%0 Journal Article
%T Statistical analysis of the item
%A Chi-lin Tsai
%J The Stata Journal
%@ 1536-8734
%D 2019
%R 10.1177/1536867X19854018
%X In this article, I review recent developments of the item-count technique (also known as the unmatched-count or list-experiment technique) and introduce a new package, kict, for statistical analysis of the item-count data. This package contains four commands: kict deff performs a diagnostic test to detect the violation of an assumption underlying the item-count technique. kict ls and kict ml perform least-squares estimation and maximum likelihood estimation, respectively. Each encompasses a number of estimators, offering great flexibility for data analysis. kict pfci is a postestimation command for producing confidence intervals with better coverage based on profile likelihood. The development of the item-count technique is still ongoing. I will continue to update the kict package accordingly
%K st0559
%K kict
%K kict deff
%K kict ls
%K kict ml
%K kict pfci
%K item-count technique
%K unmatched-count technique
%K list experiment
%K sensitive question
%U https://journals.sagepub.com/doi/full/10.1177/1536867X19854018