| Original language | English |
|---|---|
| Title of host publication | Encyclopedia of measurement in social sciences |
| Editors | Klaus Boehnke |
| Publisher | Elsevier |
| Number of pages | 11 |
| ISBN (Print) | 9780443266294 |
| Publication status | Accepted/In press - Jan 2026 |
Abstract
This article examines the concept and application of interval scales in social science research, highlighting their theoretical foundations, practical applications, methodological challenges, and emerging innovations. Key discussions include debates on Likert-scale assumptions, practical strategies for validating interval measures, and implications of technological advancements such as Big Data
and artificial intelligence. Recommendations emphasize rigorous validation, transparent reporting, and ethical considerations, outlining best practices for enhancing measurement accuracy and reliability. Ultimately, the article stresses the critical role of interval scaling in ensuring rigorous and impactful social science research.
and artificial intelligence. Recommendations emphasize rigorous validation, transparent reporting, and ethical considerations, outlining best practices for enhancing measurement accuracy and reliability. Ultimately, the article stresses the critical role of interval scaling in ensuring rigorous and impactful social science research.