spss24.918.amw

C:\Users\86176\Desktop\spss24.918.amw

Analysis Summary

Date and Time

Title

Groups

Group number 1 (Group number 1)

Notes for Group (Group number 1)

Variable Summary (Group number 1)

Your model contains the following variables (Group number 1)

Variable counts (Group number 1)

Parameter Summary (Group number 1)

Assessment of normality (Group number 1)

Observations farthest from the centroid (Mahalanobis distance) (Group number 1)

Sample Moments (Group number 1)

Sample Covariances (Group number 1)

Sample Correlations (Group number 1)

Models

Default model (Default model)

Notes for Model (Default model)

Computation of degrees of freedom (Default model)

Result (Default model)

Group number 1 (Group number 1 - Default model)

Estimates (Group number 1 - Default model)

Scalar Estimates (Group number 1 - Default model)

Maximum Likelihood Estimates

Regression Weights: (Group number 1 - Default model)

Standardized Regression Weights: (Group number 1 - Default model)

Variances: (Group number 1 - Default model)

Squared Multiple Correlations: (Group number 1 - Default model)

User-defined estimands: (Group number 1 - Default model)

Matrices (Group number 1 - Default model)

Implied (for all variables) Covariances (Group number 1 - Default model)

Implied (for all variables) Correlations (Group number 1 - Default model)

Implied Covariances (Group number 1 - Default model)

Implied Correlations (Group number 1 - Default model)

Residual Covariances (Group number 1 - Default model)

Standardized Residual Covariances (Group number 1 - Default model)

Factor Score Weights (Group number 1 - Default model)

Total Effects (Group number 1 - Default model)

Standardized Total Effects (Group number 1 - Default model)

Direct Effects (Group number 1 - Default model)

Standardized Direct Effects (Group number 1 - Default model)

Indirect Effects (Group number 1 - Default model)

Standardized Indirect Effects (Group number 1 - Default model)

Modification Indices (Group number 1 - Default model)

Covariances: (Group number 1 - Default model)

Variances: (Group number 1 - Default model)

Regression Weights: (Group number 1 - Default model)

Bootstrap (Group number 1 - Default model)

Bootstrap standard errors (Group number 1 - Default model)

Scalar Estimates (Group number 1 - Default model)

Regression Weights: (Group number 1 - Default model)

Standardized Regression Weights: (Group number 1 - Default model)

Variances: (Group number 1 - Default model)

Squared Multiple Correlations: (Group number 1 - Default model)

User-defined estimands: (Group number 1 - Default model)

Matrices (Group number 1 - Default model)

Implied (for all variables) Covariances - Standard Errors (Group number 1 - Default model)

Implied (for all variables) Correlations - Standard Errors (Group number 1 - Default model)

Implied Covariances - Standard Errors (Group number 1 - Default model)

Implied Correlations - Standard Errors (Group number 1 - Default model)

Sample Covariances - Standard Errors (Group number 1 - Default model)

Sample Correlations - Standard Errors (Group number 1 - Default model)

Factor Score Weights - Standard Errors (Group number 1 - Default model)

Total Effects - Standard Errors (Group number 1 - Default model)

Standardized Total Effects - Standard Errors (Group number 1 - Default model)

Direct Effects - Standard Errors (Group number 1 - Default model)

Standardized Direct Effects - Standard Errors (Group number 1 - Default model)

Indirect Effects - Standard Errors (Group number 1 - Default model)

Standardized Indirect Effects - Standard Errors (Group number 1 - Default model)

Bootstrap Confidence (Group number 1 - Default model)

Percentile method (Group number 1 - Default model)

90% confidence intervals (percentile method)

Scalar Estimates (Group number 1 - Default model)

Regression Weights: (Group number 1 - Default model)

Standardized Regression Weights: (Group number 1 - Default model)

Variances: (Group number 1 - Default model)

Squared Multiple Correlations: (Group number 1 - Default model)

User-defined estimands: (Group number 1 - Default model)

Matrices (Group number 1 - Default model)

Implied (for all variables) Covariances (Group number 1 - Default model)

Implied (for all variables) Covariances - Lower Bounds (PC) (Group number 1 - Default model)

Implied (for all variables) Covariances - Upper Bounds (PC) (Group number 1 - Default model)

Implied (for all variables) Covariances - Two Tailed Significance (PC) (Group number 1 - Default model)

Implied (for all variables) Correlations (Group number 1 - Default model)

Implied (for all variables) Correlations - Lower Bounds (PC) (Group number 1 - Default model)

Implied (for all variables) Correlations - Upper Bounds (PC) (Group number 1 - Default model)

Implied (for all variables) Correlations - Two Tailed Significance (PC) (Group number 1 - Default model)

Implied Covariances (Group number 1 - Default model)

Implied Covariances - Lower Bounds (PC) (Group number 1 - Default model)

Implied Covariances - Upper Bounds (PC) (Group number 1 - Default model)

Implied Covariances - Two Tailed Significance (PC) (Group number 1 - Default model)

Implied Correlations (Group number 1 - Default model)

Implied Correlations - Lower Bounds (PC) (Group number 1 - Default model)

Implied Correlations - Upper Bounds (PC) (Group number 1 - Default model)

Implied Correlations - Two Tailed Significance (PC) (Group number 1 - Default model)

Sample Covariances (Group number 1 - Default model)

Sample Covariances - Lower Bounds (PC) (Group number 1 - Default model)

Sample Covariances - Upper Bounds (PC) (Group number 1 - Default model)

Sample Covariances - Two Tailed Significance (PC) (Group number 1 - Default model)

Sample Correlations (Group number 1 - Default model)

Sample Correlations - Lower Bounds (PC) (Group number 1 - Default model)

Sample Correlations - Upper Bounds (PC) (Group number 1 - Default model)

Sample Correlations - Two Tailed Significance (PC) (Group number 1 - Default model)

Factor Score Weights (Group number 1 - Default model)

Factor Score Weights - Lower Bounds (PC) (Group number 1 - Default model)

Factor Score Weights - Upper Bounds (PC) (Group number 1 - Default model)

Factor Score Weights - Two Tailed Significance (PC) (Group number 1 - Default model)

Total Effects (Group number 1 - Default model)

Total Effects - Lower Bounds (PC) (Group number 1 - Default model)

Total Effects - Upper Bounds (PC) (Group number 1 - Default model)

Total Effects - Two Tailed Significance (PC) (Group number 1 - Default model)

Standardized Total Effects (Group number 1 - Default model)

Standardized Total Effects - Lower Bounds (PC) (Group number 1 - Default model)

Standardized Total Effects - Upper Bounds (PC) (Group number 1 - Default model)

Standardized Total Effects - Two Tailed Significance (PC) (Group number 1 - Default model)

Direct Effects (Group number 1 - Default model)

Direct Effects - Lower Bounds (PC) (Group number 1 - Default model)

Direct Effects - Upper Bounds (PC) (Group number 1 - Default model)

Direct Effects - Two Tailed Significance (PC) (Group number 1 - Default model)

Standardized Direct Effects (Group number 1 - Default model)

Standardized Direct Effects - Lower Bounds (PC) (Group number 1 - Default model)

Standardized Direct Effects - Upper Bounds (PC) (Group number 1 - Default model)

Standardized Direct Effects - Two Tailed Significance (PC) (Group number 1 - Default model)

Indirect Effects (Group number 1 - Default model)

Indirect Effects - Lower Bounds (PC) (Group number 1 - Default model)

Indirect Effects - Upper Bounds (PC) (Group number 1 - Default model)

Indirect Effects - Two Tailed Significance (PC) (Group number 1 - Default model)

Standardized Indirect Effects (Group number 1 - Default model)

Standardized Indirect Effects - Lower Bounds (PC) (Group number 1 - Default model)

Standardized Indirect Effects - Upper Bounds (PC) (Group number 1 - Default model)

Standardized Indirect Effects - Two Tailed Significance (PC) (Group number 1 - Default model)

Bias-corrected percentile method (Group number 1 - Default model)

90% confidence intervals (bias-corrected percentile method)

Scalar Estimates (Group number 1 - Default model)

Regression Weights: (Group number 1 - Default model)

Standardized Regression Weights: (Group number 1 - Default model)

Variances: (Group number 1 - Default model)

Squared Multiple Correlations: (Group number 1 - Default model)

User-defined estimands: (Group number 1 - Default model)

Matrices (Group number 1 - Default model)

Implied (for all variables) Covariances (Group number 1 - Default model)

Implied (for all variables) Covariances - Lower Bounds (BC) (Group number 1 - Default model)

Implied (for all variables) Covariances - Upper Bounds (BC) (Group number 1 - Default model)

Implied (for all variables) Covariances - Two Tailed Significance (BC) (Group number 1 - Default model)

Implied (for all variables) Correlations (Group number 1 - Default model)

Implied (for all variables) Correlations - Lower Bounds (BC) (Group number 1 - Default model)

Implied (for all variables) Correlations - Upper Bounds (BC) (Group number 1 - Default model)

Implied (for all variables) Correlations - Two Tailed Significance (BC) (Group number 1 - Default model)

Implied Covariances (Group number 1 - Default model)

Implied Covariances - Lower Bounds (BC) (Group number 1 - Default model)

Implied Covariances - Upper Bounds (BC) (Group number 1 - Default model)

Implied Covariances - Two Tailed Significance (BC) (Group number 1 - Default model)

Implied Correlations (Group number 1 - Default model)

Implied Correlations - Lower Bounds (BC) (Group number 1 - Default model)

Implied Correlations - Upper Bounds (BC) (Group number 1 - Default model)

Implied Correlations - Two Tailed Significance (BC) (Group number 1 - Default model)

Sample Covariances (Group number 1 - Default model)

Sample Covariances - Lower Bounds (BC) (Group number 1 - Default model)

Sample Covariances - Upper Bounds (BC) (Group number 1 - Default model)

Sample Covariances - Two Tailed Significance (BC) (Group number 1 - Default model)

Sample Correlations (Group number 1 - Default model)

Sample Correlations - Lower Bounds (BC) (Group number 1 - Default model)

Sample Correlations - Upper Bounds (BC) (Group number 1 - Default model)

Sample Correlations - Two Tailed Significance (BC) (Group number 1 - Default model)

Factor Score Weights (Group number 1 - Default model)

Factor Score Weights - Lower Bounds (BC) (Group number 1 - Default model)

Factor Score Weights - Upper Bounds (BC) (Group number 1 - Default model)

Factor Score Weights - Two Tailed Significance (BC) (Group number 1 - Default model)

Total Effects (Group number 1 - Default model)

Total Effects - Lower Bounds (BC) (Group number 1 - Default model)

Total Effects - Upper Bounds (BC) (Group number 1 - Default model)

Total Effects - Two Tailed Significance (BC) (Group number 1 - Default model)

Standardized Total Effects (Group number 1 - Default model)

Standardized Total Effects - Lower Bounds (BC) (Group number 1 - Default model)

Standardized Total Effects - Upper Bounds (BC) (Group number 1 - Default model)

Standardized Total Effects - Two Tailed Significance (BC) (Group number 1 - Default model)

Direct Effects (Group number 1 - Default model)

Direct Effects - Lower Bounds (BC) (Group number 1 - Default model)

Direct Effects - Upper Bounds (BC) (Group number 1 - Default model)

Direct Effects - Two Tailed Significance (BC) (Group number 1 - Default model)

Standardized Direct Effects (Group number 1 - Default model)

Standardized Direct Effects - Lower Bounds (BC) (Group number 1 - Default model)

Standardized Direct Effects - Upper Bounds (BC) (Group number 1 - Default model)

Standardized Direct Effects - Two Tailed Significance (BC) (Group number 1 - Default model)

Indirect Effects (Group number 1 - Default model)

Indirect Effects - Lower Bounds (BC) (Group number 1 - Default model)

Indirect Effects - Upper Bounds (BC) (Group number 1 - Default model)

Indirect Effects - Two Tailed Significance (BC) (Group number 1 - Default model)

Standardized Indirect Effects (Group number 1 - Default model)

Standardized Indirect Effects - Lower Bounds (BC) (Group number 1 - Default model)

Standardized Indirect Effects - Upper Bounds (BC) (Group number 1 - Default model)

Standardized Indirect Effects - Two Tailed Significance (BC) (Group number 1 - Default model)

Minimization History (Default model)

Pairwise Parameter Comparisons (Default model)

Variance-covariance Matrix of Estimates (Default model)

Correlations of Estimates (Default model)

Critical Ratios for Differences between Parameters (Default model)

Bootstrap (Default model)

Summary of Bootstrap Iterations (Default model)

(Default model)

Bootstrap Distributions (Default model)

ML discrepancy (implied vs sample) (Default model)

ML discrepancy (implied vs pop) (Default model)

K-L overoptimism (unstabilized) (Default model)

K-L overoptimism (stabilized) (Default model)

Model Fit Summary

CMIN

RMR, GFI

Baseline Comparisons

Parsimony-Adjusted Measures

NCP

FMIN

RMSEA

AIC

ECVI

HOELTER

Execution time summary

Date: 2021年9月24日

Time: 13:30:01

spss24.918: 2021年9月24日 13:30

The model is recursive.

Sample size = 307

Observed, endogenous variables

Unobserved, endogenous variables

Unobserved, exogenous variables

e10

e11

e12

e13

e14

e15

e16

e17

e18

e19

Number of variables in your model:	35
Number of observed variables:	14
Number of unobserved variables:	21
Number of exogenous variables:	18
Number of endogenous variables:	17

Variable	min	max	skew	c.r.	kurtosis	c.r.
B4	1.000	5.000	-.274	-1.959	-.752	-2.688
B3	1.000	5.000	-.341	-2.439	-.703	-2.514
B2	1.000	5.000	.049	.349	-1.050	-3.756
B1	1.000	5.000	-.289	-2.069	-.833	-2.981
F4	1.000	5.000	.020	.146	-.727	-2.601
F3	1.000	5.000	-.178	-1.274	-.395	-1.413
F2	1.000	5.000	-.154	-1.099	-.905	-3.237
C5	1.000	5.000	-.188	-1.347	-.809	-2.895
C4	1.000	5.000	-.121	-.868	-.839	-3.000
C3	1.000	5.000	-.226	-1.619	-.771	-2.756
C2	1.000	5.000	-.199	-1.422	-.898	-3.210
A5	1.000	5.000	.350	2.505	-1.102	-3.942
A3	1.000	5.000	-.261	-1.865	-.456	-1.633
A2	1.000	5.000	.070	.502	-.757	-2.706
Multivariate					45.960	19.023

Observation number	Mahalanobis d-squared	p1	p2
149	75.520	.000	.000
204	42.960	.000	.000
78	42.763	.000	.000
165	38.341	.000	.000
189	35.244	.001	.000
256	34.596	.002	.000
65	34.008	.002	.000
238	32.967	.003	.000
276	32.670	.003	.000
213	32.419	.003	.000
155	32.285	.004	.000
192	32.236	.004	.000
92	32.186	.004	.000
123	29.861	.008	.000
248	29.652	.009	.000
172	29.557	.009	.000
197	29.253	.010	.000
141	29.192	.010	.000
209	28.666	.012	.000
268	28.434	.012	.000
223	28.404	.013	.000
129	27.971	.014	.000
25	27.441	.017	.000
174	26.950	.020	.000
29	26.913	.020	.000
21	26.823	.020	.000
73	26.700	.021	.000
119	25.807	.027	.000
157	25.315	.032	.000
212	24.957	.035	.000
45	24.419	.041	.000
44	24.160	.044	.000
8	23.713	.050	.000
140	23.528	.052	.000
199	23.515	.052	.000
166	23.409	.054	.000
42	23.354	.055	.000
37	23.329	.055	.000
19	23.109	.059	.000
214	22.858	.063	.000
126	22.857	.063	.000
179	22.837	.063	.000
39	22.755	.064	.000
50	22.727	.065	.000
66	22.673	.066	.000
41	22.515	.069	.000
35	22.271	.073	.000
216	22.161	.075	.000
104	21.917	.080	.000
7	21.835	.082	.000
227	21.783	.083	.000
307	21.496	.090	.000
139	21.381	.092	.000
228	21.183	.097	.000
161	21.139	.098	.000
93	21.102	.099	.000
28	20.672	.110	.000
138	20.646	.111	.000
143	20.631	.111	.000
63	20.516	.115	.000
97	20.411	.118	.000
254	20.201	.124	.000
120	20.139	.126	.000
11	19.909	.133	.000
207	19.792	.137	.000
54	19.461	.148	.001
117	19.449	.148	.001
205	19.251	.156	.001
231	19.245	.156	.001
286	18.913	.168	.004
169	18.772	.174	.006
109	18.742	.175	.005
142	18.690	.177	.004
49	18.514	.184	.008
259	18.401	.189	.010
233	18.242	.196	.016
265	18.121	.201	.020
292	18.114	.202	.015
20	17.897	.212	.031
219	17.820	.215	.033
293	17.807	.216	.026
163	17.628	.224	.044
285	17.509	.230	.056
88	17.413	.235	.064
194	17.232	.244	.103
5	17.152	.248	.110
137	17.041	.254	.133
162	17.036	.254	.109
86	16.976	.257	.109
56	16.771	.269	.182
187	16.725	.271	.175
147	16.719	.271	.148
280	16.672	.274	.143
13	16.631	.276	.135
101	16.524	.282	.161
53	16.407	.289	.198
234	16.354	.292	.196
181	16.196	.302	.269
258	16.135	.305	.274
272	16.127	.306	.241

	B4	B3	B2	B1	F4	F3	F2	C5	C4	C3	C2	A5	A3	A2
B4	1.233
B3	.810	1.360
B2	.665	.795	1.547
B1	.643	.714	1.042	1.413
F4	.210	.269	.393	.289	1.300
F3	.035	.081	.073	.035	.699	1.059
F2	.223	.265	.305	.271	1.067	.703	1.396
C5	.105	.203	.285	.291	.930	.601	.913	1.380
C4	.090	.126	.179	.158	.979	.590	1.000	1.103	1.389
C3	.112	.216	.295	.322	.929	.590	.987	1.093	1.133	1.409
C2	.106	.228	.218	.256	.922	.541	.930	1.071	1.021	1.040	1.392
A5	.020	-.022	.026	.009	.444	.489	.452	.510	.451	.471	.521	1.829
A3	.079	.020	.078	.104	.287	.279	.325	.294	.256	.348	.384	.654	1.114
A2	.073	-.009	.019	.047	.262	.276	.233	.241	.257	.256	.246	.930	.566	1.297

Condition number = 34.934

Eigenvalues

7.712 3.550 2.331 .935 .781 .736 .593 .494 .463 .411 .372 .274 .245 .221

Determinant of sample covariance matrix = .011

	B4	B3	B2	B1	F4	F3	F2	C5	C4	C3	C2	A5	A3	A2
B4	1.000
B3	.626	1.000
B2	.481	.548	1.000
B1	.487	.515	.705	1.000
F4	.166	.203	.277	.213	1.000
F3	.031	.067	.057	.029	.596	1.000
F2	.170	.192	.207	.193	.792	.578	1.000
C5	.081	.148	.195	.208	.694	.497	.657	1.000
C4	.069	.091	.122	.113	.728	.486	.718	.797	1.000
C3	.085	.156	.200	.229	.687	.483	.704	.784	.810	1.000
C2	.081	.166	.148	.183	.685	.446	.667	.772	.734	.742	1.000
A5	.013	-.014	.015	.006	.288	.352	.283	.321	.283	.294	.327	1.000
A3	.067	.016	.060	.083	.239	.257	.261	.237	.206	.278	.309	.458	1.000
A2	.058	-.006	.014	.035	.202	.236	.173	.180	.192	.189	.183	.604	.471	1.000

Condition number = 35.278

Eigenvalues

5.650 2.537 1.644 .729 .615 .582 .426 .365 .354 .291 .268 .200 .179 .160

Number of distinct sample moments:	105
Number of distinct parameters to be estimated:	32
Degrees of freedom (105 - 32):	73

Minimum was achieved

Chi-square = 166.334

Degrees of freedom = 73

Probability level = .000

			Estimate	S.E.	C.R.	P	Label
C	<---	A	.451	.084	5.363	***	x1
F	<---	A	.070	.056	1.264	.206	x2
F	<---	C	.895	.059	15.216	***	x3
B	<---	F	.258	.059	4.366	***	x4
A2	<---	A	1.000
A3	<---	A	.751	.082	9.138	***	par_5
A5	<---	A	1.275	.128	9.942	***	par_6
C2	<---	C	1.000
C3	<---	C	1.060	.052	20.281	***	par_7
C4	<---	C	1.065	.052	20.573	***	par_8
C5	<---	C	1.048	.051	20.435	***	par_9
F2	<---	F	1.000
F3	<---	F	.641	.050	12.815	***	par_10
F4	<---	F	.989	.046	21.282	***	par_11
B1	<---	B	1.000
B2	<---	B	1.072	.072	14.795	***	par_12
B3	<---	B	.860	.077	11.190	***	par_13
B4	<---	B	.760	.073	10.393	***	par_14

			Estimate
C	<---	A	.385
F	<---	A	.057
F	<---	C	.855
B	<---	F	.281
A2	<---	A	.746
A3	<---	A	.605
A5	<---	A	.801
C2	<---	C	.843
C3	<---	C	.889
C4	<---	C	.899
C5	<---	C	.887
F2	<---	F	.882
F3	<---	F	.649
F4	<---	F	.904
B1	<---	B	.803
B2	<---	B	.822
B3	<---	B	.704
B4	<---	B	.653

	Estimate	S.E.	C.R.	P	Label
A	.722	.112	6.446	***	par_15
e17	.843	.097	8.716	***	par_16
e18	.248	.038	6.552	***	par_17
e19	.838	.109	7.685	***	par_18
e2	.575	.077	7.502	***	par_19
e3	.707	.070	10.167	***	par_20
e5	.655	.113	5.778	***	par_21
e6	.403	.039	10.397	***	par_22
e7	.296	.031	9.439	***	par_23
e8	.267	.029	9.047	***	par_24
e9	.294	.031	9.437	***	par_25
e10	.311	.039	8.058	***	par_26
e11	.613	.053	11.550	***	par_27
e12	.238	.034	6.960	***	par_28
e13	.503	.063	8.029	***	par_29
e14	.501	.069	7.316	***	par_30
e15	.687	.073	9.442	***	par_31
e16	.707	.070	10.091	***	par_32

			Estimate
C			.148
F			.772
B			.079
B4			.426
B3			.495
B2			.676
B1			.644
F4			.817
F3			.421
F2			.778
C5			.787
C4			.808
C3			.790
C2			.711
A5			.642
A3			.365
A2			.557

stdx1			.385
stdx2			.057
stdx3			.855
stdx4			.281
stdx5			.000
indA1			.104
indA2			.018
indC1			.231
stdIndA1			.093
stdIndA2			.016
stdIndC1			.240

	A	C	F	B	B4	B3	B2	B1	F4	F3	F2	C5	C4	C3	C2	A5	A3	A2
A	.722
C	.326	.990
F	.342	.909	1.085
B	.088	.234	.280	.910
B4	.067	.178	.213	.692	1.233
B3	.076	.201	.241	.783	.595	1.360
B2	.095	.251	.300	.976	.742	.839	1.547
B1	.088	.234	.280	.910	.692	.783	.976	1.413
F4	.339	.899	1.073	.277	.210	.238	.296	.277	1.300
F3	.219	.583	.696	.179	.136	.154	.192	.179	.688	1.059
F2	.342	.909	1.085	.280	.213	.241	.300	.280	1.073	.696	1.396
C5	.341	1.037	.952	.245	.186	.211	.263	.245	.942	.611	.952	1.380
C4	.347	1.054	.968	.249	.190	.215	.267	.249	.957	.621	.968	1.105	1.389
C3	.345	1.049	.964	.248	.189	.214	.266	.248	.953	.618	.964	1.100	1.118	1.409
C2	.326	.990	.909	.234	.178	.201	.251	.234	.899	.583	.909	1.037	1.054	1.049	1.392
A5	.921	.415	.436	.112	.085	.097	.121	.112	.432	.280	.436	.435	.442	.440	.415	1.829
A3	.542	.245	.257	.066	.050	.057	.071	.066	.254	.165	.257	.256	.260	.259	.245	.691	1.114
A2	.722	.326	.342	.088	.067	.076	.095	.088	.339	.219	.342	.341	.347	.345	.326	.921	.542	1.297

	A	C	F	B	B4	B3	B2	B1	F4	F3	F2	C5	C4	C3	C2	A5	A3	A2
A	1.000
C	.385	1.000
F	.387	.877	1.000
B	.109	.247	.281	1.000
B4	.071	.161	.184	.653	1.000
B3	.077	.174	.198	.704	.460	1.000
B2	.089	.203	.231	.822	.537	.579	1.000
B1	.087	.198	.226	.803	.524	.565	.660	1.000
F4	.349	.793	.904	.254	.166	.179	.209	.204	1.000
F3	.251	.569	.649	.183	.119	.129	.150	.147	.587	1.000
F2	.341	.773	.882	.248	.162	.175	.204	.199	.797	.572	1.000
C5	.342	.887	.778	.219	.143	.154	.180	.176	.703	.505	.686	1.000
C4	.346	.899	.788	.222	.145	.156	.182	.178	.713	.512	.695	.798	1.000
C3	.342	.889	.779	.219	.143	.154	.180	.176	.704	.506	.687	.788	.799	1.000
C2	.325	.843	.739	.208	.136	.146	.171	.167	.668	.480	.652	.748	.758	.749	1.000
A5	.801	.309	.310	.087	.057	.061	.072	.070	.280	.201	.273	.274	.277	.274	.260	1.000
A3	.605	.233	.234	.066	.043	.046	.054	.053	.211	.152	.206	.207	.209	.207	.196	.484	1.000
A2	.746	.287	.288	.081	.053	.057	.067	.065	.261	.187	.254	.255	.258	.255	.242	.598	.451	1.000

	B4	B3	B2	B1	F4	F3	F2	C5	C4	C3	C2	A5	A3	A2
B4	1.233
B3	.595	1.360
B2	.742	.839	1.547
B1	.692	.783	.976	1.413
F4	.210	.238	.296	.277	1.300
F3	.136	.154	.192	.179	.688	1.059
F2	.213	.241	.300	.280	1.073	.696	1.396
C5	.186	.211	.263	.245	.942	.611	.952	1.380
C4	.190	.215	.267	.249	.957	.621	.968	1.105	1.389
C3	.189	.214	.266	.248	.953	.618	.964	1.100	1.118	1.409
C2	.178	.201	.251	.234	.899	.583	.909	1.037	1.054	1.049	1.392
A5	.085	.097	.121	.112	.432	.280	.436	.435	.442	.440	.415	1.829
A3	.050	.057	.071	.066	.254	.165	.257	.256	.260	.259	.245	.691	1.114
A2	.067	.076	.095	.088	.339	.219	.342	.341	.347	.345	.326	.921	.542	1.297

	B4	B3	B2	B1	F4	F3	F2	C5	C4	C3	C2	A5	A3	A2
B4	1.000
B3	.460	1.000
B2	.537	.579	1.000
B1	.524	.565	.660	1.000
F4	.166	.179	.209	.204	1.000
F3	.119	.129	.150	.147	.587	1.000
F2	.162	.175	.204	.199	.797	.572	1.000
C5	.143	.154	.180	.176	.703	.505	.686	1.000
C4	.145	.156	.182	.178	.713	.512	.695	.798	1.000
C3	.143	.154	.180	.176	.704	.506	.687	.788	.799	1.000
C2	.136	.146	.171	.167	.668	.480	.652	.748	.758	.749	1.000
A5	.057	.061	.072	.070	.280	.201	.273	.274	.277	.274	.260	1.000
A3	.043	.046	.054	.053	.211	.152	.206	.207	.209	.207	.196	.484	1.000
A2	.053	.057	.067	.065	.261	.187	.254	.255	.258	.255	.242	.598	.451	1.000

	B4	B3	B2	B1	F4	F3	F2	C5	C4	C3	C2	A5	A3	A2
B4	.000
B3	.215	.000
B2	-.077	-.045	.000
B1	-.049	-.069	.067	.000
F4	.000	.031	.097	.012	.000
F3	-.101	-.073	-.119	-.144	.011	.000
F2	.010	.024	.005	-.009	-.007	.007	.000
C5	-.081	-.008	.022	.045	-.012	-.009	-.040	.000
C4	-.099	-.089	-.089	-.092	.021	-.031	.032	-.001	.000
C3	-.077	.002	.029	.074	-.024	-.027	.024	-.007	.015	.000
C2	-.072	.027	-.033	.022	.023	-.041	.021	.034	-.033	-.010	.000
A5	-.065	-.118	-.094	-.103	.012	.209	.016	.075	.009	.031	.106	.000
A3	.028	-.037	.007	.038	.033	.114	.068	.038	-.004	.089	.140	-.037	.000
A2	.006	-.084	-.075	-.041	-.076	.057	-.109	-.100	-.090	-.090	-.080	.010	.024	.000

	B4	B3	B2	B1	F4	F3	F2	C5	C4	C3	C2	A5	A3	A2
B4	.000
B3	2.641	.000
B2	-.857	-.466	.000
B1	-.575	-.758	.657	.000
F4	.002	.406	1.170	.156	.000
F3	-1.540	-1.061	-1.604	-2.043	.143	.000
F2	.132	.302	.060	-.109	-.069	.086	.000
C5	-1.076	-.100	.257	.558	-.129	-.122	-.412	.000
C4	-1.312	-1.118	-1.041	-1.127	.227	-.397	.332	-.013	.000
C3	-1.006	.028	.337	.907	-.255	-.349	.244	-.065	.150	.000
C2	-.956	.335	-.390	.274	.249	-.535	.220	.341	-.334	-.095	.000
A5	-.759	-1.310	-.980	-1.121	.135	2.581	.164	.797	.091	.327	1.122	.000
A3	.420	-.523	.096	.525	.469	1.817	.939	.525	-.056	1.215	1.927	-.409	.000
A2	.088	-1.109	-.928	-.525	-.992	.836	-1.376	-1.272	-1.131	-1.126	-1.007	.093	.318	.000

	B4	B3	B2	B1	F4	F3	F2	C5	C4	C3	C2	A5	A3	A2
A	.000	.000	.000	.000	.019	.005	.014	.011	.012	.011	.008	.293	.160	.262
C	.001	.001	.002	.001	.071	.018	.055	.203	.227	.203	.141	.006	.003	.005
F	.004	.005	.008	.007	.365	.092	.283	.061	.068	.061	.042	.009	.005	.008
B	.146	.170	.291	.270	.015	.004	.012	.003	.003	.003	.002	.000	.000	.000

	A	C	F	B
C	.451	.000	.000	.000
F	.474	.895	.000	.000
B	.122	.231	.258	.000
B4	.093	.175	.196	.760
B3	.105	.198	.222	.860
B2	.131	.247	.276	1.072
B1	.122	.231	.258	1.000
F4	.469	.885	.989	.000
F3	.304	.574	.641	.000
F2	.474	.895	1.000	.000
C5	.473	1.048	.000	.000
C4	.480	1.065	.000	.000
C3	.478	1.060	.000	.000
C2	.451	1.000	.000	.000
A5	1.275	.000	.000	.000
A3	.751	.000	.000	.000
A2	1.000	.000	.000	.000

	A	C	F	B
C	.385	.000	.000	.000
F	.387	.855	.000	.000
B	.109	.240	.281	.000
B4	.071	.157	.184	.653
B3	.077	.169	.198	.704
B2	.089	.198	.231	.822
B1	.087	.193	.226	.803
F4	.349	.773	.904	.000
F3	.251	.555	.649	.000
F2	.341	.754	.882	.000
C5	.342	.887	.000	.000
C4	.346	.899	.000	.000
C3	.342	.889	.000	.000
C2	.325	.843	.000	.000
A5	.801	.000	.000	.000
A3	.605	.000	.000	.000
A2	.746	.000	.000	.000

	A	C	F	B
C	.451	.000	.000	.000
F	.070	.895	.000	.000
B	.000	.000	.258	.000
B4	.000	.000	.000	.760
B3	.000	.000	.000	.860
B2	.000	.000	.000	1.072
B1	.000	.000	.000	1.000
F4	.000	.000	.989	.000
F3	.000	.000	.641	.000
F2	.000	.000	1.000	.000
C5	.000	1.048	.000	.000
C4	.000	1.065	.000	.000
C3	.000	1.060	.000	.000
C2	.000	1.000	.000	.000
A5	1.275	.000	.000	.000
A3	.751	.000	.000	.000
A2	1.000	.000	.000	.000

	A	C	F	B
C	.385	.000	.000	.000
F	.057	.855	.000	.000
B	.000	.000	.281	.000
B4	.000	.000	.000	.653
B3	.000	.000	.000	.704
B2	.000	.000	.000	.822
B1	.000	.000	.000	.803
F4	.000	.000	.904	.000
F3	.000	.000	.649	.000
F2	.000	.000	.882	.000
C5	.000	.887	.000	.000
C4	.000	.899	.000	.000
C3	.000	.889	.000	.000
C2	.000	.843	.000	.000
A5	.801	.000	.000	.000
A3	.605	.000	.000	.000
A2	.746	.000	.000	.000

	A	C	F	B
C	.000	.000	.000	.000
F	.404	.000	.000	.000
B	.122	.231	.000	.000
B4	.093	.175	.196	.000
B3	.105	.198	.222	.000
B2	.131	.247	.276	.000
B1	.122	.231	.258	.000
F4	.469	.885	.000	.000
F3	.304	.574	.000	.000
F2	.474	.895	.000	.000
C5	.473	.000	.000	.000
C4	.480	.000	.000	.000
C3	.478	.000	.000	.000
C2	.451	.000	.000	.000
A5	.000	.000	.000	.000
A3	.000	.000	.000	.000
A2	.000	.000	.000	.000

	A	C	F	B
C	.000	.000	.000	.000
F	.329	.000	.000	.000
B	.109	.240	.000	.000
B4	.071	.157	.184	.000
B3	.077	.169	.198	.000
B2	.089	.198	.231	.000
B1	.087	.193	.226	.000
F4	.349	.773	.000	.000
F3	.251	.555	.000	.000
F2	.341	.754	.000	.000
C5	.342	.000	.000	.000
C4	.346	.000	.000	.000
C3	.342	.000	.000	.000
C2	.325	.000	.000	.000
A5	.000	.000	.000	.000
A3	.000	.000	.000	.000
A2	.000	.000	.000	.000

			M.I.	Par Change
e15	<-->	e16	37.653	.278
e14	<-->	e16	7.868	-.119
e13	<-->	e18	4.113	-.063
e13	<-->	e15	6.364	-.104
e13	<-->	e14	9.153	.113
e12	<-->	e14	8.193	.085
e11	<-->	A	8.106	.125
e11	<-->	e19	7.696	-.128
e9	<-->	e10	5.693	-.055
e8	<-->	e19	9.698	-.106
e8	<-->	e13	4.084	-.057
e7	<-->	e13	5.034	.065
e6	<-->	e9	4.184	.048
e6	<-->	e8	4.634	-.049
e5	<-->	e11	5.689	.112
e3	<-->	e8	4.778	-.066
e3	<-->	e6	5.557	.083
e2	<-->	e17	6.111	-.120

			M.I.	Par Change

			M.I.	Par Change
B4	<---	B3	16.570	.178
B3	<---	B4	19.611	.204
B2	<---	B4	4.239	-.090
F4	<---	B2	7.701	.078
F3	<---	A	8.106	.174
F3	<---	B	6.944	-.138
F3	<---	B2	5.943	-.090
F3	<---	B1	7.124	-.104
F3	<---	A5	9.985	.108
F3	<---	A2	4.543	.086
C4	<---	B	8.040	-.109
C4	<---	B3	5.640	-.069
C4	<---	B2	5.882	-.066
C4	<---	B1	9.791	-.089
C4	<---	A3	4.915	-.071
C3	<---	B1	4.609	.063
C2	<---	A3	6.036	.091
A5	<---	F3	5.731	.136
A3	<---	C2	4.685	.094
A2	<---	C	5.031	-.117
A2	<---	F	4.118	-.103
A2	<---	F2	4.798	-.094
A2	<---	C5	5.380	-.100
A2	<---	C3	4.095	-.086
A2	<---	C2	6.548	-.109

Parameter			SE	SE-SE	Mean	Bias	SE-Bias
C	<---	A	.094	.001	.451	.000	.001
F	<---	A	.057	.001	.070	.000	.001
F	<---	C	.064	.001	.896	.001	.001
B	<---	F	.061	.001	.255	-.003	.001
A2	<---	A	.000	.000	1.000	.000	.000
A3	<---	A	.084	.001	.750	.000	.001
A5	<---	A	.136	.001	1.284	.009	.002
C2	<---	C	.000	.000	1.000	.000	.000
C3	<---	C	.048	.000	1.062	.002	.001
C4	<---	C	.051	.001	1.066	.001	.001
C5	<---	C	.048	.000	1.050	.002	.001
F2	<---	F	.000	.000	1.000	.000	.000
F3	<---	F	.055	.001	.640	-.001	.001
F4	<---	F	.044	.000	.990	.001	.001
B1	<---	B	.000	.000	1.000	.000	.000
B2	<---	B	.063	.001	1.075	.002	.001
B3	<---	B	.108	.001	.876	.015	.002
B4	<---	B	.117	.001	.771	.010	.002

Parameter			SE	SE-SE	Mean	Bias	SE-Bias
C	<---	A	.065	.001	.382	-.004	.001
F	<---	A	.046	.000	.057	.000	.001
F	<---	C	.033	.000	.854	-.001	.000
B	<---	F	.063	.001	.279	-.002	.001
A2	<---	A	.050	.000	.746	.000	.001
A3	<---	A	.056	.001	.602	-.003	.001
A5	<---	A	.041	.000	.802	.001	.001
C2	<---	C	.026	.000	.843	.000	.000
C3	<---	C	.017	.000	.889	.000	.000
C4	<---	C	.022	.000	.899	.000	.000
C5	<---	C	.018	.000	.888	.000	.000
F2	<---	F	.023	.000	.882	.000	.000
F3	<---	F	.043	.000	.647	-.002	.001
F4	<---	F	.020	.000	.903	.000	.000
B1	<---	B	.042	.000	.798	-.005	.001
B2	<---	B	.041	.000	.818	-.004	.001
B3	<---	B	.053	.001	.708	.004	.001
B4	<---	B	.075	.001	.655	.002	.001

Parameter	SE	SE-SE	Mean	Bias	SE-Bias
A	.112	.001	.724	.002	.002
e17	.087	.001	.839	-.004	.001
e18	.045	.000	.245	-.003	.001
e19	.112	.001	.827	-.011	.002
e2	.096	.001	.568	-.007	.001
e3	.076	.001	.702	-.004	.001
e5	.118	.001	.645	-.011	.002
e6	.058	.001	.399	-.004	.001
e7	.040	.000	.294	-.002	.001
e8	.052	.001	.265	-.002	.001
e9	.040	.000	.290	-.004	.001
e10	.054	.001	.307	-.003	.001
e11	.059	.001	.608	-.005	.001
e12	.042	.000	.236	-.001	.001
e13	.094	.001	.510	.007	.001
e14	.096	.001	.506	.005	.001
e15	.101	.001	.671	-.015	.001
e16	.131	.001	.695	-.012	.002

Parameter	SE	SE-SE	Mean	Bias	SE-Bias
C	.049	.000	.150	.001	.001
F	.044	.000	.772	.001	.001
B	.035	.000	.082	.003	.000
B4	.098	.001	.434	.008	.001
B3	.075	.001	.504	.009	.001
B2	.066	.001	.671	-.005	.001
B1	.067	.001	.638	-.006	.001
F4	.036	.000	.817	.000	.001
F3	.056	.001	.421	-.001	.001
F2	.040	.000	.778	.001	.001
C5	.032	.000	.788	.001	.000
C4	.039	.000	.808	.000	.001
C3	.030	.000	.790	.000	.000
C2	.044	.000	.712	.001	.001
A5	.065	.001	.645	.003	.001
A3	.066	.001	.365	.000	.001
A2	.074	.001	.559	.003	.001

Parameter	SE	SE-SE	Mean	Bias	SE-Bias
stdx1	.065	.001	.382	-.004	.001
stdx2	.046	.000	.057	.000	.001
stdx3	.033	.000	.854	-.001	.000
stdx4	.063	.001	.279	-.002	.001
stdx5	.000	.000	.000	.000	.000
indA1	.032	.000	.103	-.001	.000
indA2	.015	.000	.018	.000	.000
indC1	.055	.001	.228	-.003	.001
stdIndA1	.026	.000	.091	-.002	.000
stdIndA2	.013	.000	.016	.000	.000
stdIndC1	.055	.001	.239	-.002	.001

	A	C	F	B	B4	B3	B2	B1	F4	F3	F2	C5	C4	C3	C2	A5	A3	A2
A	.112
C	.063	.098
F	.069	.079	.093
B	.026	.057	.067	.116
B4	.021	.046	.055	.082	.078
B3	.023	.051	.060	.076	.112	.088
B2	.028	.062	.073	.111	.082	.080	.086
B1	.026	.057	.067	.116	.082	.076	.111	.087
F4	.068	.081	.082	.067	.054	.060	.073	.067	.083
F3	.051	.065	.074	.043	.035	.039	.047	.043	.076	.075
F2	.069	.079	.093	.067	.055	.060	.073	.067	.082	.074	.082
C5	.065	.086	.079	.060	.048	.054	.065	.060	.080	.068	.079	.086
C4	.066	.084	.084	.060	.049	.054	.065	.060	.082	.070	.084	.086	.084
C3	.066	.085	.080	.060	.049	.054	.066	.060	.079	.068	.080	.085	.088	.089
C2	.063	.098	.079	.057	.046	.051	.062	.057	.081	.065	.079	.086	.084	.085	.083
A5	.088	.086	.090	.034	.027	.030	.037	.034	.090	.066	.090	.088	.088	.088	.086	.099
A3	.082	.058	.060	.021	.017	.019	.024	.021	.059	.043	.060	.060	.060	.060	.058	.081	.080
A2	.112	.063	.069	.026	.021	.023	.028	.026	.068	.051	.069	.065	.066	.066	.063	.088	.082	.082

	A	C	F	B	B4	B3	B2	B1	F4	F3	F2	C5	C4	C3	C2	A5	A3	A2
A	.000
C	.065	.000
F	.068	.025	.000
B	.031	.056	.063	.000
B4	.021	.041	.046	.075	.000
B3	.023	.042	.047	.053	.081	.000
B2	.026	.047	.054	.041	.051	.039	.000
B1	.025	.046	.052	.042	.054	.041	.058	.000
F4	.062	.027	.020	.058	.042	.043	.049	.048	.000
F3	.051	.042	.043	.041	.030	.031	.035	.034	.043	.000
F2	.061	.035	.023	.056	.041	.042	.048	.046	.024	.041	.000
C5	.058	.018	.028	.050	.037	.037	.042	.041	.029	.039	.034	.000
C4	.059	.022	.034	.051	.037	.038	.043	.041	.033	.041	.040	.027	.000
C3	.058	.017	.029	.050	.037	.037	.042	.041	.029	.039	.035	.024	.028	.000
C2	.057	.026	.032	.048	.035	.036	.041	.039	.033	.039	.037	.031	.031	.031	.000
A5	.041	.056	.058	.025	.017	.018	.021	.020	.053	.043	.052	.050	.050	.050	.049	.000
A3	.056	.049	.049	.021	.014	.015	.017	.017	.045	.036	.044	.044	.045	.044	.042	.042	.000
A2	.050	.048	.051	.023	.016	.017	.019	.019	.047	.038	.046	.044	.045	.044	.042	.043	.056	.000

	B4	B3	B2	B1	F4	F3	F2	C5	C4	C3	C2	A5	A3	A2
B4	.078
B3	.112	.088
B2	.082	.080	.086
B1	.082	.076	.111	.087
F4	.054	.060	.073	.067	.083
F3	.035	.039	.047	.043	.076	.075
F2	.055	.060	.073	.067	.082	.074	.082
C5	.048	.054	.065	.060	.080	.068	.079	.086
C4	.049	.054	.065	.060	.082	.070	.084	.086	.084
C3	.049	.054	.066	.060	.079	.068	.080	.085	.088	.089
C2	.046	.051	.062	.057	.081	.065	.079	.086	.084	.085	.083
A5	.027	.030	.037	.034	.090	.066	.090	.088	.088	.088	.086	.099
A3	.017	.019	.024	.021	.059	.043	.060	.060	.060	.060	.058	.081	.080
A2	.021	.023	.028	.026	.068	.051	.069	.065	.066	.066	.063	.088	.082	.082

	B4	B3	B2	B1	F4	F3	F2	C5	C4	C3	C2	A5	A3	A2
B4	.000
B3	.081	.000
B2	.051	.039	.000
B1	.054	.041	.058	.000
F4	.042	.043	.049	.048	.000
F3	.030	.031	.035	.034	.043	.000
F2	.041	.042	.048	.046	.024	.041	.000
C5	.037	.037	.042	.041	.029	.039	.034	.000
C4	.037	.038	.043	.041	.033	.041	.040	.027	.000
C3	.037	.037	.042	.041	.029	.039	.035	.024	.028	.000
C2	.035	.036	.041	.039	.033	.039	.037	.031	.031	.031	.000
A5	.017	.018	.021	.020	.053	.043	.052	.050	.050	.050	.049	.000
A3	.014	.015	.017	.017	.045	.036	.044	.044	.045	.044	.042	.042	.000
A2	.016	.017	.019	.019	.047	.038	.046	.044	.045	.044	.042	.043	.056	.000

	B4	B3	B2	B1	F4	F3	F2	C5	C4	C3	C2	A5	A3	A2
B4	.078
B3	.081	.088
B2	.087	.087	.086
B1	.084	.084	.086	.087
F4	.079	.080	.085	.080	.083
F3	.073	.074	.081	.076	.077	.075
F2	.079	.080	.086	.082	.083	.075	.082
C5	.079	.082	.088	.086	.084	.077	.085	.086
C4	.081	.083	.089	.088	.081	.077	.083	.088	.084
C3	.079	.086	.090	.090	.081	.074	.084	.086	.089	.089
C2	.081	.081	.089	.086	.083	.075	.085	.086	.088	.087	.083
A5	.089	.088	.098	.095	.095	.081	.098	.094	.096	.092	.097	.099
A3	.073	.071	.081	.074	.071	.065	.074	.076	.077	.077	.077	.084	.080
A2	.077	.075	.086	.080	.080	.075	.081	.080	.082	.082	.081	.087	.079	.082

	B4	B3	B2	B1	F4	F3	F2	C5	C4	C3	C2	A5	A3	A2
B4	.000
B3	.050	.000
B2	.056	.046	.000
B1	.056	.050	.033	.000
F4	.062	.058	.057	.058	.000
F3	.064	.062	.063	.062	.044	.000
F2	.059	.056	.058	.057	.026	.042	.000
C5	.061	.059	.058	.060	.035	.049	.043	.000
C4	.062	.060	.060	.063	.029	.049	.034	.031	.000
C3	.060	.061	.060	.062	.033	.048	.040	.026	.030	.000
C2	.062	.058	.059	.060	.036	.050	.043	.031	.039	.035	.000
A5	.059	.056	.059	.059	.056	.051	.057	.053	.056	.052	.054	.000
A3	.063	.058	.062	.059	.055	.056	.056	.058	.060	.056	.057	.045	.000
A2	.060	.057	.061	.059	.058	.060	.058	.058	.059	.058	.058	.042	.053	.000

	B4	B3	B2	B1	F4	F3	F2	C5	C4	C3	C2	A5	A3	A2
A	.000	.000	.000	.000	.011	.003	.009	.005	.006	.005	.004	.045	.035	.071
C	.000	.000	.001	.000	.013	.004	.015	.029	.036	.026	.027	.003	.002	.003
F	.002	.002	.003	.002	.059	.016	.055	.012	.018	.013	.009	.005	.003	.005
B	.044	.036	.060	.061	.005	.001	.004	.001	.001	.001	.001	.000	.000	.000

	A	C	F	B
C	.094	.000	.000	.000
F	.097	.064	.000	.000
B	.037	.055	.061	.000
B4	.030	.046	.050	.117
B3	.033	.050	.055	.108
B2	.041	.060	.066	.063
B1	.037	.055	.061	.000
F4	.096	.056	.044	.000
F3	.070	.056	.055	.000
F2	.097	.064	.000	.000
C5	.097	.048	.000	.000
C4	.097	.051	.000	.000
C3	.097	.048	.000	.000
C2	.094	.000	.000	.000
A5	.136	.000	.000	.000
A3	.084	.000	.000	.000
A2	.000	.000	.000	.000

	A	C	F	B
C	.065	.000	.000	.000
F	.068	.033	.000	.000
B	.031	.055	.063	.000
B4	.021	.040	.046	.075
B3	.023	.041	.047	.053
B2	.026	.046	.054	.041
B1	.025	.045	.052	.042
F4	.062	.033	.020	.000
F3	.051	.041	.043	.000
F2	.061	.040	.023	.000
C5	.058	.018	.000	.000
C4	.059	.022	.000	.000
C3	.058	.017	.000	.000
C2	.057	.026	.000	.000
A5	.041	.000	.000	.000
A3	.056	.000	.000	.000
A2	.050	.000	.000	.000

	A	C	F	B
C	.094	.000	.000	.000
F	.057	.064	.000	.000
B	.000	.000	.061	.000
B4	.000	.000	.000	.117
B3	.000	.000	.000	.108
B2	.000	.000	.000	.063
B1	.000	.000	.000	.000
F4	.000	.000	.044	.000
F3	.000	.000	.055	.000
F2	.000	.000	.000	.000
C5	.000	.048	.000	.000
C4	.000	.051	.000	.000
C3	.000	.048	.000	.000
C2	.000	.000	.000	.000
A5	.136	.000	.000	.000
A3	.084	.000	.000	.000
A2	.000	.000	.000	.000

	A	C	F	B
C	.065	.000	.000	.000
F	.046	.033	.000	.000
B	.000	.000	.063	.000
B4	.000	.000	.000	.075
B3	.000	.000	.000	.053
B2	.000	.000	.000	.041
B1	.000	.000	.000	.042
F4	.000	.000	.020	.000
F3	.000	.000	.043	.000
F2	.000	.000	.023	.000
C5	.000	.018	.000	.000
C4	.000	.022	.000	.000
C3	.000	.017	.000	.000
C2	.000	.026	.000	.000
A5	.041	.000	.000	.000
A3	.056	.000	.000	.000
A2	.050	.000	.000	.000

	A	C	F	B
C	.000	.000	.000	.000
F	.083	.000	.000	.000
B	.037	.055	.000	.000
B4	.030	.046	.050	.000
B3	.033	.050	.055	.000
B2	.041	.060	.066	.000
B1	.037	.055	.061	.000
F4	.096	.056	.000	.000
F3	.070	.056	.000	.000
F2	.097	.064	.000	.000
C5	.097	.000	.000	.000
C4	.097	.000	.000	.000
C3	.097	.000	.000	.000
C2	.094	.000	.000	.000
A5	.000	.000	.000	.000
A3	.000	.000	.000	.000
A2	.000	.000	.000	.000

	A	C	F	B
C	.000	.000	.000	.000
F	.056	.000	.000	.000
B	.031	.055	.000	.000
B4	.021	.040	.046	.000
B3	.023	.041	.047	.000
B2	.026	.046	.054	.000
B1	.025	.045	.052	.000
F4	.062	.033	.000	.000
F3	.051	.041	.000	.000
F2	.061	.040	.000	.000
C5	.058	.000	.000	.000
C4	.059	.000	.000	.000
C3	.058	.000	.000	.000
C2	.057	.000	.000	.000
A5	.000	.000	.000	.000
A3	.000	.000	.000	.000
A2	.000	.000	.000	.000

Parameter			Estimate	Lower	Upper	P
C	<---	A	.451	.305	.608	.000
F	<---	A	.070	-.022	.163	.209
F	<---	C	.895	.793	1.001	.000
B	<---	F	.258	.155	.356	.000
A2	<---	A	1.000	1.000	1.000	...
A3	<---	A	.751	.616	.897	.000
A5	<---	A	1.275	1.085	1.531	.000
C2	<---	C	1.000	1.000	1.000	...
C3	<---	C	1.060	.988	1.144	.000
C4	<---	C	1.065	.986	1.153	.000
C5	<---	C	1.048	.975	1.132	.000
F2	<---	F	1.000	1.000	1.000	...
F3	<---	F	.641	.549	.731	.000
F4	<---	F	.989	.918	1.065	.000
B1	<---	B	1.000	1.000	1.000	...
B2	<---	B	1.072	.976	1.182	.000
B3	<---	B	.860	.716	1.075	.000
B4	<---	B	.760	.601	.988	.000

Parameter			Estimate	Lower	Upper	P
C	<---	A	.385	.273	.486	.000
F	<---	A	.057	-.018	.132	.209
F	<---	C	.855	.797	.905	.000
B	<---	F	.281	.172	.380	.000
A2	<---	A	.746	.661	.825	.000
A3	<---	A	.605	.507	.689	.000
A5	<---	A	.801	.736	.869	.000
C2	<---	C	.843	.797	.884	.000
C3	<---	C	.889	.859	.915	.000
C4	<---	C	.899	.861	.931	.000
C5	<---	C	.887	.856	.916	.000
F2	<---	F	.882	.843	.916	.000
F3	<---	F	.649	.574	.718	.000
F4	<---	F	.904	.870	.935	.000
B1	<---	B	.803	.722	.861	.000
B2	<---	B	.822	.743	.879	.000
B3	<---	B	.704	.619	.794	.000
B4	<---	B	.653	.532	.782	.000

Parameter	Estimate	Lower	Upper	P
A	.722	.539	.910	.000
e17	.843	.699	.984	.000
e18	.248	.173	.323	.000
e19	.838	.639	1.011	.000
e2	.575	.411	.728	.000
e3	.707	.579	.830	.000
e5	.655	.446	.834	.000
e6	.403	.305	.500	.000
e7	.296	.231	.363	.000
e8	.267	.185	.357	.000
e9	.294	.227	.355	.000
e10	.311	.223	.400	.000
e11	.613	.514	.707	.000
e12	.238	.168	.307	.000
e13	.503	.365	.673	.000
e14	.501	.359	.675	.000
e15	.687	.498	.834	.000
e16	.707	.465	.903	.000

Parameter	Estimate	Lower	Upper	P
C	.148	.075	.236	.000
F	.772	.697	.840	.000
B	.079	.030	.144	.000
B4	.426	.283	.611	.000
B3	.495	.383	.630	.000
B2	.676	.552	.772	.000
B1	.644	.521	.741	.000
F4	.817	.756	.873	.000
F3	.421	.329	.515	.000
F2	.778	.711	.840	.000
C5	.787	.733	.839	.000
C4	.808	.741	.867	.000
C3	.790	.738	.838	.000
C2	.711	.635	.782	.000
A5	.642	.541	.755	.000
A3	.365	.257	.475	.000
A2	.557	.437	.680	.000

Parameter	Estimate	Lower	Upper	P
stdx1	.385	.273	.486	.000
stdx2	.057	-.018	.132	.209
stdx3	.855	.797	.905	.000
stdx4	.281	.172	.380	.000
stdx5	.000	.000	.000	...
indA1	.104	.054	.160	.000
indA2	.018	-.006	.044	.209
indC1	.231	.137	.318	.000
stdIndA1	.093	.050	.135	.000
stdIndA2	.016	-.005	.039	.209
stdIndC1	.240	.145	.326	.000

	A	C	F	B	B4	B3	B2	B1	F4	F3	F2	C5	C4	C3	C2	A5	A3	A2
A	.539
C	.217	.826
F	.224	.774	.928
B	.046	.137	.165	.701
B4	.034	.101	.121	.549	1.103
B3	.039	.117	.138	.655	.425	1.214
B2	.049	.146	.177	.767	.599	.706	1.401
B1	.046	.137	.165	.701	.549	.655	.767	1.267
F4	.222	.763	.935	.162	.119	.136	.173	.162	1.155
F3	.137	.474	.573	.106	.077	.089	.113	.106	.562	.933
F2	.224	.774	.928	.165	.121	.138	.177	.165	.935	.573	1.258
C5	.232	.896	.821	.144	.106	.121	.153	.144	.809	.497	.821	1.238
C4	.235	.914	.828	.146	.107	.124	.157	.146	.818	.504	.828	.962	1.243
C3	.232	.908	.828	.146	.107	.123	.156	.146	.822	.504	.828	.959	.971	1.261
C2	.217	.826	.774	.137	.101	.117	.146	.137	.763	.474	.774	.896	.914	.908	1.250
A5	.769	.273	.284	.058	.043	.050	.062	.058	.280	.172	.284	.289	.294	.292	.273	1.659
A3	.406	.151	.158	.033	.024	.028	.035	.033	.156	.097	.158	.160	.162	.161	.151	.555	.980
A2	.539	.217	.224	.046	.034	.039	.049	.046	.222	.137	.224	.232	.235	.232	.217	.769	.406	1.155

	A	C	F	B	B4	B3	B2	B1	F4	F3	F2	C5	C4	C3	C2	A5	A3	A2
A	.910
C	.426	1.152
F	.453	1.035	1.235
B	.131	.326	.386	1.090
B4	.102	.254	.302	.822	1.360
B3	.115	.288	.341	.905	.798	1.500
B2	.142	.352	.415	1.142	.871	.968	1.683
B1	.131	.326	.386	1.090	.822	.905	1.142	1.557
F4	.447	1.029	1.206	.384	.300	.338	.414	.384	1.431
F3	.304	.687	.818	.249	.195	.218	.267	.249	.813	1.176
F2	.453	1.035	1.235	.386	.302	.341	.415	.386	1.206	.818	1.524
C5	.445	1.178	1.080	.342	.267	.301	.368	.342	1.073	.724	1.080	1.517
C4	.452	1.186	1.101	.345	.270	.305	.372	.345	1.089	.735	1.101	1.248	1.523
C3	.451	1.186	1.092	.344	.268	.303	.370	.344	1.078	.727	1.092	1.239	1.260	1.552
C2	.426	1.152	1.035	.326	.254	.288	.352	.326	1.029	.687	1.035	1.178	1.186	1.186	1.530
A5	1.060	.554	.581	.168	.130	.148	.182	.168	.577	.388	.581	.577	.585	.584	.554	1.983
A3	.674	.341	.358	.102	.080	.090	.111	.102	.351	.237	.358	.358	.361	.360	.341	.823	1.243
A2	.910	.426	.453	.131	.102	.115	.142	.131	.447	.304	.453	.445	.452	.451	.426	1.060	.674	1.427

	A	C	F	B	B4	B3	B2	B1	F4	F3	F2	C5	C4	C3	C2	A5	A3	A2
A	.000
C	.000	.000
F	.000	.000	.000
B	.000	.000	.000	.000
B4	.000	.000	.000	.000	.000
B3	.000	.000	.000	.000	.000	.000
B2	.000	.000	.000	.000	.000	.000	.000
B1	.000	.000	.000	.000	.000	.000	.000	.000
F4	.000	.000	.000	.000	.000	.000	.000	.000	.000
F3	.000	.000	.000	.000	.000	.000	.000	.000	.000	.000
F2	.000	.000	.000	.000	.000	.000	.000	.000	.000	.000	.000
C5	.000	.000	.000	.000	.000	.000	.000	.000	.000	.000	.000	.000
C4	.000	.000	.000	.000	.000	.000	.000	.000	.000	.000	.000	.000	.000
C3	.000	.000	.000	.000	.000	.000	.000	.000	.000	.000	.000	.000	.000	.000
C2	.000	.000	.000	.000	.000	.000	.000	.000	.000	.000	.000	.000	.000	.000	.000
A5	.000	.000	.000	.000	.000	.000	.000	.000	.000	.000	.000	.000	.000	.000	.000	.000
A3	.000	.000	.000	.000	.000	.000	.000	.000	.000	.000	.000	.000	.000	.000	.000	.000	.000
A2	.000	.000	.000	.000	.000	.000	.000	.000	.000	.000	.000	.000	.000	.000	.000	.000	.000	.000

	A	C	F	B	B4	B3	B2	B1	F4	F3	F2	C5	C4	C3	C2	A5	A3	A2
A	1.000
C	.273	1.000
F	.268	.832	1.000
B	.058	.151	.172	1.000
B4	.037	.092	.106	.532	1.000
B3	.040	.103	.117	.619	.342	1.000
B2	.047	.122	.140	.743	.444	.512	1.000
B1	.046	.119	.137	.722	.428	.494	.545	1.000
F4	.242	.745	.870	.154	.095	.105	.125	.122	1.000
F3	.166	.496	.574	.112	.068	.076	.091	.089	.513	1.000
F2	.235	.712	.843	.151	.093	.103	.122	.120	.755	.501	1.000
C5	.243	.856	.731	.133	.082	.091	.107	.105	.653	.438	.628	1.000
C4	.245	.861	.725	.135	.082	.092	.109	.107	.653	.440	.627	.752	1.000
C3	.242	.859	.730	.133	.082	.091	.108	.106	.655	.440	.626	.749	.751	1.000
C2	.227	.797	.685	.126	.077	.086	.102	.100	.612	.414	.590	.695	.704	.696	1.000
A5	.736	.213	.212	.047	.029	.032	.038	.037	.190	.131	.184	.189	.191	.188	.177	1.000
A3	.507	.152	.150	.034	.021	.023	.027	.026	.134	.093	.132	.134	.135	.133	.126	.411	1.000
A2	.661	.203	.199	.043	.027	.030	.035	.034	.180	.123	.174	.180	.181	.179	.168	.524	.355	1.000

	A	C	F	B	B4	B3	B2	B1	F4	F3	F2	C5	C4	C3	C2	A5	A3	A2
A	1.000
C	.486	1.000
F	.489	.915	1.000
B	.159	.334	.380	1.000
B4	.107	.228	.258	.782	1.000
B3	.115	.241	.276	.794	.611	1.000
B2	.132	.278	.316	.879	.614	.639	1.000
B1	.128	.270	.307	.861	.605	.629	.734	1.000
F4	.444	.833	.935	.345	.235	.251	.288	.279	1.000
F3	.333	.635	.718	.248	.170	.180	.206	.201	.654	1.000
F2	.435	.828	.916	.336	.228	.244	.279	.272	.835	.637	1.000
C5	.434	.916	.821	.297	.203	.216	.247	.240	.749	.568	.740	1.000
C4	.439	.931	.840	.302	.205	.218	.250	.244	.762	.577	.757	.841	1.000
C3	.434	.915	.823	.296	.203	.215	.247	.240	.750	.569	.744	.827	.842	1.000
C2	.414	.884	.789	.283	.193	.206	.235	.229	.720	.541	.710	.799	.806	.798	1.000
A5	.869	.397	.401	.128	.087	.092	.106	.103	.363	.270	.355	.353	.358	.354	.338	1.000
A3	.689	.314	.312	.101	.068	.072	.083	.081	.284	.211	.277	.279	.283	.280	.266	.550	1.000
A2	.825	.363	.368	.119	.080	.085	.098	.095	.332	.250	.327	.323	.329	.325	.309	.666	.539	1.000

	A	C	F	B	B4	B3	B2	B1	F4	F3	F2	C5	C4	C3	C2	A5	A3	A2
A	...
C	.000	...
F	.000	.000	...
B	.000	.000	.000	...
B4	.000	.000	.000	.000	...
B3	.000	.000	.000	.000	.000	...
B2	.000	.000	.000	.000	.000	.000	...
B1	.000	.000	.000	.000	.000	.000	.000	...
F4	.000	.000	.000	.000	.000	.000	.000	.000	...
F3	.000	.000	.000	.000	.000	.000	.000	.000	.000	...
F2	.000	.000	.000	.000	.000	.000	.000	.000	.000	.000	...
C5	.000	.000	.000	.000	.000	.000	.000	.000	.000	.000	.000	...
C4	.000	.000	.000	.000	.000	.000	.000	.000	.000	.000	.000	.000	...
C3	.000	.000	.000	.000	.000	.000	.000	.000	.000	.000	.000	.000	.000	...
C2	.000	.000	.000	.000	.000	.000	.000	.000	.000	.000	.000	.000	.000	.000	...
A5	.000	.000	.000	.000	.000	.000	.000	.000	.000	.000	.000	.000	.000	.000	.000	...
A3	.000	.000	.000	.000	.000	.000	.000	.000	.000	.000	.000	.000	.000	.000	.000	.000	...
A2	.000	.000	.000	.000	.000	.000	.000	.000	.000	.000	.000	.000	.000	.000	.000	.000	.000	...

	B4	B3	B2	B1	F4	F3	F2	C5	C4	C3	C2	A5	A3	A2
B4	1.103
B3	.425	1.214
B2	.599	.706	1.401
B1	.549	.655	.767	1.267
F4	.119	.136	.173	.162	1.155
F3	.077	.089	.113	.106	.562	.933
F2	.121	.138	.177	.165	.935	.573	1.258
C5	.106	.121	.153	.144	.809	.497	.821	1.238
C4	.107	.124	.157	.146	.818	.504	.828	.962	1.243
C3	.107	.123	.156	.146	.822	.504	.828	.959	.971	1.261
C2	.101	.117	.146	.137	.763	.474	.774	.896	.914	.908	1.250
A5	.043	.050	.062	.058	.280	.172	.284	.289	.294	.292	.273	1.659
A3	.024	.028	.035	.033	.156	.097	.158	.160	.162	.161	.151	.555	.980
A2	.034	.039	.049	.046	.222	.137	.224	.232	.235	.232	.217	.769	.406	1.155

	B4	B3	B2	B1	F4	F3	F2	C5	C4	C3	C2	A5	A3	A2
B4	1.360
B3	.798	1.500
B2	.871	.968	1.683
B1	.822	.905	1.142	1.557
F4	.300	.338	.414	.384	1.431
F3	.195	.218	.267	.249	.813	1.176
F2	.302	.341	.415	.386	1.206	.818	1.524
C5	.267	.301	.368	.342	1.073	.724	1.080	1.517
C4	.270	.305	.372	.345	1.089	.735	1.101	1.248	1.523
C3	.268	.303	.370	.344	1.078	.727	1.092	1.239	1.260	1.552
C2	.254	.288	.352	.326	1.029	.687	1.035	1.178	1.186	1.186	1.530
A5	.130	.148	.182	.168	.577	.388	.581	.577	.585	.584	.554	1.983
A3	.080	.090	.111	.102	.351	.237	.358	.358	.361	.360	.341	.823	1.243
A2	.102	.115	.142	.131	.447	.304	.453	.445	.452	.451	.426	1.060	.674	1.427

	B4	B3	B2	B1	F4	F3	F2	C5	C4	C3	C2	A5	A3	A2
B4	.000
B3	.000	.000
B2	.000	.000	.000
B1	.000	.000	.000	.000
F4	.000	.000	.000	.000	.000
F3	.000	.000	.000	.000	.000	.000
F2	.000	.000	.000	.000	.000	.000	.000
C5	.000	.000	.000	.000	.000	.000	.000	.000
C4	.000	.000	.000	.000	.000	.000	.000	.000	.000
C3	.000	.000	.000	.000	.000	.000	.000	.000	.000	.000
C2	.000	.000	.000	.000	.000	.000	.000	.000	.000	.000	.000
A5	.000	.000	.000	.000	.000	.000	.000	.000	.000	.000	.000	.000
A3	.000	.000	.000	.000	.000	.000	.000	.000	.000	.000	.000	.000	.000
A2	.000	.000	.000	.000	.000	.000	.000	.000	.000	.000	.000	.000	.000	.000

	B4	B3	B2	B1	F4	F3	F2	C5	C4	C3	C2	A5	A3	A2
B4	1.000
B3	.342	1.000
B2	.444	.512	1.000
B1	.428	.494	.545	1.000
F4	.095	.105	.125	.122	1.000
F3	.068	.076	.091	.089	.513	1.000
F2	.093	.103	.122	.120	.755	.501	1.000
C5	.082	.091	.107	.105	.653	.438	.628	1.000
C4	.082	.092	.109	.107	.653	.440	.627	.752	1.000
C3	.082	.091	.108	.106	.655	.440	.626	.749	.751	1.000
C2	.077	.086	.102	.100	.612	.414	.590	.695	.704	.696	1.000
A5	.029	.032	.038	.037	.190	.131	.184	.189	.191	.188	.177	1.000
A3	.021	.023	.027	.026	.134	.093	.132	.134	.135	.133	.126	.411	1.000
A2	.027	.030	.035	.034	.180	.123	.174	.180	.181	.179	.168	.524	.355	1.000

	B4	B3	B2	B1	F4	F3	F2	C5	C4	C3	C2	A5	A3	A2
B4	1.000
B3	.611	1.000
B2	.614	.639	1.000
B1	.605	.629	.734	1.000
F4	.235	.251	.288	.279	1.000
F3	.170	.180	.206	.201	.654	1.000
F2	.228	.244	.279	.272	.835	.637	1.000
C5	.203	.216	.247	.240	.749	.568	.740	1.000
C4	.205	.218	.250	.244	.762	.577	.757	.841	1.000
C3	.203	.215	.247	.240	.750	.569	.744	.827	.842	1.000
C2	.193	.206	.235	.229	.720	.541	.710	.799	.806	.798	1.000
A5	.087	.092	.106	.103	.363	.270	.355	.353	.358	.354	.338	1.000
A3	.068	.072	.083	.081	.284	.211	.277	.279	.283	.280	.266	.550	1.000
A2	.080	.085	.098	.095	.332	.250	.327	.323	.329	.325	.309	.666	.539	1.000

	B4	B3	B2	B1	F4	F3	F2	C5	C4	C3	C2	A5	A3	A2
B4	...
B3	.000	...
B2	.000	.000	...
B1	.000	.000	.000	...
F4	.000	.000	.000	.000	...
F3	.000	.000	.000	.000	.000	...
F2	.000	.000	.000	.000	.000	.000	...
C5	.000	.000	.000	.000	.000	.000	.000	...
C4	.000	.000	.000	.000	.000	.000	.000	.000	...
C3	.000	.000	.000	.000	.000	.000	.000	.000	.000	...
C2	.000	.000	.000	.000	.000	.000	.000	.000	.000	.000	...
A5	.000	.000	.000	.000	.000	.000	.000	.000	.000	.000	.000	...
A3	.000	.000	.000	.000	.000	.000	.000	.000	.000	.000	.000	.000	...
A2	.000	.000	.000	.000	.000	.000	.000	.000	.000	.000	.000	.000	.000	...

	B4	B3	B2	B1	F4	F3	F2	C5	C4	C3	C2	A5	A3	A2
B4	1.103
B3	.675	1.214
B2	.516	.650	1.401
B1	.500	.576	.901	1.267
F4	.074	.137	.250	.156	1.155
F3	-.089	-.041	-.062	-.091	.568	.933
F2	.091	.131	.156	.134	.927	.579	1.258
C5	-.026	.069	.139	.148	.793	.475	.770	1.238
C4	-.044	-.013	.030	.013	.844	.460	.863	.960	1.243
C3	-.020	.073	.141	.178	.793	.466	.845	.950	.985	1.261
C2	-.028	.095	.072	.116	.781	.418	.788	.928	.874	.894	1.250
A5	-.130	-.165	-.136	-.151	.285	.353	.285	.350	.293	.314	.360	1.659
A3	-.044	-.099	-.058	-.019	.170	.169	.201	.169	.130	.225	.258	.513	.980
A2	-.055	-.130	-.122	-.084	.127	.152	.096	.106	.120	.118	.114	.778	.434	1.155

	B4	B3	B2	B1	F4	F3	F2	C5	C4	C3	C2	A5	A3	A2
B4	1.360
B3	.940	1.500
B2	.806	.934	1.683
B1	.779	.852	1.186	1.557
F4	.338	.398	.527	.420	1.431
F3	.155	.201	.205	.158	.827	1.176
F2	.352	.394	.440	.405	1.200	.824	1.524
C5	.237	.339	.427	.432	1.068	.725	1.052	1.517
C4	.222	.263	.325	.302	1.108	.714	1.133	1.248	1.523
C3	.239	.357	.441	.472	1.059	.711	1.124	1.232	1.277	1.552
C2	.237	.359	.362	.397	1.054	.663	1.064	1.211	1.161	1.180	1.530
A5	.165	.128	.184	.164	.594	.620	.611	.662	.608	.619	.681	1.983
A3	.198	.133	.206	.223	.403	.387	.444	.416	.384	.473	.510	.791	1.243
A2	.197	.117	.160	.180	.392	.398	.365	.370	.390	.389	.380	1.067	.693	1.427

	B4	B3	B2	B1	F4	F3	F2	C5	C4	C3	C2	A5	A3	A2
B4	.000
B3	.000	.000
B2	.000	.000	.000
B1	.000	.000	.000	.000
F4	.012	.001	.000	.001	.000
F3	.625	.277	.379	.665	.000	.000
F2	.006	.001	.001	.001	.000	.000	.000
C5	.190	.015	.002	.001	.000	.000	.000	.000
C4	.269	.135	.049	.073	.000	.000	.000	.000	.000
C3	.165	.011	.003	.001	.000	.000	.000	.000	.000	.000
C2	.192	.006	.019	.002	.000	.000	.000	.000	.000	.000	.000
A5	.816	.804	.802	.936	.000	.000	.000	.000	.000	.000	.000	.000
A3	.292	.785	.351	.162	.000	.000	.000	.000	.000	.000	.000	.000	.000
A2	.352	.902	.817	.557	.001	.000	.004	.003	.001	.001	.002	.000	.000	.000

	B4	B3	B2	B1	F4	F3	F2	C5	C4	C3	C2	A5	A3	A2
B4	1.000
B3	.538	1.000
B2	.385	.470	1.000
B1	.390	.430	.648	1.000
F4	.060	.106	.180	.117	1.000
F3	-.080	-.036	-.048	-.075	.521	1.000
F2	.070	.096	.107	.097	.747	.507	1.000
C5	-.020	.051	.098	.107	.635	.413	.585	1.000
C4	-.034	-.009	.021	.009	.678	.403	.660	.744	1.000
C3	-.014	.054	.099	.128	.630	.402	.636	.740	.758	1.000
C2	-.021	.070	.050	.083	.624	.359	.595	.718	.666	.682	1.000
A5	-.086	-.106	-.082	-.092	.192	.261	.184	.229	.189	.204	.235	1.000
A3	-.038	-.081	-.044	-.015	.146	.161	.168	.139	.107	.186	.213	.380	1.000
A2	-.044	-.099	-.086	-.063	.102	.134	.074	.081	.092	.090	.087	.531	.380	1.000

	B4	B3	B2	B1	F4	F3	F2	C5	C4	C3	C2	A5	A3	A2
B4	1.000
B3	.707	1.000
B2	.571	.619	1.000
B1	.574	.595	.758	1.000
F4	.265	.294	.367	.306	1.000
F3	.136	.166	.162	.129	.665	1.000
F2	.266	.282	.298	.286	.832	.644	1.000
C5	.182	.242	.288	.307	.749	.575	.725	1.000
C4	.170	.190	.219	.214	.773	.562	.772	.845	1.000
C3	.183	.256	.296	.330	.738	.561	.766	.824	.855	1.000
C2	.181	.259	.243	.280	.742	.525	.735	.821	.793	.796	1.000
A5	.110	.081	.110	.102	.376	.433	.373	.406	.374	.377	.414	1.000
A3	.169	.108	.157	.178	.328	.345	.350	.329	.304	.369	.400	.530	1.000
A2	.153	.089	.112	.132	.295	.330	.265	.271	.284	.282	.278	.671	.554	1.000

	B4	B3	B2	B1	F4	F3	F2	C5	C4	C3	C2	A5	A3	A2
B4	...
B3	.000	...
B2	.000	.000	...
B1	.000	.000	.000	...
F4	.012	.001	.000	.001	...
F3	.625	.277	.379	.665	.000	...
F2	.006	.001	.001	.001	.000	.000	...
C5	.190	.015	.002	.001	.000	.000	.000	...
C4	.269	.135	.049	.073	.000	.000	.000	.000	...
C3	.165	.011	.003	.001	.000	.000	.000	.000	.000	...
C2	.192	.006	.019	.002	.000	.000	.000	.000	.000	.000	...
A5	.816	.804	.802	.936	.000	.000	.000	.000	.000	.000	.000	...
A3	.292	.785	.351	.162	.000	.000	.000	.000	.000	.000	.000	.000	...
A2	.352	.902	.817	.557	.001	.000	.004	.003	.001	.001	.002	.000	.000	...

	B4	B3	B2	B1	F4	F3	F2	C5	C4	C3	C2	A5	A3	A2
A	.000	.000	.000	.000	.002	.000	.001	.002	.002	.002	.001	.223	.100	.158
C	.000	.000	.001	.001	.050	.012	.034	.157	.173	.161	.102	.001	.001	.001
F	.002	.002	.004	.004	.276	.067	.200	.042	.042	.041	.029	.001	.000	.001
B	.090	.118	.183	.169	.008	.002	.006	.001	.001	.001	.001	.000	.000	.000

	B4	B3	B2	B1	F4	F3	F2	C5	C4	C3	C2	A5	A3	A2
A	.000	.001	.001	.001	.036	.010	.030	.020	.022	.020	.014	.371	.216	.390
C	.001	.001	.002	.002	.093	.025	.081	.253	.289	.248	.189	.012	.007	.010
F	.007	.008	.012	.011	.468	.118	.380	.081	.100	.082	.057	.018	.010	.016
B	.235	.236	.382	.372	.024	.006	.018	.004	.005	.004	.003	.001	.000	.001

	B4	B3	B2	B1	F4	F3	F2	C5	C4	C3	C2	A5	A3	A2
A	.072	.072	.072	.072	.072	.072	.072	.045	.045	.045	.045	.000	.000	.000
C	.000	.000	.000	.000	.000	.000	.000	.000	.000	.000	.000	.045	.045	.045
F	.000	.000	.000	.000	.000	.000	.000	.000	.000	.000	.000	.072	.072	.072
B	.000	.000	.000	.000	.000	.000	.000	.000	.000	.000	.000	.072	.072	.072

	A	C	F	B
C	.305	.000	.000	.000
F	.318	.793	.000	.000
B	.064	.137	.155	.000
B4	.047	.100	.113	.601
B3	.054	.116	.131	.716
B2	.069	.146	.165	.976
B1	.064	.137	.155	1.000
F4	.312	.796	.918	.000
F3	.194	.482	.549	.000
F2	.318	.793	1.000	.000
C5	.320	.975	.000	.000
C4	.327	.986	.000	.000
C3	.326	.988	.000	.000
C2	.305	1.000	.000	.000
A5	1.085	.000	.000	.000
A3	.616	.000	.000	.000
A2	1.000	.000	.000	.000

	A	C	F	B
C	.608	.000	.000	.000
F	.634	1.001	.000	.000
B	.186	.318	.356	.000
B4	.145	.252	.279	.988
B3	.164	.283	.315	1.075
B2	.203	.345	.385	1.182
B1	.186	.318	.356	1.000
F4	.628	.978	1.065	.000
F3	.422	.668	.731	.000
F2	.634	1.001	1.000	.000
C5	.636	1.132	.000	.000
C4	.643	1.153	.000	.000
C3	.641	1.144	.000	.000
C2	.608	1.000	.000	.000
A5	1.531	.000	.000	.000
A3	.897	.000	.000	.000
A2	1.000	.000	.000	.000

	A	C	F	B
C	.000	...	...	...
F	.000	.000	...	...
B	.000	.000	.000	...
B4	.000	.000	.000	.000
B3	.000	.000	.000	.000
B2	.000	.000	.000	.000
B1	.000	.000	.000	...
F4	.000	.000	.000	...
F3	.000	.000	.000	...
F2	.000	.000	...	...
C5	.000	.000	...	...
C4	.000	.000	...	...
C3	.000	.000	...	...
C2	.000	...	...	...
A5	.000	...	...	...
A3	.000	...	...	...
A2	...	...	...	...

	A	C	F	B
C	.273	.000	.000	.000
F	.268	.797	.000	.000
B	.058	.145	.172	.000
B4	.037	.090	.106	.532
B3	.040	.099	.117	.619
B2	.047	.118	.140	.743
B1	.046	.116	.137	.722
F4	.242	.716	.870	.000
F3	.166	.483	.574	.000
F2	.235	.684	.843	.000
C5	.243	.856	.000	.000
C4	.245	.861	.000	.000
C3	.242	.859	.000	.000
C2	.227	.797	.000	.000
A5	.736	.000	.000	.000
A3	.507	.000	.000	.000
A2	.661	.000	.000	.000

	A	C	F	B
C	.486	.000	.000	.000
F	.489	.905	.000	.000
B	.159	.326	.380	.000
B4	.107	.223	.258	.782
B3	.115	.236	.276	.794
B2	.132	.271	.316	.879
B1	.128	.263	.307	.861
F4	.444	.824	.935	.000
F3	.333	.619	.718	.000
F2	.435	.815	.916	.000
C5	.434	.916	.000	.000
C4	.439	.931	.000	.000
C3	.434	.915	.000	.000
C2	.414	.884	.000	.000
A5	.869	.000	.000	.000
A3	.689	.000	.000	.000
A2	.825	.000	.000	.000

	A	C	F	B
C	.000	...	...	...
F	.000	.000	...	...
B	.000	.000	.000	...
B4	.000	.000	.000	.000
B3	.000	.000	.000	.000
B2	.000	.000	.000	.000
B1	.000	.000	.000	.000
F4	.000	.000	.000	...
F3	.000	.000	.000	...
F2	.000	.000	.000	...
C5	.000	.000	...	...
C4	.000	.000	...	...
C3	.000	.000	...	...
C2	.000	.000	...	...
A5	.000	...	...	...
A3	.000	...	...	...
A2	.000	...	...	...

	A	C	F	B
C	.305	.000	.000	.000
F	-.022	.793	.000	.000
B	.000	.000	.155	.000
B4	.000	.000	.000	.601
B3	.000	.000	.000	.716
B2	.000	.000	.000	.976
B1	.000	.000	.000	1.000
F4	.000	.000	.918	.000
F3	.000	.000	.549	.000
F2	.000	.000	1.000	.000
C5	.000	.975	.000	.000
C4	.000	.986	.000	.000
C3	.000	.988	.000	.000
C2	.000	1.000	.000	.000
A5	1.085	.000	.000	.000
A3	.616	.000	.000	.000
A2	1.000	.000	.000	.000

	A	C	F	B
C	.608	.000	.000	.000
F	.163	1.001	.000	.000
B	.000	.000	.356	.000
B4	.000	.000	.000	.988
B3	.000	.000	.000	1.075
B2	.000	.000	.000	1.182
B1	.000	.000	.000	1.000
F4	.000	.000	1.065	.000
F3	.000	.000	.731	.000
F2	.000	.000	1.000	.000
C5	.000	1.132	.000	.000
C4	.000	1.153	.000	.000
C3	.000	1.144	.000	.000
C2	.000	1.000	.000	.000
A5	1.531	.000	.000	.000
A3	.897	.000	.000	.000
A2	1.000	.000	.000	.000

	A	C	F	B
C	.000	...	...	...
F	.209	.000	...	...
B	...	...	.000	...
B4	...	...	...	.000
B3	...	...	...	.000
B2	...	...	...	.000
B1	...	...	...	...
F4	...	...	.000	...
F3	...	...	.000	...
F2	...	...	...	...
C5	...	.000	...	...
C4	...	.000	...	...
C3	...	.000	...	...
C2	...	...	...	...
A5	.000	...	...	...
A3	.000	...	...	...
A2	...	...	...	...

	A	C	F	B
C	.273	.000	.000	.000
F	-.018	.797	.000	.000
B	.000	.000	.172	.000
B4	.000	.000	.000	.532
B3	.000	.000	.000	.619
B2	.000	.000	.000	.743
B1	.000	.000	.000	.722
F4	.000	.000	.870	.000
F3	.000	.000	.574	.000
F2	.000	.000	.843	.000
C5	.000	.856	.000	.000
C4	.000	.861	.000	.000
C3	.000	.859	.000	.000
C2	.000	.797	.000	.000
A5	.736	.000	.000	.000
A3	.507	.000	.000	.000
A2	.661	.000	.000	.000

	A	C	F	B
C	.486	.000	.000	.000
F	.132	.905	.000	.000
B	.000	.000	.380	.000
B4	.000	.000	.000	.782
B3	.000	.000	.000	.794
B2	.000	.000	.000	.879
B1	.000	.000	.000	.861
F4	.000	.000	.935	.000
F3	.000	.000	.718	.000
F2	.000	.000	.916	.000
C5	.000	.916	.000	.000
C4	.000	.931	.000	.000
C3	.000	.915	.000	.000
C2	.000	.884	.000	.000
A5	.869	.000	.000	.000
A3	.689	.000	.000	.000
A2	.825	.000	.000	.000

	A	C	F	B
C	.000	...	...	...
F	.209	.000	...	...
B	...	...	.000	...
B4	...	...	...	.000
B3	...	...	...	.000
B2	...	...	...	.000
B1	...	...	...	.000
F4	...	...	.000	...
F3	...	...	.000	...
F2	...	...	.000	...
C5	...	.000	...	...
C4	...	.000	...	...
C3	...	.000	...	...
C2	...	.000	...	...
A5	.000	...	...	...
A3	.000	...	...	...
A2	.000	...	...	...

	A	C	F	B
C	.000	.000	.000	.000
F	.272	.000	.000	.000
B	.064	.137	.000	.000
B4	.047	.100	.113	.000
B3	.054	.116	.131	.000
B2	.069	.146	.165	.000
B1	.064	.137	.155	.000
F4	.312	.796	.000	.000
F3	.194	.482	.000	.000
F2	.318	.793	.000	.000
C5	.320	.000	.000	.000
C4	.327	.000	.000	.000
C3	.326	.000	.000	.000
C2	.305	.000	.000	.000
A5	.000	.000	.000	.000
A3	.000	.000	.000	.000
A2	.000	.000	.000	.000

	A	C	F	B
C	.000	.000	.000	.000
F	.544	.000	.000	.000
B	.186	.318	.000	.000
B4	.145	.252	.279	.000
B3	.164	.283	.315	.000
B2	.203	.345	.385	.000
B1	.186	.318	.356	.000
F4	.628	.978	.000	.000
F3	.422	.668	.000	.000
F2	.634	1.001	.000	.000
C5	.636	.000	.000	.000
C4	.643	.000	.000	.000
C3	.641	.000	.000	.000
C2	.608	.000	.000	.000
A5	.000	.000	.000	.000
A3	.000	.000	.000	.000
A2	.000	.000	.000	.000

	A	C	F	B
C	...	...	...	...
F	.000	...	...	...
B	.000	.000	...	...
B4	.000	.000	.000	...
B3	.000	.000	.000	...
B2	.000	.000	.000	...
B1	.000	.000	.000	...
F4	.000	.000	...	...
F3	.000	.000	...	...
F2	.000	.000	...	...
C5	.000	...	...	...
C4	.000	...	...	...
C3	.000	...	...	...
C2	.000	...	...	...
A5	...	...	...	...
A3	...	...	...	...
A2	...	...	...	...

	A	C	F	B
C	.000	.000	.000	.000
F	.233	.000	.000	.000
B	.058	.145	.000	.000
B4	.037	.090	.106	.000
B3	.040	.099	.117	.000
B2	.047	.118	.140	.000
B1	.046	.116	.137	.000
F4	.242	.716	.000	.000
F3	.166	.483	.000	.000
F2	.235	.684	.000	.000
C5	.243	.000	.000	.000
C4	.245	.000	.000	.000
C3	.242	.000	.000	.000
C2	.227	.000	.000	.000
A5	.000	.000	.000	.000
A3	.000	.000	.000	.000
A2	.000	.000	.000	.000

	A	C	F	B
C	.000	.000	.000	.000
F	.416	.000	.000	.000
B	.159	.326	.000	.000
B4	.107	.223	.258	.000
B3	.115	.236	.276	.000
B2	.132	.271	.316	.000
B1	.128	.263	.307	.000
F4	.444	.824	.000	.000
F3	.333	.619	.000	.000
F2	.435	.815	.000	.000
C5	.434	.000	.000	.000
C4	.439	.000	.000	.000
C3	.434	.000	.000	.000
C2	.414	.000	.000	.000
A5	.000	.000	.000	.000
A3	.000	.000	.000	.000
A2	.000	.000	.000	.000

	A	C	F	B
C	...	...	...	...
F	.000	...	...	...
B	.000	.000	...	...
B4	.000	.000	.000	...
B3	.000	.000	.000	...
B2	.000	.000	.000	...
B1	.000	.000	.000	...
F4	.000	.000	...	...
F3	.000	.000	...	...
F2	.000	.000	...	...
C5	.000	...	...	...
C4	.000	...	...	...
C3	.000	...	...	...
C2	.000	...	...	...
A5	...	...	...	...
A3	...	...	...	...
A2	...	...	...	...

Parameter			Estimate	Lower	Upper	P
C	<---	A	.451	.310	.617	.000
F	<---	A	.070	-.021	.163	.204
F	<---	C	.895	.791	.999	.000
B	<---	F	.258	.161	.362	.000
A2	<---	A	1.000	1.000	1.000	...
A3	<---	A	.751	.621	.905	.000
A5	<---	A	1.275	1.090	1.538	.000
C2	<---	C	1.000	1.000	1.000	...
C3	<---	C	1.060	.988	1.144	.000
C4	<---	C	1.065	.988	1.155	.000
C5	<---	C	1.048	.973	1.131	.000
F2	<---	F	1.000	1.000	1.000	...
F3	<---	F	.641	.551	.733	.000
F4	<---	F	.989	.920	1.066	.000
B1	<---	B	1.000	1.000	1.000	...
B2	<---	B	1.072	.976	1.183	.000
B3	<---	B	.860	.703	1.057	.001
B4	<---	B	.760	.604	.998	.000

Parameter			Estimate	Lower	Upper	P
C	<---	A	.385	.278	.488	.000
F	<---	A	.057	-.020	.130	.221
F	<---	C	.855	.795	.904	.000
B	<---	F	.281	.172	.381	.000
A2	<---	A	.746	.655	.820	.001
A3	<---	A	.605	.505	.687	.000
A5	<---	A	.801	.733	.866	.001
C2	<---	C	.843	.793	.881	.001
C3	<---	C	.889	.857	.914	.001
C4	<---	C	.899	.856	.928	.001
C5	<---	C	.887	.853	.913	.001
F2	<---	F	.882	.840	.914	.001
F3	<---	F	.649	.576	.719	.000
F4	<---	F	.904	.869	.934	.000
B1	<---	B	.803	.724	.862	.000
B2	<---	B	.822	.744	.879	.000
B3	<---	B	.704	.605	.782	.001
B4	<---	B	.653	.529	.778	.000

Parameter	Estimate	Lower	Upper	P
A	.722	.533	.904	.000
e17	.843	.708	.996	.000
e18	.248	.183	.333	.000
e19	.838	.663	1.034	.000
e2	.575	.427	.743	.000
e3	.707	.592	.842	.000
e5	.655	.463	.848	.000
e6	.403	.314	.511	.000
e7	.296	.237	.371	.000
e8	.267	.194	.370	.000
e9	.294	.234	.365	.000
e10	.311	.233	.412	.000
e11	.613	.524	.720	.000
e12	.238	.171	.310	.000
e13	.503	.364	.670	.000
e14	.501	.362	.679	.000
e15	.687	.525	.857	.000
e16	.707	.482	.915	.000

Parameter	Estimate	Lower	Upper	P
C	.148	.077	.239	.000
F	.772	.690	.835	.001
B	.079	.030	.145	.000
B4	.426	.279	.606	.000
B3	.495	.365	.612	.001
B2	.676	.554	.773	.000
B1	.644	.524	.743	.000
F4	.817	.756	.873	.000
F3	.421	.331	.517	.000
F2	.778	.706	.836	.001
C5	.787	.728	.834	.001
C4	.808	.733	.862	.001
C3	.790	.734	.835	.001
C2	.711	.628	.777	.001
A5	.642	.537	.750	.001
A3	.365	.255	.472	.000
A2	.557	.430	.672	.001

Parameter	Estimate	Lower	Upper	P
stdx1	.385	.278	.488	.000
stdx2	.057	-.020	.130	.221
stdx3	.855	.795	.904	.000
stdx4	.281	.172	.381	.000
stdx5	.000	.000	.000	...
indA1	.104	.061	.171	.000
indA2	.018	-.004	.046	.166
indC1	.231	.143	.323	.000
stdIndA1	.093	.055	.142	.000
stdIndA2	.016	-.003	.041	.170
stdIndC1	.240	.148	.328	.000

	A	C	F	B	B4	B3	B2	B1	F4	F3	F2	C5	C4	C3	C2	A5	A3	A2
A	.533
C	.228	.827
F	.234	.784	.934
B	.052	.148	.176	.719
B4	.038	.106	.125	.560	1.115
B3	.043	.119	.141	.662	.421	1.219
B2	.055	.154	.185	.778	.613	.711	1.414
B1	.052	.148	.176	.719	.560	.662	.778	1.273
F4	.231	.773	.947	.170	.126	.140	.183	.170	1.166
F3	.144	.487	.583	.116	.084	.096	.122	.116	.574	.945
F2	.234	.784	.934	.176	.125	.141	.185	.176	.947	.583	1.272
C5	.243	.904	.829	.153	.110	.123	.162	.153	.817	.508	.829	1.246
C4	.247	.922	.837	.156	.112	.127	.165	.156	.828	.515	.837	.971	1.256
C3	.244	.915	.835	.155	.110	.125	.164	.155	.831	.517	.835	.968	.979	1.272
C2	.228	.827	.784	.148	.106	.119	.154	.148	.773	.487	.784	.904	.922	.915	1.260
A5	.776	.283	.295	.065	.049	.054	.071	.065	.288	.181	.295	.294	.300	.301	.283	1.681
A3	.413	.160	.168	.038	.028	.031	.040	.038	.165	.103	.168	.170	.171	.171	.160	.566	.990
A2	.533	.228	.234	.052	.038	.043	.055	.052	.231	.144	.234	.243	.247	.244	.228	.776	.413	1.166

	A	C	F	B	B4	B3	B2	B1	F4	F3	F2	C5	C4	C3	C2	A5	A3	A2
A	.904
C	.437	1.154
F	.463	1.044	1.240
B	.139	.336	.397	1.105
B4	.109	.261	.306	.832	1.372
B3	.121	.291	.344	.912	.791	1.505
B2	.150	.362	.423	1.155	.887	.973	1.696
B1	.139	.336	.397	1.105	.832	.912	1.155	1.562
F4	.457	1.040	1.215	.393	.305	.344	.422	.393	1.440
F3	.314	.699	.828	.260	.203	.223	.278	.260	.827	1.192
F2	.463	1.044	1.240	.397	.306	.344	.423	.397	1.215	.828	1.539
C5	.458	1.186	1.092	.350	.271	.302	.378	.350	1.082	.738	1.092	1.527
C4	.463	1.196	1.111	.354	.276	.308	.381	.354	1.095	.747	1.111	1.256	1.539
C3	.461	1.190	1.101	.353	.272	.305	.380	.353	1.086	.743	1.101	1.248	1.269	1.564
C2	.437	1.154	1.044	.336	.261	.291	.362	.336	1.040	.699	1.044	1.186	1.196	1.190	1.538
A5	1.066	.563	.590	.180	.140	.154	.196	.180	.585	.397	.590	.583	.590	.591	.563	2.005
A3	.682	.350	.368	.112	.087	.096	.121	.112	.362	.246	.368	.369	.373	.371	.350	.835	1.254
A2	.904	.437	.463	.139	.109	.121	.150	.139	.457	.314	.463	.458	.463	.461	.437	1.066	.682	1.439

	A	C	F	B	B4	B3	B2	B1	F4	F3	F2	C5	C4	C3	C2	A5	A3	A2
A	.000
C	.000	.000
F	.000	.000	.000
B	.000	.000	.000	.000
B4	.000	.000	.000	.000	.000
B3	.000	.000	.000	.000	.000	.000
B2	.000	.000	.000	.000	.000	.000	.000
B1	.000	.000	.000	.000	.000	.000	.000	.000
F4	.000	.000	.000	.000	.000	.000	.000	.000	.000
F3	.000	.000	.000	.000	.000	.000	.000	.000	.000	.000
F2	.000	.000	.000	.000	.000	.000	.000	.000	.000	.000	.000
C5	.000	.000	.000	.000	.000	.000	.000	.000	.000	.000	.000	.000
C4	.000	.000	.000	.000	.000	.000	.000	.000	.000	.000	.000	.000	.000
C3	.000	.000	.000	.000	.000	.000	.000	.000	.000	.000	.000	.000	.000	.000
C2	.000	.000	.000	.000	.000	.000	.000	.000	.000	.000	.000	.000	.000	.000	.000
A5	.000	.000	.000	.000	.000	.000	.000	.000	.000	.000	.000	.000	.000	.000	.000	.000
A3	.000	.000	.000	.000	.000	.000	.000	.000	.000	.000	.000	.000	.000	.000	.000	.000	.000
A2	.000	.000	.000	.000	.000	.000	.000	.000	.000	.000	.000	.000	.000	.000	.000	.000	.000	.000

	A	C	F	B	B4	B3	B2	B1	F4	F3	F2	C5	C4	C3	C2	A5	A3	A2
A	1.000
C	.278	1.000
F	.274	.831	1.000
B	.064	.153	.172	1.000
B4	.041	.094	.107	.529	1.000
B3	.044	.103	.118	.605	.335	1.000
B2	.053	.126	.144	.744	.446	.511	1.000
B1	.052	.123	.141	.724	.428	.494	.543	1.000
F4	.248	.745	.869	.156	.097	.106	.130	.128	1.000
F3	.170	.500	.576	.116	.072	.079	.096	.094	.514	1.000
F2	.240	.711	.840	.154	.095	.103	.127	.125	.753	.502	1.000
C5	.245	.853	.730	.134	.084	.091	.111	.109	.653	.441	.627	1.000
C4	.248	.856	.722	.137	.085	.092	.113	.111	.650	.442	.621	.748	1.000
C3	.246	.857	.728	.135	.083	.091	.112	.110	.656	.444	.625	.745	.747	1.000
C2	.233	.793	.685	.128	.079	.087	.105	.104	.612	.415	.590	.691	.700	.692	1.000
A5	.733	.216	.215	.051	.032	.035	.042	.041	.193	.134	.189	.190	.193	.191	.180	1.000
A3	.505	.158	.157	.038	.024	.025	.031	.030	.141	.097	.137	.140	.141	.140	.131	.412	1.000
A2	.655	.209	.203	.047	.030	.032	.039	.038	.184	.128	.178	.183	.186	.184	.174	.519	.355	1.000

	A	C	F	B	B4	B3	B2	B1	F4	F3	F2	C5	C4	C3	C2	A5	A3	A2
A	1.000
C	.488	1.000
F	.492	.914	1.000
B	.166	.336	.381	1.000
B4	.113	.229	.259	.778	1.000
B3	.118	.242	.276	.782	.601	1.000
B2	.140	.282	.321	.879	.616	.638	1.000
B1	.135	.273	.312	.862	.605	.629	.733	1.000
F4	.449	.833	.934	.347	.237	.252	.291	.284	1.000
F3	.337	.638	.719	.251	.173	.182	.210	.208	.655	1.000
F2	.438	.826	.914	.338	.230	.244	.283	.277	.833	.638	1.000
C5	.436	.913	.821	.299	.204	.216	.252	.245	.749	.570	.740	1.000
C4	.442	.928	.836	.304	.208	.219	.255	.247	.760	.578	.754	.838	1.000
C3	.438	.914	.822	.300	.204	.215	.251	.244	.750	.572	.743	.823	.840	1.000
C2	.418	.881	.789	.286	.195	.206	.239	.234	.721	.542	.710	.795	.803	.795	1.000
A5	.866	.400	.403	.134	.091	.096	.114	.110	.366	.274	.358	.355	.359	.356	.341	1.000
A3	.687	.319	.319	.107	.073	.077	.091	.087	.289	.217	.283	.285	.288	.286	.271	.552	1.000
A2	.820	.368	.372	.124	.085	.088	.104	.100	.337	.255	.330	.327	.333	.329	.314	.664	.539	1.000

	A	C	F	B	B4	B3	B2	B1	F4	F3	F2	C5	C4	C3	C2	A5	A3	A2
A	...
C	.000	...
F	.000	.000	...
B	.000	.000	.000	...
B4	.000	.000	.000	.000	...
B3	.000	.000	.000	.001	.001	...
B2	.000	.000	.000	.000	.000	.000	...
B1	.000	.000	.000	.000	.000	.000	.000	...
F4	.000	.000	.000	.000	.000	.000	.000	.000	...
F3	.000	.000	.000	.000	.000	.000	.000	.000	.000	...
F2	.000	.000	.001	.000	.000	.000	.000	.000	.001	.000	...
C5	.000	.001	.000	.000	.000	.000	.000	.000	.000	.000	.000	...
C4	.000	.001	.001	.000	.000	.000	.000	.000	.001	.000	.001	.001	...
C3	.000	.001	.000	.000	.000	.000	.000	.000	.000	.000	.000	.001	.001	...
C2	.000	.001	.000	.000	.000	.000	.000	.000	.000	.000	.000	.001	.001	.001	...
A5	.001	.000	.000	.000	.000	.000	.000	.000	.000	.000	.000	.000	.000	.000	.000	...
A3	.000	.000	.000	.000	.000	.000	.000	.000	.000	.000	.000	.000	.000	.000	.000	.000	...
A2	.001	.000	.000	.000	.000	.000	.000	.000	.000	.000	.000	.000	.000	.000	.000	.001	.000	...

	B4	B3	B2	B1	F4	F3	F2	C5	C4	C3	C2	A5	A3	A2
B4	1.115
B3	.421	1.219
B2	.613	.711	1.414
B1	.560	.662	.778	1.273
F4	.126	.140	.183	.170	1.166
F3	.084	.096	.122	.116	.574	.945
F2	.125	.141	.185	.176	.947	.583	1.272
C5	.110	.123	.162	.153	.817	.508	.829	1.246
C4	.112	.127	.165	.156	.828	.515	.837	.971	1.256
C3	.110	.125	.164	.155	.831	.517	.835	.968	.979	1.272
C2	.106	.119	.154	.148	.773	.487	.784	.904	.922	.915	1.260
A5	.049	.054	.071	.065	.288	.181	.295	.294	.300	.301	.283	1.681
A3	.028	.031	.040	.038	.165	.103	.168	.170	.171	.171	.160	.566	.990
A2	.038	.043	.055	.052	.231	.144	.234	.243	.247	.244	.228	.776	.413	1.166

	B4	B3	B2	B1	F4	F3	F2	C5	C4	C3	C2	A5	A3	A2
B4	1.372
B3	.791	1.505
B2	.887	.973	1.696
B1	.832	.912	1.155	1.562
F4	.305	.344	.422	.393	1.440
F3	.203	.223	.278	.260	.827	1.192
F2	.306	.344	.423	.397	1.215	.828	1.539
C5	.271	.302	.378	.350	1.082	.738	1.092	1.527
C4	.276	.308	.381	.354	1.095	.747	1.111	1.256	1.539
C3	.272	.305	.380	.353	1.086	.743	1.101	1.248	1.269	1.564
C2	.261	.291	.362	.336	1.040	.699	1.044	1.186	1.196	1.190	1.538
A5	.140	.154	.196	.180	.585	.397	.590	.583	.590	.591	.563	2.005
A3	.087	.096	.121	.112	.362	.246	.368	.369	.373	.371	.350	.835	1.254
A2	.109	.121	.150	.139	.457	.314	.463	.458	.463	.461	.437	1.066	.682	1.439

	B4	B3	B2	B1	F4	F3	F2	C5	C4	C3	C2	A5	A3	A2
B4	.000
B3	.000	.000
B2	.000	.000	.000
B1	.000	.000	.000	.000
F4	.000	.000	.000	.000	.000
F3	.000	.000	.000	.000	.000	.000
F2	.000	.000	.000	.000	.000	.000	.000
C5	.000	.000	.000	.000	.000	.000	.000	.000
C4	.000	.000	.000	.000	.000	.000	.000	.000	.000
C3	.000	.000	.000	.000	.000	.000	.000	.000	.000	.000
C2	.000	.000	.000	.000	.000	.000	.000	.000	.000	.000	.000
A5	.000	.000	.000	.000	.000	.000	.000	.000	.000	.000	.000	.000
A3	.000	.000	.000	.000	.000	.000	.000	.000	.000	.000	.000	.000	.000
A2	.000	.000	.000	.000	.000	.000	.000	.000	.000	.000	.000	.000	.000	.000

	B4	B3	B2	B1	F4	F3	F2	C5	C4	C3	C2	A5	A3	A2
B4	1.000
B3	.335	1.000
B2	.446	.511	1.000
B1	.428	.494	.543	1.000
F4	.097	.106	.130	.128	1.000
F3	.072	.079	.096	.094	.514	1.000
F2	.095	.103	.127	.125	.753	.502	1.000
C5	.084	.091	.111	.109	.653	.441	.627	1.000
C4	.085	.092	.113	.111	.650	.442	.621	.748	1.000
C3	.083	.091	.112	.110	.656	.444	.625	.745	.747	1.000
C2	.079	.087	.105	.104	.612	.415	.590	.691	.700	.692	1.000
A5	.032	.035	.042	.041	.193	.134	.189	.190	.193	.191	.180	1.000
A3	.024	.025	.031	.030	.141	.097	.137	.140	.141	.140	.131	.412	1.000
A2	.030	.032	.039	.038	.184	.128	.178	.183	.186	.184	.174	.519	.355	1.000

	B4	B3	B2	B1	F4	F3	F2	C5	C4	C3	C2	A5	A3	A2
B4	1.000
B3	.601	1.000
B2	.616	.638	1.000
B1	.605	.629	.733	1.000
F4	.237	.252	.291	.284	1.000
F3	.173	.182	.210	.208	.655	1.000
F2	.230	.244	.283	.277	.833	.638	1.000
C5	.204	.216	.252	.245	.749	.570	.740	1.000
C4	.208	.219	.255	.247	.760	.578	.754	.838	1.000
C3	.204	.215	.251	.244	.750	.572	.743	.823	.840	1.000
C2	.195	.206	.239	.234	.721	.542	.710	.795	.803	.795	1.000
A5	.091	.096	.114	.110	.366	.274	.358	.355	.359	.356	.341	1.000
A3	.073	.077	.091	.087	.289	.217	.283	.285	.288	.286	.271	.552	1.000
A2	.085	.088	.104	.100	.337	.255	.330	.327	.333	.329	.314	.664	.539	1.000

	B4	B3	B2	B1	F4	F3	F2	C5	C4	C3	C2	A5	A3	A2
B4	...
B3	.001	...
B2	.000	.000	...
B1	.000	.000	.000	...
F4	.000	.000	.000	.000	...
F3	.000	.000	.000	.000	.000	...
F2	.000	.000	.000	.000	.001	.000	...
C5	.000	.000	.000	.000	.000	.000	.000	...
C4	.000	.000	.000	.000	.001	.000	.001	.001	...
C3	.000	.000	.000	.000	.000	.000	.000	.001	.001	...
C2	.000	.000	.000	.000	.000	.000	.000	.001	.001	.001	...
A5	.000	.000	.000	.000	.000	.000	.000	.000	.000	.000	.000	...
A3	.000	.000	.000	.000	.000	.000	.000	.000	.000	.000	.000	.000	...
A2	.000	.000	.000	.000	.000	.000	.000	.000	.000	.000	.000	.001	.000	...

	B4	B3	B2	B1	F4	F3	F2	C5	C4	C3	C2	A5	A3	A2
B4	1.115
B3	.682	1.219
B2	.523	.655	1.414
B1	.507	.581	.908	1.273
F4	.073	.137	.253	.157	1.166
F3	-.090	-.042	-.057	-.089	.582	.945
F2	.094	.133	.162	.136	.938	.589	1.272
C5	-.024	.068	.143	.149	.799	.485	.776	1.246
C4	-.046	-.018	.031	.014	.853	.467	.869	.968	1.256
C3	-.020	.072	.146	.178	.804	.477	.853	.956	.993	1.272
C2	-.027	.099	.072	.113	.790	.425	.796	.936	.880	.901	1.260
A5	-.131	-.165	-.135	-.148	.293	.359	.295	.357	.299	.322	.364	1.681
A3	-.040	-.099	-.054	-.015	.171	.173	.206	.176	.136	.230	.265	.525	.990
A2	-.054	-.129	-.121	-.085	.133	.156	.101	.112	.124	.121	.114	.784	.440	1.166

	B4	B3	B2	B1	F4	F3	F2	C5	C4	C3	C2	A5	A3	A2
B4	1.373
B3	.947	1.505
B2	.811	.939	1.696
B1	.786	.857	1.193	1.563
F4	.337	.398	.530	.423	1.440
F3	.154	.200	.211	.160	.839	1.192
F2	.355	.397	.445	.407	1.210	.837	1.540
C5	.237	.337	.433	.433	1.074	.736	1.058	1.527
C4	.221	.255	.326	.303	1.117	.720	1.140	1.256	1.539
C3	.239	.357	.445	.472	1.068	.722	1.132	1.240	1.284	1.564
C2	.238	.363	.363	.396	1.062	.669	1.073	1.222	1.167	1.188	1.538
A5	.164	.128	.186	.167	.602	.628	.619	.667	.615	.625	.684	2.005
A3	.201	.133	.211	.227	.406	.393	.450	.425	.389	.480	.516	.804	1.254
A2	.198	.118	.160	.179	.397	.402	.371	.374	.396	.391	.382	1.073	.701	1.439

	B4	B3	B2	B1	F4	F3	F2	C5	C4	C3	C2	A5	A3	A2
B4	.000
B3	.000	.000
B2	.000	.000	.000
B1	.000	.000	.000	.000
F4	.012	.001	.000	.001	.000
F3	.634	.279	.339	.642	.000	.000
F2	.005	.001	.000	.001	.000	.000	.000
C5	.186	.015	.002	.001	.000	.000	.000	.000
C4	.277	.156	.048	.072	.000	.000	.000	.000	.000
C3	.165	.011	.003	.001	.000	.000	.000	.000	.000	.000
C2	.185	.005	.019	.003	.000	.000	.000	.000	.000	.000	.000
A5	.828	.808	.789	.923	.000	.000	.000	.000	.000	.000	.000	.000
A3	.267	.782	.319	.146	.000	.000	.000	.000	.000	.000	.000	.000	.000
A2	.345	.915	.813	.560	.001	.000	.004	.002	.001	.001	.002	.000	.000	.000

	B4	B3	B2	B1	F4	F3	F2	C5	C4	C3	C2	A5	A3	A2
B4	1.000
B3	.536	1.000
B2	.382	.468	1.000
B1	.387	.429	.649	1.000
F4	.056	.106	.178	.117	1.000
F3	-.081	-.037	-.045	-.073	.521	1.000
F2	.072	.097	.109	.095	.744	.507	1.000
C5	-.021	.048	.099	.105	.633	.414	.580	1.000
C4	-.037	-.015	.019	.007	.676	.401	.657	.738	1.000
C3	-.018	.052	.101	.125	.630	.402	.631	.738	.754	1.000
C2	-.021	.069	.047	.079	.621	.356	.591	.714	.662	.679	1.000
A5	-.087	-.105	-.081	-.091	.193	.263	.186	.231	.189	.203	.235	1.000
A3	-.036	-.082	-.042	-.013	.146	.161	.167	.144	.108	.189	.215	.381	1.000
A2	-.044	-.097	-.086	-.063	.103	.135	.076	.083	.092	.090	.088	.528	.380	1.000

	B4	B3	B2	B1	F4	F3	F2	C5	C4	C3	C2	A5	A3	A2
B4	1.000
B3	.704	1.000
B2	.569	.617	1.000
B1	.573	.594	.758	1.000
F4	.263	.293	.366	.306	1.000
F3	.134	.165	.165	.132	.664	1.000
F2	.268	.283	.299	.285	.830	.645	1.000
C5	.180	.240	.289	.305	.748	.575	.721	1.000
C4	.168	.185	.218	.213	.771	.561	.769	.841	1.000
C3	.180	.253	.298	.327	.738	.560	.763	.822	.852	1.000
C2	.181	.259	.242	.276	.740	.523	.733	.818	.790	.794	1.000
A5	.108	.082	.111	.103	.377	.435	.375	.407	.373	.377	.414	1.000
A3	.170	.108	.160	.181	.327	.345	.348	.332	.305	.372	.402	.532	1.000
A2	.153	.090	.112	.132	.296	.330	.267	.273	.284	.280	.279	.668	.553	1.000

	B4	B3	B2	B1	F4	F3	F2	C5	C4	C3	C2	A5	A3	A2
B4	...
B3	.000	...
B2	.000	.000	...
B1	.000	.000	.000	...
F4	.014	.001	.000	.001	...
F3	.643	.288	.344	.639	.000	...
F2	.005	.001	.001	.001	.001	.000	...
C5	.193	.017	.002	.002	.000	.000	.001	...
C4	.286	.161	.051	.078	.001	.000	.001	.001	...
C3	.177	.012	.003	.001	.000	.000	.001	.001	.001	...
C2	.188	.006	.021	.003	.001	.000	.001	.001	.001	.001	...
A5	.829	.808	.795	.923	.000	.000	.000	.000	.000	.000	.000	...
A3	.277	.791	.326	.150	.000	.000	.000	.000	.000	.000	.000	.000	...
A2	.352	.917	.816	.562	.001	.000	.004	.002	.001	.001	.002	.001	.000	...

	B4	B3	B2	B1	F4	F3	F2	C5	C4	C3	C2	A5	A3	A2
A	.000	.000	.000	.000	.004	.001	.002	.003	.004	.004	.002	.231	.109	.161
C	.000	.000	.001	.001	.053	.013	.036	.161	.176	.166	.105	.002	.001	.002
F	.002	.002	.005	.005	.286	.071	.202	.045	.043	.044	.031	.001	.001	.001
B	.094	.119	.198	.188	.009	.003	.007	.002	.002	.002	.001	.000	.000	.000

	B4	B3	B2	B1	F4	F3	F2	C5	C4	C3	C2	A5	A3	A2
A	.001	.001	.001	.001	.039	.011	.033	.022	.024	.022	.016	.383	.225	.395
C	.002	.002	.003	.003	.098	.027	.084	.258	.294	.257	.194	.013	.007	.010
F	.008	.008	.014	.012	.485	.126	.383	.085	.102	.087	.060	.019	.011	.017
B	.246	.238	.400	.395	.026	.006	.020	.005	.005	.004	.003	.001	.001	.001

	B4	B3	B2	B1	F4	F3	F2	C5	C4	C3	C2	A5	A3	A2
A	.023	.028	.019	.018	.043	.040	.047	.022	.021	.021	.022	.000	.000	.000
C	.000	.000	.000	.000	.000	.000	.000	.000	.000	.000	.000	.025	.019	.024
F	.000	.000	.000	.000	.000	.000	.000	.000	.000	.000	.000	.047	.037	.047
B	.000	.000	.000	.000	.000	.000	.000	.000	.000	.000	.000	.023	.017	.023

	A	C	F	B
C	.310	.000	.000	.000
F	.325	.791	.000	.000
B	.071	.143	.161	.000
B4	.052	.102	.114	.604
B3	.058	.117	.130	.703
B2	.076	.153	.174	.976
B1	.071	.143	.161	1.000
F4	.320	.797	.920	.000
F3	.200	.491	.551	.000
F2	.325	.791	1.000	.000
C5	.326	.973	.000	.000
C4	.335	.988	.000	.000
C3	.334	.988	.000	.000
C2	.310	1.000	.000	.000
A5	1.090	.000	.000	.000
A3	.621	.000	.000	.000
A2	1.000	.000	.000	.000

	A	C	F	B
C	.617	.000	.000	.000
F	.641	.999	.000	.000
B	.198	.323	.362	.000
B4	.155	.253	.281	.998
B3	.171	.285	.315	1.057
B2	.216	.351	.393	1.183
B1	.198	.323	.362	1.000
F4	.635	.981	1.066	.000
F3	.429	.677	.733	.000
F2	.641	.999	1.000	.000
C5	.642	1.131	.000	.000
C4	.655	1.155	.000	.000
C3	.655	1.144	.000	.000
C2	.617	1.000	.000	.000
A5	1.538	.000	.000	.000
A3	.905	.000	.000	.000
A2	1.000	.000	.000	.000

	A	C	F	B
C	.000	...	...	...
F	.000	.000	...	...
B	.000	.000	.000	...
B4	.000	.000	.000	.000
B3	.000	.000	.000	.001
B2	.000	.000	.000	.000
B1	.000	.000	.000	...
F4	.000	.000	.000	...
F3	.000	.000	.000	...
F2	.000	.000	...	...
C5	.000	.000	...	...
C4	.000	.000	...	...
C3	.000	.000	...	...
C2	.000	...	...	...
A5	.000	...	...	...
A3	.000	...	...	...
A2	...	...	...	...

	A	C	F	B
C	.278	.000	.000	.000
F	.274	.795	.000	.000
B	.064	.148	.172	.000
B4	.041	.091	.107	.529
B3	.044	.100	.118	.605
B2	.053	.123	.144	.744
B1	.052	.120	.141	.724
F4	.248	.716	.869	.000
F3	.170	.488	.576	.000
F2	.240	.682	.840	.000
C5	.245	.853	.000	.000
C4	.248	.856	.000	.000
C3	.246	.857	.000	.000
C2	.233	.793	.000	.000
A5	.733	.000	.000	.000
A3	.505	.000	.000	.000
A2	.655	.000	.000	.000

	A	C	F	B
C	.488	.000	.000	.000
F	.492	.904	.000	.000
B	.166	.328	.381	.000
B4	.113	.225	.259	.778
B3	.118	.237	.276	.782
B2	.140	.276	.321	.879
B1	.135	.267	.312	.862
F4	.449	.824	.934	.000
F3	.337	.623	.719	.000
F2	.438	.813	.914	.000
C5	.436	.913	.000	.000
C4	.442	.928	.000	.000
C3	.438	.914	.000	.000
C2	.418	.881	.000	.000
A5	.866	.000	.000	.000
A3	.687	.000	.000	.000
A2	.820	.000	.000	.000

	A	C	F	B
C	.000	...	...	...
F	.000	.000	...	...
B	.000	.000	.000	...
B4	.000	.000	.000	.000
B3	.000	.000	.000	.001
B2	.000	.000	.000	.000
B1	.000	.000	.000	.000
F4	.000	.000	.000	...
F3	.000	.000	.000	...
F2	.000	.001	.001	...
C5	.000	.001	...	...
C4	.000	.001	...	...
C3	.000	.001	...	...
C2	.000	.001	...	...
A5	.001	...	...	...
A3	.000	...	...	...
A2	.001	...	...	...

	A	C	F	B
C	.310	.000	.000	.000
F	-.021	.791	.000	.000
B	.000	.000	.161	.000
B4	.000	.000	.000	.604
B3	.000	.000	.000	.703
B2	.000	.000	.000	.976
B1	.000	.000	.000	1.000
F4	.000	.000	.920	.000
F3	.000	.000	.551	.000
F2	.000	.000	1.000	.000
C5	.000	.973	.000	.000
C4	.000	.988	.000	.000
C3	.000	.988	.000	.000
C2	.000	1.000	.000	.000
A5	1.090	.000	.000	.000
A3	.621	.000	.000	.000
A2	1.000	.000	.000	.000

	A	C	F	B
C	.617	.000	.000	.000
F	.163	.999	.000	.000
B	.000	.000	.362	.000
B4	.000	.000	.000	.998
B3	.000	.000	.000	1.057
B2	.000	.000	.000	1.183
B1	.000	.000	.000	1.000
F4	.000	.000	1.066	.000
F3	.000	.000	.733	.000
F2	.000	.000	1.000	.000
C5	.000	1.131	.000	.000
C4	.000	1.155	.000	.000
C3	.000	1.144	.000	.000
C2	.000	1.000	.000	.000
A5	1.538	.000	.000	.000
A3	.905	.000	.000	.000
A2	1.000	.000	.000	.000

	A	C	F	B
C	.000	...	...	...
F	.204	.000	...	...
B	...	...	.000	...
B4	...	...	...	.000
B3	...	...	...	.001
B2	...	...	...	.000
B1	...	...	...	...
F4	...	...	.000	...
F3	...	...	.000	...
F2	...	...	...	...
C5	...	.000	...	...
C4	...	.000	...	...
C3	...	.000	...	...
C2	...	...	...	...
A5	.000	...	...	...
A3	.000	...	...	...
A2	...	...	...	...

	A	C	F	B
C	.278	.000	.000	.000
F	-.020	.795	.000	.000
B	.000	.000	.172	.000
B4	.000	.000	.000	.529
B3	.000	.000	.000	.605
B2	.000	.000	.000	.744
B1	.000	.000	.000	.724
F4	.000	.000	.869	.000
F3	.000	.000	.576	.000
F2	.000	.000	.840	.000
C5	.000	.853	.000	.000
C4	.000	.856	.000	.000
C3	.000	.857	.000	.000
C2	.000	.793	.000	.000
A5	.733	.000	.000	.000
A3	.505	.000	.000	.000
A2	.655	.000	.000	.000

	A	C	F	B
C	.488	.000	.000	.000
F	.130	.904	.000	.000
B	.000	.000	.381	.000
B4	.000	.000	.000	.778
B3	.000	.000	.000	.782
B2	.000	.000	.000	.879
B1	.000	.000	.000	.862
F4	.000	.000	.934	.000
F3	.000	.000	.719	.000
F2	.000	.000	.914	.000
C5	.000	.913	.000	.000
C4	.000	.928	.000	.000
C3	.000	.914	.000	.000
C2	.000	.881	.000	.000
A5	.866	.000	.000	.000
A3	.687	.000	.000	.000
A2	.820	.000	.000	.000

	A	C	F	B
C	.000	...	...	...
F	.221	.000	...	...
B	...	...	.000	...
B4	...	...	...	.000
B3	...	...	...	.001
B2	...	...	...	.000
B1	...	...	...	.000
F4	...	...	.000	...
F3	...	...	.000	...
F2	...	...	.001	...
C5	...	.001	...	...
C4	...	.001	...	...
C3	...	.001	...	...
C2	...	.001	...	...
A5	.001	...	...	...
A3	.000	...	...	...
A2	.001	...	...	...

	A	C	F	B
C	.000	.000	.000	.000
F	.280	.000	.000	.000
B	.071	.143	.000	.000
B4	.052	.102	.114	.000
B3	.058	.117	.130	.000
B2	.076	.153	.174	.000
B1	.071	.143	.161	.000
F4	.320	.797	.000	.000
F3	.200	.491	.000	.000
F2	.325	.791	.000	.000
C5	.326	.000	.000	.000
C4	.335	.000	.000	.000
C3	.334	.000	.000	.000
C2	.310	.000	.000	.000
A5	.000	.000	.000	.000
A3	.000	.000	.000	.000
A2	.000	.000	.000	.000

	A	C	F	B
C	.000	.000	.000	.000
F	.555	.000	.000	.000
B	.198	.323	.000	.000
B4	.155	.253	.281	.000
B3	.171	.285	.315	.000
B2	.216	.351	.393	.000
B1	.198	.323	.362	.000
F4	.635	.981	.000	.000
F3	.429	.677	.000	.000
F2	.641	.999	.000	.000
C5	.642	.000	.000	.000
C4	.655	.000	.000	.000
C3	.655	.000	.000	.000
C2	.617	.000	.000	.000
A5	.000	.000	.000	.000
A3	.000	.000	.000	.000
A2	.000	.000	.000	.000

	A	C	F	B
C	...	...	...	...
F	.000	...	...	...
B	.000	.000	...	...
B4	.000	.000	.000	...
B3	.000	.000	.000	...
B2	.000	.000	.000	...
B1	.000	.000	.000	...
F4	.000	.000	...	...
F3	.000	.000	...	...
F2	.000	.000	...	...
C5	.000	...	...	...
C4	.000	...	...	...
C3	.000	...	...	...
C2	.000	...	...	...
A5	...	...	...	...
A3	...	...	...	...
A2	...	...	...	...

	A	C	F	B
C	.000	.000	.000	.000
F	.239	.000	.000	.000
B	.064	.148	.000	.000
B4	.041	.091	.107	.000
B3	.044	.100	.118	.000
B2	.053	.123	.144	.000
B1	.052	.120	.141	.000
F4	.248	.716	.000	.000
F3	.170	.488	.000	.000
F2	.240	.682	.000	.000
C5	.245	.000	.000	.000
C4	.248	.000	.000	.000
C3	.246	.000	.000	.000
C2	.233	.000	.000	.000
A5	.000	.000	.000	.000
A3	.000	.000	.000	.000
A2	.000	.000	.000	.000

	A	C	F	B
C	.000	.000	.000	.000
F	.421	.000	.000	.000
B	.166	.328	.000	.000
B4	.113	.225	.259	.000
B3	.118	.237	.276	.000
B2	.140	.276	.321	.000
B1	.135	.267	.312	.000
F4	.449	.824	.000	.000
F3	.337	.623	.000	.000
F2	.438	.813	.000	.000
C5	.436	.000	.000	.000
C4	.442	.000	.000	.000
C3	.438	.000	.000	.000
C2	.418	.000	.000	.000
A5	.000	.000	.000	.000
A3	.000	.000	.000	.000
A2	.000	.000	.000	.000

	A	C	F	B
C	...	...	...	...
F	.000	...	...	...
B	.000	.000	...	...
B4	.000	.000	.000	...
B3	.000	.000	.000	...
B2	.000	.000	.000	...
B1	.000	.000	.000	...
F4	.000	.000	...	...
F3	.000	.000	...	...
F2	.000	.001	...	...
C5	.000	...	...	...
C4	.000	...	...	...
C3	.000	...	...	...
C2	.000	...	...	...
A5	...	...	...	...
A3	...	...	...	...
A2	...	...	...	...

Iteration		Negative eigenvalues	Condition #	Smallest eigenvalue	Diameter	F	NTries	Ratio
0	e	8		-.729	9999.000	2701.647	0	9999.000
1	e*	9		-.250	3.037	1255.635	20	.378
2	e*	3		-.133	.926	820.993	5	.605
3	e	1		-.046	.626	461.000	5	.870
4	e	0	618.469		.629	257.340	5	.827
5	e	0	140.078		.475	214.321	4	.000
6	e	0	58.321		.565	171.654	1	.997
7	e	0	62.054		.088	166.402	1	1.055
8	e	0	60.571		.012	166.334	1	1.015
9	e	0	60.806		.000	166.334	1	1.001

	x1	x2	x3	x4	par_5	par_6	par_7	par_8	par_9	par_10	par_11	par_12	par_13	par_14	par_15	par_16	par_17	par_18	par_19	par_20	par_21	par_22	par_23	par_24	par_25	par_26	par_27	par_28	par_29	par_30	par_31	par_32
x1	.007
x2	.000	.003
x3	-.001	-.001	.003
x4	.000	.000	.000	.003
par_5	.002	.000	.000	.000	.007
par_6	.004	.000	.000	.000	.004	.016
par_7	-.001	.000	.001	.000	.000	.000	.003
par_8	-.001	.000	.001	.000	.000	.000	.002	.003
par_9	-.001	.000	.001	.000	.000	.000	.002	.002	.003
par_10	.000	.000	-.001	.000	.000	.000	.000	.000	.000	.003
par_11	.000	.000	-.001	.000	.000	.000	.000	.000	.000	.001	.002
par_12	.000	.000	.000	-.001	.000	.000	.000	.000	.000	.000	.000	.005
par_13	.000	.000	.000	-.001	.000	.000	.000	.000	.000	.000	.000	.002	.006
par_14	.000	.000	.000	-.001	.000	.000	.000	.000	.000	.000	.000	.002	.003	.005
par_15	-.004	.000	.000	.000	-.005	-.010	.000	.000	.000	.000	.000	.000	.000	.000	.013
par_16	.000	.000	-.002	.000	.000	-.001	-.003	-.003	-.003	.000	.000	.000	.000	.000	.000	.009
par_17	.000	.000	.000	.000	.000	.000	.000	.000	.000	.000	-.001	.000	.000	.000	.000	.000	.001
par_18	.000	.000	.000	.001	.000	.000	.000	.000	.000	.000	.000	-.004	-.004	-.004	.000	.000	.000	.012
par_19	.002	.000	.000	.000	.002	.005	.000	.000	.000	.000	.000	.000	.000	.000	-.004	.000	.000	.000	.006
par_20	.000	.000	.000	.000	-.001	.001	.000	.000	.000	.000	.000	.000	.000	.000	.000	.000	.000	.000	.000	.005
par_21	-.002	.000	.000	.000	.000	-.009	.000	.000	.000	.000	.000	.000	.000	.000	.004	.000	.000	.000	-.004	-.002	.013
par_22	.000	.000	.000	.000	.000	.000	.000	.000	.000	.000	.000	.000	.000	.000	.000	.000	.000	.000	.000	.000	.000	.001
par_23	.000	.000	.000	.000	.000	.000	.000	.000	.000	.000	.000	.000	.000	.000	.000	.000	.000	.000	.000	.000	.000	.000	.001
par_24	.000	.000	.000	.000	.000	.000	.000	.000	.000	.000	.000	.000	.000	.000	.000	.000	.000	.000	.000	.000	.000	.000	.000	.001
par_25	.000	.000	.000	.000	.000	.000	.000	.000	.000	.000	.000	.000	.000	.000	.000	.000	.000	.000	.000	.000	.000	.000	.000	.000	.001
par_26	.000	.000	.000	.000	.000	.000	.000	.000	.000	.000	.001	.000	.000	.000	.000	.000	.000	.000	.000	.000	.000	.000	.000	.000	.000	.001
par_27	.000	.000	.000	.000	.000	.000	.000	.000	.000	.000	.000	.000	.000	.000	.000	.000	.000	.000	.000	.000	.000	.000	.000	.000	.000	.000	.003
par_28	.000	.000	.000	.000	.000	.000	.000	.000	.000	.000	-.001	.000	.000	.000	.000	.000	.000	.000	.000	.000	.000	.000	.000	.000	.000	.000	.000	.001
par_29	.000	.000	.000	.000	.000	.000	.000	.000	.000	.000	.000	.001	.002	.002	.000	.000	.000	-.002	.000	.000	.000	.000	.000	.000	.000	.000	.000	.000	.004
par_30	.000	.000	.000	.000	.000	.000	.000	.000	.000	.000	.000	-.001	.001	.001	.000	.000	.000	.000	.000	.000	.000	.000	.000	.000	.000	.000	.000	.000	.000	.005
par_31	.000	.000	.000	.000	.000	.000	.000	.000	.000	.000	.000	.000	-.002	-.001	.000	.000	.000	.001	.000	.000	.000	.000	.000	.000	.000	.000	.000	.000	-.001	-.001	.005
par_32	.000	.000	.000	.000	.000	.000	.000	.000	.000	.000	.000	.000	-.001	-.002	.000	.000	.000	.001	.000	.000	.000	.000	.000	.000	.000	.000	.000	.000	-.001	-.001	.001	.005

	x1	x2	x3	x4	par_5	par_6	par_7	par_8	par_9	par_10	par_11	par_12	par_13	par_14	par_15	par_16	par_17	par_18	par_19	par_20	par_21	par_22	par_23	par_24	par_25	par_26	par_27	par_28	par_29	par_30	par_31	par_32
x1	1.000
x2	-.038	1.000
x3	-.114	-.310	1.000
x4	.000	-.018	-.081	1.000
par_5	.268	.059	-.008	.000	1.000
par_6	.378	.056	-.003	-.002	.383	1.000
par_7	-.166	.012	.447	-.001	-.001	-.003	1.000
par_8	-.176	.017	.458	-.004	-.003	-.004	.620	1.000
par_9	-.163	.012	.434	.001	-.001	-.001	.593	.608	1.000
par_10	.000	.024	-.239	.051	.000	.001	-.001	-.001	.005	1.000
par_11	-.001	-.035	-.406	.130	-.003	-.002	-.009	-.003	.004	.329	1.000
par_12	.000	-.001	-.002	-.143	.000	.000	.000	.000	.000	.001	.003	1.000
par_13	.000	.000	.000	-.140	.000	.000	.000	.000	.000	.000	-.001	.397	1.000
par_14	.000	.001	.000	-.134	.000	.000	.000	.000	.000	.000	-.002	.349	.488	1.000
par_15	-.387	-.073	.007	.001	-.490	-.695	.002	.003	.001	-.001	.002	.000	.000	.000	1.000
par_16	-.005	.031	-.386	.001	-.035	-.049	-.512	-.522	-.507	-.001	.002	.000	.000	.000	.046	1.000
par_17	.001	.017	.048	-.050	-.001	.002	.009	-.002	.015	-.180	-.299	.003	.003	.004	-.001	.003	1.000
par_18	.000	.004	.003	.094	.000	.000	.000	.001	.000	.003	-.006	-.549	-.512	-.468	.000	.000	-.008	1.000
par_19	.303	.044	-.010	-.002	.268	.529	-.003	-.004	-.001	.001	-.003	.000	.000	.000	-.433	-.067	.001	.000	1.000
par_20	.008	-.009	.004	.000	-.229	.141	.000	.001	.001	.001	.001	.000	.000	.000	-.034	.003	.001	.000	.049	1.000
par_21	-.166	.000	-.004	.002	-.010	-.590	.003	.003	.000	-.001	.002	.000	.000	.000	.278	.027	-.004	.000	-.406	-.240	1.000
par_22	-.046	.019	.087	-.003	-.004	-.005	.135	.153	.109	.002	-.006	.000	.000	.000	.004	-.092	-.010	.001	-.006	.001	.004	1.000
par_23	.013	-.018	-.008	-.002	-.001	.003	-.145	-.017	.003	.006	.023	.000	.000	.000	-.001	.019	-.045	.001	.002	.003	-.004	-.065	1.000
par_24	.039	-.035	-.027	.013	.005	.007	-.041	-.177	-.021	.004	.003	.000	.000	-.001	-.005	.030	-.008	-.003	.008	-.002	-.005	-.128	-.033	1.000
par_25	-.003	-.017	.049	-.009	.000	-.005	.039	.039	-.111	-.013	-.021	.000	.000	.000	.003	-.010	-.064	.002	-.004	-.002	.006	.028	-.098	-.102	1.000
par_26	-.001	.009	-.151	.058	-.003	-.002	-.011	-.005	.007	.142	.327	.003	-.003	-.003	.002	.002	-.174	-.004	-.003	.002	.001	-.006	.029	.008	-.032	1.000
par_27	.000	-.048	.029	.018	-.001	-.002	-.002	-.001	-.004	-.101	.000	.000	-.001	-.001	.001	.002	-.021	-.006	-.002	.000	.002	-.004	.001	-.003	.008	-.015	1.000
par_28	.001	.038	.133	-.061	.004	.004	.014	.004	-.003	-.059	-.355	-.007	.000	.001	-.004	-.004	-.080	.013	.005	-.002	-.003	.010	-.035	.000	.024	-.320	-.017	1.000
par_29	.000	.000	-.001	-.068	.000	.000	.000	.000	.000	.000	.001	.255	.377	.341	.000	.000	.005	-.312	.000	.000	.000	.000	.001	-.001	.000	-.001	-.001	-.004	1.000
par_30	.000	.001	.002	-.017	.000	.000	.000	.000	.000	-.001	-.006	-.273	.193	.211	.000	.000	.000	-.042	.000	.000	.000	.000	.000	.000	.001	-.007	-.001	.010	.082	1.000
par_31	.000	.000	-.001	.042	.000	.000	.000	.000	.000	.000	.003	-.001	-.350	-.244	.000	.000	-.002	.134	.000	.000	.000	.000	.000	.000	.000	.004	.001	-.003	-.255	-.267	1.000
par_32	.000	-.001	.000	.041	.000	.000	.000	.000	.000	.000	.003	.029	-.207	-.301	.000	.000	-.003	.099	.000	.000	.000	.000	.000	.001	-.001	.004	.001	-.003	-.193	-.262	.220	1.000

	x1	x2	x3	x4	par_5	par_6	par_7	par_8	par_9	par_10	par_11	par_12	par_13	par_14	par_15	par_16	par_17	par_18	par_19	par_20	par_21	par_22	par_23	par_24	par_25	par_26	par_27	par_28	par_29	par_30	par_31	par_32
x1	.000
x2	-3.713	.000
x3	4.113	8.907	.000
x4	-1.883	2.291	-7.360	.000
par_5	2.980	7.054	-1.423	4.874	.000
par_6	6.649	8.801	2.689	7.203	4.262	.000
par_7	5.740	13.055	2.817	10.180	3.178	-1.548	.000
par_8	5.782	13.208	2.938	10.264	3.233	-1.516	.104	.000
par_9	5.663	13.007	2.593	10.116	3.066	-1.644	-.269	-.379	.000
par_10	1.943	7.725	-2.958	5.089	-1.139	-4.606	-5.790	-5.887	-5.689	.000
par_11	5.600	12.471	1.063	10.419	2.523	-2.094	-1.013	-1.090	-.849	6.218	.000
par_12	5.595	10.966	1.896	8.164	2.934	-1.377	.132	.079	.274	4.896	.965	.000
par_13	3.593	8.327	-.357	5.839	.975	-2.772	-2.150	-2.208	-2.027	2.391	-1.432	-2.579	.000
par_14	2.774	7.512	-1.437	5.028	.086	-3.487	-3.339	-3.403	-3.220	1.343	-2.640	-3.755	-1.320	.000
par_15	1.653	5.068	-1.370	3.670	-.170	-2.498	-2.737	-2.781	-2.644	.660	-2.203	-2.623	-1.018	-.284	.000
par_16	3.050	7.021	-.398	5.169	.714	-2.630	-1.655	-1.692	-1.571	1.852	-1.365	-1.897	-.142	.682	.835	.000
par_17	-2.205	2.662	-9.465	-.137	-5.559	-7.687	-12.647	-12.737	-12.648	-5.790	-10.881	-10.096	-7.159	-6.232	-4.011	-5.737	.000
par_18	2.810	6.283	-.461	4.877	.639	-2.597	-1.839	-1.883	-1.742	1.643	-1.273	-1.457	-.139	.495	.740	-.034	5.101	.000
par_19	1.305	5.446	-3.295	3.280	-1.826	-6.408	-5.222	-5.285	-5.123	-.721	-4.612	-4.711	-2.628	-1.746	-.914	-2.102	3.830	-1.972	.000
par_20	2.353	7.119	-2.073	4.925	-.370	-4.149	-4.066	-4.137	-3.952	.765	-3.380	-3.640	-1.483	-.530	-.116	-1.145	5.802	-1.015	1.304	.000
par_21	1.345	4.632	-1.872	3.114	-.677	-2.874	-3.245	-3.289	-3.152	.116	-2.723	-3.095	-1.496	-.776	-.492	-1.274	3.406	-1.159	.500	-.349	.000
par_22	-.515	4.948	-7.292	2.051	-3.828	-6.504	-10.836	-11.093	-10.616	-3.775	-9.671	-8.151	-5.319	-4.322	-2.700	-4.099	2.845	-3.764	-2.005	-3.825	-2.113	.000
par_23	-1.728	3.516	-8.946	.581	-5.162	-7.416	-11.789	-12.595	-12.509	-5.851	-12.481	-9.822	-6.791	-5.826	-3.657	-5.404	.969	-4.773	-3.365	-5.383	-3.047	-2.062	.000
par_24	-2.096	3.075	-9.451	.136	-5.557	-7.675	-13.000	-12.489	-13.092	-6.464	-13.148	-10.297	-7.211	-6.258	-3.928	-5.750	.390	-5.055	-3.767	-5.826	-3.314	-2.637	-.684	.000
par_25	-1.752	3.482	-9.223	.540	-5.201	-7.427	-12.822	-12.994	-11.994	-5.862	-12.316	-9.868	-6.832	-5.869	-3.687	-5.390	.909	-4.802	-3.396	-5.418	-3.080	-2.220	-.060	.604	.000
par_26	-1.518	3.568	-7.790	.772	-4.845	-7.198	-11.485	-11.666	-11.534	-5.637	-13.644	-9.291	-6.387	-5.431	-3.477	-5.118	1.072	-4.555	-3.080	-4.988	-2.880	-1.679	.286	.910	.334	.000
par_27	1.626	6.895	-3.616	4.517	-1.410	-4.768	-6.004	-6.100	-5.886	-.371	-5.338	-5.115	-2.651	-1.631	-.883	-2.088	5.546	-1.853	.403	-1.074	-.342	3.195	5.131	5.696	5.204	4.577	.000
par_28	-2.350	2.611	-10.276	-.284	-5.774	-7.824	-13.256	-13.362	-13.129	-6.482	-11.259	-10.388	-7.402	-6.474	-4.131	-5.893	-.190	-5.272	-4.028	-6.050	-3.523	-3.207	-1.245	-.639	-1.226	-1.231	-5.896	.000
par_29	.495	5.165	-4.560	2.759	-2.399	-5.410	-6.832	-6.919	-6.732	-1.725	-6.237	-6.871	-4.539	-3.280	-1.708	-2.951	3.495	-2.365	-.730	-2.178	-1.177	1.363	2.947	3.414	2.991	2.615	-1.338	3.711	.000
par_30	.462	4.886	-4.367	2.672	-2.333	-5.322	-6.489	-6.567	-6.387	-1.650	-5.878	-5.076	-3.881	-2.909	-1.683	-2.884	3.238	-2.567	-.720	-2.106	-1.165	1.253	2.716	3.146	2.758	2.418	-1.287	3.455	-.020	.000
par_31	2.120	6.735	-2.227	4.678	-.584	-3.991	-4.173	-4.239	-4.059	.516	-3.509	-3.753	-1.413	-.639	-.266	-1.291	5.349	-1.233	1.056	-.199	.231	3.450	4.925	5.354	4.967	4.577	.821	5.580	1.711	1.650	.000
par_32	2.341	7.117	-2.052	5.010	-.402	-3.885	-4.038	-4.106	-3.922	.768	-3.356	-3.672	-1.340	-.458	-.113	-1.135	5.763	-1.057	1.272	.006	.388	3.806	5.348	5.798	5.392	4.970	1.076	6.014	1.992	1.872	.231	.000

Iterations	Method 0	Method 1	Method 2
1	0	0	0
2	0	0	0
3	0	0	0
4	0	1	0
5	0	53	0
6	0	636	0
7	0	1703	0
8	0	1256	0
9	0	820	0
10	0	324	1
11	0	131	0
12	0	47	0
13	0	16	0
14	0	8	0
15	0	2	0
16	0	2	0
17	0	0	0
18	0	0	0
19	0	0	0
Total	0	4999	1

0 bootstrap samples were unused because of a singular covariance matrix.

0 bootstrap samples were unused because a solution was not found.

5000 usable bootstrap samples were obtained.

		\|--------------------
	144.441	\|*
	164.139	\|*
	183.838	\|***
	203.537	\|********
	223.236	\|****************
	242.935	\|********************
	262.633	\|*******************
N = 5000	282.332	\|************
Mean = 254.179	302.031	\|*******
S. e. = .518	321.730	\|****
	341.429	\|**
	361.127	\|*
	380.826	\|*
	400.525	\|*
	420.224	\|*
		\|--------------------

		\|--------------------
	185.546	\|*
	196.836	\|*****
	208.127	\|****************
	219.417	\|********************
	230.707	\|***************
	241.997	\|********
	253.287	\|****
N = 5000	264.577	\|**
Mean = 223.746	275.867	\|*
S. e. = .245	287.157	\|*
	298.447	\|*
	309.737	\|*
	321.028	\|*
	332.318	\|
	343.608	\|*
		\|--------------------

		\|--------------------
	-450.371	\|*
	-356.540	\|*
	-262.708	\|**
	-168.877	\|*****
	-75.046	\|************
	18.785	\|*******************
	112.616	\|********************
N = 5000	206.448	\|*****************
Mean = 114.540	300.279	\|***********
S. e. = 2.327	394.110	\|*****
	487.941	\|***
	581.772	\|*
	675.604	\|*
	769.435	\|
	863.266	\|*
		\|--------------------

		\|--------------------
	-15.634	\|*
	9.163	\|*
	33.959	\|****
	58.756	\|**********
	83.553	\|*****************
	108.350	\|********************
	133.146	\|****************
N = 5000	157.943	\|**********
Mean = 112.484	182.740	\|*****
S. e. = .607	207.537	\|**
	232.333	\|*
	257.130	\|*
	281.927	\|*
	306.724	\|*
	331.520	\|*
		\|--------------------

Model	NPAR	CMIN	DF	P	CMIN/DF
Default model	32	166.334	73	.000	2.279
Saturated model	105	.000	0
Independence model	14	2692.446	91	.000	29.587

Model	RMR	GFI	AGFI	PGFI
Default model	.064	.931	.901	.647
Saturated model	.000	1.000
Independence model	.508	.326	.222	.282

Model	NFI Delta1	RFI rho1	IFI Delta2	TLI rho2	CFI
Default model	.938	.923	.964	.955	.964
Saturated model	1.000		1.000		1.000
Independence model	.000	.000	.000	.000	.000

Model	PRATIO	PNFI	PCFI
Default model	.802	.753	.773
Saturated model	.000	.000	.000
Independence model	1.000	.000	.000

Model	NCP	LO 90	HI 90
Default model	93.334	59.651	134.741
Saturated model	.000	.000	.000
Independence model	2601.446	2435.800	2774.421

Model	FMIN	F0	LO 90	HI 90
Default model	.544	.305	.195	.440
Saturated model	.000	.000	.000	.000
Independence model	8.799	8.501	7.960	9.067

Model	RMSEA	LO 90	HI 90	PCLOSE
Default model	.065	.052	.078	.032
Independence model	.306	.296	.316	.000

Model	AIC	BCC	BIC	CAIC
Default model	230.334	233.633	349.593	381.593
Saturated model	210.000	220.825	601.319	706.319
Independence model	2720.446	2721.889	2772.622	2786.622

Model	ECVI	LO 90	HI 90	MECVI
Default model	.753	.643	.888	.764
Saturated model	.686	.686	.686	.722
Independence model	8.890	8.349	9.456	8.895

Model	HOELTER .05	HOELTER .01
Default model	173	192
Independence model	13	15

Covariances

Intercepts

Minimization:	.019
Miscellaneous:	.214
Bootstrap:	15.362
Total:	15.595