Abstract:
Ascription is a data science method which we have adopted to cut long questionnaires for mobile surveys, shorten the length and decrease the cost of large tracking desktop surveys. Using proprietary mathematical and statistical algorithms, responses are accurately ascribed to some respondents based on the overall data of the studied population, and without the need for the respondents to go through the entire survey. A secondary benefit comes in the form of cutting costs by shortening the surveys for some respondent segments, survey length and data collection are greatly optimised.
This could also be of interest:
Research Papers
A quantum leap for the research industry
Catalogue: Congress 2016: #WOW
Authors: Steve Wigmore, Martin Dimov
Company: Kantar
September 22, 2016
Research Papers
The quantum package
Catalogue: Seminar 1980: Information Systems In Action
Author: Mark Katz
 
June 15, 1980
Research Papers
Market research and forecasting for the chemical industry
Catalogue: ESOMAR/WAPOR Congress 1967
Author: B. N. Hutchesson
 
August 1, 1967
