# The semantic differential questionnaire format warrants consideration for use in healthcare settings

**Authors:** Ariel Pons, Kate Sneddon, Gillian Whalley, Crispin Jenkinson, David Morley, Sean Coffey

PMC · DOI: 10.1007/s11136-026-04198-9 · Quality of Life Research · 2026-03-08

## TL;DR

The study explores using semantic differential questionnaires to measure quality of life in heart valve disease patients, finding the format effective and easy to use.

## Contribution

The paper introduces a novel method for constructing semantic differential items for health-related quality of life assessments.

## Key findings

- 64 semantic differential items were successfully generated for pilot testing.
- Participants reported no difficulties with the semantic differential format.
- The format shows potential for improving quality of life research in healthcare.

## Abstract

Semantic differential scales, in which respondents rate their relative agreement between two opposing statements, are rarely used in assessment of health related quality of life (QOL). Here we present a use-case study describing our experiences constructing such a scale, part of a larger project to generate a questionnaire, the VALVQ, to measure QOL in heart valve disease (HVD).

Individuals with HVD were identified from echocardiographic databases. Initial questionnaire content was generated from semi-structured interviews with 34 individuals with HVD as well as three family members and five clinical experts. Four methods were used to generate semantic differential items. Firstly, two participants could give opposing points, allowing an item to be generated directly. Secondly, a participant could report a single experience at one extreme, with the research team generating the opposing statement. Thirdly, a participant could report an experience in the middle of two extremes, with two opposing statement generated by the research team. Finally, subtly different items were generated where an obvious corresponding item was not clear, allowing for future psychometric testing to examine item robustness. 64 semantic differential items were generated for pilot testing. 46 valid completed questionnaires were returned. Multiple items required changes due to phrasing of the item content, but no difficulties were reported with the semantic differential format.

The semantic differential scale can be considered for health related QOL research. Further head-to-head comparisons with the more common Likert format will allow assessment of differences in respondent biases between these questionnaire formats.

The online version contains supplementary material available at 10.1007/s11136-026-04198-9.

In medical research, measuring people’s quality of life is important to guide treatment. However, measuring an abstract concept like quality of life is difficult, and using a questionnaire that is not designed suitably could cause researchers to come to wrong conclusions. There’s a format for questionnaires called the ‘semantic differential’: instead of having one statement that people rate their agreement with, it has two opposing statements that people rate their agreement between. We think this format could be beneficial for improving questionnaire quality when measuring quality of life. However, since this format isn’t commonly used, there isn’t much guidance on how to make a questionnaire using one. We developed a semantic differential questionnaire to measure quality of life in patients with heart valve disease, and we found it worked well; we were able to make one without problems, and the people who tested the questionnaire had no problems with the format. We share our process of making our questionnaire, so that other researchers can have a starting point for developing semantic differential questionnaires of their own.

The online version contains supplementary material available at 10.1007/s11136-026-04198-9.

## Full-text entities

- **Diseases:** HVD (MESH:D006349), pain (MESH:D010146), valvular stenosis (MESH:D011666), MR (MESH:D008944), AS (MESH:D001024), COPD (MESH:D029424), fatigue (MESH:D005221), COVID-19 (MESH:D000086382), atrial fibrillation (MESH:D001281), atrial fibrillation/flutter (MESH:D001282), terminal illness (MESH:D007153), tired (MESH:C537575), cognitive/mental impairment (MESH:D003072), Rheumatic heart disease (MESH:D012214), TIA (MESH:D002546), Ischaemic heart disease (MESH:D006331), Coronary artery disease (MESH:D003324)
- **Chemicals:** VALVQ (-)
- **Species:** Homo sapiens (human, species) [taxon 9606]

## Full text

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## Figures

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## References

3 references — full list in the complete paper: https://tomesphere.com/paper/PMC12968091/full.md

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Source: https://tomesphere.com/paper/PMC12968091