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Industry-defining terminology from the authoritative consumer research platform.
Reliability in research refers to the consistency and stability of a measurement over time. A reliable study yields the same results when repeated under similar conditions, ensuring that findings are dependable and not influenced by random factors.
For example, if a company conducts a customer satisfaction survey and receives similar results each time, the survey is considered reliable.
Test-Retest Reliability | Measures consistency over time by repeating the same test. |
Inter-Rater Reliability | Ensures different researchers interpret responses similarly. |
Internal Consistency | Checks if different items in a survey measure the same concept. |
✅ Standardize survey wording and procedures.
✅ Use pilot testing to refine questions before full deployment.
✅ Train data collectors to ensure uniformity in administration.
⛔️ Changing survey wording or format between tests.
⛔️ Relying on a single test instance without verification.
⛔️ Failing to account for external variables that may impact responses.
Reliability is a cornerstone of high-quality research, ensuring that findings are consistent and replicable. By prioritizing reliability, businesses can confidently use research insights to inform strategic decisions.
Industry-defining terminology from the authoritative consumer research platform.