Weighting for Unequal Inclusion Probabilities and Nonresponse in Dual Frame Telephone Surveys

Siegfried Gabler, Sabine Häder, Iris Lehnhoff and Elisabeth Mardian
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Siegfried Gabler: GESIS – Leibniz-Institute for the Social Sciences
Sabine Häder: GESIS – Leibniz-Institute for the Social Sciences
Iris Lehnhoff: GESIS – Leibniz-Institute for the Social Sciences
Elisabeth Mardian: GESIS – Leibniz-Institute for the Social Sciences

Chapter 11 in Telephone Surveys in Europe, 2011, pp 147-167 from Springer

Abstract: Introduction There are two main reasons for using weights in sample surveys. The first is the need to account for unequal inclusion probabilities which may result from various processes such as disproportional selection of units within strata. In telephone surveys, inclusion probabilities vary for example because of differential amounts of telephone numbers people have or differential numbers of persons in the household belonging to the target population. Therefore, design weights have to be calculated and applied during data analysis. In section 11.2 of this chapter, we describe how this may be handled in combined landline and mobile phone surveys.

Date: 2011
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DOI: 10.1007/978-3-642-25411-6_11

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