Data by Jörg Blasius

By Jörg Blasius

ISBN-10: 1849203326

ISBN-13: 9781849203326

This ebook introduces the most recent tools for assessing the standard and validity of survey information via delivering new methods of reading edition and measuring errors. via essentially and accessibly demonstrating those ideas, particularly these derived from a number of Correspondence research, the authors boost screening systems to go looking for edition in saw responses that don't correspond with real modifications among respondents. utilizing recognized overseas facts units, the authors convey tips on how to realize all demeanour of non-substantive version from reaction kinds together with acquiescence, respondents' failure to appreciate questions, insufficient box paintings criteria, interview fatigue, or even the manufacture of (partly) faked interviews.

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Indd 27 27 25/01/2012 10:03:54 AM In one of several studies that incorporated experimental design features, Krosnick et al. (2002) presented respondents with possible plans that would prevent future oil spills. Respondents were asked to vote on the plan, whose cost per person was randomly assigned to vary between $10 and $120. Respondents were also randomly assigned to voting method, with half dropping their vote in a sealed envelope in a box (anonymous condition) and the other half reporting their vote to the interviewer (accountable condition).

Since it usually takes more time to complete difficult tasks, this finding may be an indirect manifestation of greater task difficulty. indd 28 ASSESSING THE QUALITY OF SURVEY DATA 25/01/2012 10:03:54 AM number of labelled response options. Recent research indicates that, if Likert response formats are used, seven-point response options yield optimal criterion validity (Malhotra, Krosnick and Thomas, 2009). , 2010). Holbrook, Cho and Johnson (2006: 569) designed a study in which they followed up each survey question with a series of probes.

Task difficulty (measured as number of letters per word and number of words per sentence) predicted the magnitude of response order effect. 5 percentage point greater response order effect. They also documented that questions occurring later in the survey were more susceptible to response order effects than those that occurred earlier. This finding is at odds with that of Bishop and Smith’s (2001) meta-analysis of earlier Gallup surveys. The discrepancy in findings is likely due to the fact that the earlier studies were much shorter.

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Assessing the Quality of Survey Data by Jörg Blasius


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