@article{ref1,
title="Using self-reported data to assess the validity of driving simulation data",
journal="Behavior research methods",
year="2006",
author="Reimer, Bryan and D'Ambrosio, Lisa A. and Coughlin, Joseph E. and Kafrissen, Michael E. and Biederman, J.",
volume="38",
number="2",
pages="314-324",
abstract="In this article, we use self-reported driving behaviors from a written questionnaire to assess the measurement validity of data derived from a driving simulation. The issue of validity concerns the extent to which measures from the experimental context map onto constructs of interest. Following a description of the experimental methods and setting, an argument for the face validity of the data is advanced. Convergent validity was assessed by regressing behaviors observed in thedriving simulatoron self-reported measures of driving behaviors. Significant relationships were found across six measures: accidents, speeding, velocity, passing, weaving between traffic, and behavior at stop signs. Concurrent validity was evaluated with an analysis of simulator accident involvement and attention deficit hyperactivity disorder status. Discriminant validity was assessed using a multitrait-multimethod matrix of simulator and questionnaire data. We concluded that although the relationship between self-reported behaviors and observed responses in the simulator falls short of perfect correspondence, the data collected from the driving simulator are valid measures of the behaviors of interest.<p /> <p>Language: en</p>",
language="en",
issn="1554-351X",
doi="",
url="http://dx.doi.org/"
}