황재윤님의 다중지능 거리모형을 확인하기위한
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Alscal Procedure
Options
Data
Options-
Number of Rows
(Observations/Matrix). 8 Number of Columns (Variables) . . .
8 Number of Matrices . . . . . . 1 Measurement Level . . . .
. . . Ordinal Data Matrix Shape . . . . . . .
Symmetric Type . . . . . . . . . . . Dissimilarity Approach
to Ties . . . . . . . Leave Tied Conditionality . . . . . .
. . Matrix Data Cutoff at . . . . . . . .
.000000
Model
Options-
Model . . . . . .
. . . . . Euclid Maximum Dimensionality . . . . . 2 Minimum
Dimensionality . . . . . 2 Negative Weights . . . . . . .
Not Permitted
Output
Options-
Job Option Header . .
. . . . . Printed Data Matrices . . . . . . . .
Printed Configurations and Transformations . Plotted Output Dataset .
. . . . . . . Not Created Initial Stimulus Coordinates . . .
Computed
Algorithmic
Options-
Maximum Iterations .
. . . . . 30 Convergence Criterion . . . . .
.00100 Minimum S-stress . . . . . . . .00500 Missing Data
Estimated by . . . . Ulbounds Tiestore . . . . . . . . . .
28
Raw
(unscaled) Data for Subject 1
1 2 3 4 5 6 7
8
1
.000 2 101.823 .000 3 72.125
29.698 .000 4 144.250 42.426 72.125
.000 5 42.426 59.397 29.698 101.823
.000 6 25.456 76.368 46.669 118.794
16.971 .000 7 127.279 25.456 55.154
16.971 84.853 101.823 .000 8 25.456
76.368 46.669 118.794 16.971 .000 101.823
.000
>Number of
parameters is 16. Number of data values is 28
Iteration history for
the 2 dimensional solution (in squared distances)
Young's S-stress formula 1 is used.
Iteration S-stress Improvement
1 .00000
Iterations stopped because S-stress is less than
.005000
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 = .00000 RSQ = 1.00000
Configuration
derived in 2 dimensions
Stimulus Coordinates
Dimension
Stimulus Stimulus
1 2 Number Name
1 대인
1.9350 .0000 2 자기 -.9904 .0000 3 언어
-.1371 .0000 4 논리 -2.2093 .0000 5 자연
.7161 .0000 6 신체 1.2037 .0000 7 시각
-1.7217 .0000 8 음악 1.2037 .0000
Optimally
scaled data (disparities) for subject 1
1 2 3 4 5 6 7
8
1
.000 2 2.925 .000 3
2.072 .853 .000 4 4.144 1.219
2.072 .000 5 1.219 1.706 .853
2.925 .000 6 .731 2.194 1.341
3.413 .488 .000 7 3.657 .731
1.585 .488 2.438 2.925 .000 8
.731 2.194 1.341 3.413 .488 .000 2.925
.000
Abbreviated
Extended Name Name
논리
논리수학지능 대인 대인관계지능 시각 시각공간지능 신체 신체운동지능 언어
언어지능 음악 음악지능 자기 자기이해지능 자연 자연탐구지능
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