Summary information

Study title

Data sets and syntax for: "Meitinger, K. & Kunz, T. Visual Design and Cognition in List-Style Open-Ended Questions in Web Probing. Sociological Methods & Research”

Creator

Meitinger, Katharina ( Universiteit Utrecht)
Kunz, Tanja ( GESIS - Leibniz-Institut für Sozialwissenschaften)

Study number / PID

10.7802/2353 (GESIS)

10.7802/2353 (DOI)

Data access

Information not available

Series

Not available

Abstract

Data for the article "Visual Design and Cognition in List-Style Open-Ended Questions in Web Probing" (Meitinger & Kunz, forthcoming) published in Sociological Methods & Research

Abstract of article:
Previous research reveals that the visual design of open-ended questions should match the response task so that respondents can infer the expected response format. Based on a web survey including specific probesin a list-style open-ended question format, we experimentally tested the effects of varying numbers of answer boxes on several indicators of response quality. Our results showed that using multiple small answer boxes instead of one large box had a positive impact on the number and variety of themes mentioned, as well as on the conciseness of responses to specific probes. We found no effect on the relevance of themes and the risk of item non-response. Based on our findings, we recommend using multiple small answer boxes instead of one large box to convey the expected response format and improve response quality in specific probes. This study makes a valuable contribution to the field of web probing, extends the concept of response quality in list-style open-ended questions, and provides a deeper understanding of how visual design features affect cognitive response processes in web surveys.

Topics

Not available

Methodology

Data collection period

01/11/2017

Country

Deutschland

Time dimension

Cross-section

Analysis unit

Not available

Universe

German internet population

Sampling procedure

Nicht-WahrscheinlichkeitsauswahI - Quotenstichprobe

Kind of data

Not available

Data collection mode

Selbstausfüller:CAWI(Computerunterstütztes Web-Interview)

Access

Publisher

GESIS Data Archive for the Social Sciences

Publication year

2021

Terms of data access

Free access (without registration) - The research data can be downloaded directly by anyone without further limitations. CC BY-NC-SA 4.0: Namensnennung - Nicht kommerziell – Weitergabe unter gleichen Bedingungen (https://creativecommons.org/licenses/by-nc-sa/4.0/deed.de)

Related publications

Not available