A naukri.com initiative
UX Tweak
1M
126
Image Credit: UX Tweak
Triangulation in Qualitative Research 101: How to Limit UXR Bias
- Bias in research can lead to misleading conclusions and impact decision-making, but triangulation can help limit bias and enhance research authenticity and validity.
- Triangulation involves using multiple sources and methodologies to validate research findings, ensuring insights are not overly influenced by biases.
- Triangulation helps in cross-verifying data, removing biases in qualitative research, and providing diverse perspectives for a more rounded analysis.
- Different types of triangulation include data triangulation, methodological triangulation, investigator triangulation, and theory triangulation, each aiding in strengthening research trustworthiness.
- Mixed methods research integrates quantitative and qualitative data to provide a more comprehensive understanding, beneficial especially when one methodology alone may not suffice.
- Triangulation in qualitative UX research involves parallel research, assigning confidence levels to data sources, and focusing on quality over quantity to extract meaningful insights.
- Tools like UXtweak can aid in well-triangulated research studies by integrating multiple research methods and providing insights for more informed decision-making.
- In summary, triangulation is essential for producing accurate and trustworthy research findings in UX, leading to better design decisions and user experiences.
Read Full Article
7 Likes
For uninterrupted reading, download the app