2026-05-30T21:44:09Z https://datacatalogue.cessda.eu/oai-pmh/v0/oai

a4f8fa2cb7e20ad81e512150c79a0aeb311f31e0a68a8ed9c335c1e7938dd7d4 2026-05-30T01:13:46Z language:enopenaire_data

Replication Data for: Pouring water into wine: revisiting the advantages of the crosswise model for asking sensitive questions Replication Data for: Pouring water into wine: revisiting the advantages of the crosswise model for asking sensitive questions doi:10.11587/KZIQ4A Walzenbach, Sandra Hinz, Thomas n/a AUSSDAThe Austrian Social Science Data Archive Data collection methodologyInterviews (data collection)Surveys Science and technology The Crosswise Model (CM) has been proposed as a method to reduce effects of social desirability in sensitive questions. In contrast with former variants of Randomized Response Techniques (RRTs), the crosswise model neither offers a self-protective response strategy, nor does it require a random device. For these reasons, the crosswise model has received a lot of positive attention in the scientific community. However, previous validation studies have mostly analysed negatively connoted behaviour and thus draw on the principle of “more is better”. Higher prevalence rates of socially undesirable behaviour in the crosswise model cannot be attributed unambiguously to a reduction in social desirability bias, since random ticking resulting from respondent confusion about the question format cannot be ruled out as an alternative explanation. Unlike most research on crosswise models and randomized response techniques, we conduct an experiment in a general population survey that does not assess negatively connoted but socially desirable behaviour (namely, whether respondents had donated blood within the last twelve months). This design allows us to empirically disentangle the reduction of social desirability bias from random responses. We find signifcantly higher prevalence rates in the crosswise condition than in the direct question. What is more, we could not identify any subgroup of respondents, in which the CM successfully reduced social desirability bias. These results cast doubts on the validity of cosswise models. They suggest that a considerable number of respondents do not comply with the intended procedure. 2013-11-062014-01-07 Germany Konstanz Individual Registered citizens of Konstanz who were at least 18 years old Numeric Longitudinal: Panel Probability Self-administered questionnaire: Web-based; Self-administered questionnaire: Paper Structured questionnaire For more Information please visit AUSSDA's web page https://data.aussda.at/oai doi:10.11587/KZIQ4A 2023-06-01T10:51:50Z ddi:codebook:2_5