TY - JOUR
T1 - Online measurement of mental representations of complex spatial decision problems : comparison of CNET and hard laddering
AU - Horeni, O.
AU - Arentze, T.A.
AU - Dellaert, B.G.C.
AU - Timmermans, H.J.P.
PY - 2014
Y1 - 2014
N2 - This paper introduces the online Causal Network Elicitation Technique (CNET), as a technique for measuring components of mental representations of choice tasks and compares it with the more common technique of online 'hard' laddering (HL). While CNET works in basically two phases, one in open question format and one as guided linking of attributes and benefits, HL works completely structured with revealed attributes and benefits. Mental representations of two activity travel tasks were collected with both techniques among members of a nationwide Dutch household panel. The results confirm the hypothesis that the revealed format of variables in HL has an effect on the indication of variables as the elicited mental representations are almost twice as big for HL than for CNET. Furthermore, it turned out that CNET is more sensitive in measuring shifts among attributes in the mental representations for situational changes of the activity-travel task. © 2013 Elsevier Ltd. All rights reserved.
AB - This paper introduces the online Causal Network Elicitation Technique (CNET), as a technique for measuring components of mental representations of choice tasks and compares it with the more common technique of online 'hard' laddering (HL). While CNET works in basically two phases, one in open question format and one as guided linking of attributes and benefits, HL works completely structured with revealed attributes and benefits. Mental representations of two activity travel tasks were collected with both techniques among members of a nationwide Dutch household panel. The results confirm the hypothesis that the revealed format of variables in HL has an effect on the indication of variables as the elicited mental representations are almost twice as big for HL than for CNET. Furthermore, it turned out that CNET is more sensitive in measuring shifts among attributes in the mental representations for situational changes of the activity-travel task. © 2013 Elsevier Ltd. All rights reserved.
U2 - 10.1016/j.trf.2013.12.002
DO - 10.1016/j.trf.2013.12.002
M3 - Article
SN - 1369-8478
VL - 22
SP - 170
EP - 183
JO - Transportation Research. Part F: Traffic Psychology and Behaviour
JF - Transportation Research. Part F: Traffic Psychology and Behaviour
ER -