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Higher data quality in web probing with EvalAnswer: a tool for identifying and reducing nonresponse in openended questions

[working paper]

Kaczmirek, Lars
Meitinger, Katharina
Behr, Dorothée

Corporate Editor
GESIS - Leibniz-Institut für Sozialwissenschaften

Abstract

"EvalAnswer is a tool for automatically detecting different types of nonresponse in answers to openended questions. It was specifically developed for use in web probing procedures but it can be used in any online survey that asks open-ended questions. EvalAnswer automatically detects and codes cases... view more

"EvalAnswer is a tool for automatically detecting different types of nonresponse in answers to openended questions. It was specifically developed for use in web probing procedures but it can be used in any online survey that asks open-ended questions. EvalAnswer automatically detects and codes cases of nonresponse and suggests follow-up questions which are tailored to reduce nonresponse. Once implemented in a survey, researchers have a powerful survey aid that helps to automatically increase data quality during the interview process by eliciting better answers to open-ended questions. Furthermore, the tool can be used in the post-processing of answers after data collection. The tool can be adapted to be used in one's own survey. This paper describes the survey methodology that led to developing the tool and it gives details on its validity and effectiveness." (author's abstract)... view less

Keywords
data quality; online survey; response behavior; data capture; data preparation

Classification
Methods and Techniques of Data Collection and Data Analysis, Statistical Methods, Computer Methods

Document language
English

Publication Year
2017

City
Köln

Page/Pages
28 p.

Series
GESIS Papers, 2017/01

DOI
https://doi.org/10.21241/ssoar.51100

ISSN
2364-3781

Licence
Creative Commons - Attribution-NonCommercial


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Based on DSpace, Copyright (c) 2002-2022, DuraSpace. All rights reserved.