1999
Modeling item nonresponse in questionnaires
Publication
Publication
Quality and Quantity: international journal of methodology , Volume 33 - Issue 2 p. 203- 213
The statistical analysis of empirical questionnaire data can be hampered by the fact that not all questions are answered by all individuals. In this paper we propose a simple practical method to deal with such item nonresponse in case of ordinal questionnaire data, where we assume that item nonresponse is caused by an incomplete set of answers between which the individuals are supposed to choose. Our statistical method is based on extending the ordinal regression model with an additional category for nonresponse, and on investigating whether this extended model describes and forecasts the data well. We illustrate our approach for two questions from a questionnaire held amongst a sample of clients of a financial investment company.
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doi.org/1026454011346, hdl.handle.net/1765/2154 | |
Quality and Quantity: international journal of methodology | |
Organisation | Erasmus School of Economics |
Franses, P. H., Geluk, I., & van Homelen, P. (1999). Modeling item nonresponse in questionnaires. Quality and Quantity: international journal of methodology, 33(2), 203–213. doi:1026454011346 |