TY - JOUR
AU - Takane, Yoshio
AB - Behavior Research Methods & Instrumentation 1982, Vol. 14(6),546 Input and Output. Input to the program is rather IDSORT: An individual differences similar to that of MDSORT. It consists of several job multidimensional scaling program parameters (title, number of stimuli, subjects, and for sorting data dimensions, input data format, and input/output options) and the data for N subjects. Stimulus labels and subject YOSHIO TAKANE McGill University, Montreal, QuebecH3A 1B1, Canada labels may optionally be input. All information should be punched on IBM cards in a prescribed format. The IDSORT is an individual differences multidimensional sorting data are indicated by numbers indicating cluster scaling (MDS) program specifically designed for sorting memberships of stimuli. For example, "1 2 3 1 3" on a data. It is a three-way extension ofthe MDSORT program data card implies that Stimuli 1 and 4 are put into a (Takane, 1980, 1981). While the MDSORT program finds same cluster, Stimuli 3 and 5 into another cluster, and a single stimulus configuration from N sets of sorting Stimulus 2 into a cluster of its own. Missing data may be data, IDSORT also obtains dimensional weights for handled by assigning additional cluster numbers. subjects, which account for certain individual 
TI - IDSORT: An individual differences multidimensional scaling program for sorting data
JF - Behavior Research Methods
DO - 10.3758/BF03203421
DA - 2010-12-31
UR - https://www.deepdyve.com/lp/springer-journals/idsort-an-individual-differences-multidimensional-scaling-program-for-EAu4jKnJ54
SP - 546
EP - 546
VL - 14
IS - 6
DP - DeepDyve
ER -