{"title":"测量质量很重要:调整后的美国律师协会评级和巡回法院确认听证会的词语选择","authors":"James A. Sieja","doi":"10.1017/jlc.2023.19","DOIUrl":null,"url":null,"abstract":"\n Though widely used in studies of judicial politics, American Bar Association (ABA) ratings have a partisan bias. As a result, when researchers include ABA ratings and ideology in a model together, the results may be biased toward non-findings with respect to the effect of ideology, qualifications, or both. This study leverages new data on the ABA rating process to create a valid and reliable new measure for the qualifications of nominees to the US Courts of Appeals. In an empirical example, I test the new measure against alternative specifications to demonstrate its potential. The empirical example also presents a new data set on circuit court confirmation hearing speech. The findings contrast with well-established conclusions from previous studies.","PeriodicalId":44478,"journal":{"name":"Journal of Law and Courts","volume":"91 5","pages":""},"PeriodicalIF":0.8000,"publicationDate":"2024-01-10","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":"{\"title\":\"Quality in Measurement Matters: Adjusted American Bar Association Ratings and Circuit Court Confirmation Hearing Word Choice\",\"authors\":\"James A. Sieja\",\"doi\":\"10.1017/jlc.2023.19\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"\\n Though widely used in studies of judicial politics, American Bar Association (ABA) ratings have a partisan bias. As a result, when researchers include ABA ratings and ideology in a model together, the results may be biased toward non-findings with respect to the effect of ideology, qualifications, or both. This study leverages new data on the ABA rating process to create a valid and reliable new measure for the qualifications of nominees to the US Courts of Appeals. In an empirical example, I test the new measure against alternative specifications to demonstrate its potential. The empirical example also presents a new data set on circuit court confirmation hearing speech. The findings contrast with well-established conclusions from previous studies.\",\"PeriodicalId\":44478,\"journal\":{\"name\":\"Journal of Law and Courts\",\"volume\":\"91 5\",\"pages\":\"\"},\"PeriodicalIF\":0.8000,\"publicationDate\":\"2024-01-10\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"0\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"Journal of Law and Courts\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://doi.org/10.1017/jlc.2023.19\",\"RegionNum\":0,\"RegionCategory\":null,\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"Q2\",\"JCRName\":\"LAW\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"Journal of Law and Courts","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1017/jlc.2023.19","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"Q2","JCRName":"LAW","Score":null,"Total":0}
Quality in Measurement Matters: Adjusted American Bar Association Ratings and Circuit Court Confirmation Hearing Word Choice
Though widely used in studies of judicial politics, American Bar Association (ABA) ratings have a partisan bias. As a result, when researchers include ABA ratings and ideology in a model together, the results may be biased toward non-findings with respect to the effect of ideology, qualifications, or both. This study leverages new data on the ABA rating process to create a valid and reliable new measure for the qualifications of nominees to the US Courts of Appeals. In an empirical example, I test the new measure against alternative specifications to demonstrate its potential. The empirical example also presents a new data set on circuit court confirmation hearing speech. The findings contrast with well-established conclusions from previous studies.