多重平行中介(Mplus)

title:
multiple mediation effect;

data:
file is C:\Users\mike1\Desktop\data\沐守宽老师数据\data.csv;


variable:
names are X Y Z M;
usevariables are X Y Z M;


analysis:
type = general;
estimator = ML;
bootstrap = 1000;  ! 这三行语句是比较固定的。
 

model:

Y on X(b1)
      Z(b2) 
      M(b3);
Z on X(a1);
M on X(a2); !注意必须分行写,否则无法识别路径系数的别名

model constraint: new(totalind total);   ! 用于生成新的用于估计的变量。
totalind = a1*b1 + a2*b2;
total = a1*b1 + a2*b2 + b3;

output:
standardized cinterval(bcbootstrap);


savedata:
file is C:\Users\mike1\Desktop\data\Mplus\mydata1;

总结:  y on x(b1) m(b2); 这样写是无法估计路径系数的,必须分行写 y on x(b1)

                                                                                                                       m(b2);

图形如下:

结果如下:

Mplus VERSION 7
MUTHEN & MUTHEN
04/15/2020   2:38 PM

INPUT INSTRUCTIONS

  title:
  multiple mediation effect;

  data:
  file is C:\Users\mike1\Desktop\data\沐守宽老师数据\data.csv;


  variable:
  names are X Y Z M;
  usevariables are X Y Z M;


  analysis:
  type = general;
  estimator = ML;
  bootstrap = 1000;


  model:

  Y on X(b1)
       Z(b2)
       M(b3);
  Z on X(a1);
  M on X(a2);

  model constraint: new(totalind total);
  totalind = a1*b1 + a2*b2;
  total = a1*b1 + a2*b2 + b3;

  output:
  standardized cinterval(bcbootstrap);


  savedata:
  file is C:\Users\mike1\Desktop\data\Mplus\mydata1;











INPUT READING TERMINATED NORMALLY




multiple mediation effect;

SUMMARY OF ANALYSIS

Number of groups                                                 1
Number of observations                                         100

Number of dependent variables                                    3
Number of independent variables                                  1
Number of continuous latent variables                            0

Observed dependent variables

  Continuous
   Y           Z           M

Observed independent variables
   X


Estimator                                                       ML
Information matrix                                        OBSERVED
Maximum number of iterations                                  1000
Convergence criterion                                    0.500D-04
Maximum number of steepest descent iterations                   20
Number of bootstrap draws
    Requested                                                 1000
    Completed                                                 1000

Input data file(s)
  C:\Users\mike1\Desktop\data\沐守宽老师数据\data.csv

Input data format  FREE



THE MODEL ESTIMATION TERMINATED NORMALLY



MODEL FIT INFORMATION

Number of Free Parameters                       11

Loglikelihood

          H0 Value                        -545.775
          H1 Value                        -544.933

Information Criteria

          Akaike (AIC)                    1113.550
          Bayesian (BIC)                  1142.207
          Sample-Size Adjusted BIC        1107.466
            (n* = (n + 2) / 24)

Chi-Square Test of Model Fit

          Value                              1.684
          Degrees of Freedom                     1
          P-Value                           0.1944

RMSEA (Root Mean Square Error Of Approximation)

          Estimate                           0.083
          90 Percent C.I.                    0.000  0.294
          Probability RMSEA <= .05           0.249

CFI/TLI

          CFI                                0.975
          TLI                                0.849

Chi-Square Test of Model Fit for the Baseline Model

          Value                             33.115
          Degrees of Freedom                     6
          P-Value                           0.0000

SRMR (Standardized Root Mean Square Residual)

          Value                              0.034



MODEL RESULTS

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

 Y        ON
    X                  0.168      0.148      1.135      0.256
    Z                  0.215      0.143      1.498      0.134
    M                  0.211      0.107      1.975      0.048

 Z        ON
    X                  0.182      0.119      1.531      0.126

 M        ON
    X                  0.386      0.108      3.584      0.000

 Intercepts
    Y                  1.867      0.987      1.891      0.059
    Z                  4.310      0.606      7.114      0.000
    M                  2.873      0.564      5.094      0.000

 Residual Variances
    Y                  2.214      0.331      6.687      0.000
    Z                  2.061      0.318      6.479      0.000
    M                  2.420      0.334      7.248      0.000

 New/Additional Parameters
    TOTALIND           0.113      0.063      1.808      0.071
    TOTAL              0.325      0.110      2.940      0.003


STANDARDIZED MODEL RESULTS

                      StdYX       StdY        Std
                    Estimate   Estimate   Estimate

 Y        ON
    X                  0.148      0.104      0.168
    Z                  0.195      0.195      0.215
    M                  0.217      0.217      0.211

 Z        ON
    X                  0.177      0.124      0.182

 M        ON
    X                  0.333      0.234      0.386

 Intercepts
    Y                  1.161      1.161      1.867
    Z                  2.955      2.955      4.310
    M                  1.741      1.741      2.873

 Residual Variances
    Y                  0.856      0.856      2.214
    Z                  0.969      0.969      2.061
    M                  0.889      0.889      2.420


R-SQUARE

    Observed
    Variable        Estimate

    Y                  0.144
    Z                  0.031
    M                  0.111


CONFIDENCE INTERVALS OF MODEL RESULTS

                  Lower .5%  Lower 2.5%    Lower 5%    Estimate    Upper 5%  Upper 2.5%   Upper .5%

 Y        ON
    X               -0.228      -0.144      -0.111       0.168       0.395       0.442       0.524
    Z               -0.201      -0.095      -0.043       0.215       0.441       0.476       0.543
    M               -0.045       0.025       0.049       0.211       0.394       0.439       0.513

 Z        ON
    X               -0.135      -0.064      -0.016       0.182       0.369       0.405       0.460

 M        ON
    X                0.103       0.168       0.211       0.386       0.556       0.590       0.675

 Intercepts
    Y               -0.554      -0.087       0.209       1.867       3.505       3.808       4.259
    Z                2.843       3.105       3.295       4.310       5.260       5.560       5.867
    M                1.374       1.726       1.952       2.873       3.779       3.990       4.366

 Residual Variances
    Y                1.516       1.690       1.794       2.214       2.887       2.976       3.163
    Z                1.417       1.526       1.612       2.061       2.707       2.806       2.940
    M                1.633       1.862       1.931       2.420       3.073       3.201       3.483

 New/Additional Parameters
    TOTALIND        -0.055       0.001       0.023       0.113       0.227       0.246       0.278
    TOTAL            0.027       0.117       0.155       0.325       0.512       0.556       0.630


SAVEDATA INFORMATION


  Save file
    C:\Users\mike1\Desktop\data\Mplus\mydata1

  Order and format of variables

    Y              F10.3
    Z              F10.3
    M              F10.3
    X              F10.3

  Save file format
    4F10.3

  Save file record length    10000


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
    c:usersmike1desktopdatamplusmultiple mediation.dgm

     Beginning Time:  14:38:55
        Ending Time:  14:38:57
       Elapsed Time:  00:00:02



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原文地址:https://www.cnblogs.com/zijidefengge/p/12711185.html