Predicting Response Rate: A Natural Experiment
Predicting Response Rate: A Natural Experiment
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预测响应率:自然实验
DOI:
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发表时间:
2010
期刊:
影响因子:
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通讯作者:
C. Weis
中科院分区:
文献类型:
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作者:
K. Axhausen;C. Weis
While the literature on survey methods (see Richardson et al, 1995 or Dillman, 2000 for rele-vant textbooks) discusses response burden, there seems to be no literature on its ex-ante pre-diction, nor on the resulting response rates. Still, market research firms have to estimate their interviewers’ time requirements in advance to be able to calculate a budget for a study. Using its point system, Ursula Raymann of the Zurich-based Gesellschaft fur Sozialforschung, rated a series of self-administered surveys (Table 1), which had been conducted by Axhausen and his collaborators at the Institute for Transport Planning and Systems (IVT). Table 1 Response burden: Points by question type and action Item Points Question or transition (up to 3 lines) 2 Each additional line 1 Closed yes/no answers 1 Simple numerical answer (e.g. year of birth) 1 Rating with up to 5 possibilities 2 Rating with more than 5 possibilities 3 Left, middle, right rating 2 Scales with 3 and more grades 2 Best of ranking with cards 4 Second and each additional best ranking 3 Answer to subquestions of up to 5 words 1 Answers to subquestion of up to 2 lines 2 a) Response to half-open question with ≤8 possibilities 2 Each additional one 2 b) Response to half-open question with ≥8 possibilities 4 Each additional one 3 Answer to “please specify” 2 First answer to an open question 6 Each additional answer to the open question 3 Mixing showcards 6 Giving/showing a card to the respondent 1 Per response category on a showcard 1 Filter 0.5 Branching 0.5 © Gesellschaft fur Sozialforschung, Zurich, 2006