Prediction: Coalition Members Will be Categorized by Tenure Length As predicted, subjects implicitly categorized members by tenure length: The average categorization score was significantly greater than zero (M = 0.78, SD = 1.77, t53 = 3.24, one-tailed p = 0.001, r = 0.41).
The sample of forty social drinkers (20 per group: extinguished vs. non-extinguished) comprised 33% males with a mean age of 19 (sd = 1.92) and an Alcohol Use Disorder Identification Test (AUDIT) score of 7.8 (5.42), which is just below the hazardous categorization score of 8 (Babor, Higgins-Biddle, Saunders, & Monteiro, 2001).
Step 1. Derivation of the optimal categorization scoring system.
For each subject we calculate a single categorization score, which indexes the degree to which subjects implicitly categorize by the four tenure lengths.
We then subtract the corrected number of between-category confusions from the total number of within-category confusions to create a categorization score.
If subjects categorized along the dimension of tenure, categorization scores should be significantly greater than zero.
They were: Considering only targets who were newcomers, categorization scores for the male/female distinction were significantly greater than zero (M = 0.99, SD = 1.30, t54 = 5.64, one-tailed p < 0.001, r = 0.61).
Considering only targets who were veterans, categorization scores for the male/female distinction were also significantly greater than zero (M = 0.39, SD = 1.40, t54 = 2.07, one-tailed p = 0.022, r = 0.27).
Considering only targets who were veterans, categorization scores for the free rider/cooperator distinction were also significantly greater than zero (M = 0.58, SD = 1.50, t64 = 3.11, one-tailed p = 0.001, r = 0.36).
Indeed they were: Considering only targets who were newcomers, categorization scores for the free rider/cooperator distinction were significantly greater than zero (M = 0.52, SD = 1.57, t64 = 2.64, one-tailed p = 0.005, r = 0.31).
