Mplus VERSION 7.2
MUTHEN & MUTHEN
05/07/2014   2:40 PM

INPUT INSTRUCTIONS

  TITLE:	this is an example of a multiple group CFA
  	with covariates (MIMIC) with continuous
  	factor indicators and a mean structure
  DATA:	FILE IS ex5.15.dat;
  VARIABLE:	NAMES ARE y1-y6 x1-x3 g;
  	GROUPING IS g (1=male 2=female);
  MODEL:	f1 BY y1-y3;
  	f2 BY y4-y6;
  	f1 f2 ON x1-x3;
  MODEL female:
  	f1 BY y3;
  	[y3];



INPUT READING TERMINATED NORMALLY



this is an example of a multiple group CFA
with covariates (MIMIC) with continuous
factor indicators and a mean structure

SUMMARY OF ANALYSIS

Number of groups                                                 2
Number of observations
   Group MALE                                                  500
   Group FEMALE                                                600
   Total sample size                                          1100

Number of dependent variables                                    6
Number of independent variables                                  3
Number of continuous latent variables                            2

Observed dependent variables

  Continuous
   Y1          Y2          Y3          Y4          Y5          Y6

Observed independent variables
   X1          X2          X3

Continuous latent variables
   F1          F2

Variables with special functions

  Grouping variable     G

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)
  ex5.15.dat

Input data format  FREE



THE MODEL ESTIMATION TERMINATED NORMALLY



MODEL FIT INFORMATION

Number of Free Parameters                       44

Loglikelihood

          H0 Value                       -8812.330
          H1 Value                       -8790.546

Information Criteria

          Akaike (AIC)                   17712.660
          Bayesian (BIC)                 17932.795
          Sample-Size Adjusted BIC       17793.041
            (n* = (n + 2) / 24)

Chi-Square Test of Model Fit

          Value                             43.569
          Degrees of Freedom                    46
          P-Value                           0.5746

Chi-Square Contribution From Each Group

          MALE                              22.900
          FEMALE                            20.669

RMSEA (Root Mean Square Error Of Approximation)

          Estimate                           0.000
          90 Percent C.I.                    0.000  0.026
          Probability RMSEA <= .05           1.000

CFI/TLI

          CFI                                1.000
          TLI                                1.000

Chi-Square Test of Model Fit for the Baseline Model

          Value                           8731.537
          Degrees of Freedom                    66
          P-Value                           0.0000

SRMR (Standardized Root Mean Square Residual)

          Value                              0.009



MODEL RESULTS

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

Group MALE

 F1       BY
    Y1                 1.000      0.000    999.000    999.000
    Y2                 1.015      0.020     50.359      0.000
    Y3                 1.013      0.027     38.099      0.000

 F2       BY
    Y4                 1.000      0.000    999.000    999.000
    Y5                 1.001      0.018     55.697      0.000
    Y6                 1.008      0.018     54.572      0.000

 F1       ON
    X1                 0.501      0.026     19.414      0.000
    X2                 0.571      0.031     18.687      0.000
    X3                 0.697      0.043     16.255      0.000

 F2       ON
    X1                 0.664      0.024     27.135      0.000
    X2                 0.589      0.028     20.838      0.000
    X3                 0.423      0.039     10.795      0.000

 F2       WITH
    F1                 0.224      0.039      5.767      0.000

 Intercepts
    Y1                 0.057      0.105      0.545      0.586
    Y2                 0.035      0.106      0.334      0.738
    Y3                 0.045      0.109      0.417      0.677
    Y4                 0.187      0.096      1.952      0.051
    Y5                 0.171      0.094      1.806      0.071
    Y6                 0.153      0.096      1.593      0.111
    F1                 0.000      0.000    999.000    999.000
    F2                 0.000      0.000    999.000    999.000

 Residual Variances
    Y1                 0.525      0.046     11.497      0.000
    Y2                 0.517      0.046     11.233      0.000
    Y3                 0.477      0.044     10.783      0.000
    Y4                 0.554      0.046     11.939      0.000
    Y5                 0.395      0.038     10.489      0.000
    Y6                 0.517      0.044     11.665      0.000
    F1                 0.733      0.060     12.136      0.000
    F2                 0.616      0.052     11.891      0.000

Group FEMALE

 F1       BY
    Y1                 1.000      0.000    999.000    999.000
    Y2                 1.015      0.020     50.359      0.000
    Y3                 0.480      0.020     24.594      0.000

 F2       BY
    Y4                 1.000      0.000    999.000    999.000
    Y5                 1.001      0.018     55.697      0.000
    Y6                 1.008      0.018     54.572      0.000

 F1       ON
    X1                 0.440      0.024     18.566      0.000
    X2                 0.598      0.028     21.143      0.000
    X3                 0.642      0.039     16.650      0.000

 F2       ON
    X1                 0.681      0.024     28.463      0.000
    X2                 0.638      0.028     23.037      0.000
    X3                 0.505      0.037     13.529      0.000

 F2       WITH
    F1                 0.279      0.040      6.915      0.000

 Intercepts
    Y1                 0.057      0.105      0.545      0.586
    Y2                 0.035      0.106      0.334      0.738
    Y3                 1.072      0.067     16.003      0.000
    Y4                 0.187      0.096      1.952      0.051
    Y5                 0.171      0.094      1.806      0.071
    Y6                 0.153      0.096      1.593      0.111
    F1                 0.021      0.135      0.158      0.875
    F2                -0.242      0.126     -1.920      0.055

 Residual Variances
    Y1                 0.492      0.046     10.726      0.000
    Y2                 0.504      0.047     10.797      0.000
    Y3                 0.466      0.030     15.777      0.000
    Y4                 0.617      0.047     13.161      0.000
    Y5                 0.512      0.042     12.189      0.000
    Y6                 0.486      0.041     11.802      0.000
    F1                 0.746      0.060     12.522      0.000
    F2                 0.739      0.056     13.235      0.000


QUALITY OF NUMERICAL RESULTS

     Condition Number for the Information Matrix              0.146E-02
       (ratio of smallest to largest eigenvalue)


     Beginning Time:  14:40:39
        Ending Time:  14:40:39
       Elapsed Time:  00:00:00



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