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Title:

REVISED DECISION CRITERIA FOR BEFORE-AND-AFTER ANALYSES

Accession Number:

00474326

Record Type:

Component

Availability:

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Order URL: http://worldcat.org/isbn/0309040620

Abstract:

Because better experimental designs utilizing control sites are not always feasible, a simple before-and-after analysis is commonly used to analyze accident rates and other counted events. Treating the number of events counted before some experimental change as a known constant rather than as a random variable is a fundamental conceptual error that falsely inflates the confidence level at which the experimental change can be judged to have had a significant effect. For example, a reduction in the number of accidents observed after some improvement has been implemented may be judged to be statistically significant when, in fact, it is primarily the result of the chance occurrence of an unusually high "before" count, a typical manifestation of the "regression-to-the-mean" phenomenon. By properly treating the initial count as a random variable, at least a portion of this problem is avoided. New tables are developed to provide more appropriate decision criteria for applications of this type.

Supplemental Notes:

Publication of this paper sponsored by Committee on Traffic Records and Accident Analysis.

Monograph Accession #:

00495821

Report/Paper Numbers:

HS-039 850

Corporate Authors:

Transportation Research Board

500 Fifth Street, NW
Washington, DC 20001 United States

Authors:

Weed, Richard M

Pagination:

pp 8-17

Publication Date:

1986

Serial:

Transportation Research Record

Issue Number: 1068
Publisher: Transportation Research Board
ISSN: 0361-1981

ISBN:

0309040620

Media Type:

Digital/other

Features:

Figures (6) ; References (7) ; Tables (4)

Old TRIS Terms:

Subject Areas:

Highways; Safety and Human Factors; I81: Accident Statistics

Files:

TRIS, TRB

Created Date:

Oct 31 1990 12:00AM

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