Editorial Open Access

Common statistical analysis Errors: Measures of agreement

Abstract

The extent of conformity across two (or more) sets of data is referred to as measurement agreement. To examine inter-rater variability or determine if one methodology for measuring a variable may replace another, quantitative tools for testing agreements are now used. Frequently, people want to know if measurements taken by two (or more) distinct observers or using two different procedures generate similar results. This is referred to as measured agreement, congruence, or repeatability. This type of analysis looked at pairings of measures, either categorized or quantitative, that were taken on the same person

 Rachel Sandners

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