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Assessing the Quality of Survey Data by Jörg Blasius PDF

By Jörg Blasius

ISBN-10: 1849203326

ISBN-13: 9781849203326

This booklet introduces the newest equipment for assessing the standard and validity of survey information by means of offering new methods of examining version and measuring errors. by way of essentially and accessibly demonstrating those recommendations, specifically these derived from a number of Correspondence research, the authors enhance screening approaches to go looking for version in saw responses that don't correspond with real alterations among respondents. utilizing famous foreign facts units, the authors express easy methods to realize all demeanour of non-substantive version from reaction types 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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A sharper relationship with intended vote) and lower method effect coefficients than either 10-point or 101-point scales. Kroh suggests that providing a 101-point scale may induce ambiguity and extra task burden. He bolsters this by noting that 86% of responses to the 101-point scale were multiples of 10. Additionally, the interviews took significantly longer in the 101point version than in the other two formats. Since it usually takes more time to complete difficult tasks, this finding may be an indirect manifestation of greater task difficulty.

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. When Holbrook et al. replicated their analyses, limiting them to just those with 20 items or fewer (that was the largest in Bishop and Smith’s analyses), they also found no waning attention (declining motivation) effect. In his meta-analysis, Andrews (1984) found that data quality was lowest both at the beginning (the first 25 items) and at the end (beyond the 100th item).

They took two sets of items (national pride and attitude towards immigrants), one of which (immigrants) was balanced with three negatively and three positively worded items, while the other one had only one of five items negatively keyed. On the assumption that response style represents a consistent pattern of response that is independent of the content of the items, their analysis ‘borrows’ information from the balanced set of items to adjust the latent scores on the unbalanced items. Weijters, Schillewaert and Geuens (2008) propose a ‘representative indicators response style means and covariance structure’ model.

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Assessing the Quality of Survey Data by Jörg Blasius


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