{"title":"军用航空安全气候的需求-资源观","authors":"G. Fogarty, Ryan Cooper, S. McMahon","doi":"10.1027/2192-0923/a000141","DOIUrl":null,"url":null,"abstract":"Safety climate surveys have been criticized because they lack an explicit theoretical basis. We present validation data for a safety climate survey based on the job demands–resources (JD-R) theory and designed for use in a military aviation context. We tested measurement and structural models based on JD-R theory across three datasets collected in 2014 (N = 8,799), 2015 (N = 8,910), and 2016 (N = 10,236). The measurement model fitted the data across the three administrations, reliability estimates were satisfactory for all scales, and predictions based on JD-R theory were realized. The theory-based instrument can help to explain variance in safety outcomes through clearly articulated direct, indirect, and moderated pathways that have the potential to enrich reports on safety climate.","PeriodicalId":121896,"journal":{"name":"Aviation Psychology and Applied Human Factors","volume":"11 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2018-09-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"4","resultStr":"{\"title\":\"A Demands–Resources View of Safety Climate in Military Aviation\",\"authors\":\"G. Fogarty, Ryan Cooper, S. McMahon\",\"doi\":\"10.1027/2192-0923/a000141\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"Safety climate surveys have been criticized because they lack an explicit theoretical basis. We present validation data for a safety climate survey based on the job demands–resources (JD-R) theory and designed for use in a military aviation context. We tested measurement and structural models based on JD-R theory across three datasets collected in 2014 (N = 8,799), 2015 (N = 8,910), and 2016 (N = 10,236). The measurement model fitted the data across the three administrations, reliability estimates were satisfactory for all scales, and predictions based on JD-R theory were realized. The theory-based instrument can help to explain variance in safety outcomes through clearly articulated direct, indirect, and moderated pathways that have the potential to enrich reports on safety climate.\",\"PeriodicalId\":121896,\"journal\":{\"name\":\"Aviation Psychology and Applied Human Factors\",\"volume\":\"11 1\",\"pages\":\"0\"},\"PeriodicalIF\":0.0000,\"publicationDate\":\"2018-09-01\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"4\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"Aviation Psychology and Applied Human Factors\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://doi.org/10.1027/2192-0923/a000141\",\"RegionNum\":0,\"RegionCategory\":null,\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"\",\"JCRName\":\"\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"Aviation Psychology and Applied Human Factors","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1027/2192-0923/a000141","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
A Demands–Resources View of Safety Climate in Military Aviation
Safety climate surveys have been criticized because they lack an explicit theoretical basis. We present validation data for a safety climate survey based on the job demands–resources (JD-R) theory and designed for use in a military aviation context. We tested measurement and structural models based on JD-R theory across three datasets collected in 2014 (N = 8,799), 2015 (N = 8,910), and 2016 (N = 10,236). The measurement model fitted the data across the three administrations, reliability estimates were satisfactory for all scales, and predictions based on JD-R theory were realized. The theory-based instrument can help to explain variance in safety outcomes through clearly articulated direct, indirect, and moderated pathways that have the potential to enrich reports on safety climate.