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The weighted kappa for CC categorization between two observers was 0.8980 (95% confidence interval: 0.8638 0.9322).
This consequently makes the categorization between adherents, networkers, and adventurers no longer suitable in analysing job search behaviour after 2003.
Once the verbatims (text fragments) were classified and ordered into different categories, we honed the categorization (between October and December 2016).
We assessed interrater agreement by calculation of the kappa coefficient and differences in categorization between both clinicians were resolved by discussion [10], [11].
Bowers and Jones [3] compared basic level categorization between dissimilar basic categories (dogs vs. buses) or very similar categories (dogs vs. cats).
With time-resolved brain data, we have shown that the left and right hemispheres cooperate to decorrelate the expressions for categorization between 140 to 200 ms following stimulus onset.
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This was a 2×2×2 mixed model design with Exposure (Pre-exposed vs. Control) and Instructions (Recognition vs. Categorization) as between-subjects factors and List (1 vs. 2) as a within-subject factor.
These data were entered into a 2×2×2 mixed model ANOVA with Exposure (Pre-exposed vs. Control) and Instructions (Recognition vs. Categorization) as between-subjects factors and List (1 vs. 2) as a within-subject factor.
We then analyzed the agreement of these categorizations between scores using weighted kappa statistics [ 34].
Categorizations between the two groups were compared for agreement aimed at identifying a common set of categories and their included attributes.
This shows very good agreement for all combinations of three scores performed by one observer (all coefficients are between 0.85 and 0.9 for data without categorization and between 0.7 and 0.85 for those categorized in grade I and between 0.73 and 1 for those categorized in grade II).
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