TY - JOUR
T1 - Nonlinear models of clinical judgment
T2 - Communal Nonlinearity and Nonlinear Accuracy
AU - Ganzach, Yoav
PY - 2001/9
Y1 - 2001/9
N2 - Despite our intuition that representative expert judgments are highly nonlinear, previous studies have shown only little, if any, nonlinearity in such judgments. The current study presents a method for assessing nonlinearity in judgment that is based on estimating communal nonlinearity - the systematic nonlinearity shared by the community of judges. The article also examines the predictive accuracy of communal nonlinearity, and compares it with the corresponding linear accuracy.
AB - Despite our intuition that representative expert judgments are highly nonlinear, previous studies have shown only little, if any, nonlinearity in such judgments. The current study presents a method for assessing nonlinearity in judgment that is based on estimating communal nonlinearity - the systematic nonlinearity shared by the community of judges. The article also examines the predictive accuracy of communal nonlinearity, and compares it with the corresponding linear accuracy.
UR - http://www.scopus.com/inward/record.url?scp=0035459171&partnerID=8YFLogxK
U2 - 10.1111/1467-9280.00374
DO - 10.1111/1467-9280.00374
M3 - ???researchoutput.researchoutputtypes.contributiontojournal.article???
C2 - 11554674
AN - SCOPUS:0035459171
SN - 0956-7976
VL - 12
SP - 403
EP - 407
JO - Psychological Science
JF - Psychological Science
IS - 5
ER -