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Factor mean rows use a 0\u20133 metric and are kept in source notes rather than scale_norm_samples because platform subscales are raw sums. \u0426\u0435 \u043d\u0435 \u043d\u043e\u0440\u043c\u0430\u0442\u0438\u0432\u043d\u0430 \u0442\u0430\u0431\u043b\u0438\u0446\u044f \u0434\u043b\u044f \u043e\u0441\u043d\u043e\u0432\u043d\u043e\u0457 \u0432\u0438\u0431\u0456\u0440\u043a\u0438 N=619.","sample_size":50,"sd_total":4.1,"source_citation":"","source_url":""},{"age_range":"M=41.1, SD=13.0; 60.4% \u0436\u0456\u043d\u043e\u043a; CTS exposure n=138, non-CTS n=175","label":"\u041e\u0440\u0438\u0433\u0456\u043d\u0430\u043b\u044c\u043d\u0430 CTSR, \u0406\u0437\u0440\u0430\u0457\u043b\u044c","mean_total":null,"modeled_score_norms":false,"note":"Goral et al. (2021), Table 1: CTSR symptoms 140/313 (45.2%); CTS-exposed 67/138 (48.6%) vs non-CTS 73/175 (42.4%), p=.280. Table 2 uses median value 3 as a construct-validity cutoff for high CTSR scores (n=311), with higher prevalence among men 50.8% vs women 35.9%, prior trauma 53.2% vs 41.1%, high fear 61.1% vs 33.3%, and high likelihood of future events 56.5% vs 37.2%. 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