Tailored fieldwork design to increase representative household survey response: an experiment in the Survey of Consumer Satisfaction

Summary. We used a tailored survey design to obtain a more representative response. Paradata from previous consumer sentiments surveys and register information were used to stratify the sample into groups that differed in contact and co-operation propensity. We approached an experimental sample of 3000 households with a Web–mail–computer-assisted telephone interviewing sequential mixed mode strategy. The choice of initial mode and the subsequent computer-assisted telephone interviewing approach were tailored to the expected contact and co-operation propensities of the sample units. In the computer-assisted telephone interviewing follow-up of non-respondents, co-operation was manipulated by assigning specific interviewers to specific sample units. Contact was manipulated by timing, spacing and prioritizing calls. The tailored fieldwork strategy was successful in significantly increasing representativeness, while maintaining the level of response and costs. Representativeness was determined by R-indicators.

[1]  Morgan M. Millar,et al.  Improving Response To Web and Mixed-Mode Surveys , 2011 .

[2]  R M Groves,et al.  Consequences of reducing nonresponse in a national telephone survey. , 2000, Public opinion quarterly.

[3]  Andrey Peytchev,et al.  Reduction of Nonresponse Bias through Case Prioritization , 2010 .

[4]  Jelke Bethlehem,et al.  Indicators for the representativeness of survey response , 2009 .

[5]  R. Groves Nonresponse Rates and Nonresponse Bias in Household Surveys , 2006 .

[6]  Robert M. Groves,et al.  The Impact of Nonresponse Rates on Nonresponse Bias A Meta-Analysis , 2008 .

[7]  J. Bethlehem Weighting nonresponse adjustments based on auxiliary information , 2002 .

[8]  Chris Mohl Research and Responsive Design Options for Survey Data Collection at Statistics Canada , 2007 .

[9]  Geert Loosveldt,et al.  Minimizing survey refusal and noncontact rates: do our efforts pay off? , 2007 .

[10]  Mick Couper,et al.  The Use of Paradata in Survey Research , 2022 .

[11]  Robert M. Groves,et al.  Using proxy measures and other correlates of survey outcomes to adjust for non‐response: examples from multiple surveys , 2010 .

[12]  J. Brakel,et al.  Social desirability bias , response order effect and selection effects in the new Dutch Safety Monitor , 2010 .

[13]  James Wagner,et al.  Use of Paradata in a Responsive Design Framework to Manage a Field Data Collection , 2012 .

[14]  E. Singer,et al.  The effects of response rate changes on the index of consumer sentiment. , 2000, Public opinion quarterly.

[15]  Robert M. Groves,et al.  Responsive design for household surveys: tools for actively controlling survey errors and costs , 2006 .

[16]  Mick P. Couper,et al.  MEASURING SURVEY QUALITY IN A CASIC ENVIRONMENT , 2002 .

[17]  James Wagner,et al.  Adaptive survey design to reduce nonresponse bias , 2008 .

[18]  Sarah F. Riley,et al.  Reduction of Nonresponse Bias in Surveys through Case Prioritization , 2010 .

[19]  Eric R. Ziegel,et al.  Survey Errors and Survey Costs , 1990 .

[20]  Phil Edwards,et al.  Survey Errors and Survey Costs , 1991 .