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A survey technique for estimating the proportion and sensitivity in a dichotomous finite population
Author(s) -
Huang KuoChung
Publication year - 2004
Publication title -
statistica neerlandica
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 0.52
H-Index - 39
eISSN - 1467-9574
pISSN - 0039-0402
DOI - 10.1046/j.0039-0402.2003.00113.x
Subject(s) - respondent , estimator , statistics , sensitivity (control systems) , mathematics , mean squared error , extension (predicate logic) , simple (philosophy) , population , measure (data warehouse) , econometrics , character (mathematics) , survey research , randomized response , computer science , data mining , demography , psychology , electronic engineering , engineering , philosophy , geometry , epistemology , sociology , applied psychology , political science , law , programming language
In this paper, a simple survey technique to measure the sensitivity of survey issues is presented. It can be applied to estimate the population proportion as well as the probability that a respondent truthfully states that he or she bears a sensitive character when experienced in a direct response survey. An unbiased estimator of mean square error for direct response survey is obtainable so as to be able to judge the effect on the accuracy in estimation. It is also found that the proposed technique is more efficient than some traditional techniques. A simple extension for polychotomous situations can be developed as well.