Two-Group Discriminant Function Analysis: Annotated Statistical Output
GET
FILE='C:\Users\Vati\Documents\_XYZZY\_Stats\SPSS\Harass90.sav'.
DATASET NAME DataSet1 WINDOW=FRONT.
DISCRIMINANT
/GROUPS=verdict(1 2)
/VARIABLES=d_excitd_calmd_indepd_sincerd_warmd_attracd_kindd_intelld_strongd_sophisd_happyp_excitp_calmp_indepp_sincerp_warmp_attracp_kindp_intellp_strongp_sophisp_happy
/ANALYSIS ALL
/SAVE=SCORES
/PRIORS SIZE
/STATISTICS=MEAN STDDEV UNIVF BOXM COEFF RAW TABLE
/CLASSIFY=NONMISSING POOLED.
Analysis Case Processing SummaryUnweighted Cases / N / Percent
Valid / 145 / 100.0
Excluded / Missing or out-of-range group codes / 0 / .0
At least one missing discriminating variable / 0 / .0
Both missing or out-of-range group codes and at least one missing discriminating variable / 0 / .0
Total / 0 / .0
Total / 145 / 100.0
Group Statistics
verdict / Guilty / Not Guilty
Mean / Std. Deviation / Mean / Std. Deviation
d_excit / 4.316 / 1.8808 / 6.520 / 1.8349
d_calm / 5.463 / 2.0096 / 6.380 / 1.7729
d_indep / 6.000 / 2.1586 / 5.860 / 1.9324
d_sincer / 4.168 / 1.9659 / 6.840 / 1.4462
d_warm / 4.558 / 2.0768 / 7.260 / 1.5238
d_attrac / 4.379 / 3.2524 / 6.600 / 2.8927
d_kind / 4.789 / 1.9290 / 6.560 / 1.5954
d_intell / 6.463 / 1.7061 / 6.860 / 1.4682
d_strong / 5.474 / 2.0774 / 4.740 / 1.5386
d_sophis / 5.400 / 2.0021 / 4.280 / 1.6183
d_happy / 5.211 / 1.7436 / 5.060 / 1.5120
p_excit / 4.926 / 1.7088 / 4.360 / 2.0683
p_calm / 4.284 / 1.8199 / 4.320 / 1.7961
p_indep / 5.368 / 2.2076 / 3.960 / 2.0445
p_sincer / 6.368 / 1.8222 / 4.740 / 1.6874
p_warm / 6.242 / 1.5209 / 5.200 / 1.4769
p_attrac / 5.926 / 3.1054 / 4.420 / 3.0369
p_kind / 6.463 / 1.5629 / 4.420 / 1.8049
p_intell / 6.147 / 1.5366 / 3.620 / 1.6782
p_strong / 5.295 / 1.9509 / 6.520 / 1.5131
p_sophis / 5.284 / 1.9056 / 6.380 / 1.8962
p_happy / 3.832 / 2.0035 / 5.860 / 1.7600
Tests of Equality of Group Means
Wilks' Lambda / F / df1 / df2 / Sig.
d_excit / .968 / 4.669 / 1 / 143 / .032
d_calm / .893 / 17.128 / 1 / 143 / .000
d_indep / .952 / 7.245 / 1 / 143 / .008
d_sincer / .720 / 55.615 / 1 / 143 / .000
d_warm / .827 / 29.955 / 1 / 143 / .000
d_attrac / .951 / 7.317 / 1 / 143 / .008
d_kind / .775 / 41.509 / 1 / 143 / .000
d_intell / .948 / 7.843 / 1 / 143 / .006
d_strong / .926 / 11.391 / 1 / 143 / .001
d_sophis / .920 / 12.479 / 1 / 143 / .001
d_happy / .817 / 32.039 / 1 / 143 / .000
p_excit / .998 / .336 / 1 / 143 / .563
p_calm / 1.000 / .000 / 1 / 143 / .989
p_indep / .995 / .672 / 1 / 143 / .414
p_sincer / .774 / 41.840 / 1 / 143 / .000
p_warm / .728 / 53.365 / 1 / 143 / .000
p_attrac / .915 / 13.333 / 1 / 143 / .000
p_kind / .800 / 35.735 / 1 / 143 / .000
p_intell / .924 / 11.681 / 1 / 143 / .001
p_strong / .949 / 7.628 / 1 / 143 / .007
p_sophis / .955 / 6.761 / 1 / 143 / .010
p_happy / .997 / .396 / 1 / 143 / .530
Box's Test of Equality of Covariance Matrices
Log Determinantsverdict / Rank / Log Determinant
Guilty / 22 / 17.958
Not_G / 22 / 8.820
Pooled within-groups / 22 / 17.604
The ranks and natural logarithms of determinants printed are those of the group covariance matrices.
Test Results
Box's M / 397.149
F / Approx. / 1.275
df1 / 253
df2 / 32013.563
Sig. / .002
Tests null hypothesis of equal population covariance matrices.
Standardized Canonical Discriminant Function Coefficients
Function
1
d_excit / .154
d_calm / .152
d_indep / .007
d_sincer / .301
d_warm / -.405
d_attrac / .011
d_kind / .382
d_intell / .001
d_strong / .078
d_sophis / .004
d_happy / .284
p_excit / .299
p_calm / .291
p_indep / .262
p_sincer / -.398
p_warm / -.373
p_attrac / -.023
p_kind / -.111
p_intell / -.243
p_strong / -.438
p_sophis / .007
p_happy / .056
I have removed the unstandardized coefficients from this document.
Summary of Canonical Discriminant Functions
EigenvaluesFunction / Eigenvalue / % of Variance / Cumulative % / Canonical Correlation
1 / 1.187a / 100.0 / 100.0 / .737
a. First 1 canonical discriminant functions were used in the analysis.
Wilks' Lambda
Test of Function(s) / Wilks' Lambda / Chi-square / df / Sig.
1 / .457 / 103.299 / 22 / .000
Structure Matrix
(Loadings)
Function
1
d_sincer / .572
p_warm / -.561
p_sincer / -.496
d_kind / .494
p_kind / -.459
d_happy / .434
d_warm / .420
d_calm / .318
p_attrac / -.280
d_sophis / .271
p_intell / -.262
d_strong / .259
d_intell / .215
p_strong / -.212
d_attrac / .208
d_indep / .207
p_sophis / -.200
d_excit / .166
p_indep / -.063
p_happy / -.048
p_excit / -.044
p_calm / -.001
Functions at Group Centroids
verdict / Function
1
Guilty / -.785
Not_G / 1.491
Classification Statistics
Classification Processing SummaryProcessed / 145
Excluded / Missing or out-of-range group codes / 0
At least one missing discriminating variable / 0
Used in Output / 145
Prior Probabilities for Groups
verdict / Prior / Cases Used in Analysis
Unweighted / Weighted
Guilty / .655 / 95 / 95.000
Not_G / .345 / 50 / 50.000
Total / 1.000 / 145 / 145.000
Classification Function Coefficients
verdict
Guilty / Not_G
d_excit / .735 / .923
d_calm / .346 / .526
d_indep / .557 / .565
d_sincer / .049 / .428
d_warm / .810 / .327
d_attrac / -.741 / -.733
d_kind / -.470 / .008
d_intell / 2.142 / 2.143
d_strong / -.014 / .079
d_sophis / -.091 / -.086
d_happy / 1.116 / 1.503
p_excit / .936 / 1.305
p_calm / .758 / 1.124
p_indep / .647 / .924
p_sincer / .659 / .149
p_warm / 1.610 / 1.046
p_attrac / -.198 / -.215
p_kind / .511 / .358
p_intell / .767 / .419
p_strong / .718 / .168
p_sophis / -.452 / -.443
p_happy / -.495 / -.429
(Constant) / -29.338 / -30.930
Fisher's linear discriminant functions
Classification Resultsa
verdict / Predicted Group Membership / Total
Guilty / Not_G
Original / Count / Guilty / 85 / 10 / 95
Not_G / 7 / 43 / 50
% / Guilty / 89.5 / 10.5 / 100.0
Not_G / 14.0 / 86.0 / 100.0
a. 88.3% of original grouped cases correctly classified.
Among those jurors who actually voted guilty, we correctly classified 89.5% of them.
Among those jurors who actually voted not guilty, we correctly classified 86% of them.
LOGISTIC REGRESSION VARIABLES verdict
/METHOD=ENTER d_excitd_calmd_indepd_sincerd_warmd_attracd_kindd_intelld_strongd_sophisd_happyp_excitp_calmp_indepp_sincerp_warmp_attracp_kindp_intellp_strongp_sophisp_happy
/CRITERIA=PIN(.05) POUT(.10) ITERATE(20) CUT(.5).
Block 0: Beginning Block
Classification Tablea,bObserved / Predicted
verdict / Percentage Correct
Guilty / Not_G
Step 0 / verdict / Guilty / 95 / 0 / 100.0
Not_G / 50 / 0 / .0
Overall Percentage / 65.5
a. Constant is included in the model.
b. The cut value is .500
Variables in the Equation
B / S.E. / Wald / df / Sig. / Exp(B)
Step 0 / Constant / -.642 / .175 / 13.496 / 1 / .000 / .526
Variables not in the Equation
Score / df / Sig.
Step 0 / Variables / d_excit / 4.585 / 1 / .032
d_calm / 15.510 / 1 / .000
d_indep / 6.992 / 1 / .008
d_sincer / 40.602 / 1 / .000
d_warm / 25.113 / 1 / .000
d_attrac / 7.058 / 1 / .008
d_kind / 32.621 / 1 / .000
d_intell / 7.539 / 1 / .006
d_strong / 10.698 / 1 / .001
d_sophis / 11.638 / 1 / .001
d_happy / 26.541 / 1 / .000
p_excit / .340 / 1 / .560
p_calm / .000 / 1 / .989
p_indep / .678 / 1 / .410
p_sincer / 32.822 / 1 / .000
p_warm / 39.406 / 1 / .000
p_attrac / 12.367 / 1 / .000
p_kind / 28.990 / 1 / .000
p_intell / 10.950 / 1 / .001
p_strong / 7.343 / 1 / .007
p_sophis / 6.546 / 1 / .011
p_happy / .401 / 1 / .527
Overall Statistics / 78.702 / 22 / .000
Block 1: Method = Enter
Omnibus Tests of Model CoefficientsChi-square / df / Sig.
Step 1 / Step / 119.275 / 22 / .000
Block / 119.275 / 22 / .000
Model / 119.275 / 22 / .000
Model Summary
Step / -2 Log likelihood / Cox & Snell R Square / Nagelkerke R Square
1 / 67.539a / .561 / .774
a. Estimation terminated at iteration number 7 because parameter estimates changed by less than .001.
Classification Tablea
Observed / Predicted
verdict / Percentage Correct
Guilty / Not_G
Step 1 / verdict / Guilty / 87 / 8 / 91.6
Not_G / 8 / 42 / 84.0
Overall Percentage / 89.0
a. The cut value is .500
Variables in the Equation
B / S.E. / Wald / df / Sig. / Exp(B)
Step 1a / d_excit / .288 / .291 / .980 / 1 / .322 / 1.334
d_calm / .099 / .209 / .224 / 1 / .636 / 1.104
d_indep / -.029 / .212 / .019 / 1 / .890 / .971
d_sincer / .808 / .346 / 5.436 / 1 / .020 / 2.243
d_warm / -.749 / .404 / 3.447 / 1 / .063 / .473
d_attrac / -.130 / .184 / .497 / 1 / .481 / .878
d_kind / .697 / .382 / 3.323 / 1 / .068 / 2.007
d_intell / .002 / .352 / .000 / 1 / .996 / 1.002
d_strong / .056 / .409 / .019 / 1 / .892 / 1.057
d_sophis / .153 / .393 / .153 / 1 / .696 / 1.166
d_happy / .592 / .334 / 3.142 / 1 / .076 / 1.807
p_excit / .448 / .348 / 1.655 / 1 / .198 / 1.565
p_calm / .545 / .282 / 3.728 / 1 / .054 / 1.724
p_indep / .179 / .223 / .645 / 1 / .422 / 1.196
p_sincer / -.092 / .306 / .091 / 1 / .763 / .912
p_warm / -.991 / .355 / 7.815 / 1 / .005 / .371
p_attrac / -.049 / .224 / .048 / 1 / .827 / .952
p_kind / -.496 / .350 / 2.005 / 1 / .157 / .609
p_intell / -.458 / .330 / 1.926 / 1 / .165 / .632
p_strong / -.729 / .297 / 6.031 / 1 / .014 / .482
p_sophis / -.252 / .284 / .788 / 1 / .375 / .777
p_happy / .313 / .304 / 1.062 / 1 / .303 / 1.368
Constant / -1.644 / 3.194 / .265 / 1 / .607 / .193
a. Variable(s) entered on step 1: d_excit, d_calm, d_indep, d_sincer, d_warm, d_attrac, d_kind, d_intell, d_strong, d_sophis, d_happy, p_excit, p_calm, p_indep, p_sincer, p_warm, p_attrac, p_kind, p_intell, p_strong, p_sophis, p_happy.
Here is the Discriminant Function Analysis Done With SAS
DATAseckel; INFILE'C:\Users\Vati\Documents\_XYZZY\_Stats\StatData\harass90.dat'; INPUT VERDICT $ 6
D_excit16D_calm17D_indep18D_sincer19D_warm20D_attrac21
D_kind22D_intell23D_strong24D_sophis25D_happy26
P_excit28P_calm29P_indep30P_sincer31P_warm32P_attrac33
P_kind34P_intell35P_strong36P_sophis37P_happy38;
If verdict = 'Y'thenverdic = 1; elseverdic = 2;
PROCDISCRIMsimpleanovacanonicallisterr;
CLASS verdict; VARD_excit -- P_happy;
PRIORSproportional;
PROCREG; MODELverdic = D_excit -- P_happy / stb; run;
2 GROUP DFA, Harass90 StudyThe DISCRIM Procedure
Total Sample Size / 145 / DF Total / 144Variables / 22 / DF Within Classes / 143
Classes / 2 / DF Between Classes / 1
Number of Observations Read / 145
Number of Observations Used / 145
Class Level Information
VERDICT / Variable
Name / Frequency / Weight / Proportion / Prior
Probability
N / N / 50 / 50.0000 / 0.344828 / 0.344828
Y / Y / 95 / 95.0000 / 0.655172 / 0.655172
The DISCRIM Procedure
Simple Statistics
Total-SampleVariable / N / Sum / Mean / Variance / Standard
Deviation
D_excit / 145 / 661.00000 / 4.55862 / 3.56772 / 1.8888
D_calm / 145 / 862.00000 / 5.94483 / 4.14971 / 2.0371
D_indep / 145 / 919.00000 / 6.33793 / 4.53084 / 2.1286
D_sincer / 145 / 722.00000 / 4.97931 / 4.49262 / 2.1196
D_warm / 145 / 752.00000 / 5.18621 / 4.36092 / 2.0883
D_attrac / 145 / 709.00000 / 4.88966 / 10.25163 / 3.2018
D_kind / 145 / 797.00000 / 5.49655 / 4.25172 / 2.0620
D_intell / 145 / 977.00000 / 6.73793 / 2.77807 / 1.6668
D_strong / 145 / 850.00000 / 5.86207 / 3.91140 / 1.9777
D_sophis / 145 / 841.00000 / 5.80000 / 3.81389 / 1.9529
D_happy / 145 / 838.00000 / 5.77931 / 3.38151 / 1.8389
P_excit / 145 / 705.00000 / 4.86207 / 3.36973 / 1.8357
P_calm / 145 / 621.00000 / 4.28276 / 3.25977 / 1.8055
P_indep / 145 / 763.00000 / 5.26207 / 4.62529 / 2.1506
P_sincer / 145 / 823.00000 / 5.67586 / 4.05393 / 2.0134
P_warm / 145 / 809.00000 / 5.57931 / 3.09262 / 1.7586
P_attrac / 145 / 761.00000 / 5.24828 / 10.31293 / 3.2114
P_kind / 145 / 851.00000 / 5.86897 / 3.37854 / 1.8381
P_intell / 145 / 844.00000 / 5.82069 / 2.70374 / 1.6443
P_strong / 145 / 724.00000 / 4.99310 / 3.43745 / 1.8540
P_sophis / 145 / 723.00000 / 4.98621 / 3.76370 / 1.9400
P_happy / 145 / 545.00000 / 3.75862 / 3.68439 / 1.9195
VERDICT = N
Variable / N / Sum / Mean / Variance / Standard
Deviation
D_excit / 50 / 251.00000 / 5.02000 / 3.36694 / 1.8349
D_calm / 50 / 343.00000 / 6.86000 / 3.14327 / 1.7729
D_indep / 50 / 349.00000 / 6.98000 / 3.73429 / 1.9324
D_sincer / 50 / 326.00000 / 6.52000 / 2.09143 / 1.4462
D_warm / 50 / 319.00000 / 6.38000 / 2.32204 / 1.5238
D_attrac / 50 / 293.00000 / 5.86000 / 8.36776 / 2.8927
D_kind / 50 / 342.00000 / 6.84000 / 2.54531 / 1.5954
D_intell / 50 / 363.00000 / 7.26000 / 2.15551 / 1.4682
D_strong / 50 / 330.00000 / 6.60000 / 2.36735 / 1.5386
D_sophis / 50 / 328.00000 / 6.56000 / 2.61878 / 1.6183
D_happy / 50 / 343.00000 / 6.86000 / 2.28612 / 1.5120
P_excit / 50 / 237.00000 / 4.74000 / 4.27796 / 2.0683
P_calm / 50 / 214.00000 / 4.28000 / 3.22612 / 1.7961
P_indep / 50 / 253.00000 / 5.06000 / 4.18000 / 2.0445
P_sincer / 50 / 218.00000 / 4.36000 / 2.84735 / 1.6874
P_warm / 50 / 216.00000 / 4.32000 / 2.18122 / 1.4769
P_attrac / 50 / 198.00000 / 3.96000 / 9.22286 / 3.0369
P_kind / 50 / 237.00000 / 4.74000 / 3.25755 / 1.8049
P_intell / 50 / 260.00000 / 5.20000 / 2.81633 / 1.6782
P_strong / 50 / 221.00000 / 4.42000 / 2.28939 / 1.5131
P_sophis / 50 / 221.00000 / 4.42000 / 3.59551 / 1.8962
P_happy / 50 / 181.00000 / 3.62000 / 3.09755 / 1.7600
VERDICT = Y
Variable / N / Sum / Mean / Variance / Standard
Deviation
D_excit / 95 / 410.00000 / 4.31579 / 3.53751 / 1.8808
D_calm / 95 / 519.00000 / 5.46316 / 4.03852 / 2.0096
D_indep / 95 / 570.00000 / 6.00000 / 4.65957 / 2.1586
D_sincer / 95 / 396.00000 / 4.16842 / 3.86495 / 1.9659
D_warm / 95 / 433.00000 / 4.55789 / 4.31310 / 2.0768
D_attrac / 95 / 416.00000 / 4.37895 / 10.57828 / 3.2524
D_kind / 95 / 455.00000 / 4.78947 / 3.72116 / 1.9290
D_intell / 95 / 614.00000 / 6.46316 / 2.91086 / 1.7061
D_strong / 95 / 520.00000 / 5.47368 / 4.31579 / 2.0774
D_sophis / 95 / 513.00000 / 5.40000 / 4.00851 / 2.0021
D_happy / 95 / 495.00000 / 5.21053 / 3.04031 / 1.7436
P_excit / 95 / 468.00000 / 4.92632 / 2.92004 / 1.7088
P_calm / 95 / 407.00000 / 4.28421 / 3.31198 / 1.8199
P_indep / 95 / 510.00000 / 5.36842 / 4.87346 / 2.2076
P_sincer / 95 / 605.00000 / 6.36842 / 3.32027 / 1.8222
P_warm / 95 / 593.00000 / 6.24211 / 2.31310 / 1.5209
P_attrac / 95 / 563.00000 / 5.92632 / 9.64345 / 3.1054
P_kind / 95 / 614.00000 / 6.46316 / 2.44278 / 1.5629
P_intell / 95 / 584.00000 / 6.14737 / 2.36103 / 1.5366
P_strong / 95 / 503.00000 / 5.29474 / 3.80582 / 1.9509
P_sophis / 95 / 502.00000 / 5.28421 / 3.63113 / 1.9056
P_happy / 95 / 364.00000 / 3.83158 / 4.01389 / 2.0035
The DISCRIM Procedure
Univariate Test StatisticsF Statistics, Num DF=1, Den DF=143
Variable / Total
Standard
Deviation / Pooled
Standard
Deviation / Between
Standard
Deviation / R-Square / R-Square
/ (1-RSq) / F Value / PrF
D_excit / 1.8888 / 1.8652 / 0.4734 / 0.0316 / 0.0327 / 4.67 / 0.0324
D_calm / 2.0371 / 1.9318 / 0.9389 / 0.1070 / 0.1198 / 17.13 / <.0001
D_indep / 2.1286 / 2.0839 / 0.6587 / 0.0482 / 0.0507 / 7.24 / 0.0080
D_sincer / 2.1196 / 1.8048 / 1.5807 / 0.2800 / 0.3889 / 55.62 / <.0001
D_warm / 2.0883 / 1.9055 / 1.2248 / 0.1732 / 0.2095 / 29.95 / <.0001
D_attrac / 3.2018 / 3.1338 / 0.9956 / 0.0487 / 0.0512 / 7.32 / 0.0077
D_kind / 2.0620 / 1.8216 / 1.3783 / 0.2250 / 0.2903 / 41.51 / <.0001
D_intell / 1.6668 / 1.6285 / 0.5356 / 0.0520 / 0.0548 / 7.84 / 0.0058
D_strong / 1.9777 / 1.9100 / 0.7571 / 0.0738 / 0.0797 / 11.39 / 0.0010
D_sophis / 1.9529 / 1.8794 / 0.7797 / 0.0803 / 0.0873 / 12.48 / 0.0006
D_happy / 1.8389 / 1.6679 / 1.1088 / 0.1830 / 0.2240 / 32.04 / <.0001
P_excit / 1.8357 / 1.8399 / 0.1252 / 0.0023 / 0.0023 / 0.34 / 0.5631
P_calm / 1.8055 / 1.8118 / 0.002830 / 0.0000 / 0.0000 / 0.00 / 0.9894
P_indep / 2.1506 / 2.1531 / 0.2073 / 0.0047 / 0.0047 / 0.67 / 0.4137
P_sincer / 2.0134 / 1.7771 / 1.3500 / 0.2264 / 0.2926 / 41.84 / <.0001
P_warm / 1.7586 / 1.5060 / 1.2920 / 0.2718 / 0.3732 / 53.36 / <.0001
P_attrac / 3.2114 / 3.0821 / 1.3217 / 0.0853 / 0.0932 / 13.33 / 0.0004
P_kind / 1.8381 / 1.6498 / 1.1583 / 0.1999 / 0.2499 / 35.73 / <.0001
P_intell / 1.6443 / 1.5865 / 0.6368 / 0.0755 / 0.0817 / 11.68 / 0.0008
P_strong / 1.8540 / 1.8128 / 0.5880 / 0.0506 / 0.0533 / 7.63 / 0.0065
P_sophis / 1.9400 / 1.9023 / 0.5809 / 0.0451 / 0.0473 / 6.76 / 0.0103
P_happy / 1.9195 / 1.9235 / 0.1422 / 0.0028 / 0.0028 / 0.40 / 0.5300
Average R-Square
Unweighted / 0.1030531
Weighted by Variance / 0.0998517
The DISCRIM Procedure
Canonical Discriminant Analysis
CanonicalCorrelation / Adjusted
Canonical
Correlation / Approximate
Standard
Error / Squared
Canonical
Correlation / Eigenvalues of Inv(E)*H
= CanRsq/(1-CanRsq) / TestofH0:Thecanonicalcorrelationsinthecurrentrowandallthatfollowarezero
Eigenvalue / Difference / Proportion / Cumulative / Likelihood
Ratio / Approximate
F Value / NumDF / DenDF / PrF
1 / 0.736729 / 0.692645 / 0.038103 / 0.542770 / 1.1871 / 1.0000 / 1.0000 / 0.45723020 / 6.58 / 22 / 122 / <.0001
Note: / The F statistic is exact.
Pooled Within Canonical Structure
Variable / Can1
D_excit / 0.165854
D_calm / 0.317647
D_indep / 0.206590
D_sincer / 0.572386
D_warm / 0.420072
D_attrac / 0.207611
D_kind / 0.494499
D_intell / 0.214950
D_strong / 0.259047
D_sophis / 0.271133
D_happy / 0.434440
P_excit / -0.044484
P_calm / -0.001021
P_indep / -0.062927
P_sincer / -0.496464
P_warm / -0.560684
P_attrac / -0.280260
P_kind / -0.458816
P_intell / -0.262318
P_strong / -0.211975
P_sophis / -0.199565
P_happy / -0.048321
Pooled Within-Class Standardized
Canonical Coefficients
Variable / Can1
D_excit / 0.1541140637
D_calm / 0.1523704773
D_indep / 0.0073134520
D_sincer / 0.3010566728
D_warm / -.4050223910
D_attrac / 0.0109195313
D_kind / 0.3821464501
D_intell / 0.0007561941
D_strong / 0.0779772017
D_sophis / 0.0037975433
D_happy / 0.2836650494
P_excit / 0.2989623192
P_calm / 0.2909494239
P_indep / 0.2616602872
P_sincer / -.3978884508
P_warm / -.3731094653
P_attrac / -.0228988069
P_kind / -.1111228607
P_intell / -.2431145298
P_strong / -.4379553438
P_sophis / 0.0074865572
P_happy / 0.0560626065
Raw Canonical Coefficients
Variable / Can1
D_excit / 0.0826249085
D_calm / 0.0788758824
D_indep / 0.0035095516
D_sincer / 0.1668105078
D_warm / -.2125567335
D_attrac / 0.0034844162
D_kind / 0.2097854697
D_intell / 0.0004643480
D_strong / 0.0408255288
D_sophis / 0.0020205680
D_happy / 0.1700733582
P_excit / 0.1624856615
P_calm / 0.1605872482
P_indep / 0.1215272156
P_sincer / -.2238928571
P_warm / -.2477553595
P_attrac / -.0074296159
P_kind / -.0673538015
P_intell / -.1532377558
P_strong / -.2415919611
P_sophis / 0.0039354313
P_happy / 0.0291459672
Class Means on Canonical
Variables
VERDICT / Can1
N / 1.491424258
Y / -0.784960136
The DISCRIM Procedure
Linear Discriminant Function forVERDICT
Variable / N / Y
Constant / -30.92984 / -29.33807
D_excit / 0.92262 / 0.73453
D_calm / 0.52585 / 0.34630
D_indep / 0.56494 / 0.55695
D_sincer / 0.42824 / 0.04852
D_warm / 0.32660 / 0.81046
D_attrac / -0.73290 / -0.74084
D_kind / 0.00781 / -0.46974
D_intell / 2.14284 / 2.14179
D_strong / 0.07928 / -0.01365
D_sophis / -0.08639 / -0.09099
D_happy / 1.50288 / 1.11572
P_excit / 1.30538 / 0.93550
P_calm / 1.12401 / 0.75845
P_indep / 0.92383 / 0.64719
P_sincer / 0.14921 / 0.65888
P_warm / 1.04596 / 1.60995
P_attrac / -0.21529 / -0.19837
P_kind / 0.35755 / 0.51087
P_intell / 0.41856 / 0.76739
P_strong / 0.16787 / 0.71783
P_sophis / -0.44340 / -0.45236
P_happy / -0.42887 / -0.49522
The DISCRIM Procedure
Classification Results for Calibration Data: WORK.SECKEL
Resubstitution Results using Linear Discriminant Function
Posterior Probability of Membershipin VERDICT
Obs / From VERDICT / Classified into
VERDICT / N / Y
1 / Y / N / * / 0.7291 / 0.2709
9 / Y / N / * / 0.6584 / 0.3416
10 / N / Y / * / 0.3733 / 0.6267
17 / Y / N / * / 0.7670 / 0.2330
20 / N / Y / * / 0.0760 / 0.9240
23 / N / Y / * / 0.1512 / 0.8488
77 / Y / N / * / 0.5424 / 0.4576
79 / Y / N / * / 0.9103 / 0.0897
86 / Y / N / * / 0.7346 / 0.2654
87 / Y / N / * / 0.5668 / 0.4332
109 / Y / N / * / 0.5151 / 0.4849
112 / Y / N / * / 0.8826 / 0.1174
114 / N / Y / * / 0.3420 / 0.6580
128 / N / Y / * / 0.4784 / 0.5216
130 / Y / N / * / 0.6275 / 0.3725
133 / N / Y / * / 0.2261 / 0.7739
137 / N / Y / * / 0.2865 / 0.7135
* Misclassified observation
The DISCRIM Procedure
Classification Summary for Calibration Data: WORK.SECKEL
Resubstitution Summary using Linear Discriminant Function
Number of Observations and PercentClassified into VERDICT
From VERDICT / N / Y / Total
N / 43
86.00
/ 7
14.00
/ 50
100.00
Y / 10
10.53
/ 85
89.47
/ 95
100.00
Total / 53
36.55
/ 92
63.45
/ 145
100.00
Priors / 0.34483
/ 0.65517
/
Error Count Estimates for VERDICT
N / Y / Total
Rate / 0.1400 / 0.1053 / 0.1172
Priors / 0.3448 / 0.6552
2 GROUP DFA, Harass90 Study
The REG Procedure
Model: MODEL1
Dependent Variable: verdic
Number of Observations Read / 145Number of Observations Used / 145
Analysis of Variance
Source / DF / Sum of
Squares / Mean
Square / F Value / PrF
Model / 22 / 17.78039 / 0.80820 / 6.58 / <.0001
Error / 122 / 14.97823 / 0.12277
Corrected Total / 144 / 32.75862
Root MSE / 0.35039 / R-Square / 0.5428
Dependent Mean / 1.34483 / Adj R-Sq / 0.4603
CoeffVar / 26.05456
Parameter Estimates
Variable / DF / Parameter
Estimate / Standard
Error / tValue / Pr|t| / Standardized
Estimate
Intercept / 1 / 1.32955 / 0.22372 / 5.94 / <.0001 / 0
D_excit / 1 / 0.01970 / 0.02500 / 0.79 / 0.4322 / 0.07802
D_calm / 1 / 0.01881 / 0.01983 / 0.95 / 0.3447 / 0.08032
D_indep / 1 / 0.00083680 / 0.01701 / 0.05 / 0.9608 / 0.00373
D_sincer / 1 / 0.03977 / 0.02705 / 1.47 / 0.1441 / 0.17675
D_warm / 1 / -0.05068 / 0.02855 / -1.77 / 0.0784 / -0.22190
D_attrac / 1 / 0.00083081 / 0.01594 / 0.05 / 0.9585 / 0.00558
D_kind / 1 / 0.05002 / 0.02818 / 1.77 / 0.0784 / 0.21625
D_intell / 1 / 0.00011072 / 0.02636 / 0.00 / 0.9967 / 0.00038690
D_strong / 1 / 0.00973 / 0.02665 / 0.37 / 0.7156 / 0.04036
D_sophis / 1 / 0.00048177 / 0.02692 / 0.02 / 0.9857 / 0.00197
D_happy / 1 / 0.04055 / 0.02405 / 1.69 / 0.0944 / 0.15634
P_excit / 1 / 0.03874 / 0.02391 / 1.62 / 0.1078 / 0.14911
P_calm / 1 / 0.03829 / 0.02034 / 1.88 / 0.0621 / 0.14494
P_indep / 1 / 0.02898 / 0.01699 / 1.71 / 0.0907 / 0.13066
P_sincer / 1 / -0.05338 / 0.02234 / -2.39 / 0.0184 / -0.22535
P_warm / 1 / -0.05907 / 0.02616 / -2.26 / 0.0257 / -0.21781
P_attrac / 1 / -0.00177 / 0.01521 / -0.12 / 0.9075 / -0.01193
P_kind / 1 / -0.01606 / 0.02789 / -0.58 / 0.5658 / -0.06189
P_intell / 1 / -0.03654 / 0.02575 / -1.42 / 0.1585 / -0.12596
P_strong / 1 / -0.05760 / 0.02093 / -2.75 / 0.0068 / -0.22392
P_sophis / 1 / 0.00093834 / 0.02194 / 0.04 / 0.9659 / 0.00382
P_happy / 1 / 0.00695 / 0.02018 / 0.34 / 0.7312 / 0.02797
The REG Procedure
Model: MODEL1
Dependent Variable: verdic