Civil Justice Survey of State Courts, 2005 (ICPSR 23862)
The Civil Justice Survey of State Courts (CJSSC), 2005 is a systematic examination of general civil (that is, tort, contract, and real property) cases disposed of by bench or jury trial in a national sample of state courts of general jurisdiction in 2005. This study expands on the 1992, 1996, and 2001 CJSSC by collecting a nationally representative sample of bench and jury trials concluded in 156 urban, suburban, and rural counties. Prior iterations of the CJSSC focused on general civil cases concluded by bench or jury trial in a sample of the nation's 75 most populous counties. The 2005 CJSSC was designed and carried out by the National Center for State Courts. Westat designed the national sampling framework for this survey. The data collection produced two datasets. The first contains information on general civil (tort, contract, and real property) cases disposed of by bench or jury trial in a national sample of counties in 2005. Detailed case level information was obtained on these trials, including types of civil cases litigated at trial, characteristics of litigants involved in trials, who wins in trials, compensatory award amounts, punitive damages, case processing times, and post-trial litigation. The other data file contains aggregate information on the number of general civil trial and nontrial dispositions that occurred in 2005 in CJSCC counties that had the capacity to provide these data. This is the fourth in a series of data collections begun in 1992 [CIVIL JUSTICE SURVEY OF STATE COURTS, 1992 (ICPSR 6587), CIVIL JUSTICE SURVEY OF STATE COURTS, 1996 (ICPSR 2883), and CIVIL JUSTICE SURVEY OF STATE COURTS, 2001 (ICPSR 3957)].
One or more files in this data collection have special restrictions ; consult the restrictions note to learn more. You can apply online for access to the restricted-use data. A login is required to apply.
Access to these data is restricted. Users interested in obtaining these data must complete a Restricted Data Use Agreement, specify the reasons for the request, and obtain IRB approval or notice of exemption for their research.
Any public-use data files in this collection are available for access by the general public. Access does not require affiliation with an ICPSR member institution.
United States Department of Justice. Office of Justice Programs. Bureau of Justice Statistics. Civil Justice Survey of State Courts, 2005 . ICPSR23862-v2. Ann Arbor, MI: Inter-university Consortium for Political and Social Research [distributor], 2011-11-02. https://doi.org/10.3886/ICPSR23862.v2
Persistent URL: https://doi.org/10.3886/ICPSR23862.v2
This study was funded by:
- United States Department of Justice. Office of Justice Programs. Bureau of Justice Statistics
Scope of Study
Geographic Coverage: United States
In Dataset 1, ICPSR separated the variable AdjotherExp into AdjotherExp_a and AdjotherExp_b and Generalcomments into Generalcomment_a, Generalcomment_b, and Generalcomment_c. The character widths of the original variables were too long for the SAS and Stata files to be produced. Syntax for merging these variables back into their original format is included in the SPSS setup file.
Sample: The 2005 Civil Justice Survey of State Courts used a stratified, two-stage sample design. Primary sampling units (i.e., PSUs, which were counties or small groups of adjacent counties) were selected at the first stage, and cases were selected at the second stage within the courts serving the relevant counties. Each PSU was assigned to 1 of 55 strata. The first 5 strata contained the 75 most populous counties that were subject to and included in the previous civil trial study. The remaining 50 strata contained the balance of counties in the United States and were defined by Census region, urbanicity and population size (the square root of the estimated 2004 PSU population).
Weight: The dataset contains several analysis weights. BWGT0: BWGT0 is the weight used to produce national-level estimates of general civil trial litigation. Calculations of civil trials in the nation's 75 most populous counties can be produced by selecting values 1 through 47 of the site code (Sitecode) variable of the weighted dataset. Replicate weights: The dataset contains 132 replicate weight variables (BWGT1 to BWGT132) appropriate for calculating sampling errors and confidence intervals using WESTVAR PC. The replicate weights were created using the jackknife method and the user must specify the JKn variance estimation procedure when using WESTVAR PC. Note on the JKn and FPC factors required for JKn variance estimation: In order for the JKn procedure to work correctly, it is necessary to attach two files of factors to the WESTVAR PC file. These are the FPC and JKn factors. Both files are included under the Civil Justice Survey of State Courts, 2005 project and should be downloaded and attached to the WESTVAR PC data file. In addition, the degrees of freedom should be set at 78 (132 replicate weights minus 54 noncertainty strata) for the national sample. For calculating confidence intervals for the nation's 75 most populous counties, the degrees of freedom should be set at 28.
standard coding forms completed by court staff
Extent of Processing: ICPSR data undergo a confidentiality review and are altered when necessary to limit the risk of disclosure. ICPSR also routinely creates ready-to-go data files along with setups in the major statistical software formats as well as standard codebooks to accompany the data. In addition to these procedures, ICPSR performed the following processing steps for this data collection:
- Performed consistency checks.
- Checked for undocumented or out-of-range codes.
Original ICPSR Release: 2009-01-14
- 2011-11-02 All parts are being moved to restricted access and will be available only using the restricted access procedures.
- List all ~25 citations associated with this study
- View citations for the entire series
Most Recent Publications
- Citations exports are provided above.
Export Study-level metadata (does not include variable-level metadata)
If you're looking for collection-level metadata rather than an individual metadata record, please visit our Metadata Records page.