查看“Mplus Path Analysis Example 3.11”的源代码

==示意图==
[[文件:0311.jpg | center ]]
==代码与注释==
<pre>TITLE:	this is an example of a path analysis  ! 标题
	with continuous dependent variables
DATA:	 FILE IS ex3.11.dat;                  ! 数据文件
VARIABLE:NAMES ARE y1-y3 x1-x3;               ! 数据文件中变量的名称，按顺序：y1,y2,y3,x1,x2,x3
MODEL:	y1 y2 ON x1 x2 x3;                    ! x1,x2,x3分别到y1,y2的回归
           y3 ON y1 y2 x2;                    ! x2,y1,y2到y3的回归
OUTPUT:  STANDARDIZED;                        ! 结果：标准化结果。</pre>

==结果==
Mplus VERSION 7.4
MUTHEN & MUTHEN
03/21/2017   9:59 PM

INPUT INSTRUCTIONS

  TITLE:	this is an example of a path analysis  ! 标题
  	with continuous dependent variables
  DATA:	 FILE IS E:\2016\Mplus\MPlus+7.4+64位\Mplus Examples\User's Guide Examples\ex3.11.da
  VARIABLE:NAMES ARE y1-y3 x1-x3;               ! 数据文件中变量的名称，按顺序：y1,y2,y3,x1,
  MODEL:	y1 y2 ON x1 x2 x3;                    ! x1,x2,x3分别到y1,y2的回归
             y3 ON y1 y2 x2;                    ! x2,y1,y2到y3的回归
  OUTPUT:  STANDARDIZED;                        ! 结果：标准化结果。



*** WARNING
  Input line exceeded 90 characters. Some input may be truncated.
  DATA:	 FILE IS E:\2016\Mplus\MPlus+7.4+64位\Mplus Examples\User's Guide Examples\ex3.11.dat
*** WARNING
  Input line exceeded 90 characters. Some input may be truncated.
  VARIABLE:NAMES ARE y1-y3 x1-x3;               ! 数据文件中变量的名称，按顺序：y1,y2,y3,x1,x
*** WARNING in DATA command
  Statement not terminated by a semicolon:
  FILE IS E:\2016\Mplus\MPlus+7.4+64位\Mplus Examples\User's Guide Examples\ex3.11.dat
   3 WARNING(S) FOUND IN THE INPUT INSTRUCTIONS



this is an example of a path analysis
with continuous dependent variables

SUMMARY OF ANALYSIS

Number of groups                                                 1
Number of observations                                         500

Number of dependent variables                                    3
Number of independent variables                                  3
Number of continuous latent variables                            0

Observed dependent variables

  Continuous
   Y1          Y2          Y3

Observed independent variables
   X1          X2          X3


Estimator                                                       ML
Information matrix                                        OBSERVED
Maximum number of iterations                                  1000
Convergence criterion                                    0.500D-04
Maximum number of steepest descent iterations                   20

Input data file(s)
  E:\2016\Mplus\MPlus+7.4+64位\Mplus Examples\User's Guide Examples\ex3.11.dat

Input data format  FREE



THE MODEL ESTIMATION TERMINATED NORMALLY



MODEL FIT INFORMATION

Number of Free Parameters                       15

Loglikelihood

          H0 Value                       -2364.002
          H1 Value                       -2363.623

Information Criteria

          Akaike (AIC)                    4758.004
          Bayesian (BIC)                  4821.223
          Sample-Size Adjusted BIC        4773.612
            (n* = (n + 2) / 24)

Chi-Square Test of Model Fit

          Value                              0.757
          Degrees of Freedom                     3
          P-Value                           0.8598

RMSEA (Root Mean Square Error Of Approximation)

          Estimate                           0.000
          90 Percent C.I.                    0.000  0.040
          Probability RMSEA <= .05           0.972

CFI/TLI

          CFI                                1.000
          TLI                                1.002

Chi-Square Test of Model Fit for the Baseline Model

          Value                           4107.449
          Degrees of Freedom                    12
          P-Value                           0.0000

SRMR (Standardized Root Mean Square Residual)

          Value                              0.001



MODEL RESULTS

                                                    Two-Tailed
                    Estimate       S.E.  Est./S.E.    P-Value

 Y1       ON
    X1                 0.992      0.043     22.979      0.000
    X2                 2.001      0.045     44.618      0.000
    X3                 3.052      0.045     68.274      0.000

 Y2       ON
    X1                 2.935      0.050     59.002      0.000
    X2                 1.992      0.052     38.556      0.000
    X3                 1.023      0.051     19.869      0.000

 Y3       ON
    Y1                 0.507      0.020     25.491      0.000
    Y2                 0.746      0.020     37.914      0.000
    X2                 1.046      0.072     14.540      0.000

 Intercepts
    Y1                -1.064      0.046    -23.059      0.000
    Y2                -0.042      0.053     -0.784      0.433
    Y3                 1.068      0.063     17.093      0.000

 Residual Variances
    Y1                 1.061      0.067     15.811      0.000
    Y2                 1.408      0.089     15.811      0.000
    Y3                 1.717      0.109     15.811      0.000


STANDARDIZED MODEL RESULTS


STDYX Standardization

                                                    Two-Tailed
                    Estimate       S.E.  Est./S.E.    P-Value

 Y1       ON
    X1                 0.254      0.015     16.801      0.000
    X2                 0.495      0.020     24.957      0.000
    X3                 0.758      0.020     37.078      0.000

 Y2       ON
    X1                 0.759      0.021     35.491      0.000
    X2                 0.497      0.021     23.938      0.000
    X3                 0.256      0.016     15.680      0.000

 Y3       ON
    Y1                 0.375      0.016     23.022      0.000
    Y2                 0.547      0.016     34.161      0.000
    X2                 0.192      0.014     13.462      0.000

 Intercepts
    Y1                -0.255      0.014    -18.599      0.000
    Y2                -0.010      0.013     -0.784      0.433
    Y3                 0.190      0.012     15.238      0.000

 Residual Variances
    Y1                 0.061      0.005     11.537      0.000
    Y2                 0.082      0.007     11.671      0.000
    Y3                 0.054      0.005     11.497      0.000


STDY Standardization

                                                    Two-Tailed
                    Estimate       S.E.  Est./S.E.    P-Value

 Y1       ON
    X1                 0.238      0.012     19.425      0.000
    X2                 0.479      0.017     28.186      0.000
    X3                 0.731      0.023     32.092      0.000

 Y2       ON
    X1                 0.710      0.022     32.309      0.000
    X2                 0.482      0.018     27.283      0.000
    X3                 0.247      0.014     17.668      0.000

 Y3       ON
    Y1                 0.375      0.016     23.022      0.000
    Y2                 0.547      0.016     34.161      0.000
    X2                 0.186      0.014     13.468      0.000

 Intercepts
    Y1                -0.255      0.014    -18.599      0.000
    Y2                -0.010      0.013     -0.784      0.433
    Y3                 0.190      0.012     15.238      0.000

 Residual Variances
    Y1                 0.061      0.005     11.537      0.000
    Y2                 0.082      0.007     11.671      0.000
    Y3                 0.054      0.005     11.497      0.000


STD Standardization

                                                    Two-Tailed
                    Estimate       S.E.  Est./S.E.    P-Value

 Y1       ON
    X1                 0.992      0.043     22.979      0.000
    X2                 2.001      0.045     44.618      0.000
    X3                 3.052      0.045     68.274      0.000

 Y2       ON
    X1                 2.935      0.050     59.002      0.000
    X2                 1.992      0.052     38.556      0.000
    X3                 1.023      0.051     19.869      0.000

 Y3       ON
    Y1                 0.507      0.020     25.491      0.000
    Y2                 0.746      0.020     37.914      0.000
    X2                 1.046      0.072     14.540      0.000

 Intercepts
    Y1                -1.064      0.046    -23.059      0.000
    Y2                -0.042      0.053     -0.784      0.433
    Y3                 1.068      0.063     17.093      0.000

 Residual Variances
    Y1                 1.061      0.067     15.811      0.000
    Y2                 1.408      0.089     15.811      0.000
    Y3                 1.717      0.109     15.811      0.000


R-SQUARE

    Observed                                        Two-Tailed
    Variable        Estimate       S.E.  Est./S.E.    P-Value

    Y1                 0.939      0.005    177.949      0.000
    Y2                 0.918      0.007    130.104      0.000
    Y3                 0.946      0.005    201.127      0.000


QUALITY OF NUMERICAL RESULTS

     Condition Number for the Information Matrix              0.979E-02
       (ratio of smallest to largest eigenvalue)


DIAGRAM INFORMATION

  Use View Diagram under the Diagram menu in the Mplus Editor to view the diagram.
  If running Mplus from the Mplus Diagrammer, the diagram opens automatically.

  Diagram output
    e:\2016\mplus\mptext2.dgm

     Beginning Time:  21:59:39
        Ending Time:  21:59:40
       Elapsed Time:  00:00:01



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