TY  - JOUR
PY  - 2006//
TI  - Using self-reported data to assess the validity of driving simulation data
JO  - Behavior research methods
A1  - Reimer, Bryan
A1  - D'Ambrosio, Lisa A.
A1  - Coughlin, Joseph E.
A1  - Kafrissen, Michael E.
A1  - Biederman, J.
SP  - 314
EP  - 324
VL  - 38
IS  - 2
N2  - 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>
LA  - en
SN  - 1554-351X
UR  - http://dx.doi.org/
ID  - ref1
ER  -