00769524

Component

https://doi.org/10.3141/1660-21

http://scholar.google.com...olak&publication_year=1999

Panel data, in which the same observational units are surveyed at several points in time, offer a number of important advantages compared with more conventional cross-sectional or time-series data. However, panel data are also susceptible to specific forms of bias that do not affect cross-sectional or time-series data, for example, panel attrition, fatigue, and conditioning. If these sources of bias are not properly taken into account in the preanalysis of panel data, they may lead to serious distortion of the conclusions of substantive analyses. It is therefore important to seek a better understanding of the nature of these biases, how they arise, and how to deal with them. The objective of this paper is to explore these issues by presenting the results of the preanalysis of two different panel datasets collected in different countries at different times and using different survey approaches. The patterns of wave-to-wave attrition in the two datasets are compared, and various approaches to dealing with this problem are discussed.

This paper appears in Transportation Research Record No. 1660, Part 2: Improving Transportation Data.

English

p. 164-171

1999

Transportation Research Record

0309070570

References (32) ; Tables (5)

Bias (Statistics); Case studies; Fatigue (Physiological condition); Panel studies; Travel surveys

Attrition; Conditioning (Psychology); Underreporting

Highways; Planning and Forecasting; I72: Traffic and Transport Planning

TRIS, TRB, ATRI

Sep 28 1999 12:00AM

• ACCURACY ISSUES WITH ROUTE CHOICE DATA COLLECTION BY USING GLOBAL POSITIONING SYSTEM
• ACCURACY OF LINEARLY REFERENCED DATA BY USING GEOGRAPHIC INFORMATION SYSTEMS
• ANALYSIS OF GLOBAL POSITIONING SYSTEM-BASED DATA COLLECTION METHODS FOR CAPTURING MULTISTOP TRIP-CHAINING BEHAVIOR
• ARCHITECTURE DEVELOPMENT FOR WEB-BASED GEOGRAPHIC INFORMATION SYSTEM APPLICATIONS IN TRANSPORTATION
• DYNAMIC EMERGENCY EVACUATION MANAGEMENT SYSTEM USING GEOGRAPHIC INFORMATION SYSTEM AND SPATIOTEMPORAL MODELS OF BEHAVIOR
• ESTIMATION OF ANNUAL AVERAGE DAILY TRAFFIC FOR NONSTATE ROADS IN A FLORIDA COUNTY
• EVALUATING ROLE OF DISTANCE AND LOCATION IN STATEWIDE TRAVEL DEMAND FORECASTING BY USING AMERICAN TRAVEL SURVEY
• FORMULATION OF A TRANSPORTATION PROBLEM BY USING EXISTING DATA: CASE STUDY IN NORTHEASTERN ILLINOIS
• GEOGRAPHIC INFORMATION SYSTEM METHODOLOGY FOR ASSESSING GROWTH EFFECTS OF HIGHWAY IMPROVEMENTS
• INNOVATIVE COMMUTER SURVEYING TECHNIQUES USED IN ADVANCED TRANSPORTATION MANAGEMENT SYSTEM EVALUATION
• LINEAR REFERENCING SYSTEM FOR NORTH CAROLINA DEPARTMENT OF TRANSPORTATION
• NEURAL NETWORKS AS ALTERNATIVE TO TRADITIONAL FACTOR APPROACH TO ANNUAL AVERAGE DAILY TRAFFIC ESTIMATION FROM TRAFFIC COUNTS
• PROTOTYPE INTERNET APPLICATIONS FOR TRANSPORTATION SYSTEM MANAGEMENT
• SELF-DESCRIBING DATA TRANSFER METHODOLOGY FOR INTELLIGENT TRANSPORTATION SYSTEMS APPLICATIONS
• SYSTEM FOR LOGICAL VERIFICATION AND INFERENCE OF ACTIVITY (SYLVIA) DIARIES
• TOWARD NATIONAL INDICATORS OF VEHICLE TRAVEL AND TRAFFIC CONGESTION BASED ON REAL-TIME TRAFFIC DATA
• TRAFFIC IMPACT ANALYSIS BY USING GEOGRAPHIC INFORMATION SYSTEM TECHNOLOGY
• TRANSPORTATION PLANNING, POLICY, AND DATA: INEXTRICABLE LINKAGES
• TRAVEL TIME INFORMATION USING GLOBAL POSITIONING SYSTEM AND DYNAMIC SEGMENTATION TECHNIQUES
• USING THE INTERNET TO IMPROVE LONG-DISTANCE TRAVEL DATA COLLECTION