Two new models for survey sampling with sensitive characteristic: design and analysis

Autor:	Jun Wu Yu, Guo-Liang Tian, Man-Lai Tang
Rok vydání:	2007
Předmět:	Statistics and Probability Interview Maximum likelihood Randomized Response Technique Survey sampling computer.software_genre Confidence interval Sample size determination Face (geometry) Statistics Variance Criterion Data mining Statistics Probability and Uncertainty computer Mathematics
Zdroj:	Metrika. 67:251-263
ISSN:	1435-926X 0026-1335
DOI:	10.1007/s00184-007-0131-x
Popis:	Sensitive topics or highly personal questions are often being asked in medical, psychological and sociological surveys. This paper proposes two new models (namely, the triangular and crosswise models) for survey sampling with the sensitive characteristics. We derive the maximum likelihood estimates (MLEs) and large-sample confidence intervals for the proportion of persons with sensitive characteristic. The modified MLEs and their asymptotic properties are developed. Under certain optimality criteria, the designs for the cooperative parameter are provided and the sample size formulas are given. We compare the efficiency of the two models based on the variance criterion. The proposed models have four advantages: neither model requires randomizing device, the models are easy to be implemented for both interviewer and interviewee, the interviewee does not face any sensitive questions, and both models can be applied to both face-to-face personal interviews and mail questionnaires.
Databáze:	OpenAIRE
Externí odkaz:	https://explore.openaire.eu/search/publication?articleId=doi_________::2cb771d6759538f1aa4346402888195b https://doi.org/10.1007/s00184-007-0131-x Zobrazit plný text záznamu Full text from SpringerLink