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

INPUT INSTRUCTIONS

  TITLE:	this is an example of a mean structure CFA
  	for continuous factor indicators
  	DATA:	FILE IS ex5.9.dat;
  VARIABLE:	NAMES ARE y1a-y1c y2a-y2c;
  MODEL:	f1 BY y1a y1b@1 y1c@1;
  	f2 BY y2a y2b@1 y2c@1;
  	[y1a y1b y1c] (1);	
  	[y2a y2b y2c] (2);



INPUT READING TERMINATED NORMALLY



this is an example of a mean structure CFA
for continuous factor indicators

SUMMARY OF ANALYSIS

Number of groups                                                 1
Number of observations                                         500

Number of dependent variables                                    6
Number of independent variables                                  0
Number of continuous latent variables                            2

Observed dependent variables

  Continuous
   Y1A         Y1B         Y1C         Y2A         Y2B         Y2C

Continuous latent variables
   F1          F2


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)
  ex5.9.dat

Input data format  FREE



THE MODEL ESTIMATION TERMINATED NORMALLY



MODEL FIT INFORMATION

Number of Free Parameters                       11

Loglikelihood

          H0 Value                       -4150.048
          H1 Value                       -4143.626

Information Criteria

          Akaike (AIC)                    8322.096
          Bayesian (BIC)                  8368.456
          Sample-Size Adjusted BIC        8333.542
            (n* = (n + 2) / 24)

Chi-Square Test of Model Fit

          Value                             12.844
          Degrees of Freedom                    16
          P-Value                           0.6841

RMSEA (Root Mean Square Error Of Approximation)

          Estimate                           0.000
          90 Percent C.I.                    0.000  0.033
          Probability RMSEA <= .05           0.997

CFI/TLI

          CFI                                1.000
          TLI                                1.002

Chi-Square Test of Model Fit for the Baseline Model

          Value                           1422.735
          Degrees of Freedom                    15
          P-Value                           0.0000

SRMR (Standardized Root Mean Square Residual)

          Value                              0.022



MODEL RESULTS

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

 F1       BY
    Y1A                1.000      0.000    999.000    999.000
    Y1B                1.000      0.000    999.000    999.000
    Y1C                1.000      0.000    999.000    999.000

 F2       BY
    Y2A                1.000      0.000    999.000    999.000
    Y2B                1.000      0.000    999.000    999.000
    Y2C                1.000      0.000    999.000    999.000

 F2       WITH
    F1                 0.471      0.056      8.453      0.000

 Intercepts
    Y1A                2.007      0.048     41.795      0.000
    Y1B                2.007      0.048     41.795      0.000
    Y1C                2.007      0.048     41.795      0.000
    Y2A                3.001      0.048     62.385      0.000
    Y2B                3.001      0.048     62.385      0.000
    Y2C                3.001      0.048     62.385      0.000

 Variances
    F1                 0.992      0.073     13.543      0.000
    F2                 0.980      0.074     13.302      0.000

 Residual Variances
    Y1A                0.512      0.045     11.448      0.000
    Y1B                0.442      0.041     10.804      0.000
    Y1C                0.489      0.043     11.250      0.000
    Y2A                0.590      0.050     11.714      0.000
    Y2B                0.478      0.044     10.799      0.000
    Y2C                0.531      0.047     11.279      0.000


QUALITY OF NUMERICAL RESULTS

     Condition Number for the Information Matrix              0.941E-01
       (ratio of smallest to largest eigenvalue)


     Beginning Time:  14:40:52
        Ending Time:  14:40:52
       Elapsed Time:  00:00:00



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