JSM 2005 - Toronto

Abstract #302306

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Legend: = Applied Session, = Theme Session, = Presenter
Activity Number: 302
Type: Invited
Date/Time: Tuesday, August 9, 2005 : 2:00 PM to 3:50 PM
Sponsor: Section on Survey Research Methods
Abstract - #302306
Title: Using GIS To Improve Field Interviewing Efficiency: Enhanced Interviewer Selection and Sample Allocation
Author(s): Edward M. English*+ and Steven Pedlow
Companies: NORC at the University of Chicago and NORC at the University of Chicago
Address: 55 E. Monroe St. , Chicago, IL, 60603,
Keywords: GIS ; Interviewer Proximity ; Automatic field assignment ; Travel minimization
Abstract:

Two tasks that must be completed in advance of a successful field interviewing study are the hiring of field staff and the appropriate assignment of sample to be fielded. Ideally, interviewers will be acquired who are situated geographically proximate to a convenient quantity of sample for maximum productivity. In addition, the assignment of field sample cases, usually in the form of clustered housing units, should consider the relative distance to potential field interviewers as well as the quantity of sample already defined. It thus becomes an optimization task in theory, weighing travel distances and sample quantities for each field interviewer. This paper presents a programmatic GIS-based technique for field interviewer hiring and sample assignment. It is novel in that it departs from the traditional, decentralized method of hiring and assignment by each field manager. GIS was utilized in order to integrate distance and proximity with traditional database processing, and a programmatic method was employed to optimally allocate clusters. The authors focus on empirical results from two NORC surveys: the Survey of Consumer Finances and the General Social Survey.

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