March 17, 2016 12:00PM (ET)
Testing Equivalence of Measurements and Application to Certifying APC Data for NTD Reporting
While it is common to see the need for detecting a difference between measurements from two programs or two population segments, it is not uncommon to see a need for determining the equivalence of measurements from two different methods. One method may be an established one with known accuracy levels but relatively high cost while the other is an emerging one with low cost but no demonstrated accuracy. For reporting passenger usage data to the National Transit Database (NTD), the established method is the use of manual ride checks and the emerging method is the use of automatic passenger counters (APC). This webinar introduces a well-established statistical test of equivalence and contrasts it both with simple numerical comparisons and the standard statistical test of differences both conceptually and in a graphical form. It also applies all three tests to APC data from several transit agencies. View Handout
Presenter: Xuehao Chu, Ph.D., Senior Research Associate, Center for Urban Transportation Research, University of South Florida
Dr. Xuehao Chu is a Senior Research Associate at the Center for Urban Transportation Research, University of South Florida. He has a Ph.D. in economics from the University of California at Irvine. He developed the ACS Statistical Analyzer, an Excel-based template for accessing the statistical quality of American Community Survey (ACS) data and for detecting differences in ACS data over time or across geographies. He has served as the qualified statistician for the NTD reporting efforts of many transit agencies across the country. He also developed the National Transit Database Sampling Manual, including an Excel template for transit agencies to develop sampling plans that reflect their local conditions and minimize their reporting burden.
Please take a few minutes to complete the evaluation.
AICP Certification Maintenance Credits Status
Status: Approved. APA Event #9102241.
To be eligible for CM credit, you must view the recording and complete the evaluation.