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Relating LCA Results 1 Running Head: Relating LCA Results Relating Latent Class Analysis Results to Variables not Included in the Analysis

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Published by , 2016-07-24 20:48:02

Running Head: Relating LCA Results Relating Latent Class ...

Relating LCA Results 1 Running Head: Relating LCA Results Relating Latent Class Analysis Results to Variables not Included in the Analysis

Relating LCA Results 51

Table Six. Monte Carlo Covariate Regression Results: Logistic Regression
Coefficient= 0

Entropy 0.4 0.6 0.8 1.0
Sample Size 250 1000
250 1,000 250 1000 250 1000
Est.
S.D. Most Likely Class Membership Regression
S.E.
MSE 0.003 0.002 0.004 0.003 0.011 0.003 0.01 0.004
Coverage 0.128 0.061
Est./S.E. 0.143 0.066 0.126 0.063 0.128 0.063 0.128 0.063
Prop Est/ SE > 1.96 0.017 0.004
0.141 0.065 0.129 0.064 0.128 0.064 0.958 0.958
Est. 0.076 0.0635
S.D. 0.02 0.004 0.016 0.004 0.017 0.004 0.042 0.042
S.E.
MSE 0.954 0.938 0.954 0.955 0.954 0.95
Coverage
Est./S.E. 0.021 0.031 0.031 0.047 0.086 0.047
Prop Est/ SE > 1.96
0.046 0.062 0.046 0.045 0.046 0.05
Est.
S.D. Probability Regression
S.E.
MSE 0.001 0.005 0.009 0.011 0.005 0.002 0.01 0.004
Coverage 0.128 0.061
Est./S.E. 0.192 0.071 0.147 0.195 0.094 0.047 0.128 0.063
Prop Est/ SE > 1.96 0.017 0.004
0.183 0.069 0.141 0.189 0.092 0.046 0.958 0.958
Est. 0.076 0.0635
S.D. 0.033 0.005 0.022 0.005 0.009 0.002 0.042 0.042
S.E.
MSE 0.946 0.948 0.96 0.95 0.944 0.952
Coverage
Est./S.E. 0.005 0.072 0.064 0.058 0.054 0.043
Prop Est/ SE > 1.96
0.054 0.064 0.046 0.052 0.058 0.052
Est.
S.D. Probability-Weighted Regression
S.E.
MSE 0.0004 0.003 0.005 0.001 0.008 0.002 0.01 0.004
Coverage 0.128 0.0612
Est./S.E. 0.105 0.043 0.106 0.052 0.118 0.057 0.128 0.0634
Prop Est/ SE > 1.96 0.017 0.004
0.1 0.042 0.106 0.052 0.117 0.058 0.958 0.958
0.076 0.0635
0.011 0.002 0.011 0.003 0.014 0.003 0.042 0.042

0.946 0.932 0.956 0.95 0.95 0.95

0.004 0.071 0.047 0.019 0.068 0.034

0.054 0.068 0.044 0.05 0.05 0.05

Pseudo-Class Regression

0.0004 0.003 0.005 0.001 0.008 0.002 0.01 0.004
0.128 0.061
0.105 0.043 0.106 0.052 0.118 0.057 0.128 0.063
0.017 0.004
0.167 0.081 0.149 0.074 0.139 0.069 0.958 0.958
0.076 0.0635
0.011 0.002 0.011 0.003 0.014 0.003 0.042 0.042

0.999 0.999 0.994 0.998 0.982 0.978

0.002 0.037 0.034 0.014 0.058 0.029

0 0 0.006 0.002 0.018 0.022

Covariates in Model

0.01 0.007 0.008 0.003 0.009 0.002 0.01 0.004
0.128 0.061
0.283 0.106 0.164 0.079 0.144 0.069 0.128 0.063
0.017 0.004
0.301 0.107 0.172 0.079 0.144 0.07 0.958 0.958
0.076 0.0635
0.079 0.011 0.027 0.006 0.021 0.005 0.042 0.042

0.952 0.948 0.964 0.952 0.952 0.952

0.033 0.065 0.047 0.038 0.063 0.029

0.048 0.052 0.036 0.048 0.048 0.048

Relating LCA Results 52

Table Seven. Monte Carlo Covariate Regression Results: Logistic Regression
Coefficient = 0.5

Entropy 0.4 0.6 0.8 1.0
Sample Size 250 1000
250 1,000 250 1000 250 1000
Est.
S.D. Most Likely Class Membership Regression
S.E.
MSE 0.245 0.274 0.371 0.371 0.445 0.436 0.518 0.506
Coverage 0.148 0.069
Est./S.E. 0.148 0.069 0.138 0.068 0.142 0.07 0.139 0.069
Prop Est/ SE > 1.96 0.022 0.005
0.143 0.066 0.135 0.067 0.137 0.067 0.952 0.956
Est. 3.72 7.33
S.D. 0.088 0.056 0.036 0.021 0.023 0.009 0.976
S.E. 1
MSE 0.54 0.078 0.812 0.496 0.918 0.828
Coverage
Est./S.E. 1.71 4.15 2.74 5.53 3.25 6.51
Prop Est/ SE > 1.96
0.402 0.997 0.774 1 0.906 1
Est.
S.D. Probability Regression
S.E.
MSE 0.263 0.237 0.303 0.287 0.307 0.302 0.518 0.506
Coverage 0.148 0.069
Est./S.E. 0.143 0.053 0.108 0.05 0.097 0.047 0.139 0.069
Prop Est/ SE > 1.96 0.022 0.005
0.133 0.05 0.102 0.049 0.095 0.047 0.952 0.956
Est. 3.72 7.33
S.D. 0.076 0.072 0.135 0.048 0.047 0.043 0.976
S.E. 1
MSE 0.51 0.004 0 0.018 0.498 0
Coverage
Est./S.E. 1.97 4.74 2.97 5.86 3.23 10.3
Prop Est/ SE > 1.96
0.52 0.996 0.84 1 0.892 1
Est.
S.D. Probability-Weighted Regression
S.E.
MSE 0.197 0.2 0.326 0.321 0.418 0.409 0.518 0.506
Coverage 0.148 0.069
Est./S.E. 0.106 0.045 0.112 0.055 0.13 0.062 0.139 0.069
Prop Est/ SE > 1.96 0.022 0.005
0.099 0.042 0.108 0.053 0.123 0.06 0.952 0.956
3.72 7.33
0.103 0.092 0.043 0.035 0.023 0.012 0.976
1
0.156 0 0.616 0.09 0.87 0.664

1.99 4.76 3.02 6.06 3.39 6.81

0.518 0.998 0.86 1 0.932 1

Pseudo-Class Regression

0.197 0.2 0.326 0.321 0.418 0.409 0.518 0.506
0.148 0.069
0.106 0.045 0.112 0.055 0.131 0.062 0.139 0.069
0.022 0.005
0.176 0.083 0.156 0.077 0.148 0.074 0.952 0.956
3.72 7.33
0.103 0.093 0.043 0.035 0.024 0.012 0.976
1
0.58 0.2 0.856 0.304 0.934 0.792

1.12 2.41 2.09 4.17 2.82 5.53

0.186 0.81 0.578 0.998 0.864 1

Covariates in Model

0.536 0.516 0.521 0.506 0.519 0.506 0.518 0.506
0.148 0.069
0.316 0.122 0.19 0.09 0.166 0.079 0.139 0.069
0.022 0.005
0.346 0.121 0.19 0.088 0.159 0.077 0.952 0.956
3.72 7.33
0.101 0.015 0.037 0.008 0.028 0.006 0.976
1
0.97 0.954 0.96 0.94 0.952 0.944

1.55 4.26 2.74 5.75 3.26 6.57

0.362 0.996 0.81 1 0.926 1

Relating LCA Results 53

Figure One 1b. Latent Class Analysis with Covariates
1a. Latent Class Analysis Diagram
u1 ur
u1 ur

C xC

1c. Latent Class Analysis with Distal 1d. Crossed Profile Plot Class One
Outcome Diagram Class Two
1
u1 ur 0.9
0.8
Cy 0.7
0.6
0.5
0.4
0.3
0.2
0.1

0
1 2 3 4 5 6 7 8 9 10
Items

Relating LCA Results 54
Figure Two. Antisocial Behavior data Profile Plot

Relating LCA Results 55
Figure Three. TOCA data Profile Plot


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