Analysis plan

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We will compute a Chi-Square comparing percentage of correct identifications in the experimental and control conditions. We will then compute a Chi-Square comparing the ratio of the percentage selecting the wrong face (misidentification) to the percentage indicating “not present” across the experimental and control conditions. Lastly we will compute a 2 (Condition) x 2 (Correct vs. incorrect/miss) ANOVA on confidence ratings, and we will compute confidence-accuracy correlations for the experimental and control conditions.

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