{"title":"国家和行业与性别相关的薪酬平等","authors":"Ronald Sowadski","doi":"10.11648/j.jhrm.20221001.14","DOIUrl":null,"url":null,"abstract":"The purpose of this study was to examine whether there are differences in gender-related pay equity in the public sector, among states, and among industries in the United States. The study was conducted with archival data from The American Community Survey. Results of two one-way ANOVAs showed a significant difference in the gender-related pay equity among the 51 states (including D.C.), F(50, 1740) = 1.69, p = 0.019, and among the five major industries, F(4, 1735) = 17.00, p < 0.01. These empirical findings provide a basis for the development of policies needed to address pay inequity.","PeriodicalId":31099,"journal":{"name":"Journal of Human Resource Management","volume":null,"pages":null},"PeriodicalIF":0.0000,"publicationDate":"2022-12-19","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":"{\"title\":\"Gender-Related Pay Equity by State and Industry\",\"authors\":\"Ronald Sowadski\",\"doi\":\"10.11648/j.jhrm.20221001.14\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"The purpose of this study was to examine whether there are differences in gender-related pay equity in the public sector, among states, and among industries in the United States. The study was conducted with archival data from The American Community Survey. Results of two one-way ANOVAs showed a significant difference in the gender-related pay equity among the 51 states (including D.C.), F(50, 1740) = 1.69, p = 0.019, and among the five major industries, F(4, 1735) = 17.00, p < 0.01. These empirical findings provide a basis for the development of policies needed to address pay inequity.\",\"PeriodicalId\":31099,\"journal\":{\"name\":\"Journal of Human Resource Management\",\"volume\":null,\"pages\":null},\"PeriodicalIF\":0.0000,\"publicationDate\":\"2022-12-19\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"0\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"Journal of Human Resource Management\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://doi.org/10.11648/j.jhrm.20221001.14\",\"RegionNum\":0,\"RegionCategory\":null,\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"\",\"JCRName\":\"\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"Journal of Human Resource Management","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.11648/j.jhrm.20221001.14","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
The purpose of this study was to examine whether there are differences in gender-related pay equity in the public sector, among states, and among industries in the United States. The study was conducted with archival data from The American Community Survey. Results of two one-way ANOVAs showed a significant difference in the gender-related pay equity among the 51 states (including D.C.), F(50, 1740) = 1.69, p = 0.019, and among the five major industries, F(4, 1735) = 17.00, p < 0.01. These empirical findings provide a basis for the development of policies needed to address pay inequity.
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