Table 1
By-item analysis. Spearman’s rank correlations (and number of role nouns) between the mean ratings per role noun between languages (above the diagonal) and between scale directions per language (on the diagonal).
| CHINESE (N =80) | FINNISH (N = 77) | RUSSIAN (N = 135) | |
|---|---|---|---|
| Chinese | .95* 420 | .83* 395 | .80* 418 |
| Finnish | .98* 396 | .84* 395 | |
| Russian | .97* 420 |
[i] * p < .001, number of role nouns differ due to different sized vocabularies.
Figure 1
Screenshot of scale anchors (English version, scale direction “women 100/0” to “0/100 men”).
| 3.2 FILE NAME | 3.3 DATA TYPE | 3.4 FORMAT | 3.5 LANGUAGE |
|---|---|---|---|
| Rolenounlists.pdf | Primary data | PDF/A | Chinese, English, Finnish, Russian |
| By-item_Results.pdf | Processed data | PDF/A | English |
| RawData_CN.csv | Primary data | CSV | Chinese, English |
| RawData_FI.csv | Primary data | CSV | English, Finnish |
| RawData_RU.csv | Primary data | CSV | English, Russian |
| CompleteAnalysis.rmd | R-code | RMD (R; R-Studio) | English |
| CompleteAnalysis.txt | R-code | TXT | English |