Related Experiment Videos
[Straying in the methodology. II. Bias introduced by questionnaires]
F Pouwer1, H M van der Ploeg, I Bramsen
1Vrije Universiteit, faculteit Geneeskunde, Amsterdam.
Nederlands Tijdschrift Voor Geneeskunde
|October 9, 1998
Summary
Self-report questionnaires can introduce response bias, leading to imprecise measurements due to systematic errors. Understanding factors like question wording and social desirability is key to mitigating this measurement bias.
Area of Science:
- Psychometrics
- Survey Methodology
- Measurement Bias
Background:
- Self-report questionnaires are widely used in research.
- Response characteristics can introduce systematic errors, impacting measurement accuracy.
- Understanding sources of bias is crucial for valid data collection.
Purpose of the Study:
- To identify and describe common sources of response bias in self-report questionnaires.
- To highlight the impact of these biases on the precision of measurement.
- To inform researchers about potential pitfalls in questionnaire design and administration.
Main Methods:
- Literature review of factors contributing to response bias.
- Analysis of measurement errors stemming from questionnaire characteristics.
- Categorization of bias sources including item wording, social factors, and memory effects.
Main Results:
- Identified key sources of bias: unclear instructions, vague wording, culture-bound content, suggestive/framed questions.
- Highlighted social desirability, faking good/bad, and recall bias as significant contributors.
- Demonstrated how these factors lead to systematic errors and imprecise measurements.
Conclusions:
- Response bias in self-report questionnaires is a significant threat to measurement validity.
- Awareness of potential biases is essential for improving questionnaire design and data interpretation.
- Strategies to mitigate bias should be considered during instrument development and validation.