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, 100 / () (/) -
Suzuki Splash 12,3 165 1040 8 490 000
Opel Corsa 13,9 168 1100 11 520 000
Fiat Punto Evo 10,8 185 1060 5 600 000
Seat Ibiza 11,8 177 1075 3 510 000
Citroen C3 12,4 167 1160 7 514 000
Chery () 11 14,8 180 1210 6 460 000

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Suzuki Opel Fiat Seat Citroen Chery
Suzuki
Opel 2
Fiat 4 8
Seat 5 8 7
Citroen 3 7 10 6
Chery 6 6 7 5 5

Suzuki Opel Fiat Seat Citroen Chery
Suzuki
Opel 6
Fiat 4 9
Seat 7 10 9
Citroen 4 8 8 8
Chery 8 8 8 6 7

Suzuki Opel Fiat Seat Citroen Chery
Suzuki
Opel 4
Fiat 3 9
Seat 7 8 7
Citroen 2 7 7 6
Chery 7 8 8 5 7

Suzuki Opel Fiat Seat Citroen Chery
Suzuki
Opel 3
Fiat 4 7
Seat 6 7 6
Citroen 3 8 8 7
Chery 6 9 7 4 7

Suzuki Opel Fiat Seat Citroen Chery
Suzuki
Opel 7
Fiat 6 7
Seat 6 10 10
Citroen 7 9 9 9
Chery 8 9 7 8 5

:

Suzuki Opel Fiat Seat Citroen Chery
Suzuki
Opel 4 -
Fiat 4 8 -
Seat 6 9 8 -
Citroen 4 8 8 7 -
Chery 7 8 7 6 6






.
SPSS Statistics 17.0 -, -, .










Raw (unscaled) Data for Subject 1

1 2 3 4 5 6

1 ,000
2 4,000 ,000
3 4,000 8,000 ,000
4 6,000 9,000 8,000 ,000
5 4,000 8,000 8,000 7,000 ,000
6 7,000 8,000 7,000 6,000 6,000 ,000




Iteration history for the 2 dimensional solution (in squared distances)

Young's S-stress formula 1 is used.

Iteration S-stress Improvement

1 ,25021
2 ,15617 ,09404
3 ,11277 ,04341
4 ,10761 ,00515
5 ,10729 ,00032

Iterations stopped because
S-stress improvement is less than ,001000


Stress and squared correlation (RSQ) in distances

RSQ values are the proportion of variance of the scaled data (disparities)
in the partition (row, matrix, or entire data) which
is accounted for by their corresponding distances.
Stress values are Kruskal's stress formula 1.



For matrix
Stress = ,09635 RSQ = ,92268

Configuration derived in 2 dimensions



Stimulus Coordinates

Dimension

Stimulus Stimulus 1 2
Number Name

1 VAR00001 ,3720 ,0820
2 VAR00002 2,0601 ,4770
3 VAR00003 ,2811 -1,6328
4 VAR00004 -1,4521 ,5208
5 VAR00005 -,6314 1,0860
6 VAR00006 -,6297 -,5329


Optimally scaled data (disparities) for subject 1

1 2 3 4 5 6

1 ,000
2 1,502 ,000
3 1,502 2,805 ,000
4 1,502 3,512 2,805 ,000
5 1,502 2,805 2,805 1,502 ,000
6 1,502 2,805 1,502 1,502 1,502 ,000







> # 14692
>You specified that the data are unconditional, but there is only one input
>matrix. ALSCAL will treat data as matrix conditional.

Raw (unscaled) Data for Subject 1

1 2 3 4 5 6

1 ,000
2 4,000 ,000
3 4,000 8,000 ,000
4 6,000 9,000 8,000 ,000
5 4,000 8,000 8,000 7,000 ,000
..................



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