Computer-Assisted Content Analysis of Judicial Opinions
{'Code': '04050200', 'Directorate': {'Abbreviation': 'SBE', 'LongName': 'Direct For Social, Behav & Economic Scie'}, 'Division': {'Abbreviation': 'SES', 'LongName': 'Divn Of Social and Economic Sciences'}}
{'SignBlockName': 'Lisa Martin', 'PO_EMAI': None, 'PO_PHON': None}
Important to the scientific study of the judicial process is the                provision of data that can be meaningfully used to answer a variety of          questions about the public's use of law and the workings of courts.             The purpose of the project being undertaken by Dr. Gibson is to develop         and test a new method for enhancing the reliability of content analysis         of judicial opinions.  The method can be termed "computer-assisted              content analysis," though it has little in common with the traditional          computer-based methods of content analysis.  In particular, the method          is an adaptation of computer-assisted telephone interviewing (CATI)             technology to the coding of opinions.  The project consists of several          tasks.  First, the CATI system will be adapted to content analysis.             Second, a sample of opinions of the U.S. Supreme Court will be coded.           Finally, a formal assessment of the reliability of the computer-                assisted content analysis will be conducted by comparing the data to            the more traditional methods of analyzing opinions.  This analysis will         be conducted by merging the newly-coded CATI data with data from the            National Science Foundation-funded U.S. Supreme Court Judicial Data             Base.                                                                                                                                                           This project has considerable scientific promise.  It should yield a            new method that can be widely adapted to coding judicial opinions not           just of the United States Supreme Court but of a wide variety of                different courts.  Such an analytic innovation will allow judicial              scholars to turn their attention to the important goal of developing            comparable measures of theoretical and practical significance.  As              important, it should yield a technique for coding data that can be              executed in a systematic, reliable, standarized, and efficient way.
{'FirstName': 'James', 'LastName': 'Gibson', 'PI_MID_INIT': 'L', 'PI_SUFX_NAME': None, 'PI_FULL_NAME': 'James L Gibson', 'EmailAddress': 'jgibson@wustl.edu', 'NSF_ID': '000364202', 'StartDate': '11/01/1988', 'EndDate': None, 'RoleCode': 'Principal Investigator'}
{'Name': 'University of Houston', 'CityName': 'HOUSTON', 'ZipCode': '772043067', 'PhoneNumber': '7137435773', 'StreetAddress': '4300 MARTIN LUTHER KING BLVD', 'StreetAddress2': None, 'CountryName': 'United States', 'StateName': 'Texas', 'StateCode': 'TX', 'CONGRESSDISTRICT': '18', 'CONGRESS_DISTRICT_ORG': 'TX18', 'ORG_UEI_NUM': 'QKWEF8XLMTT3', 'ORG_LGL_BUS_NAME': 'UNIVERSITY OF HOUSTON SYSTEM', 'ORG_PRNT_UEI_NUM': None}
{'Name': None, 'CityName': None, 'StateCode': None, 'ZipCode': None, 'StreetAddress': None, 'CountryCode': None, 'CountryName': None, 'StateName': None, 'CountryFlag': None, 'CONGRESSDISTRICT': None, 'CONGRESS_DISTRICT_PERF': '""'}
{'Code': '137200', 'Text': 'LSS-Law And Social Sciences'}
{'url': 'https://www.nsf.gov/awardsearch/download?DownloadFileName=1988&All=true', 'xml': '8811117.xml'}