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Jake Stump

Biographic Data

ID3620316
NAMEJake Stump
GIVEN NAMESJake
FAMILY NAMEStump
SIGNATURESTUMP J
AFFILIATIONSWest Virginia University, Morgantown, WV, USA
VERIFIEDNo
TOTAL WORKS1
TOTAL CITATIONS2
WORKS AS AUTHOR1
WORKS AS EDITOR0
FIRST PUBLICATION YEAR2015
LATEST PUBLICATION YEAR2015
H-INDEX1
  • Assessing the "Statistical Accuracy" of the National Incident-Based Reporting System Hate Crime Data

    Open Access•J Nolan, James J Nolan et al.•ARTICLE•American Behavioral Scientist•2015•Cited by: 2•References: 10

    The current study introduces a method to assess hate crime classification error in a state Incident-Based Reporting System. The study identifies and quantifies the "statistical accuracy" of aggregate hate crime data and provides insight from frontline officers about thought processes involved with classifying bias offenses. Random samples of records from two city and two county agencies provided data for the study. A systematic review of official…

  • Assessing the "Statistical Accuracy" of the National Incident-Based Reporting System Hate Crime Data

    Open Access•J Nolan, James J Nolan et al.•ARTICLE•American Behavioral Scientist•2015•Cited by: 2•References: 10

    The current study introduces a method to assess hate crime classification error in a state Incident-Based Reporting System. The study identifies and quantifies the "statistical accuracy" of aggregate hate crime data and provides insight from frontline officers about thought processes involved with classifying bias offenses. Random samples of records from two city and two county agencies provided data for the study. A systematic review of official…

  • Assessing the "Statistical Accuracy" of the National Incident-Based Reporting System Hate Crime Data

    Open Access•J Nolan, James J Nolan et al.•ARTICLE•American Behavioral Scientist•2015•Cited by: 2•References: 10

    The current study introduces a method to assess hate crime classification error in a state Incident-Based Reporting System. The study identifies and quantifies the "statistical accuracy" of aggregate hate crime data and provides insight from frontline officers about thought processes involved with classifying bias offenses. Random samples of records from two city and two county agencies provided data for the study. A systematic review of official…

Computer Science (1 work) · Computer security (1 work) · Crime Patterns and Interventions (1 work) · Criminal Justice and Corrections Analysis (1 work) · Criminology (1 work) · Gun Ownership and Violence Research (1 work) · Hate crime (1 work) · Incident report (1 work) · Law (1 work) · Officer (1 work)

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