Techniques for asking sensitive questions in labour market surveys /
This dissertation focuses on techniques that are expected to reduce measurement error in labor market surveys due to social desirability concerns. The first part assesses the effectiveness of de-jeopardizing techniques, such as the Randomized Response Technique (RRT) and the Item Count Technique (IC...
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| OCLC: | 886289338 |
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| 主要作者: | |
| 企业作者: | |
| 语言: | English |
| 出版: |
Bielefeld :
WBV, W. Bertelsmann Verlag,
2014.
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| 丛编: | Beiträge zur Arbeitsmarkt- und Berufsforschung ;
348. Dissertationen |
| 主题: | |
| 格式: | Thesis Monograph Note that CRL will digitize material from the collection when copyright allows. |
| 总结: | This dissertation focuses on techniques that are expected to reduce measurement error in labor market surveys due to social desirability concerns. The first part assesses the effectiveness of de-jeopardizing techniques, such as the Randomized Response Technique (RRT) and the Item Count Technique (ICT), when collecting data on undeclared work and receipt of basic income support in Germany. In addition, we developed and applied a new technique - Item Sum Technique (IST) - for eliciting responses to sensitive questions, where the responses are continuous variables. The results suggest that neither RRT nor ICT increases reports of socially undesirable behavior, whereas the IST results are more promising.-- |
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| 实物描述: | 155 pages : illustrations ; 24 cm. |
| 参考书目: | Includes bibliographical references. |
| ISBN: | 9783763940837 3763940839 |
| ISSN: | 1865-4096 ; |