Basic output through to regression models

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Basic output through to regression models
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• Title
• Stata2Mplus conversion for ego_ghq12_id.dta.dta
• List of variables converted shown below
• ghq01 ghq time1 item 1
• ghq02 ghq time1 item 2
• ghq03 ghq time1 item 3
• ghq04 ghq time1 item 4
• ghq05 ghq time1 item 5
• ghq06 ghq time1 item 6
• ghq07 ghq time1 item 7
• ghq08 ghq time1 item 8
• ghq09 ghq time1 item 9
• ghq10 ghq time1 item 10
• ghq11 ghq time1 item 11
• ghq12 ghq time1 item 12
• f1 Scores for factor 1
• id

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• Variable
• Names are
• ghq01 ghq02 ghq03 ghq04 ghq05 ghq06
• ghq07 ghq08 ghq09 ghq10 ghq11 ghq12
• f1 id
• Missing are all (-9999)
• !usevariables ghq01 ghq03 ghq05 ghq07 ghq09
  ghq11
• usevariables ghq02 ghq04 ghq06 ghq08 ghq10
  ghq12
• idvariable id
• Analysis
• Type basic
• output
• !sampstat
• plot
• type is plot3

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Output

• INPUT READING TERMINATED NORMALLY
• Stata2Mplus conversion for ego_ghq12_id.dta.dta
• List of variables converted shown below
• ghq01 ghq time1 item 1
• ghq02 ghq time1 item 2
• ghq03 ghq time1 item 3
• ghq04 ghq time1 item 4
• ghq05 ghq time1 item 5
• ghq06 ghq time1 item 6
• ghq07 ghq time1 item 7
• ghq08 ghq time1 item 8
• ghq09 ghq time1 item 9
• ghq10 ghq time1 item 10
• ghq11 ghq time1 item 11
• ghq12 ghq time1 item 12
• f1 Scores for factor 1
• id

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• SUMMARY OF ANALYSIS
• Number of groups
  1
• Number of observations
  1119
• Number of dependent variables
  6
• Number of independent variables
  0
• Number of continuous latent variables
  0
• Observed dependent variables
• Continuous
• GHQ02 GHQ04 GHQ06 GHQ08
  GHQ10 GHQ12
• Variables with special functions
• ID variable ID
• Estimator
  ML
• Information matrix
  OBSERVED
• Maximum number of iterations
  1000

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• SUMMARY OF DATA
• Number of missing data patterns
  1
• SUMMARY OF MISSING DATA PATTERNS
• MISSING DATA PATTERNS (x not missing)
• 1
• GHQ02 x
• GHQ04 x
• GHQ06 x
• GHQ08 x
• GHQ10 x
• GHQ12 x
• MISSING DATA PATTERN FREQUENCIES
• Pattern Frequency
• 1 1119

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• PROPORTION OF DATA PRESENT
• Covariance Coverage
• GHQ02 GHQ04 GHQ06
  GHQ08 GHQ10 GHQ12
• ________ ________ ________
  ________ ________ ________
• GHQ02 1.000
• GHQ04 1.000 1.000
• GHQ06 1.000 1.000 1.000
• GHQ08 1.000 1.000 1.000
  1.000
• GHQ10 1.000 1.000 1.000
  1.000 1.000
• GHQ12 1.000 1.000 1.000
  1.000 1.000 1.000

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• RESULTS FOR BASIC ANALYSIS
• ESTIMATED SAMPLE STATISTICS
• Means
• GHQ02 GHQ04 GHQ06
  GHQ08 GHQ10 GHQ12
• ________ ________ ________
  ________ ________ ________
• 1 2.161 2.123 2.060
  2.195 1.987 2.223
• Covariances
• GHQ02 GHQ04 GHQ06
  GHQ08 GHQ10 GHQ12
• ________ ________ ________
  ________ ________ ________
• GHQ02 0.768
• GHQ04 0.152 0.373
• GHQ06 0.350 0.229 0.653
• GHQ08 0.211 0.199 0.271
  0.387
• GHQ10 0.387 0.264 0.439
  0.305 0.873
• GHQ12 0.266 0.196 0.312
  0.250 0.380 0.520

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• PLOT INFORMATION
• The following plots are available
• Histograms (sample values)
• Scatterplots (sample values)
• SAVEDATA INFORMATION
• Order and format of variables
• GHQ02 F10.3
• GHQ04 F10.3
• GHQ06 F10.3
• GHQ08 F10.3
• GHQ10 F10.3
• GHQ12 F10.3
• ID I5

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Histograms and Scatterplots
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Define new variables

• Variable
• Names are
• ghq01 ghq02 ghq03 ghq04 ghq05 ghq06
• ghq07 ghq08 ghq09 ghq10 ghq11 ghq12
• f1 id
• Missing are all (-9999)
• usevariables sumodd sumeven
• idvariable id
• Define
• sumodd ghq01 ghq03 ghq05 ghq07 ghq09
  ghq11
• sumeven ghq02 ghq04 ghq06 ghq08 ghq10
  ghq12
• Analysis
• Type basic
• Etc.

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Histogram dialogue box
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8 bins
10 bins
12 bins
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multihist ghq02 ghq04 ghq06 ghq08 ghq10 ghq12
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Scatterplot dialogue box
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Full sample
Random sample of 250
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?
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Regression models
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Linear Regression

• Variable
• Names are
• ghq01 ghq02 ghq03 ghq04 ghq05 ghq06
• ghq07 ghq08 ghq09 ghq10 ghq11 ghq12
• f1 id
• Missing are all (-9999)
• usevariables sumodd sumeven
• idvariable id
• Define
• sumodd ghq01 ghq03 ghq05 ghq07 ghq09
  ghq11
• sumeven ghq02 ghq04 ghq06 ghq08 ghq10
  ghq12
• Analysis
• estimator ML
• Model
• sumodd on sumeven
• output
• sampstat cinterval
• plot

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Linear Regression

• Variable
• Names are
• ghq01 ghq02 ghq03 ghq04 ghq05 ghq06
• ghq07 ghq08 ghq09 ghq10 ghq11 ghq12
• f1 id
• Missing are all (-9999)
• usevariables sumodd sumeven
• idvariable id
• Define
• sumodd ghq01 ghq03 ghq05 ghq07 ghq09
  ghq11
• sumeven ghq02 ghq04 ghq06 ghq08 ghq10
  ghq12
• Analysis
• estimator ML
• Model
• sumodd on sumeven
• output
• sampstat cinterval
• plot

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Linear Regression

• Variable
• Names are
• ghq01 ghq02 ghq03 ghq04 ghq05 ghq06
• ghq07 ghq08 ghq09 ghq10 ghq11 ghq12
• f1 id
• Missing are all (-9999)
• usevariables sumodd sumeven
• idvariable id
• Define
• sumodd ghq01 ghq03 ghq05 ghq07 ghq09
  ghq11
• sumeven ghq02 ghq04 ghq06 ghq08 ghq10
  ghq12
• Analysis
• estimator ML
• Model
• sumodd on sumeven
• output
• sampstat cinterval
• plot

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Output

• TESTS OF MODEL FIT
• Chi-Square Test of Model Fit
• Value
  0.000
• Degrees of Freedom
  0
• P-Value
  0.0000
• Chi-Square Test of Model Fit for the Baseline
  Model
• Value
  1635.553
• Degrees of Freedom
  1
• P-Value
  0.0000
• CFI/TLI
• CFI
  1.000
• TLI
  1.000
• Loglikelihood

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• Information Criteria
• Number of Free Parameters
  3
• Akaike (AIC)
  10316.495
• Bayesian (BIC)
  10331.555
• Sample-Size Adjusted BIC
  10322.027
• (n (n 2) / 24)
• RMSEA (Root Mean Square Error Of Approximation)
• Estimate
  0.000
• 90 Percent C.I.
  0.000 0.000
• Probability RMSEA lt .05
  0.000
• SRMR (Standardized Root Mean Square Residual)
• Value
  0.000

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• MODEL RESULTS
• 
  Two-Tailed
• Estimate S.E.
  Est./S.E. P-Value
• SUMODD ON
• SUMEVEN 0.890 0.015
  60.886 0.000
• Intercepts
• SUMODD 1.941 0.193
  10.051 0.000
• Residual Variances
• SUMODD 2.868 0.121
  23.654 0.000
• CONFIDENCE INTERVALS OF MODEL RESULTS
• Lower .5 Lower 2.5
  Estimate Upper 2.5 Upper .5

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Compare with Stata

• Source SS df MS
  Number of obs 1119
• -------------------------------------------
  F( 1, 1117) 3700.56
• Model 10633.9457 1 10633.9457
  Prob gt F 0.0000
• Residual 3209.82016 1117 2.87360802
  R-squared 0.7681
• -------------------------------------------
  Adj R-squared 0.7679
• Total 13843.7659 1118 12.3826171
  Root MSE 1.6952
• --------------------------------------------------
  ----------------------------
• sumodd Coef. Std. Err. t
  Pgtt 95 Conf. Interval
• -------------------------------------------------
  ----------------------------
• sumeven .8900851 .0146318 60.83
  0.000 .8613762 .9187941
• _cons 1.941059 .1933 10.04
  0.000 1.561787 2.320332
• --------------------------------------------------
  ----------------------------
• Say something about OLS / ML estimation

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SAVE MAHALANOBIS COOKS INFLUENCE
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Logistic regression 1 cts predictor

• Variable
• Names are
• ghq01 ghq02 ghq03 ghq04 ghq05 ghq06
• ghq07 ghq08 ghq09 ghq10 ghq11 ghq12
• f1 id
• Missing are all (-9999)
• usevariables sumodd sumeven
• categorical are sumodd
• idvariable id
• Define
• sumodd ghq01 ghq03 ghq05 ghq07 ghq09
  ghq11
• sumeven ghq02 ghq04 ghq06 ghq08 ghq10
  ghq12
• cut sumodd (16)
• Analysis
• estimator ML
• Model

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• MODEL RESULTS
  Two-Tailed
• Estimate S.E.
  Est./S.E. P-Value
• SUMODD ON
• SUMEVEN 0.970 0.070
  13.856 0.000
• Thresholds
• SUMODD1 15.665 1.080
  14.499 0.000
• CONFIDENCE INTERVALS OF MODEL RESULTS
• Lower .5 Lower 2.5
  Estimate Upper 2.5 Upper .5
• SUMODD ON
• SUMEVEN 0.790 0.833
  0.970 1.107 1.150
• Thresholds

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Compare with Stata

• . gen sumodd_g sumodd
• . recode sumodd_g 0/160 17/241
• (sumodd_g 1119 changes made)
• . tab sumodd_g
• sumodd_g Freq. Percent Cum.
• -----------------------------------------------
• 0 916 81.86 81.86
• 1 203 18.14 100.00
• -----------------------------------------------
• Total 1,119 100.00
• . logistic sumodd_g sumeven
• Logistic regression
  Number of obs 1119
• 
  LR chi2(1) 666.85
• 
  Prob gt chi2 0.0000
• Log likelihood -196.45269
  Pseudo R2 0.6292

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Logistic regression 2 binary predictor

• Variable
• Names are
• ghq01 ghq02 ghq03 ghq04 ghq05 ghq06
• ghq07 ghq08 ghq09 ghq10 ghq11 ghq12
• f1 id
• Missing are all (-9999)
• usevariables sumodd sumeven
• categorical are sumodd
• idvariable id
• Define
• sumodd ghq01 ghq03 ghq05 ghq07 ghq09
  ghq11
• sumeven ghq02 ghq04 ghq06 ghq08 ghq10
  ghq12
• cut sumeven (16)
• cut sumodd (16)
• Analysis
• estimator ML

Dont put sumeven here
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• MODEL RESULTS
  Two-Tailed
• Estimate S.E.
  Est./S.E. P-Value
• SUMODD ON
• SUMEVEN 4.647 0.273
  17.020 0.000
• Thresholds
• SUMODD1 2.687 0.132
  20.307 0.000
• CONFIDENCE INTERVALS OF MODEL RESULTS
• Lower .5 Lower 2.5
  Estimate Upper 2.5 Upper .5
• SUMODD ON
• SUMEVEN 3.944 4.112
  4.647 5.182 5.350
• Thresholds

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Compare with Stata

• . gen sumeven_g sumeven
• . recode sumeven_g 0/160 17/241
• (sumeven_g 1119 changes made)
• . tab sumeven_g
• sumeven_g Freq. Percent Cum.
• -----------------------------------------------
• 0 957 85.52 85.52
• 1 162 14.48 100.00
• -----------------------------------------------
• Total 1,119 100.00
• . xi logistic sumodd_g i.sumeven_g
• Logistic regression
  Number of obs 1119
• 
  LR chi2(1) 484.77
• 
  Prob gt chi2 0.0000
• Log likelihood -287.49045
  Pseudo R2 0.4574

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Logistic regression 3 ordinal predictor

• Variable
• Names are
• ghq01 ghq02 ghq03 ghq04 ghq05 ghq06
• ghq07 ghq08 ghq09 ghq10 ghq11 ghq12
• f1 id
• Missing are all (-9999)
• usevariables sumodd ghq02_1 ghq02_2
• categorical are sumodd
• idvariable id
• Define
• sumodd ghq01 ghq03 ghq05 ghq07 ghq09
  ghq11
• !sumeven ghq02 ghq04 ghq06 ghq08 ghq10
  ghq12
• cut sumodd (16)
• ghq02_1 ghq02
• ghq02_2 ghq02
• cut ghq02_1 (1)
• cut ghq02_2 (2)
• if ghq02_2 eq 1 then ghq02_1 0

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• MODEL RESULTS
• 
  Two-Tailed
• Estimate S.E.
  Est./S.E. P-Value
• SUMODD ON
• GHQ02_1 2.103 0.524
  4.015 0.000
• GHQ02_2 3.786 0.515
  7.348 0.000
• Thresholds
• SUMODD1 4.182 0.504
  8.301 0.000
• CONFIDENCE INTERVALS OF MODEL RESULTS
• Lower .5 Lower 2.5
  Estimate Upper 2.5 Upper .5
• SUMODD ON
• GHQ02_1 0.754 1.076
  2.103 3.129 3.452

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Compare with Stata

• . recode ghq02 43
• (ghq02 88 changes made)
• . xi logistic sumodd_g i.ghq02
• i.ghq02 _Ighq02_1-3 (naturally
  coded _Ighq02_1 omitted)
• Logistic regression
  Number of obs 1119
• 
  LR chi2(2) 190.38
• 
  Prob gt chi2 0.0000
• Log likelihood -434.68929
  Pseudo R2 0.1796
• --------------------------------------------------
  ----------------------------
• sumodd_g Odds Ratio Std. Err. z
  Pgtz 95 Conf. Interval
• -------------------------------------------------
  ----------------------------
• _Ighq02_2 8.1875 4.287567 4.02
  0.000 2.933598 22.85083
• _Ighq02_3 44.07477 22.7058 7.35
  0.000 16.05759 120.9761
• --------------------------------------------------
  ----------------------------

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