Abstract
Reliability and measurement error are measurement properties that quantify the influence of specific sources of variation, such as raters, type of machine, or time, on the score of the individual measurement. Several designs can be chosen to assess reliability and measurement error of a measurement. Differences in design are due to specific choices about which sources of variation are varied over the repeated measurements in stable patients, which potential sources of variation are kept stable (ie, restricted), and about whether or not the entire measurement instrument (or measurement protocol) was repeated or only part of it. We explain how these choices determine how intraclass correlation coefficients and standard errors of measurement formulas are built for different designs by using Venn diagrams. Strategies for improving the measurement are explained, and recommendations for reporting the essentials of these studies are described. We hope that this paper will facilitate the understanding and improve the design, analysis, and reporting of future studies on reliability and measurement error of measurements.
Original language | English |
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Pages (from-to) | 193-212 |
Number of pages | 20 |
Journal | Patient Related Outcome Measures |
Volume | 14 |
Issue number | 1 |
DOIs | |
Publication status | Published - 2023 |
Keywords
- reliability
- measurement error
- classical test theory
- generalizability theory
- intraclass correlation coefficient
- standard error of measurement
- INTRACLASS CORRELATION-COEFFICIENTS
- HEALTH SURVEY
- AGREEMENT
- SF-36
- RATER