When near means related: evidence from three web survey experiments on inter-item correlations in grid questions
In: International journal of social research methodology: IJSRM ; theory & practice, Band 21, Heft 3, S. 275-288
ISSN: 1464-5300
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In: International journal of social research methodology: IJSRM ; theory & practice, Band 21, Heft 3, S. 275-288
ISSN: 1464-5300
In: Zwischen Fragmentierung und Konzentration: die Bundestagswahl 2013, S. 61-71
In: Zwischen Fragmentierung und Konzentration: Die Bundestagswahl 2013, S. 61-72
In: International journal of public opinion research, Band 27, Heft 2, S. 289-302
ISSN: 1471-6909
In: Information, Communication & Society, Band 21, Heft 8, S. 1031-1049
Our study explores the adoption of Facebook and Twitter by candidates in the 2013 German Federal elections. Utilizing data from the German Longitudinal Election Study candidate survey fused with data gathered on the Twitter and Facebook use of candidates, we draw a clear distinction between Facebook and Twitter. We show that adoption of both channels is primarily driven by two factors: party and money. But the impact of each plays out differently for Facebook and Twitter. While the influence of money is homogenous for Facebook and Twitter with the more resources candidates have, the more likely they are to adopt, the effect is stronger for Facebook. Conversely, a party's impact on adoption is heterogeneous across channels, a pattern we suggest is driven by the different audiences Facebook and Twitter attract. We also find candidates' personality traits only correlate with Twitter adoption, but their impact is minimal. Our findings demonstrate that social media adoption by politicians is far from homogenous, and that there is a need to differentiate social media channels from one another when exploring motivations for their use.
In: GESIS Papers, Band 2015/04
In: GESIS Papers, Band 2015/03
In: Quality & Quantity, Heft Online First
Recent advances in web survey methodology were motivated by the observation that respondents increasingly use mobile devices, such as smartphones and tablets, to participate in web surveys. Even though we do not doubt this general observation, we argue that the claim is lacking a solid empirical basis. Most research on increasing mobile device use in web surveys covers limited periods of time and/or analyzes data from only one study or panel. There is a surprising lack of comprehensive overviews on the magnitude of mobile device use in web surveys. In the present study, we explored this research gap by analyzing data from 128 web surveys collected in four different academic studies in Germany between 2012 and 2020. Overall, we found strong empirical evidence for an increase in smartphone use, a stagnation in tablet use, and a decrease in desktop PC use. There was no evidence that the increase in smartphone use will slow down any time soon. Thus, we recommend that survey researchers prepare for a device change in web surveys that may enable new applications in web surveys.
In: Journal of the Royal Statistical Society, Series A (Statistics in Society), Band 184, Heft 3, S. 1052-1069
In this article, we examine two types of item nonresponse in a face-to-face population survey: 'don't know' (DK) and 'item refusal' (REF). Based on the cognitive model of survey response, the theory of survey satisficing and previous research, we derive explanatory variables on three levels: question, respondent and interviewer characteristics. The results of our cross-classified model show that while the two levels question and respondents' characteristics affected both types of item nonresponse, interviewer characteristics affected only DK answers. Our results also confirm that DK and REF are substantially different item nonresponse types resulting from distinguishable disruptions of the cognitive response process. Since most results are in line with prior theoretical predictions, they suggest that survey practitioners are well-advised by continuing to follow the large body of practical guidance derived from the theories tested here.
In: GESIS-Technical Reports, Band 2013/17
In: GESIS-Technical Reports, Band 2013/20
In: easy_social_sciences, Heft 67, S. 4-8
In: GESIS-Technical Reports, Band 2013/14