Proportional reduction in loss

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Proportional reduction in loss (PRL) is a measure for data reliability (statistics) may be derived or evaluated. It was proposed by Bruce Cooil and Roland T. Rust in their 1994 paper. This measure is applicable when a researcher wants to assess the consensus between judges who are asked to code a number of items into mutually exclusive qualitative categories.

[edit] References

1. Cooil, B., and Rust, R. T. (1994), "Reliability and Expected Loss: A Unifying Principle," Psychometrika, 59, 203-216. (available here )

2. Rust, R. T., and Cooil, B. (1994), "Reliability Measures for Qualitative Data: Theory and Implications," Journal of Marketing Research, 31(1), 1-14. (available here)

3. Cooil, B., and Rust, R. T. (1995), "General Estimators for the Reliability of Qualitative Data," Psychometrika, 60, 199-220. (available here)