Using Paradata in Survey Data Analysis to Compensate for Measurement Error
11 May 2016, 12:00 pm–1:00 pm
Room G02, 55-59 Gordon Square, London WC1H 0NU
This event is part of the Quantitative Social Science (QSS) seminar series.
Chris Skinner, London School of Economics (LSE)
There is growing interest among survey methodologists in collecting and using 'paradata', auxiliary variables related to the quality of the variables to be analysed. Paradata related to measurement error in some survey variable may be viewed as a kind of 'accuracy indicator', conveying the level of accuracy with which the survey variable is measured. This may be used in the design of the survey instrument. Here , the talk focuses on its use in survey data analysis to correct estimation for the potential biasing effects of measurement error.
This event is open to all, free of charge.
For further information please contact Alex Bryson: email@example.com