  In survey panel research, anonymity of the participants is of great
importance, as it must be ensured to prevent negative effects of participation
as well as to maintain trust that the sensitive data that respondents provide
is handled with care. Measures have been developed in the disclosure control
literature to provide estimates for re-identification risk in a dataset.
Applying them to survey research is not straightforward as most methods that
have been developed do handle missing data properly. Here, a new method is
applied that closely matches a realistic scenario of an attempt of
re-identification for survey research. This method can be applied to assess
re-identification risk in survey research.
