Results: Diversity1.sas

Diversity study: Based on Catalyst (2007)

The CONTENTS Procedure

The CONTENTS Procedure

WORK.HR

Attributes

Data Set Name WORK.HR Observations 300
Member Type DATA Variables 46
Engine V9 Indexes 0
Created 03/15/2017 10:08:48 Observation Length 368
Last Modified 03/15/2017 10:08:48 Deleted Observations 0
Protection   Compressed NO
Data Set Type   Sorted NO
Label      
Data Representation SOLARIS_X86_64, LINUX_X86_64, ALPHA_TRU64, LINUX_IA64    
Encoding utf-8 Unicode (UTF-8)    

Engine/Host Information

Engine/Host Dependent Information
Data Set Page Size 65536
Number of Data Set Pages 2
First Data Page 1
Max Obs per Page 177
Obs in First Data Page 156
Number of Data Set Repairs 0
Filename /tmp/SAS_work6A6D00000D18_localhost.localdomain/SAS_work7A2A00000D18_localhost.localdomain/hr.sas7bdat
Release Created 9.0401M3
Host Created Linux
Inode Number 135984
Access Permission rw-rw-r--
Owner Name sasdemo
File Size 192KB
File Size (bytes) 196608

Variables

Alphabetic List of Variables and Attributes
# Variable Type Len Format Label
45 Age Num 8 BEST12. Age
46 CAN_Foreign_Born Num 8 BEST15. CAN_Foreign_Born
1 Com1 Num 8 BEST6. Com1
2 Com2 Num 8 BEST6. Com2
3 Com3 Num 8 BEST6. Com3
4 Com4 Num 8 BEST6. Com4
5 Com5 Num 8 BEST6. Com5
6 Com6 Num 8 BEST7. Com6
7 Com7 Num 8 BEST6. Com7
8 Com8 Num 8 BEST6. Com8
9 Com9 Num 8 BEST6. Com9
10 Com10 Num 8 BEST6. Com10
43 EDUCLevel Num 8 BEST12. EDUCLevel
28 Fair1 Num 8 BEST6. Fair1
29 Fair2 Num 8 BEST6. Fair2
30 Fair3 Num 8 BEST6. Fair3
31 Fair4 Num 8 BEST6. Fair4
32 Fair5 Num 8 BEST7. Fair5
33 Fair6 Num 8 BEST6. Fair6
41 Gender Num 8 BEST7. Gender
44 MaritalStatus Num 8 BEST12. MaritalStatus
11 RelC1 Num 8 BEST5. RelC1
12 RelC2 Num 8 BEST6. RelC2
13 RelC3 Num 8 BEST6. RelC3
14 RelC4 Num 8 BEST6. RelC4
15 RelC5 Num 8 BEST6. RelC5
16 RelM1 Num 8 BEST6. RelM1
17 RelM2 Num 8 BEST6. RelM2
18 RelM3 Num 8 BEST6. RelM3
19 RelM4 Num 8 BEST6. RelM4
20 RelM5 Num 8 BEST7. RelM5
21 RelM6 Num 8 BEST7. RelM6
22 RelM7 Num 8 BEST6. RelM7
23 RelM8 Num 8 BEST6. RelM8
24 RelM9 Num 8 BEST6. RelM9
25 RelM10 Num 8 BEST7. RelM10
26 RelM11 Num 8 BEST7. RelM11
27 RelM12 Num 8 BEST7. RelM12
38 SM1 Num 8 BEST7. SM1
39 SM2 Num 8 BEST6. SM2
40 SM3 Num 8 BEST6. SM3
34 Sat1 Num 8 BEST6. Sat1
35 Sat2 Num 8 BEST6. Sat2
36 Sat3 Num 8 BEST6. Sat3
37 Sat4 Num 8 BEST6. Sat4
42 VisMinority Num 8 BEST12. VisMinority

Diversity study: Based on Catalyst (2007)

The FREQ Procedure

The FREQ Procedure

Table Gender * VisMinority

Cross-Tabular Freq Table

Frequency
Table of Gender by VisMinority
Gender(Gender) VisMinority(VisMinority)
. White Visible Minority Total
.
0
2
0
2
Male
12
109
52
173
Female
8
83
34
125
Total
20
194
86
300

Diversity study: Based on Catalyst (2007)

Measurement model only

The CALIS Procedure

Covariance Structure Analysis: Maximum Likelihood Estimation

The CALIS Procedure

Fit

Fit Summary

Fit Summary
Chi-Square 59.7243
Chi-Square DF 50
Pr > Chi-Square 0.1632

Diversity study: Based on Catalyst (2007)

First model based on the path diagram

The CALIS Procedure

Covariance Structure Analysis: Model and Initial Values

The CALIS Procedure

Modeling Specification

Modeling Info

Modeling Information
Maximum Likelihood Estimation
Data Set WORK.DIVERSE
N Records Read 300
N Records Used 300
N Obs 300
Model Type LINEQS
Analysis Covariances

Optimization

Diversity study: Based on Catalyst (2007)

First model based on the path diagram

The CALIS Procedure

Covariance Structure Analysis: Optimization

Levenberg-Marquardt Optimization

Scaling Update of More (1978)

Optimization Problem

Parameter Estimates 39
Functions (Observations) 91
Lower Bounds 19
Upper Bounds 0

Iteration Start

Optimization Start
Active Constraints 0 Objective Function 0.4033406186
Max Abs Gradient Element 0.426040968 Radius 1.3527112028

Iteration History

Iteration   Restarts Function
Calls		 Active
Constraints		   Objective
Function		 Objective
Function
Change		 Max Abs
Gradient
Element		 Lambda Ratio
Between
Actual
and
Predicted
Change
1   0 4 0   0.24252 0.1608 0.1624 0 0.919
2   0 6 0   0.22614 0.0164 0.0250 0 1.011
3   0 8 0   0.22594 0.000195 0.00172 0 0.907
4   0 10 0   0.22594 7.227E-6 0.000794 0 0.887
5   0 12 0   0.22594 3.284E-7 0.000068 0 0.877
6   0 14 0   0.22594 1.708E-8 0.000052 0 0.871
7   0 16 0   0.22594 1.001E-9 3.63E-6 0 0.867

Iteration Stop

Optimization Results
Iterations 7 Function Calls 19
Jacobian Calls 9 Active Constraints 0
Objective Function 0.2259365252 Max Abs Gradient Element 3.6300592E-6
Lambda 0 Actual Over Pred Change 0.8666335824
Radius 0.0003024162    
Convergence criterion (ABSGCONV=0.00001) satisfied.

Diversity study: Based on Catalyst (2007)

First model based on the path diagram

The CALIS Procedure

Covariance Structure Analysis: Maximum Likelihood Estimation

Fit

Fit Summary

Fit Summary
Chi-Square 67.7810
Chi-Square DF 52
Pr > Chi-Square 0.0697

Diversity study: Based on Catalyst (2007)

First model based on the path diagram

The CALIS Procedure

Covariance Structure Analysis: Maximum Likelihood Estimation

ML Estimation

Equations

Linear Equations
commit1 =   1.0000   Fcommit + 1.0000   e1                                
commit2 =   0.9860 (**) Fcommit + 1.0000   e2                                
relcoll1 =   1.0000   Frelcoll + 1.0000   e3                                
relcoll2 =   0.8996 (**) Frelcoll + 1.0000   e4                                
relman1 =   1.0000   Frelman + 1.0000   e5                                
relman2 =   0.9988 (**) Frelman + 1.0000   e6                                
fairad1 =   1.0000   Ffairad + 1.0000   e7                                
fairad2 =   0.9100 (**) Ffairad + 1.0000   e8                                
csat1 =   1.0000   Fcsat + 1.0000   e9                                
csat2 =   0.9711 (**) Fcsat + 1.0000   e10                                
SM1 =   1.0000   FSM + 1.0000   e11                                
SM2 =   0.8798 (**) FSM + 1.0000   e12                                
SM3 =   0.9031 (**) FSM + 1.0000   e13                                
Ffairad =   0.2341 (**) FSM + 0.3317 (**) Frelman + 1.0000   epsilon1                        
Fcsat =   0.4945 (**) Ffairad + -0.0189 (ns) FSM + 0.0381 (ns) Frelman + 1.0000   epsilon2                
Fcommit =   0.5197 (**) Ffairad + 0.1973 (ns) Fcsat + 0.2381 (ns) Frelcoll + 0.2767 (ns) FSM + 0.00933 (ns) Frelman + 1.0000   epsilon3

Linear Effects

Effects in Linear Equations
Variable Predictor Parameter Estimate Standard
Error		 t Value Pr > |t|
commit1 Fcommit   1.00000      
commit2 Fcommit lambda2 0.98601 0.06865 14.3620 <.0001
relcoll1 Frelcoll   1.00000      
relcoll2 Frelcoll lambda4 0.89965 0.08511 10.5706 <.0001
relman1 Frelman   1.00000      
relman2 Frelman lambda6 0.99878 0.04130 24.1814 <.0001
fairad1 Ffairad   1.00000      
fairad2 Ffairad lambda8 0.90997 0.05963 15.2596 <.0001
csat1 Fcsat   1.00000      
csat2 Fcsat lambda10 0.97112 0.06088 15.9506 <.0001
SM1 FSM   1.00000      
SM2 FSM lambda12 0.87980 0.05845 15.0535 <.0001
SM3 FSM lambda13 0.90308 0.07053 12.8049 <.0001
Ffairad FSM gamma3 0.23409 0.09812 2.3857 0.0170
Ffairad Frelman gamma5 0.33171 0.02519 13.1657 <.0001
Fcsat Ffairad beta2 0.49450 0.08105 6.1015 <.0001
Fcsat FSM gamma4 -0.01890 0.07727 -0.2445 0.8068
Fcsat Frelman gamma7 0.03814 0.03158 1.2079 0.2271
Fcommit Ffairad beta1 0.51973 0.17309 3.0027 0.0027
Fcommit Fcsat beta3 0.19725 0.16353 1.2062 0.2277
Fcommit Frelcoll gamma1 0.23808 0.14215 1.6749 0.0940
Fcommit FSM gamma2 0.27672 0.14419 1.9192 0.0550
Fcommit Frelman gamma6 0.00933 0.06346 0.1471 0.8831

Variance Parms

Estimates for Variances of Exogenous Variables
Variable
Type		 Variable Parameter Estimate Standard
Error		 t Value Pr > |t|
Latent Frelcoll v1 2.75436 0.39202 7.0260 <.0001
  FSM v2 1.60890 0.18132 8.8734 <.0001
  Frelman v3 27.41466 2.80028 9.7900 <.0001
Error e1 omega01 1.91828 0.56827 3.3757 0.0007
  e2 omega02 3.02575 0.58573 5.1658 <.0001
  e3 omega03 1.46880 0.25209 5.8265 <.0001
  e4 omega04 0.99053 0.19685 5.0320 <.0001
  e5 omega05 6.24066 0.89982 6.9355 <.0001
  e6 omega06 2.37489 0.76034 3.1235 0.0018
  e7 omega07 1.59066 0.27772 5.7276 <.0001
  e8 omega08 2.93589 0.31430 9.3412 <.0001
  e9 omega09 1.22832 0.17987 6.8289 <.0001
  e10 omega10 0.63418 0.15003 4.2269 <.0001
  e11 omega11 0.43159 0.08719 4.9500 <.0001
  e12 omega12 0.53252 0.07578 7.0271 <.0001
  e13 omega13 1.38079 0.13180 10.4766 <.0001
Disturbance epsilon1 psi1 2.26212 0.34458 6.5648 <.0001
  epsilon2 psi2 1.40796 0.20104 7.0033 <.0001
  epsilon3 psi3 5.77791 0.73582 7.8524 <.0001

Covariance Parms

Covariances Among Exogenous Variables
Var1 Var2 Parameter Estimate Standard
Error		 t Value Pr > |t|
Frelcoll FSM c1 0.43044 0.14906 2.8877 0.0039
Frelcoll Frelman c2 5.31830 0.72514 7.3341 <.0001
FSM Frelman c3 2.04883 0.44681 4.5854 <.0001

Sq. Mult. Correlations

Squared Multiple Correlations
Variable Error Variance Total Variance R-Square
commit1 1.91828 11.42172 0.8320
commit2 3.02575 12.26511 0.7533
relcoll1 1.46880 4.22316 0.6522
relcoll2 0.99053 3.21982 0.6924
relman1 6.24066 33.65532 0.8146
relman2 2.37489 29.72243 0.9201
fairad1 1.59066 7.27556 0.7814
fairad2 2.93589 7.64329 0.6159
csat1 1.22832 4.40529 0.7212
csat2 0.63418 3.63027 0.8253
SM1 0.43159 2.04049 0.7885
SM2 0.53252 1.77790 0.7005
SM3 1.38079 2.69293 0.4873
Ffairad 2.26212 5.68490 0.6021
Fcsat 1.40796 3.17697 0.5568
Fcommit 5.77791 9.50344 0.3920

Diversity study: Based on Catalyst (2007)

Second model: Saturated latent variable part

The CALIS Procedure

Covariance Structure Analysis: Model and Initial Values

The CALIS Procedure

Modeling Specification

Modeling Info

Modeling Information
Maximum Likelihood Estimation
Data Set WORK.DIVERSE
N Records Read 300
N Records Used 300
N Obs 300
Model Type LINEQS
Analysis Covariances

Optimization

Diversity study: Based on Catalyst (2007)

Second model: Saturated latent variable part

The CALIS Procedure

Covariance Structure Analysis: Optimization

Levenberg-Marquardt Optimization

Scaling Update of More (1978)

Optimization Problem

Parameter Estimates 41
Functions (Observations) 91
Lower Bounds 19
Upper Bounds 0

Iteration Start

Optimization Start
Active Constraints 0 Objective Function 0.3015894083
Max Abs Gradient Element 0.2887340274 Radius 1

Iteration History

Iteration   Restarts Function
Calls		 Active
Constraints		   Objective
Function		 Objective
Function
Change		 Max Abs
Gradient
Element		 Lambda Ratio
Between
Actual
and
Predicted
Change
1   0 4 0   0.21030 0.0913 0.1628 0 0.841
2   0 6 0   0.19925 0.0111 0.0117 0 0.980
3   0 8 0   0.19909 0.000164 0.00173 0 0.881
4   0 10 0   0.19908 5.722E-6 0.000298 0 0.844
5   0 12 0   0.19908 2.384E-7 0.000071 0 0.821
6   0 14 0   0.19908 1.11E-8 0.000012 0 0.800
7   0 16 0   0.19908 5.72E-10 3.313E-6 0 0.783

Iteration Stop

Optimization Results
Iterations 7 Function Calls 19
Jacobian Calls 9 Active Constraints 0
Objective Function 0.1990811467 Max Abs Gradient Element 3.3128119E-6
Lambda 0 Actual Over Pred Change 0.7829840241
Radius 0.0002372392    
Convergence criterion (GCONV=1E-8) satisfied.

Diversity study: Based on Catalyst (2007)

Second model: Saturated latent variable part

The CALIS Procedure

Covariance Structure Analysis: Maximum Likelihood Estimation

Fit

Fit Summary

Fit Summary
Chi-Square 59.7243
Chi-Square DF 50
Pr > Chi-Square 0.1632

Diversity study: Based on Catalyst (2007)

Second model: Saturated latent variable part

The CALIS Procedure

Covariance Structure Analysis: Maximum Likelihood Estimation

ML Estimation

Equations

Linear Equations
commit1 =   1.0000   Fcommit + 1.0000   e1                                
commit2 =   0.9863 (**) Fcommit + 1.0000   e2                                
relcoll1 =   1.0000   Frelcoll + 1.0000   e3                                
relcoll2 =   0.8732 (**) Frelcoll + 1.0000   e4                                
relman1 =   1.0000   Frelman + 1.0000   e5                                
relman2 =   1.0070 (**) Frelman + 1.0000   e6                                
fairad1 =   1.0000   Ffairad + 1.0000   e7                                
fairad2 =   0.9105 (**) Ffairad + 1.0000   e8                                
csat1 =   1.0000   Fcsat + 1.0000   e9                                
csat2 =   0.9775 (**) Fcsat + 1.0000   e10                                
SM1 =   1.0000   FSM + 1.0000   e11                                
SM2 =   0.8798 (**) FSM + 1.0000   e12                                
SM3 =   0.9028 (**) FSM + 1.0000   e13                                
Ffairad =   0.2319 (**) FSM + 0.2838 (**) Frelman + 0.2372 (**) Frelcoll + 1.0000   epsilon1                
Fcsat =   0.4807 (**) Ffairad + -0.0173 (ns) FSM + 0.0274 (ns) Frelman + 0.0747 (ns) Frelcoll + 1.0000   epsilon2        
Fcommit =   0.5178 (**) Ffairad + 0.1887 (ns) Fcsat + 0.2079 (ns) Frelcoll + 0.2775 (ns) FSM + 0.0173 (ns) Frelman + 1.0000   epsilon3

Linear Effects

Effects in Linear Equations
Variable Predictor Parameter Estimate Standard
Error		 t Value Pr > |t|
commit1 Fcommit   1.00000      
commit2 Fcommit lambda2 0.98633 0.06804 14.4966 <.0001
relcoll1 Frelcoll   1.00000      
relcoll2 Frelcoll lambda4 0.87323 0.08001 10.9133 <.0001
relman1 Frelman   1.00000      
relman2 Frelman lambda6 1.00701 0.04300 23.4201 <.0001
fairad1 Ffairad   1.00000      
fairad2 Ffairad lambda8 0.91048 0.05951 15.3004 <.0001
csat1 Fcsat   1.00000      
csat2 Fcsat lambda10 0.97749 0.06111 15.9963 <.0001
SM1 FSM   1.00000      
SM2 FSM lambda12 0.87984 0.05845 15.0530 <.0001
SM3 FSM lambda13 0.90282 0.07052 12.8015 <.0001
Ffairad FSM gamma3 0.23192 0.09704 2.3899 0.0169
Ffairad Frelman gamma5 0.28383 0.03104 9.1430 <.0001
Ffairad Frelcoll gamma8 0.23721 0.09723 2.4396 0.0147
Fcsat Ffairad beta2 0.48071 0.08097 5.9372 <.0001
Fcsat FSM gamma4 -0.01730 0.07659 -0.2259 0.8212
Fcsat Frelman gamma7 0.02744 0.03176 0.8638 0.3877
Fcsat Frelcoll gamma9 0.07470 0.07632 0.9788 0.3277
Fcommit Ffairad beta1 0.51782 0.17290 2.9949 0.0027
Fcommit Fcsat beta3 0.18868 0.16383 1.1517 0.2494
Fcommit Frelcoll gamma1 0.20787 0.14340 1.4497 0.1472
Fcommit FSM gamma2 0.27750 0.14412 1.9255 0.0542
Fcommit Frelman gamma6 0.01732 0.05759 0.3008 0.7636

Variance Parms

Estimates for Variances of Exogenous Variables
Variable
Type		 Variable Parameter Estimate Standard
Error		 t Value Pr > |t|
Latent Frelcoll v1 2.83769 0.39231 7.2333 <.0001
  FSM v2 1.60908 0.18133 8.8736 <.0001
  Frelman v3 27.24343 2.81149 9.6900 <.0001
Error e1 omega01 1.92138 0.56550 3.3977 0.0007
  e2 omega02 3.02273 0.58333 5.1818 <.0001
  e3 omega03 1.38546 0.24617 5.6281 <.0001
  e4 omega04 1.05600 0.18769 5.6262 <.0001
  e5 omega05 6.41189 0.94945 6.7533 <.0001
  e6 omega06 2.09566 0.82124 2.5518 0.0107
  e7 omega07 1.59383 0.27646 5.7651 <.0001
  e8 omega08 2.93326 0.31344 9.3582 <.0001
  e9 omega09 1.24904 0.17917 6.9711 <.0001
  e10 omega10 0.61452 0.14943 4.1123 <.0001
  e11 omega11 0.43141 0.08721 4.9467 <.0001
  e12 omega12 0.53228 0.07579 7.0229 <.0001
  e13 omega13 1.38140 0.13183 10.4787 <.0001
Disturbance epsilon1 psi1 2.21248 0.33828 6.5403 <.0001
  epsilon2 psi2 1.39244 0.19788 7.0368 <.0001
  epsilon3 psi3 5.78281 0.73341 7.8849 <.0001

Covariance Parms

Covariances Among Exogenous Variables
Var1 Var2 Parameter Estimate Standard
Error		 t Value Pr > |t|
Frelcoll FSM c1 0.43989 0.15112 2.9108 0.0036
Frelcoll Frelman c2 5.28792 0.72115 7.3326 <.0001
FSM Frelman c3 2.03484 0.44490 4.5737 <.0001

Sq. Mult. Correlations

Squared Multiple Correlations
Variable Error Variance Total Variance R-Square
commit1 1.92138 11.48982 0.8328
commit2 3.02273 12.33132 0.7549
relcoll1 1.38546 4.22316 0.6719
relcoll2 1.05600 3.21982 0.6720
relman1 6.41189 33.65532 0.8095
relman2 2.09566 29.72243 0.9295
fairad1 1.59383 7.27556 0.7809
fairad2 2.93326 7.64329 0.6162
csat1 1.24904 4.40529 0.7165
csat2 0.61452 3.63027 0.8307
SM1 0.43141 2.04049 0.7886
SM2 0.53228 1.77790 0.7006
SM3 1.38140 2.69293 0.4870
Ffairad 2.21248 5.68173 0.6106
Fcsat 1.39244 3.15625 0.5588
Fcommit 5.78281 9.56844 0.3956

Diversity study: Based on Catalyst (2007)

Correlations separately for men and women

The CORR Procedure

The CORR Procedure

Gender=Male

Variables Information

Gender=Male

6 Variables: commit relcol relman fairad csat SM

Simple Statistics

Simple Statistics
Variable N Mean Std Dev Sum Minimum Maximum
commit 173 42.34682 6.31682 7326 16.00000 50.00000
relcol 173 21.07514 3.68531 3646 5.00000 25.00000
relman 173 45.75145 11.44205 7915 13.00000 60.00000
fairad 173 20.01156 5.43673 3462 7.00000 30.00000
csat 173 14.71676 3.89478 2546 4.00000 20.00000
SM 173 11.84971 3.69797 2050 3.00000 18.00000

Pearson Correlations

Pearson Correlation Coefficients, N = 173
Prob > |r| under H0: Rho=0
  commit relcol relman fairad csat SM
commit
1.00000
 
0.47139
<.0001
0.63016
<.0001
0.59206
<.0001
0.48870
<.0001
0.34447
<.0001
relcol
0.47139
<.0001
1.00000
 
0.64433
<.0001
0.53852
<.0001
0.46812
<.0001
0.20006
0.0083
relman
0.63016
<.0001
0.64433
<.0001
1.00000
 
0.70633
<.0001
0.56201
<.0001
0.33452
<.0001
fairad
0.59206
<.0001
0.53852
<.0001
0.70633
<.0001
1.00000
 
0.66461
<.0001
0.27250
0.0003
csat
0.48870
<.0001
0.46812
<.0001
0.56201
<.0001
0.66461
<.0001
1.00000
 
0.28767
0.0001
SM
0.34447
<.0001
0.20006
0.0083
0.33452
<.0001
0.27250
0.0003
0.28767
0.0001
1.00000
 

Diversity study: Based on Catalyst (2007)

Correlations separately for men and women

The CORR Procedure

Gender=Female

Variables Information

Gender=Female

6 Variables: commit relcol relman fairad csat SM

Simple Statistics

Simple Statistics
Variable N Mean Std Dev Sum Minimum Maximum
commit 125 42.14400 6.62802 5268 10.00000 50.00000
relcol 125 21.29600 3.33608 2662 10.00000 25.00000
relman 125 45.78400 10.02061 5723 14.00000 60.00000
fairad 125 19.92800 4.45257 2491 9.00000 29.00000
csat 125 14.76800 3.54950 1846 4.00000 20.00000
SM 125 12.35200 3.99042 1544 3.00000 18.00000

Pearson Correlations

Pearson Correlation Coefficients, N = 125
Prob > |r| under H0: Rho=0
  commit relcol relman fairad csat SM
commit
1.00000
 
0.23221
0.0092
0.16330
0.0688
0.38374
<.0001
0.38398
<.0001
0.18864
0.0351
relcol
0.23221
0.0092
1.00000
 
0.30058
0.0007
0.32828
0.0002
0.28507
0.0013
0.16961
0.0586
relman
0.16330
0.0688
0.30058
0.0007
1.00000
 
0.59124
<.0001
0.47245
<.0001
0.17919
0.0455
fairad
0.38374
<.0001
0.32828
0.0002
0.59124
<.0001
1.00000
 
0.58064
<.0001
0.27241
0.0021
csat
0.38398
<.0001
0.28507
0.0013
0.47245
<.0001
0.58064
<.0001
1.00000
 
0.09008
0.3178
SM
0.18864
0.0351
0.16961
0.0586
0.17919
0.0455
0.27241
0.0021
0.09008
0.3178
1.00000