我按照吴明隆教材输入如下：

MANOVA
B1 B2 B3 B4 B5 B6 B7 B8 B9 B10 B11 WITH FAC1_1 FAC2_1 FAC3_1 FAC4_1
/DISCRIM RAW STAN ESTIM CORR ROTATE(VARIMAX) ALPHA(0.05)
/PRINT SIGNIF(EIGN DIMENR HYPOTH)
/ERROR WITHIN+RESIDUAL
/DESIGN.

得到结果如下：

* * * * * * A n a l y s i s   o f   V a r i a n c e * * * * * *

       535 cases accepted.
         0 cases rejected because of out-of-range factor values.
       198 cases rejected because of missing data.
         1 non-empty cell.

         1 design will be processed.

 - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - -
C

* * * * * * A n a l y s i s   o f   V a r i a n c e -- design   1 * * * * * *

 EFFECT .. WITHIN+RESIDUAL Regression
 Adjusted Hypothesis Sum-of-Squares and Cross-Products

                    B1         B2         B3         B4         B5         B6

 B1              2.664
 B2              1.641     21.045
 B3              1.883       .016     14.894
 B4              1.182      9.888     10.678     16.200
 B5              6.332     24.612     10.039     16.876     39.930
 B6              2.000     20.839     -1.954      9.462     23.679     21.570
 B7               .261    -19.743     -2.477    -15.242    -21.301    -19.916
 B8             -5.417     -8.575    -13.836    -18.070    -22.554     -9.506
 B9              -.866     -7.366      -.718     -4.311     -9.300     -7.415
 B10            -1.802     -7.167       .154     -2.715    -10.007     -7.452
 B11            -1.710     -5.898     -1.995     -4.414     -9.500     -6.084

                    B7         B8         B9        B10        B11

 B7             24.031
 B8             12.647     28.384
 B9              7.243      4.568      2.681
 B10             5.515      4.386      2.609      3.136
 B11             5.535      6.502      2.322      2.532      2.463

 - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - -
 Eigenvalues and Canonical Correlations

 Root No.    Eigenvalue        Pct.   Cum. Pct.  Canon Cor.     Sq. Cor

        1          .225      60.857      60.857        .428        .183
        2          .074      20.129      80.985        .263        .069
        3          .058      15.612      96.598        .233        .055
        4          .013       3.402     100.000        .111        .012

 - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - -
 Dimension Reduction Analysis

 Roots        Wilks L.          F Hypoth. DF   Error DF  Sig. of F

 1 TO 4         .70967    4.24443      44.00    1991.34       .000
 2 TO 4         .86916    2.49560      30.00    1529.91       .000
 3 TO 4         .93376    2.02200      18.00    1044.00       .007
 4 TO 4         .98759     .82131       8.00     523.00       .584

C

* * * * * * A n a l y s i s   o f   V a r i a n c e -- design   1 * * * * * *

 Raw canonical coefficients for DEPENDENT variables
           Function No.

 Variable            1          2          3

 B1              -.108      -.421      1.113
 B2               .141       .204       .263
 B3              -.254      -.680      -.287
 B4               .051      -.299      -.360
 B5               .008       .022       .134
 B6               .472      -.033       .296
 B7              -.899      -.428       .876
 B8              -.144       .463      -.062
 B9              -.814      -.278       .462
 B10             -.421      -.085     -1.040
 B11             -.382       .894      -.458

 - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - -
 Standardized canonical coefficients for DEPENDENT variables
           Function No.

 Variable            1          2          3

 B1              -.054      -.210       .555
 B2               .152       .220       .283
 B3              -.230      -.617      -.260
 B4               .056      -.327      -.393
 B5               .018       .048       .284
 B6               .457      -.032       .286
 B7              -.600      -.285       .585
 B8              -.179       .577      -.078
 B9              -.314      -.107       .178
 B10             -.171      -.034      -.422
 B11             -.143       .335      -.171

 - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - -
 Correlations between DEPENDENT and canonical variables
           Function No.

 Variable            1          2          3

 B1               .065      -.331       .461
 B2               .413       .059       .103
 B3               .014      -.619      -.232
 B4               .249      -.368      -.292
 B5               .243      -.202       .164
 B6               .474       .087       .166
 B7              -.708       .013       .406
 B8              -.214       .587       .007
 B9              -.421       .056      -.094
C

* * * * * * A n a l y s i s   o f   V a r i a n c e -- design   1 * * * * * *

 Correlations between DEPENDENT and canonical variables       (Cont.)
           Function No.
 Variable            1          2          3

 B10             -.367       .065      -.437
 B11             -.358       .301      -.239

 - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - -
 Variance in dependent variables explained by canonical variables

 CAN. VAR.  Pct Var DE Cum Pct DE Pct Var CO Cum Pct CO

        1       13.708     13.708      2.515      2.515
        2       10.205     23.913       .706      3.221
        3        7.622     31.535       .415      3.637

 - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - -
 Raw canonical coefficients for COVARIATES
           Function No.

 COVARIATE           1          2          3

 FAC1_1           .297      -.457       .764
 FAC2_1           .435       .842       .200
 FAC3_1           .747      -.293      -.544
 FAC4_1           .446      -.012       .196

 - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - -
 Standardized canonical coefficients for COVARIATES
           CAN. VAR.

 COVARIATE           1          2          3

 FAC1_1           .297      -.456       .763
 FAC2_1           .435       .842       .200
 FAC3_1           .746      -.293      -.544
 FAC4_1           .450      -.012       .198

 - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - -
 Correlations between COVARIATES and canonical variables
           CAN. VAR.

 Covariate           1          2          3

 FAC1_1           .288      -.436       .785
 FAC2_1           .413       .845       .229
 FAC3_1           .718      -.307      -.575
 FAC4_1           .443      -.019       .215

C

* * * * * * A n a l y s i s   o f   V a r i a n c e -- design   1 * * * * * *

 Variance in covariates explained by canonical variables

 CAN. VAR.  Pct Var DE Cum Pct DE Pct Var CO Cum Pct CO

        1        4.423      4.423     24.104     24.104
        2        1.726      6.149     24.950     49.053
        3        1.424      7.573     26.132     75.185

 - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - -
 VARIMAX rotated correlations between canonical variables and COVARIATES
           Can. Var.

 DEP. VAR.           1          2          3

 B1               .307       .650      -.610
 B2              -.374       .646       .615
 B3              -.835      -.200      -.451
 B4              -.226       .390      -.197
 B5               .065       .120       .000
 B6              -.201       .467      -.231
 B7              1.303       .132      -.213
 B8              -.017       .017       .488
 B9               .969      -.116      -.046
 B10             -.238     -1.080       .205
 B11             -.141      -.294      1.024

 - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - -
 Transformation Matrix

                     1          2          3

        1        -.796       .501      -.339
        2        -.207       .301       .931
        3         .568       .812      -.136

 - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - -
 Regression analysis for WITHIN+RESIDUAL error term
 --- Individual Univariate .9500 confidence intervals
 Dependent variable .. B1          性别

 COVARIATE            B        Beta   Std. Err.     t-Value   Sig. of t

 FAC1_1          .06687      .13384        .021       3.111        .002
 FAC2_1         -.01836     -.03680        .021       -.855        .393
 FAC3_1         -.00473     -.00946        .021       -.220        .826
 FAC4_1          .01260      .02549        .021        .593        .554
C

* * * * * * A n a l y s i s   o f   V a r i a n c e -- design   1 * * * * * *

 Regression analysis for WITHIN+RESIDUAL error term  (Cont.)
 Dependent variable .. B1          性别                                     (Cont.)
 COVARIATE   Lower -95%  CL- Upper

 FAC1_1            .025        .109
 FAC2_1           -.061        .024
 FAC3_1           -.047        .038
 FAC4_1           -.029        .054
 Dependent variable .. B2          居住地

 COVARIATE            B        Beta   Std. Err.     t-Value   Sig. of t

 FAC1_1          .05271      .04889        .046       1.144        .253
 FAC2_1          .09063      .08415        .046       1.970        .049
 FAC3_1          .11163      .10357        .046       2.423        .016
 FAC4_1          .12961      .12155        .046       2.847        .005

 COVARIATE   Lower -95%  CL- Upper

 FAC1_1           -.038        .143
 FAC2_1            .000        .181
 FAC3_1            .021        .202
 FAC4_1            .040        .219
 Dependent variable .. B3          居住年限

 COVARIATE            B        Beta   Std. Err.     t-Value   Sig. of t

 FAC1_1          .01054      .01161        .039        .272        .786
 FAC2_1         -.14702     -.16201        .039      -3.792        .000
 FAC3_1          .05893      .06489        .039       1.518        .130
 FAC4_1          .04632      .05156        .038       1.207        .228

 COVARIATE   Lower -95%  CL- Upper

 FAC1_1           -.066        .087
 FAC2_1           -.223       -.071
 FAC3_1           -.017        .135
 FAC4_1           -.029        .122
 Dependent variable .. B4          距离琶洲会展中心的车程

 COVARIATE            B        Beta   Std. Err.     t-Value   Sig. of t

 FAC1_1          .02579      .02357        .047        .549        .583
 FAC2_1         -.05363     -.04906        .047      -1.143        .253
 FAC3_1          .15836      .14477        .047       3.372        .001
 FAC4_1          .03936      .03637        .046        .848        .397
C

* * * * * * A n a l y s i s   o f   V a r i a n c e -- design   1 * * * * * *

 Regression analysis for WITHIN+RESIDUAL error term  (Cont.)
 Dependent variable .. B4          距离琶洲会展中心的车程                   (Cont.)
 COVARIATE   Lower -95%  CL- Upper

 FAC1_1           -.066        .118
 FAC2_1           -.146        .039
 FAC3_1            .066        .251
 FAC4_1           -.052        .131
 Dependent variable .. B5          职业

 COVARIATE            B        Beta   Std. Err.     t-Value   Sig. of t

 FAC1_1          .14976      .07069        .091       1.640        .102
 FAC2_1         -.00339     -.00160        .091       -.037        .970
 FAC3_1          .13242      .06253        .091       1.450        .148
 FAC4_1          .18736      .08943        .090       2.076        .038

 COVARIATE   Lower -95%  CL- Upper

 FAC1_1           -.030        .329
 FAC2_1           -.183        .176
 FAC3_1           -.047        .312
 FAC4_1            .010        .365
 Dependent variable .. B6          年龄

 COVARIATE            B        Beta   Std. Err.     t-Value   Sig. of t

 FAC1_1          .07452      .07702        .041       1.812        .071
 FAC2_1          .10974      .11355        .041       2.671        .008
 FAC3_1          .11801      .12201        .041       2.869        .004
 FAC4_1          .10010      .10461        .041       2.462        .014

 COVARIATE   Lower -95%  CL- Upper

 FAC1_1           -.006        .155
 FAC2_1            .029        .190
 FAC3_1            .037        .199
 FAC4_1            .020        .180
 Dependent variable .. B7          文化程度

 COVARIATE            B        Beta   Std. Err.     t-Value   Sig. of t

 FAC1_1         -.01231     -.01843        .028       -.447        .655
 FAC2_1         -.07303     -.10945        .027      -2.656        .008
 FAC3_1         -.18593     -.27843        .028      -6.754        .000
 FAC4_1         -.07926     -.11997        .027      -2.913        .004
C

* * * * * * A n a l y s i s   o f   V a r i a n c e -- design   1 * * * * * *

 Regression analysis for WITHIN+RESIDUAL error term  (Cont.)
 Dependent variable .. B7          文化程度                                 (Cont.)
 COVARIATE   Lower -95%  CL- Upper

 FAC1_1           -.066        .042
 FAC2_1           -.127       -.019
 FAC3_1           -.240       -.132
 FAC4_1           -.133       -.026
 Dependent variable .. B8          月均实际收入

 COVARIATE            B        Beta   Std. Err.     t-Value   Sig. of t

 FAC1_1         -.13957     -.11176        .053      -2.616        .009
 FAC2_1          .09890      .07929        .053       1.856        .064
 FAC3_1         -.15676     -.12557        .053      -2.938        .003
 FAC4_1         -.00631     -.00511        .053       -.120        .905

 COVARIATE   Lower -95%  CL- Upper

 FAC1_1           -.244       -.035
 FAC2_1           -.006        .204
 FAC3_1           -.262       -.052
 FAC4_1           -.110        .097
 Dependent variable .. B9          是否直接为广交会工作

 COVARIATE            B        Beta   Std. Err.     t-Value   Sig. of t

 FAC1_1         -.02657     -.06882        .016      -1.611        .108
 FAC2_1         -.02485     -.06446        .016      -1.509        .132
 FAC3_1         -.04667     -.12094        .016      -2.829        .005
 FAC4_1         -.04058     -.10629        .016      -2.489        .013

 COVARIATE   Lower -95%  CL- Upper

 FAC1_1           -.059        .006
 FAC2_1           -.057        .008
 FAC3_1           -.079       -.014
 FAC4_1           -.073       -.009
 Dependent variable .. B10          是否在会展业或旅游业工作

 COVARIATE            B        Beta   Std. Err.     t-Value   Sig. of t

 FAC1_1         -.05147     -.12669        .017      -2.968        .003
 FAC2_1         -.02863     -.07055        .017      -1.653        .099
 FAC3_1         -.02556     -.06292        .017      -1.474        .141
 FAC4_1         -.04217     -.10495        .017      -2.460        .014
C

* * * * * * A n a l y s i s   o f   V a r i a n c e -- design   1 * * * * * *

 Regression analysis for WITHIN+RESIDUAL error term  (Cont.)
 Dependent variable .. B10          是否在会展业或旅游业工作                 (Cont.)
 COVARIATE   Lower -95%  CL- Upper

 FAC1_1           -.086       -.017
 FAC2_1           -.063        .005
 FAC3_1           -.060        .009
 FAC4_1           -.076       -.008
 Dependent variable .. B11          与广交会的参展者接触

 COVARIATE            B        Beta   Std. Err.     t-Value   Sig. of t

 FAC1_1         -.04614     -.12310        .016      -2.880        .004
 FAC2_1         -.00389     -.01040        .016       -.243        .808
 FAC3_1         -.03985     -.10637        .016      -2.487        .013
 FAC4_1         -.03114     -.08402        .016      -1.967        .050

 COVARIATE   Lower -95%  CL- Upper

 FAC1_1           -.078       -.015
 FAC2_1           -.035        .028
 FAC3_1           -.071       -.008
 FAC4_1           -.062        .000

 - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - -
C

* * * * * * A n a l y s i s   o f   V a r i a n c e -- design   1 * * * * * *

 EFFECT .. CONSTANT
 Adjusted Hypothesis Sum-of-Squares and Cross-Products

                    B1         B2         B3         B4         B5         B6

 B1           1252.370
 B2           2058.764   3384.390
 B3           1598.761   2628.194   2040.960
 B4           2375.289   3904.724   3032.267   4505.056
 B5           2863.224   4706.838   3655.159   5430.491   6546.030
 B6           2438.696   4008.959   3113.211   4625.317   5575.456   4748.787
 B7           2432.247   3998.357   3104.978   4613.084   5560.710   4736.229
 B8           2726.207   4481.596   3480.244   5170.620   6232.775   5308.647
 B9           1485.517   2442.033   1896.394   2817.483   3396.255   2892.695
 B10          1465.611   2409.309   1870.982   2779.729   3350.744   2853.932
 B11          1497.108   2461.087   1911.190   2839.467   3422.754   2915.265

                    B7         B8         B9        B10        B11

 B7           4723.703
 B8           5294.607   5934.511
 B9           2885.045   3233.730   1762.067
 B10          2846.385   3190.397   1738.455   1715.160
 B11          2907.555   3258.961   1775.816   1752.020   1789.672

 - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - -
 Eigenvalues and Canonical Correlations

 Root No.    Eigenvalue        Pct.   Cum. Pct.  Canon Cor.

        1       128.030     100.000     100.000        .996

 - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - -
 EFFECT .. CONSTANT (Cont.)
 Raw discriminant function coefficients
           Function No.

 Variable            1

 B1              -.814
 B2              -.264
 B3              -.237
 B4              -.188
 B5              -.078
 B6              -.202
 B7             -1.032
 B8              -.156
 B9              -.815
 B10             -.597
 B11             -.730
C

* * * * * * A n a l y s i s   o f   V a r i a n c e -- design   1 * * * * * *

 EFFECT .. CONSTANT (Cont.)
 Raw discriminant function coefficients (Cont.)
           Function No.
 Variable            1

 - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - -
 Standardized discriminant function coefficients
           Function No.

 Variable            1

 B1              -.404
 B2              -.281
 B3              -.213
 B4              -.203
 B5              -.163
 B6              -.192
 B7              -.656
 B8              -.192
 B9              -.310
 B10             -.239
 B11             -.270

 - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - -
 Estimates of effects for canonical variables
           Canonical Variable

  Parameter          1

        1      -11.286

 - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - -
 Correlations between DEPENDENT and canonical variables
           Canonical Variable

 Variable            1

 B1              -.274
 B2              -.210
 B3              -.194
 B4              -.238
 B5              -.147
 B6              -.279
 B7              -.415
 B8              -.240
 B9              -.424
 B10             -.397
 B11             -.439

C

* * * * * * A n a l y s i s   o f   V a r i a n c e -- design   1 * * * * * *

 EFFECT .. CONSTANT (Cont.)

B1—B11分别是人口统计学变量，FAC1_1 到FAC4_1是效标变量，是因子分析中提取的4个公因子。我想找出特征值、典型相关系数、Wilk‘s lambda，F值、df以及Sig。