Cross-sectional and Panel Data Analyses of an Incompletely Observed Variable Derived From the Nonrandomized Method for Surveying Sensitive Questions

Kazuo Yamaguchi

Sociological Methods & Research, 2016, vol. 45, issue 1, 41-68

Abstract: This article describes (1) the survey methodological and statistical characteristics of the nonrandomized method for surveying sensitive questions for both cross-sectional and panel survey data and (2) the way to use the incompletely observed variable obtained from this survey method in logistic regression and in loglinear and log-multiplicative association models. The nonrandomized method, which was introduced by Yu, Tian, and Tang and Tian et al. for surveying sensitive questions, is much more efficient than randomized response methods, and unlike the latter, the former can be included in a mail survey. The method also has unique advantages compared with the randomized response method for the analysis of panel survey data. A simulation analysis presents how the relative efficiency of statistics in the analysis of data collected with this method changes as a function of mixing probability compared with a hypothetical situation of collecting responses of a sensitive question from every sample subject. The use of statistical software for the application of the logistic regression model, with an incompletely observed variable from cross-sectional and panel surveys, is also described.

Keywords: nonrandomized method; random response method; latent class model; panel data analysis; sensitive question (search for similar items in EconPapers)
Date: 2016
References: View references in EconPapers View complete reference list from CitEc
Citations:

Downloads: (external link)
https://journals.sagepub.com/doi/10.1177/0049124114562508 (text/html)

Related works:
This item may be available elsewhere in EconPapers: Search for items with the same title.

Export reference: BibTeX RIS (EndNote, ProCite, RefMan) HTML/Text

Persistent link: https://EconPapers.repec.org/RePEc:sae:somere:v:45:y:2016:i:1:p:41-68

DOI: 10.1177/0049124114562508

Access Statistics for this article

More articles in Sociological Methods & Research
Bibliographic data for series maintained by SAGE Publications ().