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Cognitive measures of emotional processes are widely used in the investigation of emotional disorders. An often neglected, yet important, issue with cognitive assessment in psychology is the internal consistency, or reliability, of task outcomes. While it is common practice to report the internal reliability of questionnaire measures in psychology, it is the exception rather than the rule to report task reliability for cognitive measures (Gawronski, Deutsch, & Banse, 2011). Given that the internal consistency of a measure directly influences the precision of our statistical analyses and therefore the confidence we can place in our results, we recommend that researchers routinely estimate and report the internal consistency of their cognitive-affective measures. We describe several useful tools that have been developed for this purpose. We propose that the practice of routinely reporting the internal consistency of our measures will significantly improve the development of measures and researchers ability to assess the robustness of empirical findings in affective science.
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