How healthy is your survey? Are all the questions in your survey working efficiently? Is your survey performing above or below benchmark standards? In this session Steve Wigmore and Alex Wheatley will discuss 10 diagnostic techniques which everybody in research can undertake to check the health of their surveys and give some tips on better ways to ask questions, resolve common data problems and improve the performance of their surveys.
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.
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.