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(2022)","mean":4.05,"note":"Table 1 \u043e\u043f\u0438\u0441\u043e\u0432\u0438\u0445 \u0441\u0442\u0430\u0442\u0438\u0441\u0442\u0438\u043a; \u043d\u0435 \u0440\u0435\u043f\u0440\u0435\u0437\u0435\u043d\u0442\u0430\u0442\u0438\u0432\u043d\u0430 \u043d\u043e\u0440\u043c\u0430, scalar invariance \u043c\u0456\u0436 \u043a\u0440\u0430\u0457\u043d\u0430\u043c\u0438 \u043d\u0435 \u043f\u0456\u0434\u0442\u0432\u0435\u0440\u0434\u0436\u0435\u043d\u0430.","sample_size":799,"scale_slug":"benign-envy","score_unit":"mean_5_items_1_6","sd":1.08,"source_citation":"","source_url":"https://doi.org/10.1007/s12144-020-00802-4"},{"age_range":"MTurk, 59% \u0436\u0456\u043d\u043e\u043a, \u043f\u0440\u0438\u0431\u043b\u0438\u0437\u043d\u043e 30-\u0442\u0456 \u0440\u043e\u043a\u0438","label":"\u0421\u0428\u0410, Kwiatkowska et al. (2022)","mean":2.46,"note":"Table 1 \u043e\u043f\u0438\u0441\u043e\u0432\u0438\u0445 \u0441\u0442\u0430\u0442\u0438\u0441\u0442\u0438\u043a; \u043d\u0435 \u0440\u0435\u043f\u0440\u0435\u0437\u0435\u043d\u0442\u0430\u0442\u0438\u0432\u043d\u0430 \u043d\u043e\u0440\u043c\u0430, scalar invariance \u043c\u0456\u0436 \u043a\u0440\u0430\u0457\u043d\u0430\u043c\u0438 \u043d\u0435 \u043f\u0456\u0434\u0442\u0432\u0435\u0440\u0434\u0436\u0435\u043d\u0430.","sample_size":799,"scale_slug":"malicious-envy","score_unit":"mean_5_items_1_6","sd":1.13,"source_citation":"","source_url":"https://doi.org/10.1007/s12144-020-00802-4"},{"age_range":"\u0421\u0442\u0443\u0434\u0435\u043d\u0442\u0438, 65% \u0436\u0456\u043d\u043e\u043a","label":"\u041d\u0456\u043c\u0435\u0447\u0447\u0438\u043d\u0430, Kwiatkowska et al. (2022)","mean":3.59,"note":"Table 1 \u043e\u043f\u0438\u0441\u043e\u0432\u0438\u0445 \u0441\u0442\u0430\u0442\u0438\u0441\u0442\u0438\u043a; \u043d\u0435 \u0440\u0435\u043f\u0440\u0435\u0437\u0435\u043d\u0442\u0430\u0442\u0438\u0432\u043d\u0430 \u043d\u043e\u0440\u043c\u0430.","sample_size":558,"scale_slug":"benign-envy","score_unit":"mean_5_items_1_6","sd":1.02,"source_citation":"","source_url":"https://doi.org/10.1007/s12144-020-00802-4"},{"age_range":"\u0421\u0442\u0443\u0434\u0435\u043d\u0442\u0438, 65% \u0436\u0456\u043d\u043e\u043a","label":"\u041d\u0456\u043c\u0435\u0447\u0447\u0438\u043d\u0430, Kwiatkowska et al. (2022)","mean":2.06,"note":"Table 1 \u043e\u043f\u0438\u0441\u043e\u0432\u0438\u0445 \u0441\u0442\u0430\u0442\u0438\u0441\u0442\u0438\u043a; \u043d\u0435 \u0440\u0435\u043f\u0440\u0435\u0437\u0435\u043d\u0442\u0430\u0442\u0438\u0432\u043d\u0430 \u043d\u043e\u0440\u043c\u0430.","sample_size":558,"scale_slug":"malicious-envy","score_unit":"mean_5_items_1_6","sd":0.92,"source_citation":"","source_url":"https://doi.org/10.1007/s12144-020-00802-4"},{"age_range":"18\u201335 \u0440\u043e\u043a\u0456\u0432; M=19.53, SD=1.89; 62% \u0436\u0456\u043d\u043e\u043a","label":"\u0420\u043e\u0441\u0456\u044f, Kwiatkowska et al. (2022)","mean":3.7,"note":"Table 1 \u043e\u043f\u0438\u0441\u043e\u0432\u0438\u0445 \u0441\u0442\u0430\u0442\u0438\u0441\u0442\u0438\u043a; \u043d\u0435 \u0440\u0435\u043f\u0440\u0435\u0437\u0435\u043d\u0442\u0430\u0442\u0438\u0432\u043d\u0430 \u043d\u043e\u0440\u043c\u0430.","sample_size":708,"scale_slug":"benign-envy","score_unit":"mean_5_items_1_6","sd":1.23,"source_citation":"","source_url":"https://doi.org/10.1007/s12144-020-00802-4"},{"age_range":"18\u201335 \u0440\u043e\u043a\u0456\u0432; M=19.53, SD=1.89; 62% \u0436\u0456\u043d\u043e\u043a","label":"\u0420\u043e\u0441\u0456\u044f, Kwiatkowska et al. (2022)","mean":1.75,"note":"Table 1 \u043e\u043f\u0438\u0441\u043e\u0432\u0438\u0445 \u0441\u0442\u0430\u0442\u0438\u0441\u0442\u0438\u043a; \u043d\u0435 \u0440\u0435\u043f\u0440\u0435\u0437\u0435\u043d\u0442\u0430\u0442\u0438\u0432\u043d\u0430 \u043d\u043e\u0440\u043c\u0430.","sample_size":708,"scale_slug":"malicious-envy","score_unit":"mean_5_items_1_6","sd":1.01,"source_citation":"","source_url":"https://doi.org/10.1007/s12144-020-00802-4"},{"age_range":"18\u201335 \u0440\u043e\u043a\u0456\u0432; M=22.19, SD=2.54; 69% \u0436\u0456\u043d\u043e\u043a","label":"\u041f\u043e\u043b\u044c\u0449\u0430, Kwiatkowska et al. (2022)","mean":3.89,"note":"Table 1 \u043e\u043f\u0438\u0441\u043e\u0432\u0438\u0445 \u0441\u0442\u0430\u0442\u0438\u0441\u0442\u0438\u043a; \u043d\u0435 \u0440\u0435\u043f\u0440\u0435\u0437\u0435\u043d\u0442\u0430\u0442\u0438\u0432\u043d\u0430 \u043d\u043e\u0440\u043c\u0430.","sample_size":727,"scale_slug":"benign-envy","score_unit":"mean_5_items_1_6","sd":1.17,"source_citation":"","source_url":"https://doi.org/10.1007/s12144-020-00802-4"},{"age_range":"18\u201335 \u0440\u043e\u043a\u0456\u0432; M=22.19, SD=2.54; 69% \u0436\u0456\u043d\u043e\u043a","label":"\u041f\u043e\u043b\u044c\u0449\u0430, Kwiatkowska et al. (2022)","mean":2.39,"note":"Table 1 \u043e\u043f\u0438\u0441\u043e\u0432\u0438\u0445 \u0441\u0442\u0430\u0442\u0438\u0441\u0442\u0438\u043a; \u043d\u0435 \u0440\u0435\u043f\u0440\u0435\u0437\u0435\u043d\u0442\u0430\u0442\u0438\u0432\u043d\u0430 \u043d\u043e\u0440\u043c\u0430.","sample_size":727,"scale_slug":"malicious-envy","score_unit":"mean_5_items_1_6","sd":1.02,"source_citation":"","source_url":"https://doi.org/10.1007/s12144-020-00802-4"},{"age_range":"M \u0432\u0456\u043a\u0443=19.88, SD=4.68","label":"\u042f\u043f\u043e\u043d\u0456\u044f, Inoue & Yokota (2022), \u0441\u0442\u0443\u0434\u0435\u043d\u0442\u0438, urayamashii","mean":3.66,"note":"Urayamashii wording had better model fit than netamashii; M/SD are descriptive, not norms.","sample_size":194,"scale_slug":"benign-envy","score_unit":"mean_5_items_1_6","sd":0.93,"source_citation":"","source_url":"https://doi.org/10.1186/s42409-022-00034-1"},{"age_range":"M \u0432\u0456\u043a\u0443=19.88, SD=4.68","label":"\u042f\u043f\u043e\u043d\u0456\u044f, Inoue & Yokota (2022), \u0441\u0442\u0443\u0434\u0435\u043d\u0442\u0438, urayamashii","mean":2.52,"note":"Urayamashii wording had better model fit than netamashii; M/SD are descriptive, not norms.","sample_size":194,"scale_slug":"malicious-envy","score_unit":"mean_5_items_1_6","sd":1.09,"source_citation":"","source_url":"https://doi.org/10.1186/s42409-022-00034-1"},{"age_range":"M \u0432\u0456\u043a\u0443=39.63, SD=10.76","label":"\u042f\u043f\u043e\u043d\u0456\u044f, Inoue & Yokota (2022), \u043d\u0435 \u0441\u0442\u0443\u0434\u0435\u043d\u0442\u0438, urayamashii","mean":2.67,"note":"Non-students answered either urayamashii or netamashii version; exact n per wording is not exposed in article text.","sample_size":"N=232 split across wordings","scale_slug":"benign-envy","score_unit":"mean_5_items_1_6","sd":1.02,"source_citation":"","source_url":"https://doi.org/10.1186/s42409-022-00034-1"},{"age_range":"M \u0432\u0456\u043a\u0443=39.63, SD=10.76","label":"\u042f\u043f\u043e\u043d\u0456\u044f, Inoue & Yokota (2022), \u043d\u0435 \u0441\u0442\u0443\u0434\u0435\u043d\u0442\u0438, urayamashii","mean":3.17,"note":"Non-students answered either urayamashii or netamashii version; exact n per wording is not exposed in article text.","sample_size":"N=232 split across wordings","scale_slug":"malicious-envy","score_unit":"mean_5_items_1_6","sd":0.96,"source_citation":"","source_url":"https://doi.org/10.1186/s42409-022-00034-1"},{"age_range":"17\u201355 \u0440\u043e\u043a\u0456\u0432; 68% \u0436\u0456\u043d\u043e\u043a","label":"\u0420\u043e\u0441\u0456\u0439\u0441\u044c\u043a\u0430 \u0430\u0434\u0430\u043f\u0442\u0430\u0446\u0456\u044f, \u041b\u044e\u0441\u0438\u043d \u0456 \u0410\u043c\u0438\u0440\u0430\u0441\u043b\u0430\u043d\u043e\u0432\u0430 (2022)","mean":4.152,"note":"\u041a\u043e\u043d\u0432\u0435\u0440\u0442\u043e\u0432\u0430\u043d\u043e \u0437 raw-sum Table 3: M=20.76, SD=5.75. \u041f\u043e\u043f\u0435\u0440\u0435\u0434\u043d\u044f \u0430\u0434\u0430\u043f\u0442\u0430\u0446\u0456\u0439\u043d\u0430 \u0432\u0438\u0431\u0456\u0440\u043a\u0430, \u043d\u0435 \u0440\u0435\u043f\u0440\u0435\u0437\u0435\u043d\u0442\u0430\u0442\u0438\u0432\u043d\u0430 \u043d\u043e\u0440\u043c\u0430.","sample_size":254,"scale_slug":"benign-envy","score_unit":"mean_5_items_1_6","sd":1.15,"source_citation":"","source_url":"https://doi.org/10.54359/ps.v15i84.1197"},{"age_range":"17\u201355 \u0440\u043e\u043a\u0456\u0432; 68% \u0436\u0456\u043d\u043e\u043a","label":"\u0420\u043e\u0441\u0456\u0439\u0441\u044c\u043a\u0430 \u0430\u0434\u0430\u043f\u0442\u0430\u0446\u0456\u044f, \u041b\u044e\u0441\u0438\u043d \u0456 \u0410\u043c\u0438\u0440\u0430\u0441\u043b\u0430\u043d\u043e\u0432\u0430 (2022)","mean":1.808,"note":"\u041a\u043e\u043d\u0432\u0435\u0440\u0442\u043e\u0432\u0430\u043d\u043e \u0437 raw-sum Table 3: M=9.04, SD=4.38. \u041f\u043e\u043f\u0435\u0440\u0435\u0434\u043d\u044f \u0430\u0434\u0430\u043f\u0442\u0430\u0446\u0456\u0439\u043d\u0430 \u0432\u0438\u0431\u0456\u0440\u043a\u0430, \u043d\u0435 \u0440\u0435\u043f\u0440\u0435\u0437\u0435\u043d\u0442\u0430\u0442\u0438\u0432\u043d\u0430 \u043d\u043e\u0440\u043c\u0430.","sample_size":254,"scale_slug":"malicious-envy","score_unit":"mean_5_items_1_6","sd":0.876,"source_citation":"","source_url":"https://doi.org/10.54359/ps.v15i84.1197"},{"age_range":"18\u201326 \u0440\u043e\u043a\u0456\u0432; M=20.63, SD=1.85; 142 \u0447\u043e\u043b\u043e\u0432\u0456\u043a\u0438, 284 \u0436\u0456\u043d\u043a\u0438","label":"\u041a\u0438\u0442\u0430\u0439, Xiang et al. (2018), undergraduates","mean":4.688,"note":"\u041a\u043e\u043d\u0432\u0435\u0440\u0442\u043e\u0432\u0430\u043d\u043e \u0437 raw-sum Table 1: M=23.44, SD=3.68. \u03b1=.73. \u041e\u043f\u0438\u0441\u043e\u0432\u0430 \u0441\u0442\u0443\u0434\u0435\u043d\u0442\u0441\u044c\u043a\u0430 \u0432\u0438\u0431\u0456\u0440\u043a\u0430, \u043d\u0435 \u043d\u043e\u0440\u043c\u0430/cutoff.","sample_size":426,"scale_slug":"benign-envy","score_unit":"mean_5_items_1_6","sd":0.736,"source_citation":"","source_url":"https://doi.org/10.3389/fpsyt.2018.00139"},{"age_range":"18\u201326 \u0440\u043e\u043a\u0456\u0432; M=20.63, SD=1.85; 142 \u0447\u043e\u043b\u043e\u0432\u0456\u043a\u0438, 284 \u0436\u0456\u043d\u043a\u0438","label":"\u041a\u0438\u0442\u0430\u0439, Xiang et al. (2018), undergraduates","mean":2.368,"note":"\u041a\u043e\u043d\u0432\u0435\u0440\u0442\u043e\u0432\u0430\u043d\u043e \u0437 raw-sum Table 1: M=11.84, SD=4.73. \u03b1=.85. \u041e\u043f\u0438\u0441\u043e\u0432\u0430 \u0441\u0442\u0443\u0434\u0435\u043d\u0442\u0441\u044c\u043a\u0430 \u0432\u0438\u0431\u0456\u0440\u043a\u0430, \u043d\u0435 \u043d\u043e\u0440\u043c\u0430/cutoff.","sample_size":426,"scale_slug":"malicious-envy","score_unit":"mean_5_items_1_6","sd":0.946,"source_citation":"","source_url":"https://doi.org/10.3389/fpsyt.2018.00139"},{"age_range":"16\u201324 \u0440\u043e\u043a\u0438; M=18.53, SD=2.05; 45.1% \u0447\u043e\u043b\u043e\u0432\u0456\u043a\u0456\u0432","label":"\u041a\u0438\u0442\u0430\u0439, Yang & Tang (2021), Study 1","mean":4.062,"note":"\u041a\u043e\u043d\u0432\u0435\u0440\u0442\u043e\u0432\u0430\u043d\u043e \u0437 raw-sum Table 1: M=20.31, SD=4.74. \u03b1=.86. \u041e\u043f\u0438\u0441\u043e\u0432\u0430 \u0441\u0442\u0443\u0434\u0435\u043d\u0442\u0441\u044c\u043a\u0430 \u0432\u0438\u0431\u0456\u0440\u043a\u0430, \u043d\u0435 \u043d\u043e\u0440\u043c\u0430/cutoff.","sample_size":466,"scale_slug":"benign-envy","score_unit":"mean_5_items_1_6","sd":0.948,"source_citation":"","source_url":"https://doi.org/10.3389/fpsyg.2021.731451"},{"age_range":"16\u201324 \u0440\u043e\u043a\u0438; M=18.53, SD=2.05; 45.1% \u0447\u043e\u043b\u043e\u0432\u0456\u043a\u0456\u0432","label":"\u041a\u0438\u0442\u0430\u0439, Yang & Tang (2021), Study 1","mean":2.268,"note":"\u041a\u043e\u043d\u0432\u0435\u0440\u0442\u043e\u0432\u0430\u043d\u043e \u0437 raw-sum Table 1: M=11.34, SD=4.89. \u03b1=.82. \u041e\u043f\u0438\u0441\u043e\u0432\u0430 \u0441\u0442\u0443\u0434\u0435\u043d\u0442\u0441\u044c\u043a\u0430 \u0432\u0438\u0431\u0456\u0440\u043a\u0430, \u043d\u0435 \u043d\u043e\u0440\u043c\u0430/cutoff.","sample_size":466,"scale_slug":"malicious-envy","score_unit":"mean_5_items_1_6","sd":0.978,"source_citation":"","source_url":"https://doi.org/10.3389/fpsyg.2021.731451"},{"age_range":"M=20.56, SD=1.88; 51% \u0447\u043e\u043b\u043e\u0432\u0456\u043a\u0456\u0432","label":"\u041a\u0438\u0442\u0430\u0439, Yang & Tang (2021), Study 2","mean":4.508,"note":"\u041a\u043e\u043d\u0432\u0435\u0440\u0442\u043e\u0432\u0430\u043d\u043e \u0437 raw-sum Table 3: M=22.54, SD=3.44. \u03b1=.78. \u041d\u0435\u0432\u0435\u043b\u0438\u043a\u0430 \u0435\u043a\u0441\u043f\u0435\u0440\u0438\u043c\u0435\u043d\u0442\u0430\u043b\u044c\u043d\u0430 \u0441\u0442\u0443\u0434\u0435\u043d\u0442\u0441\u044c\u043a\u0430 \u0432\u0438\u0431\u0456\u0440\u043a\u0430, \u043d\u0435 \u043d\u043e\u0440\u043c\u0430/cutoff.","sample_size":102,"scale_slug":"benign-envy","score_unit":"mean_5_items_1_6","sd":0.688,"source_citation":"","source_url":"https://doi.org/10.3389/fpsyg.2021.731451"},{"age_range":"M=20.56, SD=1.88; 51% \u0447\u043e\u043b\u043e\u0432\u0456\u043a\u0456\u0432","label":"\u041a\u0438\u0442\u0430\u0439, Yang & Tang (2021), Study 2","mean":1.978,"note":"\u041a\u043e\u043d\u0432\u0435\u0440\u0442\u043e\u0432\u0430\u043d\u043e \u0437 raw-sum Table 3: M=9.89, SD=3.79. \u03b1=.72. \u041d\u0435\u0432\u0435\u043b\u0438\u043a\u0430 \u0435\u043a\u0441\u043f\u0435\u0440\u0438\u043c\u0435\u043d\u0442\u0430\u043b\u044c\u043d\u0430 \u0441\u0442\u0443\u0434\u0435\u043d\u0442\u0441\u044c\u043a\u0430 \u0432\u0438\u0431\u0456\u0440\u043a\u0430, \u043d\u0435 \u043d\u043e\u0440\u043c\u0430/cutoff.","sample_size":102,"scale_slug":"malicious-envy","score_unit":"mean_5_items_1_6","sd":0.758,"source_citation":"","source_url":"https://doi.org/10.3389/fpsyg.2021.731451"},{"age_range":"20\u201347 \u0440\u043e\u043a\u0456\u0432; M=27.34, SD=6.85; 78.7% \u0436\u0456\u043d\u043e\u043a","label":"\u0412'\u0454\u0442\u043d\u0430\u043c, Truong et al. (2022), Study 2","mean":4.24,"note":"Study 2 scale scores were averages of items; \u03b1=.87, \u03c9=.87. Study 1 publishes item-level M/SD only, so no scale M/SD row is derived from it.","sample_size":299,"scale_slug":"benign-envy","score_unit":"mean_5_items_1_6","sd":1.27,"source_citation":"","source_url":"https://doi.org/10.4473/TPM29.2.5"},{"age_range":"20\u201347 \u0440\u043e\u043a\u0456\u0432; M=27.34, SD=6.85; 78.7% \u0436\u0456\u043d\u043e\u043a","label":"\u0412'\u0454\u0442\u043d\u0430\u043c, Truong et al. (2022), Study 2","mean":2.2,"note":"Study 2 scale scores were averages of items; \u03b1=.89, \u03c9=.89. Study 1 publishes item-level M/SD only, so no scale M/SD row is derived from it.","sample_size":299,"scale_slug":"malicious-envy","score_unit":"mean_5_items_1_6","sd":1.1,"source_citation":"","source_url":"https://doi.org/10.4473/TPM29.2.5"}],"scales":[{"description":"","interpretation_bands":[],"label":"\u0414\u043e\u0431\u0440\u043e\u044f\u043a\u0456\u0441\u043d\u0430 \u0437\u0430\u0437\u0434\u0440\u0456\u0441\u0442\u044c","norm_mean":null,"norm_sd":null,"question_ids":["bemas-01","bemas-03","bemas-04","bemas-07","bemas-09"],"score_mode":"mean","score_multiplier":1.0,"score_norms":[],"score_range":{"max":6,"min":1,"possible_scores":[1,1.2,1.4,1.6,1.8,2,2.2,2.4,2.6,2.8,3,3.2,3.4,3.6,3.8,4,4.2,4.4,4.6,4.8,5,5.2,5.4,5.6,5.8,6],"step":0.2},"scoring_note":"","slug":"benign-envy"},{"description":"","interpretation_bands":[],"label":"\u0417\u043b\u043e\u044f\u043a\u0456\u0441\u043d\u0430 \u0437\u0430\u0437\u0434\u0440\u0456\u0441\u0442\u044c","norm_mean":null,"norm_sd":null,"question_ids":["bemas-02","bemas-05","bemas-06","bemas-08","bemas-10"],"score_mode":"mean","score_multiplier":1.0,"score_norms":[],"score_range":{"max":6,"min":1,"possible_scores":[1,1.2,1.4,1.6,1.8,2,2.2,2.4,2.6,2.8,3,3.2,3.4,3.6,3.8,4,4.2,4.4,4.6,4.8,5,5.2,5.4,5.6,5.8,6],"step":0.2},"scoring_note":"","slug":"malicious-envy"}],"score_norms":[],"score_range":null,"scoring_note":"\u0414\u0432\u0456 \u0441\u0443\u0431\u0448\u043a\u0430\u043b\u0438 \u043f\u043e 5 \u043f\u0443\u043d\u043a\u0442\u0456\u0432 (1\u20136): \u0414\u043e\u0431\u0440\u043e\u044f\u043a\u0456\u0441\u043d\u0430 \u0437\u0430\u0437\u0434\u0440\u0456\u0441\u0442\u044c \u0442\u0430 \u0417\u043b\u043e\u044f\u043a\u0456\u0441\u043d\u0430 \u0437\u0430\u0437\u0434\u0440\u0456\u0441\u0442\u044c. \u0411\u0430\u043b \u0441\u0443\u0431\u0448\u043a\u0430\u043b\u0438 = \u0441\u0435\u0440\u0435\u0434\u043d\u0454 \u0432\u0456\u0434\u043f\u043e\u0432\u0456\u0434\u0435\u0439 (1\u20136). \u0417\u0430\u0433\u0430\u043b\u044c\u043d\u0438\u0439 \u0431\u0430\u043b \u043d\u0435 \u043f\u0456\u0434\u0440\u0430\u0445\u043e\u0432\u0443\u0454\u0442\u044c\u0441\u044f. \u0412\u0438\u0449\u0438\u0439 \u0431\u0430\u043b = \u0431\u0456\u043b\u044c\u0448 \u0432\u0438\u0440\u0430\u0436\u0435\u043d\u0438\u0439 \u0432\u0456\u0434\u043f\u043e\u0432\u0456\u0434\u043d\u0438\u0439 \u0442\u0438\u043f \u0437\u0430\u0437\u0434\u0440\u043e\u0441\u0442\u0456. \u041e\u043f\u0443\u0431\u043b\u0456\u043a\u043e\u0432\u0430\u043d\u0456 scale M/SD \u0437 \u043e\u0440\u0438\u0433\u0456\u043d\u0430\u043b\u044c\u043d\u0438\u0445, \u0443\u043a\u0440\u0430\u0457\u043d\u0441\u044c\u043a\u0438\u0445, \u0430\u043c\u0435\u0440\u0438\u043a\u0430\u043d\u0441\u044c\u043a\u0438\u0445, \u043d\u0456\u043c\u0435\u0446\u044c\u043a\u0438\u0445, \u0440\u043e\u0441\u0456\u0439\u0441\u044c\u043a\u0438\u0445, \u043f\u043e\u043b\u044c\u0441\u044c\u043a\u0438\u0445, \u044f\u043f\u043e\u043d\u0441\u044c\u043a\u0438\u0445, \u043a\u0438\u0442\u0430\u0439\u0441\u044c\u043a\u0438\u0445 \u0442\u0430 \u0432'\u0454\u0442\u043d\u0430\u043c\u0441\u044c\u043a\u0438\u0445 \u0432\u0438\u0431\u0456\u0440\u043e\u043a \u0437\u0431\u0435\u0440\u0435\u0436\u0435\u043d\u0456 \u044f\u043a scale_norm_samples (\u043e\u043f\u0438\u0441\u043e\u0432\u0438\u0439 \u043a\u043e\u043d\u0442\u0435\u043a\u0441\u0442). \u041d\u043e\u0440\u043c\u0430\u0442\u0438\u0432\u043d\u0456 \u043c\u0435\u0436\u0456, \u043f\u0440\u043e\u0446\u0435\u043d\u0442\u0438\u043b\u0456 \u0442\u0430 cut-off values \u0430\u0432\u0442\u043e\u0440\u0430\u043c\u0438 \u043d\u0435 \u043f\u0443\u0431\u043b\u0456\u043a\u0443\u0432\u0430\u043b\u0438\u0441\u044c; score_norms \u0456 automatic scale norm_mean/norm_sd \u043d\u0435 \u0437\u0430\u043f\u043e\u0432\u043d\u044e\u044e\u0442\u044c\u0441\u044f.","search_terms":["Lange, J., & Crusius, J. (2015). Dispositional envy revisited: Unraveling the motivational dynamics of benign and malicious envy. Personality and Social Psychology Bulletin, 41, 284\u2013294.","\u041f\u0438\u043b\u0430\u0442 \u041d. \u0406., \u0413\u0430\u043b\u0435\u0446\u044c\u043a\u0430 \u0406. \u0406. (2022). \u0423\u043a\u0440\u0430\u0457\u043d\u043e\u043c\u043e\u0432\u043d\u0430 \u0430\u0434\u0430\u043f\u0442\u0430\u0446\u0456\u044f \u0428\u043a\u0430\u043b\u0438 \u0434\u043e\u0431\u0440\u043e\u044f\u043a\u0456\u0441\u043d\u043e\u0457 \u0442\u0430 \u0437\u043b\u043e\u044f\u043a\u0456\u0441\u043d\u043e\u0457 \u0437\u0430\u0437\u0434\u0440\u043e\u0441\u0442\u0456 (BEMAS). \u0423\u043a\u0440\u0430\u0457\u043d\u0441\u044c\u043a\u0438\u0439 \u043f\u0441\u0438\u0445\u043e\u043b\u043e\u0433\u0456\u0447\u043d\u0438\u0439 \u0436\u0443\u0440\u043d\u0430\u043b, \u21161(17), \u0441. 118\u2013141.","benign envy","malicious envy"],"slug":"bemas","source_citation":"\u041f\u0438\u043b\u0430\u0442 \u041d. \u0406., \u0413\u0430\u043b\u0435\u0446\u044c\u043a\u0430 \u0406. \u0406. (2022). \u0423\u043a\u0440\u0430\u0457\u043d\u043e\u043c\u043e\u0432\u043d\u0430 \u0430\u0434\u0430\u043f\u0442\u0430\u0446\u0456\u044f \u0428\u043a\u0430\u043b\u0438 \u0434\u043e\u0431\u0440\u043e\u044f\u043a\u0456\u0441\u043d\u043e\u0457 \u0442\u0430 \u0437\u043b\u043e\u044f\u043a\u0456\u0441\u043d\u043e\u0457 \u0437\u0430\u0437\u0434\u0440\u043e\u0441\u0442\u0456 (BEMAS). \u0423\u043a\u0440\u0430\u0457\u043d\u0441\u044c\u043a\u0438\u0439 \u043f\u0441\u0438\u0445\u043e\u043b\u043e\u0433\u0456\u0447\u043d\u0438\u0439 \u0436\u0443\u0440\u043d\u0430\u043b, \u21161(17), \u0441. 118\u2013141.","source_url":"https://doi.org/10.17721/upj.2022.1(17).7","status_note":"","summary":"\u0412\u0438\u043c\u0456\u0440\u044e\u0454 \u0434\u0432\u0430 \u0442\u0438\u043f\u0438 \u0437\u0430\u0437\u0434\u0440\u043e\u0441\u0442\u0456: \u0434\u043e\u0431\u0440\u043e\u044f\u043a\u0456\u0441\u043d\u0443 (\u0441\u043f\u043e\u043d\u0443\u043a\u0430\u0454 \u0434\u043e \u0441\u0430\u043c\u043e\u0432\u0434\u043e\u0441\u043a\u043e\u043d\u0430\u043b\u0435\u043d\u043d\u044f \u0456 \u0434\u043e\u0441\u044f\u0433\u043d\u0435\u043d\u044c) \u0442\u0430 \u0437\u043b\u043e\u044f\u043a\u0456\u0441\u043d\u0443 (\u0434\u0435\u0441\u0442\u0440\u0443\u043a\u0442\u0438\u0432\u043d\u0430, \u0441\u043f\u0440\u044f\u043c\u043e\u0432\u0430\u043d\u0430 \u043d\u0430 \u043f\u043e\u0433\u0456\u0440\u0448\u0435\u043d\u043d\u044f \u0441\u0442\u0430\u043d\u043e\u0432\u0438\u0449\u0430 \u043e\u0431'\u0454\u043a\u0442\u0430). \u0423\u043a\u0440\u0430\u0457\u043d\u043e\u043c\u043e\u0432\u043d\u0430 \u0430\u0434\u0430\u043f\u0442\u0430\u0446\u0456\u044f BeMaS (Lange & Crusius, 2015).","target_group":"\u0414\u043e\u0440\u043e\u0441\u043b\u0456","tier":0,"title":"\u0428\u043a\u0430\u043b\u0430 \u0434\u043e\u0431\u0440\u043e\u044f\u043a\u0456\u0441\u043d\u043e\u0457 \u0442\u0430 \u0437\u043b\u043e\u044f\u043a\u0456\u0441\u043d\u043e\u0457 \u0437\u0430\u0437\u0434\u0440\u043e\u0441\u0442\u0456 (BeMaS)","typical_duration_minutes":3.0,"variants":[],"year":2022}