Web Survey Bibliography
The increasing efforts and costs required to achieve survey response have led to a stronger focus on survey data collection monitoring by means of paradata and to the rise of adaptive and responsive survey designs. Indicators that support data collection monitoring, targeting and prioritising in such designs are not yet available. Subgroup response rates come closest but do not account for subgroup size, are univariate and are not available at the variable level. We present and investigate indicators that support data collection monitoring and effective decisions in adaptive and responsive survey designs. As they are natural extensions of R-indicators, they are termed partial R-indicators. We make a distinction between unconditional and conditional partial R-indicators. Unconditional partial R-indicators provide a univariate assessment of the impact of register data and paradata variables on representativeness of response. Conditional partial R-indicators offer a multivariate assessment. We propose methods for estimating partial indicators and investigate their sampling properties in a simulation study. The use of partial indicators for monitoring and targeting nonresponse is illustrated for both a household and a business survey. Guidelines for the use of the indicators are given.
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Web Survey Bibliography - Schouten, B. (15)
- Adaptive survey designs to minimize survey mode effects. A case study on the Dutch Labour Force Survey...; 2013; Calinescu, M., Schouten, B.
- Optimizing quality of response through adaptive survey designs; 2013; Schouten, B., Calinescu, M., Luiten, A.
- Mode Effects in Mixed-Mode Surveys: Prevention, Diagnostics, and Adjustment 1; 2013; de Leeuw, E. D., Dillman, D. A., Schouten, B.
- Estimating Measurement Effects of Survey Modes From Between and Within Subject Designs; 2013; Klausch, L. T., Hox, J., Schouten, B.
- Mixed-mode including web: Recent developments at Statistics Netherlands; 2013; Luiten, A., Schouten, B.
- Disentangling Mode-Specific Selection and Measurement Bias in Social Surveys; 2012; Buelens, B., van der Laan, J., Schouten, B., Klausch, L. T., van der Brakel, J., Burger, J.
- Assessing the Mode-dependency of Survey Response and Non-response Bias; 2012; Klausch, L. T., Hox, J., Schouten, B.
- Assessing Measurement Equivalence and Bias of Questions in Mixed-mode Surveys Under Controlled Sample...; 2012; Klausch, L. T., Hox, J., Schouten, B.
- The Representativity of Web Surveys of the General Population compared to Traditional Modes and Mixed...; 2012; Klausch, L. T., Schouten, B., Hox, J.
- Disentangling relative mode effects for the web survey mode in the Safety Monitor; 2011; Schouten, B., van de Brakel, J., Buelens, B., Klausch, L. T., van der Laan, J.
- Handbook of Nonresponse in Household Surveys ; 2011; Bethlehem, J., Cobben, F., Schouten, B.
- Indicators for Monitoring and Improving Representativeness of Response; 2011; Schouten, B., Shlomo, N., Skinner, C.
- Indicators for the representativeness of survey response; 2009; Schouten, B., Cobben, F., Bethlehem, J.
- Nonresponse Bias in Surveys; 2009; Bethlehem, J., Vehovar, V., Stoop, I., Schouten, B., Shlomo, N., Skinner, C., Montaquila, J.
- Survey Errors in Mixed-mode Pilots That Incorporate Face-to-face, Telephone, Paper and Web; 2007; Janssen, B., Schouten, B.