Sentence examples for differences in the categorization from inspiring English sources

Exact(6)

This inconsistency may be due to different definitions of physical activity but also to differences in the categorization of the psychosocial work characteristics.

Our data also suggest regional differences in the categorization of words as other emotions.

While there has been some anthropological work done by, for example, Catherine Lutz on the differences in the categorization of specific emotions across cultures, there is the possibility that the category as a whole might not translate into all cultures (see Danziger 1997).

These differences are likely due to differences in the categorization of maternal deaths.

The Expression categorization task was created to assess age-dependent differences in the categorization of emotional expressions.

Discrepancies in the percentage of full-time employees in the occupation categories between the two surveys are probably due to the slight differences in the categorization of workers.a There are two potential sources of selection bias in the chosen sample.

Similar(54)

There was no significant difference in the categorization rates of patients with aggression between the DSM-IV subtypes.

Data from six participants were excluded from group analysis due to lack of improvement in nonphonemic categorization with training, as indicated by a negative value for the difference in the nonphonemic categorization index (CI) after relative to before training (PostCINP − PreCINP < 0; five participants) or a negative value for the nonphonemic CI after training (PostCINP < 0; two participants).

Comparisons of activity at injury with previous studies are difficult because of differences in the manner of categorization.

Our analysis was done independently from Blount et al., so these differences are likely related to differences in the definitions and categorization of some variables (e.g., postmenopause or premenarche status), the use of different statistical programs, and different methods of selecting independent variables to remain in the final regression models.

The large number of cases with unknown race and ethnicity can partly be attributed to differences in the collection and categorization of race and ethnicity across providers (who often combined race and ethnicity) compared with the categories we used in our project (which separate race and ethnicity).

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