By Denise Saßenroth
Increasing nonresponse premiums in surveys are an issue of outrage the world over, as low reaction premiums placed the standard of survey information into query. the chance of biased facts is excessive if nonrespondents vary considerably from respondents. In arguing that pattern individuals’ character characteristics are decisive in survey participation judgements, Denise Saßenroth investigates the mechanisms inflicting expanding nonresponse premiums. in response to a amendment of the Social Isolation speculation, she analyses the effect of pattern folks’ character on participation judgements with info from the German basic Social Survey and the LISS Panel from the Netherlands.
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Additional resources for The Impact of Personality on Participation Decisions in Surveys: A Contribution to the Discussion on Unit Nonresponse
2 Leverage-Saliency Theory The Leverage-Saliency Theory specifies “mechanisms by which individual householder differences themselves affect the performance of survey design features” (Groves et al. 2000: 300). The initial starting point of this theory is the assumption that the value of survey design features such as the topic of the sur54 vey or the responsible institute differs across persons. ” The leverage of an attribute reflects the degree to which this attribute is of importance, in either a positive or negative way, for the decision to participate in a survey or refuse to a survey request.
Dillman (1978: 12), who regards the process of encouraging survey participation of prospective respondents as a special case of social exchange, concludes that “there are three things that must be done to maximize survey response: minimise the costs for responding, maximize the rewards for doing so, and establish trust that those rewards will be delivered”. The TDM focusses on possibilities on the part of survey design features to reduce respondents’ costs and to enhance respondents’ trust and their rewards for survey cooperation.
35 In the case of panel attrition it is possible to compare panel members who dropped out of the panel with those who stay in the panel. Underlying assumption is that this comparison offers insights into nonrespondents’ characteristics which are expected to be similar to those of panel members who dropped out of the panel. However, this assumption is critically discussed as nonresponse in cross-national surveys differs from panel attrition. Lynn (2006: 393) emphasises: “The reasons for, and consequences of, attrition can be rather different from those of nonresponse on a cross-sectional survey”.