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Mplus VERSION 9 (Mac)
MUTHEN & MUTHEN
06/01/2026 11:20 PM
INPUT INSTRUCTIONS
TITLE:
Step 1
DATA:
FILE = "Step1.dat";
VARIABLE:
NAMES = ResponseId Family PhysPeers NonPhysPeers HSPhysTeach NonPhysFaculty
PhysFaculty ResearchGrp WiPGroup GIPGroup ReligOrg OtherIdent SocialComm
MentalHlth Woman Transgender NonBinary White Asian Hispanic Black MidEastern
NatAmerican PacificIslander InstitutionType AcademicYear Identity;
MISSING=.;
categorical = Family-MentalHlth;
usevar = Family-MentalHlth;
classes = c(3);
auxiliary = ! list all potential covariates and distals here
Woman NonBinary Transgender ! covariate
Identity; ! distal outcome
ANALYSIS:
estimator = mlr;
type = mixture;
starts = 0;
optseed = 794236;
OUTPUT:
residual tech11 tech14
SAVEDATA:
File=3step_savedata.dat;
Save=cprob;
PLOT:
type = plot3;
series = Family-MentalHlth(*);
*** WARNING in VARIABLE command
Note that only the first 8 characters of variable names are used in the output.
Shorten variable names to avoid any confusion.
*** WARNING in PLOT command
Note that only the first 8 characters of variable names are used in plots.
If variable names are not unique within the first 8 characters, problems
may occur.
2 WARNING(S) FOUND IN THE INPUT INSTRUCTIONS
Step 1
SUMMARY OF ANALYSIS
Number of groups 1
Number of observations 567
Number of dependent variables 13
Number of independent variables 0
Number of continuous latent variables 0
Number of categorical latent variables 1
Observed dependent variables
Binary and ordered categorical (ordinal)
FAMILY PHYSPEER NONPHYSP HSPHYSTE NONPHYSF PHYSFACU
RESEARCH WIPGROUP GIPGROUP RELIGORG OTHERIDE SOCIALCO
MENTALHL
Observed auxiliary variables
WOMAN NONBINARY TRANSGENDE IDENTITY
Categorical latent variables
C
Estimator MLR
Information matrix OBSERVED
Optimization Specifications for the Quasi-Newton Algorithm for
Continuous Outcomes
Maximum number of iterations 100
Convergence criterion 0.100D-05
Optimization Specifications for the EM Algorithm
Maximum number of iterations 500
Convergence criteria
Loglikelihood change 0.100D-06
Relative loglikelihood change 0.100D-06
Derivative 0.100D-05
Optimization Specifications for the M step of the EM Algorithm for
Categorical Latent Variables
Number of M step iterations 1
M step convergence criterion 0.100D-05
Basis for M step termination ITERATION
Optimization Specifications for the M step of the EM Algorithm for
Censored, Binary or Ordered Categorical (Ordinal), Unordered
Categorical (Nominal) and Count Outcomes
Number of M step iterations 1
M step convergence criterion 0.100D-05
Basis for M step termination ITERATION
Maximum value for logit thresholds 15
Minimum value for logit thresholds -15
Minimum expected cell size for chi-square 0.100D-01
Maximum number of iterations for H1 2000
Convergence criterion for H1 0.100D-03
Optimization algorithm EMA
Random Starts Specifications
Random seed for analysis 794236
Link LOGIT
Input data file(s)
Step1.dat
Input data format FREE
SUMMARY OF DATA
Number of missing data patterns 1
Number of y missing data patterns 0
Number of u missing data patterns 1
COVARIANCE COVERAGE OF DATA
Minimum covariance coverage value 0.100
UNIVARIATE PROPORTIONS AND COUNTS FOR CATEGORICAL VARIABLES
FAMILY
Category 1 0.351 199.000
Category 2 0.649 368.000
PHYSPEER
Category 1 0.146 83.000
Category 2 0.854 484.000
NONPHYSP
Category 1 0.266 151.000
Category 2 0.734 416.000
HSPHYSTE
Category 1 0.755 428.000
Category 2 0.245 139.000
NONPHYSF
Category 1 0.764 433.000
Category 2 0.236 134.000
PHYSFACU
Category 1 0.259 147.000
Category 2 0.741 420.000
RESEARCH
Category 1 0.462 262.000
Category 2 0.538 305.000
WIPGROUP
Category 1 0.492 279.000
Category 2 0.508 288.000
GIPGROUP
Category 1 0.727 412.000
Category 2 0.273 155.000
RELIGORG
Category 1 0.922 523.000
Category 2 0.078 44.000
OTHERIDE
Category 1 0.961 545.000
Category 2 0.039 22.000
SOCIALCO
Category 1 0.778 441.000
Category 2 0.222 126.000
MENTALHL
Category 1 0.788 447.000
Category 2 0.212 120.000
IN THE OPTIMIZATION, ONE OR MORE LOGIT THRESHOLDS APPROACHED EXTREME VALUES
OF -15.000 AND 15.000 AND WERE FIXED TO STABILIZE MODEL ESTIMATION. THESE
VALUES IMPLY PROBABILITIES OF 0 AND 1. IN THE MODEL RESULTS SECTION, THESE
PARAMETERS HAVE 0 STANDARD ERRORS AND 999 IN THE Z-SCORE AND P-VALUE COLUMNS.
THE MODEL ESTIMATION TERMINATED NORMALLY
MODEL FIT INFORMATION
Number of Free Parameters 41
Loglikelihood
H0 Value -3596.927
H0 Scaling Correction Factor 1.0268
for MLR
Information Criteria
Akaike (AIC) 7275.853
Bayesian (BIC) 7453.808
Sample-Size Adjusted BIC 7323.652
(n* = (n + 2) / 24)
Chi-Square Test of Model Fit for the Binary and Ordered Categorical
(Ordinal) Outcomes**
Pearson Chi-Square
Value 2223.097
Degrees of Freedom 8139
P-Value 1.0000
Likelihood Ratio Chi-Square
Value 956.380
Degrees of Freedom 8139
P-Value 1.0000
** Of the 8192 cells in the latent class indicator table, 11
were deleted in the calculation of chi-square due to extreme values.
FINAL CLASS COUNTS AND PROPORTIONS FOR THE LATENT CLASSES
BASED ON THE ESTIMATED MODEL
Latent
Classes
1 154.99993 0.27337
2 281.98218 0.49732
3 130.01789 0.22931
FINAL CLASS COUNTS AND PROPORTIONS FOR THE LATENT CLASSES
BASED ON ESTIMATED POSTERIOR PROBABILITIES
Latent
Classes
1 154.99993 0.27337
2 281.98218 0.49732
3 130.01789 0.22931
FINAL CLASS COUNTS AND PROPORTIONS FOR THE LATENT CLASSES
BASED ON THEIR MOST LIKELY LATENT CLASS MEMBERSHIP
Class Counts and Proportions
Latent
Classes
1 155 0.27337
2 282 0.49735
3 130 0.22928
CLASSIFICATION QUALITY
Entropy 0.873
Average Latent Class Probabilities for Most Likely Latent Class Membership (Row)
by Latent Class (Column)
1 2 3
1 1.000 0.000 0.000
2 0.000 0.944 0.056
3 0.000 0.121 0.879
Classification Probabilities for the Most Likely Latent Class Membership (Column)
by Latent Class (Row)
1 2 3
1 1.000 0.000 0.000
2 0.000 0.944 0.056
3 0.000 0.121 0.879
Logits for the Classification Probabilities for the Most Likely Latent Class Membership (Column)
by Latent Class (Row)
1 2 3
1 13.816 0.000 0.000
2 -10.932 2.826 0.000
3 -13.686 -1.979 0.000
MODEL RESULTS
Two-Tailed
Estimate S.E. Est./S.E. P-Value
Latent Class 1
Thresholds
FAMILY$1 -0.683 0.170 -4.018 0.000
PHYSPEER$1 -3.051 0.387 -7.889 0.000
NONPHYSP$1 -1.910 0.240 -7.970 0.000
HSPHYSTE$1 1.427 0.203 7.020 0.000
NONPHYSF$1 1.023 0.182 5.616 0.000
PHYSFACU$1 -1.968 0.245 -8.036 0.000
RESEARCH$1 -0.598 0.168 -3.561 0.000
WIPGROUP$1 -1.910 0.240 -7.970 0.000
GIPGROUP$1 -15.000 0.000 999.000 999.000
RELIGORG$1 3.051 0.387 7.889 0.000
OTHERIDE$1 2.786 0.343 8.113 0.000
SOCIALCO$1 0.742 0.172 4.318 0.000
MENTALHL$1 1.023 0.182 5.616 0.000
Latent Class 2
Thresholds
FAMILY$1 -1.176 0.171 -6.867 0.000
PHYSPEER$1 -2.944 0.448 -6.578 0.000
NONPHYSP$1 -1.699 0.230 -7.373 0.000
HSPHYSTE$1 0.797 0.141 5.652 0.000
NONPHYSF$1 0.828 0.144 5.737 0.000
PHYSFACU$1 -2.034 0.265 -7.681 0.000
RESEARCH$1 -0.548 0.144 -3.803 0.000
WIPGROUP$1 0.223 0.130 1.718 0.086
GIPGROUP$1 15.000 0.000 999.000 999.000
RELIGORG$1 2.063 0.199 10.372 0.000
OTHERIDE$1 3.116 0.303 10.280 0.000
SOCIALCO$1 1.087 0.152 7.163 0.000
MENTALHL$1 1.203 0.149 8.071 0.000
Latent Class 3
Thresholds
FAMILY$1 0.487 0.235 2.075 0.038
PHYSPEER$1 -0.096 0.228 -0.421 0.674
NONPHYSP$1 0.718 0.278 2.584 0.010
HSPHYSTE$1 1.625 0.291 5.589 0.000
NONPHYSF$1 2.825 0.556 5.079 0.000
PHYSFACU$1 1.013 0.341 2.971 0.003
RESEARCH$1 1.370 0.348 3.938 0.000
WIPGROUP$1 1.310 0.266 4.926 0.000
GIPGROUP$1 15.000 0.000 999.000 999.000
RELIGORG$1 3.178 0.514 6.185 0.000
OTHERIDE$1 4.831 1.051 4.599 0.000
SOCIALCO$1 3.245 0.703 4.618 0.000
MENTALHL$1 2.125 0.357 5.958 0.000
Categorical Latent Variables
Means
C#1 0.176 0.161 1.092 0.275
C#2 0.774 0.191 4.061 0.000
QUALITY OF NUMERICAL RESULTS
Condition Number for the Information Matrix 0.441E-02
(ratio of smallest to largest eigenvalue)
LATENT CLASS INDICATOR MEANS AND PROBABILITIES FOR EACH LATENT CLASS
MEAN/PROBABILITY PROFILES FOR C
Latent class
1 2 3
FAMILY
Category 1 0.335 0.236 0.619
Category 2 0.665 0.764 0.381
PHYSPEER
Category 1 0.045 0.050 0.476
Category 2 0.955 0.950 0.524
NONPHYSP
Category 1 0.129 0.155 0.672
Category 2 0.871 0.845 0.328
HSPHYSTE
Category 1 0.806 0.689 0.835
Category 2 0.194 0.311 0.165
NONPHYSF
Category 1 0.735 0.696 0.944
Category 2 0.265 0.304 0.056
PHYSFACU
Category 1 0.123 0.116 0.734
Category 2 0.877 0.884 0.266
RESEARCH
Category 1 0.355 0.366 0.797
Category 2 0.645 0.634 0.203
WIPGROUP
Category 1 0.129 0.555 0.787
Category 2 0.871 0.445 0.213
GIPGROUP
Category 1 0.000 1.000 1.000
Category 2 1.000 0.000 0.000
RELIGORG
Category 1 0.955 0.887 0.960
Category 2 0.045 0.113 0.040
OTHERIDE
Category 1 0.942 0.958 0.992
Category 2 0.058 0.042 0.008
SOCIALCO
Category 1 0.677 0.748 0.963
Category 2 0.323 0.252 0.037
MENTALHL
Category 1 0.735 0.769 0.893
Category 2 0.265 0.231 0.107
RESULTS IN PROBABILITY SCALE
Two-Tailed
Estimate S.E. Est./S.E. P-Value
Latent Class 1
FAMILY
Category 1 0.335 0.038 8.846 0.000
Category 2 0.665 0.038 17.522 0.000
PHYSPEERS
Category 1 0.045 0.017 2.708 0.007
Category 2 0.955 0.017 57.246 0.000
NONPHYSPEE
Category 1 0.129 0.027 4.792 0.000
Category 2 0.871 0.027 32.346 0.000
HSPHYSTEAC
Category 1 0.806 0.032 25.413 0.000
Category 2 0.194 0.032 6.099 0.000
NONPHYSFAC
Category 1 0.735 0.035 20.760 0.000
Category 2 0.265 0.035 7.466 0.000
PHYSFACULT
Category 1 0.123 0.026 4.653 0.000
Category 2 0.877 0.026 33.309 0.000
RESEARCHGR
Category 1 0.355 0.038 9.233 0.000
Category 2 0.645 0.038 16.787 0.000
WIPGROUP
Category 1 0.129 0.027 4.792 0.000
Category 2 0.871 0.027 32.346 0.000
GIPGROUP
Category 1 0.000 0.000 0.000 1.000
Category 2 1.000 0.000 0.000 1.000
RELIGORG
Category 1 0.955 0.017 57.246 0.000
Category 2 0.045 0.017 2.708 0.007
OTHERIDENT
Category 1 0.942 0.019 50.144 0.000
Category 2 0.058 0.019 3.091 0.002
SOCIALCOMM
Category 1 0.677 0.038 18.042 0.000
Category 2 0.323 0.038 8.591 0.000
MENTALHLTH
Category 1 0.735 0.035 20.760 0.000
Category 2 0.265 0.035 7.466 0.000
Latent Class 2
FAMILY
Category 1 0.236 0.031 7.637 0.000
Category 2 0.764 0.031 24.766 0.000
PHYSPEERS
Category 1 0.050 0.021 2.352 0.019
Category 2 0.950 0.021 44.669 0.000
NONPHYSPEE
Category 1 0.155 0.030 5.135 0.000
Category 2 0.845 0.030 28.067 0.000
HSPHYSTEAC
Category 1 0.689 0.030 22.829 0.000
Category 2 0.311 0.030 10.289 0.000
NONPHYSFAC
Category 1 0.696 0.031 22.780 0.000
Category 2 0.304 0.031 9.949 0.000
PHYSFACULT
Category 1 0.116 0.027 4.271 0.000
Category 2 0.884 0.027 32.642 0.000
RESEARCHGR
Category 1 0.366 0.033 10.962 0.000
Category 2 0.634 0.033 18.954 0.000
WIPGROUP
Category 1 0.555 0.032 17.363 0.000
Category 2 0.445 0.032 13.899 0.000
GIPGROUP
Category 1 1.000 0.000 0.000 1.000
Category 2 0.000 0.000 0.000 1.000
RELIGORG
Category 1 0.887 0.020 44.588 0.000
Category 2 0.113 0.020 5.668 0.000
OTHERIDENT
Category 1 0.958 0.012 77.711 0.000
Category 2 0.042 0.012 3.445 0.001
SOCIALCOMM
Category 1 0.748 0.029 26.132 0.000
Category 2 0.252 0.029 8.815 0.000
MENTALHLTH
Category 1 0.769 0.026 29.052 0.000
Category 2 0.231 0.026 8.726 0.000
Latent Class 3
FAMILY
Category 1 0.619 0.055 11.193 0.000
Category 2 0.381 0.055 6.877 0.000
PHYSPEERS
Category 1 0.476 0.057 8.389 0.000
Category 2 0.524 0.057 9.232 0.000
NONPHYSPEE
Category 1 0.672 0.061 10.977 0.000
Category 2 0.328 0.061 5.354 0.000
HSPHYSTEAC
Category 1 0.835 0.040 20.904 0.000
Category 2 0.165 0.040 4.117 0.000
NONPHYSFAC
Category 1 0.944 0.029 32.107 0.000
Category 2 0.056 0.029 1.905 0.057
PHYSFACULT
Category 1 0.734 0.067 11.011 0.000
Category 2 0.266 0.067 4.000 0.000
RESEARCHGR
Category 1 0.797 0.056 14.187 0.000
Category 2 0.203 0.056 3.605 0.000
WIPGROUP
Category 1 0.787 0.044 17.698 0.000
Category 2 0.213 0.044 4.776 0.000
GIPGROUP
Category 1 1.000 0.000 0.000 1.000
Category 2 0.000 0.000 0.000 1.000
RELIGORG
Category 1 0.960 0.020 48.660 0.000
Category 2 0.040 0.020 2.027 0.043
OTHERIDENT
Category 1 0.992 0.008 120.246 0.000
Category 2 0.008 0.008 0.959 0.337
SOCIALCOMM
Category 1 0.963 0.025 37.953 0.000
Category 2 0.037 0.025 1.478 0.139
MENTALHLTH
Category 1 0.893 0.034 26.281 0.000
Category 2 0.107 0.034 3.138 0.002
EQUALITY TESTS OF PROBABILITIES ACROSS THE LATENT CLASSES
Chi-Square P-Value Degrees of Freedom
FAMILY
Overall test 29.710 0.000 2
Class 1 vs. 2 4.169 0.041 1
Class 1 vs. 3 16.306 0.000 1
Class 2 vs. 3 29.442 0.000 1
PHYSPEER
Overall test 59.462 0.000 2
Class 1 vs. 2 0.033 0.856 1
Class 1 vs. 3 43.375 0.000 1
Class 2 vs. 3 30.661 0.000 1
NONPHYSP
Overall test 58.985 0.000 2
Class 1 vs. 2 0.403 0.526 1
Class 1 vs. 3 51.283 0.000 1
Class 2 vs. 3 42.171 0.000 1
HSPHYSTE
Overall test 9.440 0.009 2
Class 1 vs. 2 6.487 0.011 1
Class 1 vs. 3 0.310 0.578 1
Class 2 vs. 3 5.862 0.015 1
NONPHYSF
Overall test 11.795 0.003 2
Class 1 vs. 2 0.699 0.403 1
Class 1 vs. 3 9.483 0.002 1
Class 2 vs. 3 11.756 0.001 1
PHYSFACU
Overall test 61.086 0.000 2
Class 1 vs. 2 0.033 0.856 1
Class 1 vs. 3 50.443 0.000 1
Class 2 vs. 3 49.816 0.000 1
RESEARCH
Overall test 27.011 0.000 2
Class 1 vs. 2 0.052 0.820 1
Class 1 vs. 3 25.956 0.000 1
Class 2 vs. 3 23.415 0.000 1
WIPGROUP
Overall test 92.148 0.000 2
Class 1 vs. 2 61.273 0.000 1
Class 1 vs. 3 80.910 0.000 1
Class 2 vs. 3 12.750 0.000 1
RELIGORG
Overall test 7.441 0.024 2
Class 1 vs. 2 5.167 0.023 1
Class 1 vs. 3 0.039 0.843 1
Class 2 vs. 3 3.793 0.051 1
OTHERIDE
Overall test 3.543 0.170 2
Class 1 vs. 2 0.518 0.472 1
Class 1 vs. 3 3.422 0.064 1
Class 2 vs. 3 2.403 0.121 1
SOCIALCO
Overall test 13.307 0.001 2
Class 1 vs. 2 2.263 0.133 1
Class 1 vs. 3 11.973 0.001 1
Class 2 vs. 3 8.599 0.003 1
MENTALHL
Overall test 7.579 0.023 2
Class 1 vs. 2 0.586 0.444 1
Class 1 vs. 3 7.579 0.006 1
Class 2 vs. 3 5.168 0.023 1
LATENT CLASS INDICATOR ODDS RATIOS FOR THE LATENT CLASSES
95% C.I.
Estimate S.E. Lower 2.5% Upper 2.5%
Latent Class 1 Compared to Latent Class 2
FAMILY
Category > 1 0.611 0.147 0.381 0.980
PHYSPEER
Category > 1 1.113 0.659 0.349 3.549
NONPHYSP
Category > 1 1.235 0.410 0.644 2.369
HSPHYSTE
Category > 1 0.533 0.132 0.328 0.865
NONPHYSF
Category > 1 0.823 0.191 0.522 1.299
PHYSFACU
Category > 1 0.937 0.338 0.462 1.899
RESEARCH
Category > 1 1.052 0.233 0.682 1.622
WIPGROUP
Category > 1 8.432 2.297 4.944 14.381
GIPGROUP
Category > 1 ********* 0.000 ********* *********
RELIGORG
Category > 1 0.372 0.162 0.159 0.873
OTHERIDE
Category > 1 1.390 0.637 0.567 3.413
SOCIALCO
Category > 1 1.412 0.324 0.901 2.212
MENTALHL
Category > 1 1.197 0.282 0.755 1.899
Latent Class 1 Compared to Latent Class 3
FAMILY
Category > 1 3.224 0.935 1.827 5.691
PHYSPEER
Category > 1 19.211 8.621 7.972 46.296
NONPHYSP
Category > 1 13.839 5.078 6.742 28.406
HSPHYSTE
Category > 1 1.218 0.432 0.608 2.442
NONPHYSF
Category > 1 6.063 3.548 1.925 19.090
PHYSFACU
Category > 1 19.706 8.271 8.656 44.860
RESEARCH
Category > 1 7.155 2.764 3.356 15.254
WIPGROUP
Category > 1 25.012 8.952 12.402 50.443
GIPGROUP
Category > 1 ********* 0.000 ********* *********
RELIGORG
Category > 1 1.135 0.730 0.322 4.006
OTHERIDE
Category > 1 7.725 8.538 0.885 67.410
SOCIALCO
Category > 1 12.226 8.845 2.961 50.481
MENTALHL
Category > 1 3.012 1.206 1.374 6.603
Latent Class 2 Compared to Latent Class 3
FAMILY
Category > 1 5.279 1.618 2.894 9.628
PHYSPEER
Category > 1 17.259 8.878 6.297 47.301
NONPHYSP
Category > 1 11.207 4.170 5.404 23.241
HSPHYSTE
Category > 1 2.288 0.782 1.171 4.472
NONPHYSF
Category > 1 7.362 4.287 2.352 23.049
PHYSFACU
Category > 1 21.041 9.082 9.029 49.033
RESEARCH
Category > 1 6.804 2.696 3.129 14.794
WIPGROUP
Category > 1 2.966 0.903 1.633 5.388
GIPGROUP
Category > 1 1.000 0.000 1.000 1.000
RELIGORG
Category > 1 3.052 1.748 0.993 9.379
OTHERIDE
Category > 1 5.556 6.147 0.635 48.585
SOCIALCO
Category > 1 8.660 6.375 2.046 36.657
MENTALHL
Category > 1 2.515 1.021 1.136 5.571
RESIDUAL OUTPUT
RESIDUAL OUTPUT IS NOT AVAILABLE FOR THIS MODEL. ADDITIONAL OUTPUT FOR
CATEGORICAL, COUNT, AND NOMINAL VARIABLES MAY BE AVAILABLE USING TECH10.
TECHNICAL 11 OUTPUT
Random Starts Specifications for the k-1 Class Analysis Model
Number of initial stage random starts 20
Number of final stage optimizations 4
VUONG-LO-MENDELL-RUBIN LIKELIHOOD RATIO TEST FOR 2 (H0) VERSUS 3 CLASSES
H0 Loglikelihood Value -3647.649
2 Times the Loglikelihood Difference 101.445
Difference in the Number of Parameters 14
Mean 8.576
Standard Deviation 11.719
P-Value 0.0000
LO-MENDELL-RUBIN ADJUSTED LRT TEST
Value 100.315
P-Value 0.0000
TECHNICAL 14 OUTPUT
Random Starts Specifications for the k-1 Class Analysis Model
Number of initial stage random starts 20
Number of final stage optimizations 4
Random Starts Specification for the k-1 Class Model for Generated Data
Number of initial stage random starts 0
Number of final stage optimizations for the
initial stage random starts 0
Random Starts Specification for the k Class Model for Generated Data
Number of initial stage random starts 40
Number of final stage optimizations 8
Number of bootstrap draws requested Varies
PARAMETRIC BOOTSTRAPPED LIKELIHOOD RATIO TEST FOR 2 (H0) VERSUS 3 CLASSES
H0 Loglikelihood Value -3647.649
2 Times the Loglikelihood Difference 101.445
Difference in the Number of Parameters 14
Approximate P-Value 0.0000
Successful Bootstrap Draws 10
PLOT INFORMATION
The following plots are available:
Histograms (sample values)
Scatterplots (sample values)
Sample proportions and estimated probabilities
SAVEDATA INFORMATION
Save file
3step_savedata.dat
Order and format of variables
FAMILY F10.3
PHYSPEER F10.3
NONPHYSP F10.3
HSPHYSTE F10.3
NONPHYSF F10.3
PHYSFACU F10.3
RESEARCH F10.3
WIPGROUP F10.3
GIPGROUP F10.3
RELIGORG F10.3
OTHERIDE F10.3
SOCIALCO F10.3
MENTALHL F10.3
WOMAN F10.3
NONBINAR F10.3
TRANSGEN F10.3
IDENTITY F10.3
CPROB1 F10.3
CPROB2 F10.3
CPROB3 F10.3
MLCC F10.3
Save file format
21F10.3
Save file record length 10000
Save missing symbol *
Beginning Time: 23:20:02
Ending Time: 23:20:04
Elapsed Time: 00:00:02
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