ASSESSING SOME ESTIMATION CRITERIA OF
MEASUREMENT ERROR FOR CATEGORICAL DATA
Roshanak Alimohammadi
Statistics Department
Mathematical Sciences Faculty
Alzahra University, Vanak, Tehran, IRAN

Abstract

The measurement error is an essential and unavoidable part of nonsampling error in surveys. Therefore, estimation of the measurement error to compute precision of the survey results is necessary. In the previous investigations, modeling of measurement error for continues and categorical data is studied. In this paper, some criteria to quantify measurement error of categorical data are proposed. Besides, in a simulation study, the effect of sample size and number of categories on performance of the criteria is assessed. Furthermore, based on the simulation results, the standard error of the criteria is compared and the proper criterion is proposed for each of the cases of categorical data.

Citation details of the article



Journal: International Journal of Applied Mathematics
Journal ISSN (Print): ISSN 1311-1728
Journal ISSN (Electronic): ISSN 1314-8060
Volume: 30
Issue: 2
Year: 2017

DOI: 10.12732/ijam.v30i2.1

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