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Cognitive burden of survey questions and response times: a psycholinguistic experiment

[journal article]

Lenzner, Timo
Kaczmirek, Lars
Lenzner, Alwine

Abstract

An important objective in survey question design is to write clear questions that respondents find easy to understand and to answer. This contribution identifies the factors that influence question clarity. Theoretical and empirical evidence from psycholinguistics suggests that specific text feature... view more

An important objective in survey question design is to write clear questions that respondents find easy to understand and to answer. This contribution identifies the factors that influence question clarity. Theoretical and empirical evidence from psycholinguistics suggests that specific text features (e.g., low-frequency words, left-embedded syntax) cause comprehension difficulties and impose a high cognitive burden on respondents. To examine the effect of seven different text features on question clarity, an online experiment was conducted in which well-formulated questions were compared to suboptimal counterparts. The cognitive burden of the questions was assessed with response times. Data quality was compared in terms of drop-out rates and survey satisficing behavior. The results show that at least six of the text features are relevant for the clarity of a question. We provide a detailed explanation of these text features and advise survey designers to avoid them when crafting questions.... view less

Keywords
cognition; survey; language; questionnaire; data quality; psycholinguistics; response behavior; survey research; understanding

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

Document language
English

Publication Year
2010

Page/Pages
p. 1003-1020

Journal
Applied Cognitive Psychology, 24 (2010) 7

DOI
https://doi.org/10.1002/acp.1602

ISSN
1099-0720

Status
Preprint; peer reviewed

Licence
Deposit Licence - No Redistribution, No Modifications


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© 2007 - 2025 Social Science Open Access Repository (SSOAR).
Based on DSpace, Copyright (c) 2002-2022, DuraSpace. All rights reserved.