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  • Home
  • About Us
    • Department
    • People
    • Resources & Affiliated Centers
  • Undergraduate
    • Prospective Students
    • Current CCJS Majors
    • Honors Program
    • Undergraduate Research
    • Internships and Career Opportunities
    • Extracurricular Programs
    • CCJS at Shady Grove
  • Graduate
    • CCJS Graduate Studies
    • PhD Program
    • Master's Program
    • Student Resources
  • Research
    • Racial Democracy Crime and Justice Network Small Grants Program
    • Recent Publications
    • Criminal Justice Policy & Practice
    • Criminological Theory Development & Testing
    • Emergent Issues in Crime & Justice
      • Criminology for the 21st Century
    • Statistical Methods & Data Analysis
  • RDCJN
  • Home
  • About Us
    • Department
    • People
    • Resources & Affiliated Centers
  • Undergraduate
    • Prospective Students
    • Current CCJS Majors
    • Honors Program
    • Undergraduate Research
    • Internships and Career Opportunities
    • Extracurricular Programs
    • CCJS at Shady Grove
  • Graduate
    • CCJS Graduate Studies
    • PhD Program
    • Master's Program
    • Student Resources
  • Research
    • Racial Democracy Crime and Justice Network Small Grants Program
    • Recent Publications
    • Criminal Justice Policy & Practice
    • Criminological Theory Development & Testing
    • Emergent Issues in Crime & Justice
      • Criminology for the 21st Century
    • Statistical Methods & Data Analysis
  • RDCJN

Publications related to Statistical Methods & Data Analysis

Capitol Building by Jorge Alcala (https://unsplash.com/@jorgeaalcala)
  • LaFree, G., & Gill, P. (2024). Strengths and Weaknesses of Open Source Data for Studying Terrorism and Political Radicalization. Studies in Conflict & Terrorism, 1-17.
  • Porter, L. C., De Biasi, A., Jefferis, E., & Curtis, A. (2024). “It’s the Best Thing in the World Around Here”: The Potential for Protective Places in a High Crime Neighborhood. Crime & Delinquency
  • Bjarnadottir, M. V., Chandra, S., He, P., & Midgette, G. (2023). Analyzing Illegal Psychostimulant Trafficking Networks Using Noisy and Sparse Data. IISE Transactions, online first 1-20.
  • Caulkins, J. P., Kilmer, B., & Reuter, P. (2023). Modeling cartel size to inform violence reduction in Mexico. Science, 381(6664), 1291-1293.
  • McGloin, J. M., & Augustyn, M. B. (2023). The Measurement Lens Matters: Considering the Sensitivity of the Gang Effect to Coding Across Samples. Journal of Developmental and Life-Course Criminology, 1-31.
  • Xie, M., Ortiz Solis, V., & Chauhan, P. (2023). Declining Trends in Crime Reporting and Victims’ Trust of Police in the United States and Major Metropolitan Areas in the 21st Century. Journal of Contemporary Criminal Justice, 0(0). https://doi.org/10.1177
  • Tahamont, S., Jelveh, Z., McNeill, M., Yan, S., Chalfin, A., & Hansen, B. (2023). No ground truth? No problem: Improving administrative data linking using active learning and a little bit of guile. PloS one, 18(4), e0283811. https://doi.org/10.1371/journa
  • Mitre‐Becerril, D., Tahamont, S., Lerner, J., & Chalfin, A. (2022). Can deterrence persist? Long‐term evidence from a randomized experiment in street lighting. Criminology & Public Policy.
  • Wellford, C. and Scott, T. (2021), "Guest editorial", Policing: An International Journal, Vol. 44 No. 4, pp. 541-547.https://doi.org/10.1108/PIJPSM-08-2021-198 10-1108_PIJPSM-08-2021-198.pdf88.38 KB
  • MDAC & MSCCSP Study Collaboration Results in Sentencing Guidelines Change COMPLIANT-Smith J., Soule, D., Criminal Sentencing, Data-driven Policy in Action.pdf404.82 KB
  • Smith J., Soule, D., "Criminal Sentencing, Data-driven Policy in Action" COMPLIANT-Smith J., Soule, D., Criminal Sentencing, Data-driven Policy in Action.pdf404.82 KB

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