Difficult wordings in VAAs. Predicting no-opinion and middle-response answers from question characteristics

Survey respondents have been shown to use both the middle-category response option and the no-opinion option to indicate that they do not understand a question. This mixing of the meaning of these response options is a validity problem, which is especially problematic for Voting Advice Applications (VAAs). In this type of political survey, users receive voting advice based on their answers to a list of political attitude questions. Kamoen and Holleman (2017) therefore predicted the occurrence of middle-response and no-opinion answers in VAA brand Kieskompas based on a set of question characteristics known to increase comprehension difficulties. The current study replicates that study for a different VAA brand (Stemwijzer) with a different type of response scale (a three-point scale instead of a five-point scale). In line with earlier findings, the choice for a middle-category answer or a no-opinion answer does not seem random: question characteristics associated with semantic meaning problems often result in no-opinion answers, whereas characteristics triggering pragmatic meaning problems are more frequently related to middle-category responses. This suggests that although both response options are used to express comprehension problems, there is – at the same time - a difference in their perceived meaning.

Publication Details

Journal
Research portal (Tilburg University)
Published
2025-08-27
Primary Topic
Geochemistry and Geologic Mapping
Type
article
Field-Weighted Citation Impact
0.00
Controls
|||
ALL TIME
JAN
FEB
MAR
APR
MAY
JUN
JUL
AUG
SEP
OCT
article

Difficult wordings in VAAs. Predicting no-opinion and middle-response answers from question characteristics

Research portal (Tilburg University)
Geochemistry and Geologic Mapping
article

Difficult wordings in VAAs. Predicting no-opinion and middle-response answers from question characteristics

article en

Abstract

Survey respondents have been shown to use both the middle-category response option and the no-opinion option to indicate that they do not understand a question. This mixing of the meaning of these response options is a validity problem, which is especially problematic for Voting Advice Applications (VAAs). In this type of political survey, users receive voting advice based on their answers to a list of political attitude questions. Kamoen and Holleman (2017) therefore predicted the occurrence of middle-response and no-opinion answers in VAA brand Kieskompas based on a set of question characteristics known to increase comprehension difficulties. The current study replicates that study for a different VAA brand (Stemwijzer) with a different type of response scale (a three-point scale instead of a five-point scale). In line with earlier findings, the choice for a middle-category answer or a no-opinion answer does not seem random: question characteristics associated with semantic meaning problems often result in no-opinion answers, whereas characteristics triggering pragmatic meaning problems are more frequently related to middle-category responses. This suggests that although both response options are used to express comprehension problems, there is – at the same time - a difference in their perceived meaning.

Research portal (Tilburg University)
Openalex Percentile: Top 36%
Geochemistry and Geologic Mapping
AI Navigator

Ask Laika to Summarize, Analyze, and Connect papers live on the map.

Summarize Papers & Methodologies

Extract key findings, datasets, and comparative methods across publications.

Benchmark Rankings & Visual Analytics

Rank top research institutions, authors, funders, topics, and journals by Field-Weighted Citation Impact (FWCI) and paper volume with instant charts.

Connect Distant Disciplines

Bridge topological clusters on the map to find hidden collaborative intersections.

Difficult wordings in VAAs. Predicting no-opinion and middle-response answers from question characteristics · Research portal (Tilburg University) (2025) | TGRS Research Map | TGRS