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Supreme Court Certiorari Study, 1947-1956

Resource Type
Dataset : aggregate data
  • Ulmer, S. Sidney (University of Kentucky)
Other Title
  • Archival Version (Subtitle)
Publication Date
Funding Reference
  • National Science Foundation
Free Keywords
appeal procedures; certiorari; judicial review; legal history; Supreme Court decisions; Supreme Court justices; United States Supreme Court
  • Abstract

    This collection provides data on votes cast in conference by 15 Supreme Court justices on petitions to the court for certiorari during the period 1947-1956. The data were collected from the Harold Burton Papers at the Library of Congress. The file contains a complete enumeration of the court's decisions on the petitions to grant or deny plenary review under its certiorari or appellate jurisdiction for the 1951 term and the 1955 term. A one-third sample of cases is included for the other eight terms during the period. For each petition for certiorari, the data file contains (1) the volume, page, and docket number in the SUPREME COURT REPORTER, (2) the court action on the petition, (3) the docket type (appellate or miscellaneous), and (4) the vote made by each of the 15 justices (e.g., grant or deny the petition, absent from voting, or pass). The 15 justices whose votes were collected are Harold Burton, Wiley Rutledge, Robert H. Jackson, Frank Murphy, William O. Douglas, Felix Frankfurter, Stanley Reed, Hugo Black, Fred Vinson, Sherman Minton, Tom Clark, Earl Warren, John Harlan, William J. Brennan, and Charles E. Whittaker.
  • Table of Contents


    • DS1: Dataset
Temporal Coverage
  • 1947 / 1956
    Time period: 1947--1956
  • 1970 / 1971
    Collection date: 1970--1971
Geographic Coverage
  • United States
Sampled Universe
Petitions to the Supreme Court for certiorari on which formal votes were cast in conference during the 1947-1956 terms of the court.
A complete enumeration for all petitions is included for the 1951 and 1956 terms, and a one-third sample is included for the remaining eight terms. The samples are based on the record made by Justice Harold Burton.
This version of the study is no longer available on the web. If you need to acquire this version of the data, you have to contact ICPSR User Support (
Alternative Identifiers
  • 7611 (Type: ICPSR Study Number)
  • Is previous version of
    DOI: 10.3886/ICPSR07611.v1
  • Djupe, Paul A., Epstein, Lee. From Schubert's The Judicial Mind to Spaeth's U.S. Supreme Court Judical Data Base: A crossvalidation. American Journal of Political Science.42, (3), 1012-1019.1998.
    • ID: (URL)
  • Ulmer, S. Sidney. The Supreme Court's certiorari decisions: Conflict as a predictive variable. American Political Science Review.78, (4), 901-911.1984.
    • ID: (URL)
  • Teger, Stuart H., Kosinski, Douglas. The cue theory of Supreme Court certiorari jurisdiction: A reconsideration. Journal of Politics.42, (3), 834-846.1980.
  • Ulmer, S. Sidney. Selecting cases for Supreme Court review: An underdog model. American Political Science Review.72, (3), 902-910.1978.
    • ID: (URL)
  • Ulmer, S. Sidney. Bloc voting and access to the United States Supreme Court: 1947-1956 Terms. Jurimetrics Journal.16, 6-13.1975.
  • Ulmer, S. Sidney. Revising the jurisdiction of the Supreme Court: Mere administrative reform or substantive policy change. Minnesota Law Review.58, 121-155.1973.
  • Ulmer, S. Sidney. Supreme Court justices as strict and not-so-strict constructionists: Some implications. Law and Society Review.8, (1), 13-32.1973.
    • ID: (URL)
  • Ulmer, S. Sidney. The decision to grant certiorari as an indicator to decision on merits. Polity.4, (4), 429-447.1972.
    • ID: (URL)
  • Ulmer, S. Sidney. The decision to grant or deny certiorari: Further consideration of cue theory. Law and Society Review.6, (4), 637-643.1972.
    • ID: (URL)

Update Metadata: 2015-08-05 | Issue Number: 6 | Registration Date: 2015-06-15

Ulmer, S. Sidney (1984): Supreme Court Certiorari Study, 1947-1956. Archival Version. Version: v0. ICPSR - Interuniversity Consortium for Political and Social Research. Dataset.