The Role of Time, Weather and Google Trends in Understanding and Predicting Web Survey Response

by   Qixiang Fang, et al.

In the literature about web survey methodology, significant efforts have been made to understand the role of time-invariant factors (e.g. gender, education and marital status) in (non-)response mechanisms. Time-invariant factors alone, however, cannot account for most variations in (non-)responses, especially fluctuations of response rates over time. This observation inspires us to investigate the counterpart of time-invariant factors, namely time-varying factors and the potential role they play in web survey (non-)response. Specifically, we study the effects of time, weather and societal trends (derived from Google Trends data) on the daily (non-)response patterns of the 2016 and 2017 Dutch Health Surveys. Using discrete-time survival analysis, we find, among others, that weekends, holidays, pleasant weather, disease outbreaks and terrorism salience are associated with fewer responses. Furthermore, we show that using these variables alone achieves satisfactory prediction accuracy of both daily and cumulative response rates when the trained model is applied to future unseen data. This approach has the further benefit of requiring only non-personal contextual information and thus involving no privacy issues. We discuss the implications of the study for survey research and data collection.


Predicting Survey Response with Quotation-based Modeling: A Case Study on Favorability towards the United States

The acquisition of survey responses is a crucial component in conducting...

On application of a response propensity model to estimation from web samples

Increasing nonresponse rates and the cost of data collection are two pre...

Visualisation of Survey Responses using Self-Organising Maps: A Case Study on Diabetes Self-care Factors

Due to the chronic nature of diabetes, patient self-care factors play an...

Avatars in Work Meetings: Correlation Between Photorealism and Appeal

We investigated the effects of realism on acceptability of avatars for w...

Surveyor Gender Modifies Average Survey Responses: Evidence from Household Surveys in Four Sub-Saharan African Countries

Relatively little is known regarding the influence of surveyor traits on...

FeedbackMap: a tool for making sense of open-ended survey responses

Analyzing open-ended survey responses is a crucial yet challenging task ...

The Elicitation of Prior Distributions for Bayesian Responsive Survey Design: Historical Data Analysis vs. Literature Review

Responsive Survey Design (RSD) aims to increase the efficiency of survey...

Please sign up or login with your details

Forgot password? Click here to reset