DUI Tracker v3.0
The DUI Tracker: An overview and initial findings Richard G. McCowen, Ph.D. Department of Psychology The University of Memphis Bob Richie TN GHSO
Special Thanks Patricia Simpson, M.S. William O. Dwyer, Ph.D. (Co-authors) Bob Richie and the Tennessee GHSO NHTSA The Coordinators, DAs, and Officers who support Tracker
DUI Tracker Team Richard G. McCowen, Ph.D. Research Assistant Professor Adriane M. Fertitta Research Assistant Sarah L. Petchonek Graduate Researcher Patricia Simpson, M.S. Coordinator
Overview Brief intro to Tennessee DUI Behavioral Tracking System (The Tracker) Bob Richie: From the state s point of view Overview of findings thus far Where do we go from here? Questions
What is the DUI Tracker? Database-driven, behaviorally-oriented tracking, analysis, and prediction system DUI-case centered Gathers over 400 variables per case Industrial-strength web application Web standards and accessibility compliant Anyone with a standards compliant browser and a login/password can use it.
Who uses it? Industrial/engineering psychologists and researchers at The University of Memphis for research and development Individual agencies for performance evaluation and future grant application data Law enforcement DA offices GHSO for grant monitoring Training and intervention
The GHSO s Role Mr. Bob Richie Grant Manager TN Governor s Highway Safety Office
What data are collected? Arrestee/Demographic information Vehicle Information Law Enforcement Agency Information Blood Alcohol and Field Sobriety Test Information Pre/post-stop driving behaviors Court information Charge information Treatment/punitive information User information
What is the scope of the data thus far? Data collected from 2002 to today 23,009 cases entered/started 16,170 cases completed/adjudicated
How is age distributed? Age Group Proportion of dataset 18-21 7% 21-30 27% 30-40 25% 40-50 22% 50-60 9% 60-70 3% 70-80 <1% 80-90 <1% No age reported 7% Percentages rounded to nearest integer
Trends in cvxn rates: Arrest Overall statewide conviction rate: 72.72%
Trends in cvxn rates: Disposition Overall statewide conviction rate: 72.72%
Trends in BAC: All Arrests
Trends in BAC: Crash
Trends in BAC: No Crash
What reports are generated? Aggregate reports for case totals and conviction rates Pre/post-stop behavior logistic regression analyses BAC statistics Reasons for stop Data visualization Crash statistics Demographic reports Temporal analysis Conviction prediction logistic regression analyses Latency to trial Treatment summary
Variables that predict cvxn Post-stop behavior: Balance problems Admission to drinking Field Sobriety Tasks Walk-and-turn One-leg-stand Finger-to-nose Finger dexterity Counting test
Acquittal Predictors Ethnicity In order, acquittal rate is African-American, Caucasian, Hispanic* Significance has not been obtained BUT trends indicate significance WILL happen during next year. Scene video absent (however, this year it is no longer statistically significant) Arrestee refused BAC test
What variables do not predict case outcome? All 24 Pre-stop behaviors Presence of a DUI-related Crash Age Gender Time-of-day Day-of-week Agency type Reason for stop 9 post-stop behaviors
Where do we go from here? Case outcome related to secondary and tertiary variables (proxies) instead of primary variables Concentrate more on NHTSA validated 24 prestop behaviors, increase strength of probable cause for arrest. Further examine the irrelevance of a DUI related crash on case outcome.
The Undiscovered Country Structured equation modeling for strong case vs. weak case Treatment and recidivism analysis Ethnicity differences GIS capability for arrest density and law enforcement strategy analysis
Thank you for your time. Questions? Comments? http://tracker.memphis.edu/ For more information on The DUI Tracker Richard McCowen: rmccowen@memphis.edu Adriane Fertitta: afertitt@memphis.edu