Sentence examples for categorization score from inspiring English sources

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).

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.

They were not: Considering only targets who were free riders, the categorization score for tenure was not significantly greater than zero (M = 0.05, SD = 1.67, t64 = 0.26, one-tailed p = 0.398, r = 0.03).

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).

If subjects categorized along the dimension of tenure, categorization scores should be significantly greater than zero.

Likewise, despite a diversity of novice explanation and card sort patterns (as noted above), experts displayed significantly higher evolution problem categorization scores and evolution problem solving scores.

Higher categorization scores imply stronger categorization by tenure.

For each subject, we calculated four separate categorization scores.

Step 1. Derivation of the optimal categorization scoring system.

As before, categorization is evident when categorization scores are significantly greater than zero.