Web Survey Analysis
Primeline Infotech reviews suggest that in general, Web survey response rates are considerably lower. However, such unsystematic evidence might be highly misleading. As an alternative, meta-analytic procedures synthesizing controlled experimental mode comparisons could provide accurate answers, but to the best of our knowledge, these studies have not been conducted so far.
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Taken together, our meta-analysis highlights that the common assumption of lower response rates for Web surveys compared to other modes does not hold true if scrutinized with the aid of meta-analytic research synthesis procedures, taking into account experimentally controlled primary studies. From a practical point of view, these results might contribute to improve the reputation of Web surveys as one survey mode of comparable data quality with respect to response rates. |
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While the weighted mean effect size indicated a slight advantage for other than Web modes, the 95% confidence interval around this mean effect size estimate included zero, suggesting that there are no systematic response rate differences. A homogeneity test revealed that the 36 effect sizes are homogeneous, indicating that the study descriptors are not systematically related to the effect size variability. This result was further supported by a meta-regression with the study descriptors included as independent variables, none of them exerting a significant predictive effect on the effect size variability. 



