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I recently ran my analysis and the fit indices are less than ideal. What do I do now? I have pasted the text output below. I apologize if it's overkill but I figure it's better to provide too much then not enough info. A little background - I am trying to conduct CFA on an existing model of school psychologists' self-efficacy. 74 items (7-point likert), 5 factors and 504 participants. Missing data was completely at random and I used mean substitution (by item). This is my dissertation so I'm not sure what my next move is.
The lack of fit could be due to small sample size but gaining more participants isn't an option. Can anyone provide me with some literature on what to do in such a case? Can I use EFA to replicate the model?
Thanks,
Adam
C:\Users\Adam\Dropbox\School\dissertation\Results\Model now identified 2-26.amw
Analysis Summary
Date and Time
Date: Tuesday, April 29, 2014
Time: 12:21:48 PM
Title
Model now identified 2-26: Tuesday, April 29, 2014 12:21 PM
Groups
Group number 1 (Group number 1)
Notes for Group (Group number 1)
The model is recursive.
Sample size = 504
Variable Summary (Group number 1)
Your model contains the following variables (Group number 1)
Observed, endogenous variables
Q1_1
Q4_1
Q5_1
Q8_1
Q9_1
Q11_1
Q12_1
Q13_1
Q18_1
Q21_1
Q20_1
Q25_1
Q33_1
Q36_1
Q39_1
Q40_1
Q41_1
Q47_1
Q48_1
Q53_1
Q49_1
Q54_1
Q55_1
Q56_1
Q62_1
Q66_1
Q71_1
Q73_1
Q2_1
Q3_1
Q15_1
Q17_1
Q19_1
Q27_1
Q30_1
Q31_1
Q34_1
Q37_1
Q38_1
Q42_1
Q60_1
Q64_1
Q65_1
Q68_1
Q70_1
Q74_1
Q10_1
Q24_1
Q26_1
Q50_1
Q52_1
Q57_1
Q58_1
Q61_1
Q67_1
Q69_1
Q16_1
Q22_1
Q23_1
Q28_1
Q32_1
Q35_1
Q43_1
Q44_1
Q45_1
Q51_1
Q63_1
Q72_1
Q6_1
Q7_1
Q14_1
Q29_1
Q46_1
Q59_1
Unobserved, exogenous variables
e1
e2
e3
e4
e5
e6
e7
e8
e9
e11
e10
e12
e13
e14
e15
e16
e17
e18
e19
e21
e20
e22
e23
e24
e25
e26
e27
e28
e29
e30
e31
e32
e33
e34
e35
e36
e37
e38
e39
e40
e41
e42
e43
e44
e45
e46
e47
e48
e49
e50
e51
e52
e53
e54
e55
e56
e57
e58
e59
e60
e61
e62
e63
e64
e65
e66
e67
e68
e69
e70
e71
e72
e73
e74
Factor1
Factor2
Factor3
Factor4
Factor5
Variable counts (Group number 1)
Number of variables in your model: 153
Number of observed variables: 74
Number of unobserved variables: 79
Number of exogenous variables: 79
Number of endogenous variables: 74
Parameter Summary (Group number 1)
Weights Covariances Variances Means Intercepts Total
Fixed 74 0 5 0 0 79
Labeled 0 0 0 0 0 0
Unlabeled 75 10 74 0 0 159
Total 149 10 79 0 0 238
Models
Default model (Default model)
Notes for Model (Default model)
Computation of degrees of freedom (Default model)
Number of distinct sample moments: 2775
Number of distinct parameters to be estimated: 159
Degrees of freedom (2775 - 159): 2616
Result (Default model)
Minimum was achieved
Chi-square = 7773.726
Degrees of freedom = 2616
Probability level = .000
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)
Estimate S.E. C.R. P Label
Q1_1 <--- Factor1 .648 .044 14.800 *** par_1
Q4_1 <--- Factor1 .759 .048 15.834 *** par_2
Q5_1 <--- Factor1 .899 .050 17.921 *** par_3
Q8_1 <--- Factor1 .814 .045 18.189 *** par_4
Q9_1 <--- Factor1 .660 .039 16.776 *** par_5
Q11_1 <--- Factor1 .268 .041 6.622 *** par_6
Q12_1 <--- Factor1 .534 .054 9.833 *** par_7
Q13_1 <--- Factor1 .420 .037 11.467 *** par_8
Q18_1 <--- Factor1 .624 .038 16.208 *** par_9
Q20_1 <--- Factor1 .653 .045 14.531 *** par_10
Q21_1 <--- Factor1 .623 .042 14.792 *** par_11
Q25_1 <--- Factor1 .806 .051 15.811 *** par_12
Q33_1 <--- Factor1 .782 .040 19.323 *** par_13
Q36_1 <--- Factor1 .881 .041 21.566 *** par_14
Q39_1 <--- Factor1 .849 .047 18.123 *** par_15
Q40_1 <--- Factor1 .875 .047 18.694 *** par_16
Q41_1 <--- Factor1 .744 .050 14.935 *** par_17
Q47_1 <--- Factor1 .813 .040 20.412 *** par_18
Q48_1 <--- Factor1 .717 .041 17.483 *** par_19
Q49_1 <--- Factor1 .865 .044 19.697 *** par_20
Q53_1 <--- Factor1 .806 .040 19.921 *** par_21
Q54_1 <--- Factor1 .837 .039 21.428 *** par_22
Q55_1 <--- Factor1 .917 .050 18.301 *** par_23
Q56_1 <--- Factor1 .862 .040 21.769 *** par_24
Q62_1 <--- Factor1 .739 .043 17.144 *** par_25
Q66_1 <--- Factor1 .640 .043 14.819 *** par_26
Q71_1 <--- Factor1 .892 .047 18.941 *** par_27
Q73_1 <--- Factor1 .882 .044 20.001 *** par_28
Q34_1 <--- Factor2 .596 .035 17.122 *** par_29
Q31_1 <--- Factor2 .827 .049 17.024 *** par_30
Q30_1 <--- Factor2 .666 .069 9.594 *** par_31
Q27_1 <--- Factor2 .671 .047 14.279 *** par_32
Q19_1 <--- Factor2 .501 .034 14.735 *** par_33
Q17_1 <--- Factor2 .444 .037 11.864 *** par_34
Q15_1 <--- Factor2 .690 .040 17.347 *** par_35
Q3_1 <--- Factor2 .830 .048 17.366 *** par_36
Q2_1 <--- Factor2 .495 .051 9.729 *** par_37
Q37_1 <--- Factor2 .614 .034 17.937 *** par_38
Q38_1 <--- Factor2 .585 .046 12.690 *** par_39
Q42_1 <--- Factor2 .684 .035 19.653 *** par_40
Q60_1 <--- Factor2 .731 .042 17.339 *** par_41
Q64_1 <--- Factor2 .669 .040 16.705 *** par_42
Q65_1 <--- Factor2 .710 .049 14.569 *** par_43
Q68_1 <--- Factor2 .806 .038 21.405 *** par_44
Q70_1 <--- Factor2 .912 .057 16.132 *** par_45
Q74_1 <--- Factor2 .859 .043 20.034 *** par_46
Q52_1 <--- Factor3 .933 .049 19.154 *** par_47
Q50_1 <--- Factor3 .494 .055 8.961 *** par_48
Q26_1 <--- Factor3 .946 .046 20.682 *** par_49
Q24_1 <--- Factor3 .856 .055 15.618 *** par_50
Q10_1 <--- Factor3 1.096 .057 19.183 *** par_51
Q57_1 <--- Factor3 .744 .071 10.440 *** par_52
Q58_1 <--- Factor3 1.126 .057 19.737 *** par_53
Q61_1 <--- Factor3 .953 .049 19.388 *** par_54
Q67_1 <--- Factor3 1.256 .048 26.172 *** par_55
Q69_1 <--- Factor3 1.133 .045 25.016 *** par_56
Q35_1 <--- Factor4 .777 .040 19.285 *** par_57
Q32_1 <--- Factor4 .590 .032 18.214 *** par_58
Q28_1 <--- Factor4 .529 .034 15.547 *** par_59
Q23_1 <--- Factor4 .636 .043 14.671 *** par_60
Q22_1 <--- Factor4 .597 .039 15.449 *** par_61
Q16_1 <--- Factor4 .874 .043 20.156 *** par_62
Q43_1 <--- Factor4 .816 .034 23.691 *** par_63
Q44_1 <--- Factor4 .535 .034 15.945 *** par_64
Q45_1 <--- Factor4 .797 .034 23.205 *** par_65
Q51_1 <--- Factor4 .766 .037 20.616 *** par_66
Q63_1 <--- Factor4 .683 .039 17.638 *** par_67
Q72_1 <--- Factor4 .732 .042 17.580 *** par_68
Q14_1 <--- Factor5 .652 .040 16.280 *** par_69
Q29_1 <--- Factor5 .659 .043 15.235 *** par_70
Q7_1 <--- Factor5 .739 .052 14.329 *** par_71
Q6_1 <--- Factor5 .723 .057 12.595 *** par_72
Q46_1 <--- Factor5 .838 .043 19.311 *** par_73
Q59_1 <--- Factor5 .819 .049 16.815 *** par_74
Q11_1 <--- Factor5 .435 .044 9.964 *** par_85
Standardized Regression Weights: (Group number 1 - Default model)
Estimate
Q1_1 <--- Factor1 .605
Q4_1 <--- Factor1 .638
Q5_1 <--- Factor1 .702
Q8_1 <--- Factor1 .710
Q9_1 <--- Factor1 .668
Q11_1 <--- Factor1 .284
Q12_1 <--- Factor1 .425
Q13_1 <--- Factor1 .487
Q18_1 <--- Factor1 .650
Q20_1 <--- Factor1 .596
Q21_1 <--- Factor1 .605
Q25_1 <--- Factor1 .638
Q33_1 <--- Factor1 .742
Q36_1 <--- Factor1 .801
Q39_1 <--- Factor1 .708
Q40_1 <--- Factor1 .724
Q41_1 <--- Factor1 .609
Q47_1 <--- Factor1 .771
Q48_1 <--- Factor1 .689
Q49_1 <--- Factor1 .752
Q53_1 <--- Factor1 .758
Q54_1 <--- Factor1 .797
Q55_1 <--- Factor1 .713
Q56_1 <--- Factor1 .806
Q62_1 <--- Factor1 .679
Q66_1 <--- Factor1 .605
Q71_1 <--- Factor1 .731
Q73_1 <--- Factor1 .760
Q34_1 <--- Factor2 .684
Q31_1 <--- Factor2 .681
Q30_1 <--- Factor2 .420
Q27_1 <--- Factor2 .593
Q19_1 <--- Factor2 .608
Q17_1 <--- Factor2 .507
Q15_1 <--- Factor2 .691
Q3_1 <--- Factor2 .691
Q2_1 <--- Factor2 .425
Q37_1 <--- Factor2 .708
Q38_1 <--- Factor2 .537
Q42_1 <--- Factor2 .756
Q60_1 <--- Factor2 .690
Q64_1 <--- Factor2 .671
Q65_1 <--- Factor2 .603
Q68_1 <--- Factor2 .802
Q70_1 <--- Factor2 .653
Q74_1 <--- Factor2 .766
Q52_1 <--- Factor3 .742
Q50_1 <--- Factor3 .394
Q26_1 <--- Factor3 .783
Q24_1 <--- Factor3 .636
Q10_1 <--- Factor3 .743
Q57_1 <--- Factor3 .453
Q58_1 <--- Factor3 .758
Q61_1 <--- Factor3 .748
Q67_1 <--- Factor3 .908
Q69_1 <--- Factor3 .884
Q35_1 <--- Factor4 .745
Q32_1 <--- Factor4 .715
Q28_1 <--- Factor4 .634
Q23_1 <--- Factor4 .605
Q22_1 <--- Factor4 .631
Q16_1 <--- Factor4 .769
Q43_1 <--- Factor4 .855
Q44_1 <--- Factor4 .647
Q45_1 <--- Factor4 .844
Q51_1 <--- Factor4 .781
Q63_1 <--- Factor4 .698
Q72_1 <--- Factor4 .697
Q14_1 <--- Factor5 .683
Q29_1 <--- Factor5 .649
Q7_1 <--- Factor5 .618
Q6_1 <--- Factor5 .556
Q46_1 <--- Factor5 .775
Q59_1 <--- Factor5 .700
Q11_1 <--- Factor5 .460
Covariances: (Group number 1 - Default model)
Estimate S.E. C.R. P Label
Factor1 <--> Factor5 .464 .040 11.549 *** par_75
Factor1 <--> Factor4 .735 .023 32.140 *** par_76
Factor1 <--> Factor3 .635 .029 22.008 *** par_77
Factor1 <--> Factor2 .731 .023 31.467 *** par_78
Factor2 <--> Factor5 .466 .041 11.470 *** par_79
Factor2 <--> Factor4 .725 .024 29.848 *** par_80
Factor2 <--> Factor3 .573 .033 17.427 *** par_81
Factor3 <--> Factor5 .283 .047 6.081 *** par_82
Factor3 <--> Factor4 .734 .024 31.214 *** par_83
Factor4 <--> Factor5 .339 .045 7.526 *** par_84
Correlations: (Group number 1 - Default model)
Estimate
Factor1 <--> Factor5 .464
Factor1 <--> Factor4 .735
Factor1 <--> Factor3 .635
Factor1 <--> Factor2 .731
Factor2 <--> Factor5 .466
Factor2 <--> Factor4 .725
Factor2 <--> Factor3 .573
Factor3 <--> Factor5 .283
Factor3 <--> Factor4 .734
Factor4 <--> Factor5 .339
Variances: (Group number 1 - Default model)
Estimate S.E. C.R. P Label
Factor5 1.000
Factor4 1.000
Factor3 1.000
Factor2 1.000
Factor1 1.000
e1 .729 .047 15.536 *** par_86
e2 .837 .054 15.474 *** par_87
e3 .831 .054 15.314 *** par_88
e4 .652 .043 15.290 *** par_89
e5 .541 .035 15.408 *** par_90
e6 .525 .036 14.761 *** par_91
e7 1.297 .082 15.736 *** par_92
e8 .566 .036 15.685 *** par_93
e9 .531 .034 15.449 *** par_94
e11 .674 .043 15.536 *** par_95
e10 .774 .050 15.551 *** par_96
e12 .947 .061 15.475 *** par_97
e13 .499 .033 15.173 *** par_98
e14 .434 .029 14.859 *** par_99
e15 .716 .047 15.296 *** par_100
e16 .694 .046 15.241 *** par_101
e17 .938 .060 15.528 *** par_102
e18 .450 .030 15.037 *** par_103
e19 .568 .037 15.352 *** par_104
e21 .480 .032 15.102 *** par_105
e20 .574 .038 15.129 *** par_106
e22 .401 .027 14.882 *** par_107
e23 .813 .053 15.279 *** par_108
e24 .401 .027 14.822 *** par_109
e25 .638 .042 15.380 *** par_110
e26 .708 .046 15.535 *** par_111
e27 .691 .045 15.215 *** par_112
e28 .567 .038 15.092 *** par_113
e29 1.107 .071 15.641 *** par_114
e30 .754 .050 14.954 *** par_115
e31 .522 .035 14.957 *** par_116
e32 .569 .037 15.517 *** par_117
e33 .428 .028 15.279 *** par_118
e34 .831 .054 15.324 *** par_119
e35 2.072 .132 15.647 *** par_120
e36 .791 .053 15.004 *** par_121
e37 .404 .027 14.990 *** par_122
e38 .375 .025 14.865 *** par_123
e39 .843 .055 15.458 *** par_124
e40 .350 .024 14.538 *** par_125
e41 .587 .039 14.959 *** par_126
e42 .546 .036 15.049 *** par_127
e43 .883 .058 15.296 *** par_128
e44 .361 .026 14.078 *** par_129
e45 1.116 .074 15.123 *** par_130
e46 .519 .036 14.450 *** par_131
e47 .977 .066 14.716 *** par_132
e48 1.079 .071 15.229 *** par_133
e49 .566 .039 14.386 *** par_134
e50 1.326 .084 15.689 *** par_135
e51 .711 .048 14.721 *** par_136
e52 2.148 .138 15.621 *** par_137
e53 .941 .064 14.604 *** par_138
e54 .714 .049 14.676 *** par_139
e55 .337 .029 11.453 *** par_140
e56 .359 .029 12.489 *** par_141
e57 .529 .036 14.520 *** par_142
e58 .540 .035 15.249 *** par_143
e59 .700 .046 15.325 *** par_144
e60 .417 .027 15.238 *** par_145
e61 .332 .022 14.890 *** par_146
e62 .483 .033 14.702 *** par_147
e63 .245 .018 13.335 *** par_148
e64 .399 .026 15.195 *** par_149
e65 .257 .019 13.561 *** par_150
e66 .376 .026 14.412 *** par_151
e67 .489 .033 14.978 *** par_152
e68 .568 .038 14.987 *** par_153
e69 1.168 .080 14.632 *** par_154
e70 .883 .062 14.157 *** par_155
e71 .486 .036 13.437 *** par_156
e72 .596 .043 13.852 *** par_157
e73 .465 .040 11.675 *** par_158
e74 .696 .053 13.194 *** par_159
Squared Multiple Correlations: (Group number 1 - Default model)
Estimate
Q59_1 .490
Q46_1 .601
Q29_1 .421
Q14_1 .467
Q7_1 .382
Q6_1 .309
Q72_1 .485
Q63_1 .488
Q51_1 .610
Q45_1 .712
Q44_1 .418
Q43_1 .731
Q35_1 .556
Q32_1 .512
Q28_1 .402
Q23_1 .366
Q22_1 .398
Q16_1 .591
Q69_1 .781
Q67_1 .824
Q61_1 .560
Q58_1 .574
Q57_1 .205
Q52_1 .550
Q50_1 .155
Q26_1 .612
Q24_1 .405
Q10_1 .551
Q74_1 .587
Q70_1 .427
Q68_1 .643
Q65_1 .363
Q64_1 .450
Q60_1 .477
Q42_1 .572
Q38_1 .289
Q37_1 .501
Q34_1 .468
Q31_1 .464
Q30_1 .176
Q27_1 .351
Q19_1 .370
Q17_1 .257
Q15_1 .477
Q3_1 .478
Q2_1 .181
Q73_1 .578
Q71_1 .535
Q66_1 .367
Q62_1 .461
Q56_1 .649
Q55_1 .509
Q54_1 .636
Q49_1 .566
Q53_1 .575
Q48_1 .475
Q47_1 .595
Q41_1 .371
Q40_1 .525
Q39_1 .501
Q36_1 .641
Q33_1 .551
Q25_1 .407
Q20_1 .355
Q21_1 .366
Q18_1 .423
Q13_1 .238
Q12_1 .180
Q11_1 .413
Q9_1 .446
Q8_1 .504
Q5_1 .493
Q4_1 .408
Q1_1 .366
Matrices (Group number 1 - Default model)
Total Effects (Group number 1 - Default model)
Factor5 Factor4 Factor3 Factor2 Factor1
Q59_1 .819 .000 .000 .000 .000
Q46_1 .838 .000 .000 .000 .000
Q29_1 .659 .000 .000 .000 .000
Q14_1 .652 .000 .000 .000 .000
Q7_1 .739 .000 .000 .000 .000
Q6_1 .723 .000 .000 .000 .000
Q72_1 .000 .732 .000 .000 .000
Q63_1 .000 .683 .000 .000 .000
Q51_1 .000 .766 .000 .000 .000
Q45_1 .000 .797 .000 .000 .000
Q44_1 .000 .535 .000 .000 .000
Q43_1 .000 .816 .000 .000 .000
Q35_1 .000 .777 .000 .000 .000
Q32_1 .000 .590 .000 .000 .000
Q28_1 .000 .529 .000 .000 .000
Q23_1 .000 .636 .000 .000 .000
Q22_1 .000 .597 .000 .000 .000
Q16_1 .000 .874 .000 .000 .000
Q69_1 .000 .000 1.133 .000 .000
Q67_1 .000 .000 1.256 .000 .000
Q61_1 .000 .000 .953 .000 .000
Q58_1 .000 .000 1.126 .000 .000
Q57_1 .000 .000 .744 .000 .000
Q52_1 .000 .000 .933 .000 .000
Q50_1 .000 .000 .494 .000 .000
Q26_1 .000 .000 .946 .000 .000
Q24_1 .000 .000 .856 .000 .000
Q10_1 .000 .000 1.096 .000 .000
Q74_1 .000 .000 .000 .859 .000
Q70_1 .000 .000 .000 .912 .000
Q68_1 .000 .000 .000 .806 .000
Q65_1 .000 .000 .000 .710 .000
Q64_1 .000 .000 .000 .669 .000
Q60_1 .000 .000 .000 .731 .000
Q42_1 .000 .000 .000 .684 .000
Q38_1 .000 .000 .000 .585 .000
Q37_1 .000 .000 .000 .614 .000
Q34_1 .000 .000 .000 .596 .000
Q31_1 .000 .000 .000 .827 .000
Q30_1 .000 .000 .000 .666 .000
Q27_1 .000 .000 .000 .671 .000
Q19_1 .000 .000 .000 .501 .000
Q17_1 .000 .000 .000 .444 .000
Q15_1 .000 .000 .000 .690 .000
Q3_1 .000 .000 .000 .830 .000
Q2_1 .000 .000 .000 .495 .000
Q73_1 .000 .000 .000 .000 .882
Q71_1 .000 .000 .000 .000 .892
Q66_1 .000 .000 .000 .000 .640
Q62_1 .000 .000 .000 .000 .739
Q56_1 .000 .000 .000 .000 .862
Q55_1 .000 .000 .000 .000 .917
Q54_1 .000 .000 .000 .000 .837
Q49_1 .000 .000 .000 .000 .865
Q53_1 .000 .000 .000 .000 .806
Q48_1 .000 .000 .000 .000 .717
Q47_1 .000 .000 .000 .000 .813
Q41_1 .000 .000 .000 .000 .744
Q40_1 .000 .000 .000 .000 .875
Q39_1 .000 .000 .000 .000 .849
Q36_1 .000 .000 .000 .000 .881
Q33_1 .000 .000 .000 .000 .782
Q25_1 .000 .000 .000 .000 .806
Q20_1 .000 .000 .000 .000 .653
Q21_1 .000 .000 .000 .000 .623
Q18_1 .000 .000 .000 .000 .624
Q13_1 .000 .000 .000 .000 .420
Q12_1 .000 .000 .000 .000 .534
Q11_1 .435 .000 .000 .000 .268
Q9_1 .000 .000 .000 .000 .660
Q8_1 .000 .000 .000 .000 .814
Q5_1 .000 .000 .000 .000 .899
Q4_1 .000 .000 .000 .000 .759
Q1_1 .000 .000 .000 .000 .648
Standardized Total Effects (Group number 1 - Default model)
Factor5 Factor4 Factor3 Factor2 Factor1
Q59_1 .700 .000 .000 .000 .000
Q46_1 .775 .000 .000 .000 .000
Q29_1 .649 .000 .000 .000 .000
Q14_1 .683 .000 .000 .000 .000
Q7_1 .618 .000 .000 .000 .000
Q6_1 .556 .000 .000 .000 .000
Q72_1 .000 .697 .000 .000 .000
Q63_1 .000 .698 .000 .000 .000
Q51_1 .000 .781 .000 .000 .000
Q45_1 .000 .844 .000 .000 .000
Q44_1 .000 .647 .000 .000 .000
Q43_1 .000 .855 .000 .000 .000
Q35_1 .000 .745 .000 .000 .000
Q32_1 .000 .715 .000 .000 .000
Q28_1 .000 .634 .000 .000 .000
Q23_1 .000 .605 .000 .000 .000
Q22_1 .000 .631 .000 .000 .000
Q16_1 .000 .769 .000 .000 .000
Q69_1 .000 .000 .884 .000 .000
Q67_1 .000 .000 .908 .000 .000
Q61_1 .000 .000 .748 .000 .000
Q58_1 .000 .000 .758 .000 .000
Q57_1 .000 .000 .453 .000 .000
Q52_1 .000 .000 .742 .000 .000
Q50_1 .000 .000 .394 .000 .000
Q26_1 .000 .000 .783 .000 .000
Q24_1 .000 .000 .636 .000 .000
Q10_1 .000 .000 .743 .000 .000
Q74_1 .000 .000 .000 .766 .000
Q70_1 .000 .000 .000 .653 .000
Q68_1 .000 .000 .000 .802 .000
Q65_1 .000 .000 .000 .603 .000
Q64_1 .000 .000 .000 .671 .000
Q60_1 .000 .000 .000 .690 .000
Q42_1 .000 .000 .000 .756 .000
Q38_1 .000 .000 .000 .537 .000
Q37_1 .000 .000 .000 .708 .000
Q34_1 .000 .000 .000 .684 .000
Q31_1 .000 .000 .000 .681 .000
Q30_1 .000 .000 .000 .420 .000
Q27_1 .000 .000 .000 .593 .000
Q19_1 .000 .000 .000 .608 .000
Q17_1 .000 .000 .000 .507 .000
Q15_1 .000 .000 .000 .691 .000
Q3_1 .000 .000 .000 .691 .000
Q2_1 .000 .000 .000 .425 .000
Q73_1 .000 .000 .000 .000 .760
Q71_1 .000 .000 .000 .000 .731
Q66_1 .000 .000 .000 .000 .605
Q62_1 .000 .000 .000 .000 .679
Q56_1 .000 .000 .000 .000 .806
Q55_1 .000 .000 .000 .000 .713
Q54_1 .000 .000 .000 .000 .797
Q49_1 .000 .000 .000 .000 .752
Q53_1 .000 .000 .000 .000 .758
Q48_1 .000 .000 .000 .000 .689
Q47_1 .000 .000 .000 .000 .771
Q41_1 .000 .000 .000 .000 .609
Q40_1 .000 .000 .000 .000 .724
Q39_1 .000 .000 .000 .000 .708
Q36_1 .000 .000 .000 .000 .801
Q33_1 .000 .000 .000 .000 .742
Q25_1 .000 .000 .000 .000 .638
Q20_1 .000 .000 .000 .000 .596
Q21_1 .000 .000 .000 .000 .605
Q18_1 .000 .000 .000 .000 .650
Q13_1 .000 .000 .000 .000 .487
Q12_1 .000 .000 .000 .000 .425
Q11_1 .460 .000 .000 .000 .284
Q9_1 .000 .000 .000 .000 .668
Q8_1 .000 .000 .000 .000 .710
Q5_1 .000 .000 .000 .000 .702
Q4_1 .000 .000 .000 .000 .638
Q1_1 .000 .000 .000 .000 .605
Direct Effects (Group number 1 - Default model)
Factor5 Factor4 Factor3 Factor2 Factor1
Q59_1 .819 .000 .000 .000 .000
Q46_1 .838 .000 .000 .000 .000
Q29_1 .659 .000 .000 .000 .000
Q14_1 .652 .000 .000 .000 .000
Q7_1 .739 .000 .000 .000 .000
Q6_1 .723 .000 .000 .000 .000
Q72_1 .000 .732 .000 .000 .000
Q63_1 .000 .683 .000 .000 .000
Q51_1 .000 .766 .000 .000 .000
Q45_1 .000 .797 .000 .000 .000
Q44_1 .000 .535 .000 .000 .000
Q43_1 .000 .816 .000 .000 .000
Q35_1 .000 .777 .000 .000 .000
Q32_1 .000 .590 .000 .000 .000
Q28_1 .000 .529 .000 .000 .000
Q23_1 .000 .636 .000 .000 .000
Q22_1 .000 .597 .000 .000 .000
Q16_1 .000 .874 .000 .000 .000
Q69_1 .000 .000 1.133 .000 .000
Q67_1 .000 .000 1.256 .000 .000
Q61_1 .000 .000 .953 .000 .000
Q58_1 .000 .000 1.126 .000 .000
Q57_1 .000 .000 .744 .000 .000
Q52_1 .000 .000 .933 .000 .000
Q50_1 .000 .000 .494 .000 .000
Q26_1 .000 .000 .946 .000 .000
Q24_1 .000 .000 .856 .000 .000
Q10_1 .000 .000 1.096 .000 .000
Q74_1 .000 .000 .000 .859 .000
Q70_1 .000 .000 .000 .912 .000
Q68_1 .000 .000 .000 .806 .000
Q65_1 .000 .000 .000 .710 .000
Q64_1 .000 .000 .000 .669 .000
Q60_1 .000 .000 .000 .731 .000
Q42_1 .000 .000 .000 .684 .000
Q38_1 .000 .000 .000 .585 .000
Q37_1 .000 .000 .000 .614 .000
Q34_1 .000 .000 .000 .596 .000
Q31_1 .000 .000 .000 .827 .000
Q30_1 .000 .000 .000 .666 .000
Q27_1 .000 .000 .000 .671 .000
Q19_1 .000 .000 .000 .501 .000
Q17_1 .000 .000 .000 .444 .000
Q15_1 .000 .000 .000 .690 .000
Q3_1 .000 .000 .000 .830 .000
Q2_1 .000 .000 .000 .495 .000
Q73_1 .000 .000 .000 .000 .882
Q71_1 .000 .000 .000 .000 .892
Q66_1 .000 .000 .000 .000 .640
Q62_1 .000 .000 .000 .000 .739
Q56_1 .000 .000 .000 .000 .862
Q55_1 .000 .000 .000 .000 .917
Q54_1 .000 .000 .000 .000 .837
Q49_1 .000 .000 .000 .000 .865
Q53_1 .000 .000 .000 .000 .806
Q48_1 .000 .000 .000 .000 .717
Q47_1 .000 .000 .000 .000 .813
Q41_1 .000 .000 .000 .000 .744
Q40_1 .000 .000 .000 .000 .875
Q39_1 .000 .000 .000 .000 .849
Q36_1 .000 .000 .000 .000 .881
Q33_1 .000 .000 .000 .000 .782
Q25_1 .000 .000 .000 .000 .806
Q20_1 .000 .000 .000 .000 .653
Q21_1 .000 .000 .000 .000 .623
Q18_1 .000 .000 .000 .000 .624
Q13_1 .000 .000 .000 .000 .420
Q12_1 .000 .000 .000 .000 .534
Q11_1 .435 .000 .000 .000 .268
Q9_1 .000 .000 .000 .000 .660
Q8_1 .000 .000 .000 .000 .814
Q5_1 .000 .000 .000 .000 .899
Q4_1 .000 .000 .000 .000 .759
Q1_1 .000 .000 .000 .000 .648
Standardized Direct Effects (Group number 1 - Default model)
Factor5 Factor4 Factor3 Factor2 Factor1
Q59_1 .700 .000 .000 .000 .000
Q46_1 .775 .000 .000 .000 .000
Q29_1 .649 .000 .000 .000 .000
Q14_1 .683 .000 .000 .000 .000
Q7_1 .618 .000 .000 .000 .000
Q6_1 .556 .000 .000 .000 .000
Q72_1 .000 .697 .000 .000 .000
Q63_1 .000 .698 .000 .000 .000
Q51_1 .000 .781 .000 .000 .000
Q45_1 .000 .844 .000 .000 .000
Q44_1 .000 .647 .000 .000 .000
Q43_1 .000 .855 .000 .000 .000
Q35_1 .000 .745 .000 .000 .000
Q32_1 .000 .715 .000 .000 .000
Q28_1 .000 .634 .000 .000 .000
Q23_1 .000 .605 .000 .000 .000
Q22_1 .000 .631 .000 .000 .000
Q16_1 .000 .769 .000 .000 .000
Q69_1 .000 .000 .884 .000 .000
Q67_1 .000 .000 .908 .000 .000
Q61_1 .000 .000 .748 .000 .000
Q58_1 .000 .000 .758 .000 .000
Q57_1 .000 .000 .453 .000 .000
Q52_1 .000 .000 .742 .000 .000
Q50_1 .000 .000 .394 .000 .000
Q26_1 .000 .000 .783 .000 .000
Q24_1 .000 .000 .636 .000 .000
Q10_1 .000 .000 .743 .000 .000
Q74_1 .000 .000 .000 .766 .000
Q70_1 .000 .000 .000 .653 .000
Q68_1 .000 .000 .000 .802 .000
Q65_1 .000 .000 .000 .603 .000
Q64_1 .000 .000 .000 .671 .000
Q60_1 .000 .000 .000 .690 .000
Q42_1 .000 .000 .000 .756 .000
Q38_1 .000 .000 .000 .537 .000
Q37_1 .000 .000 .000 .708 .000
Q34_1 .000 .000 .000 .684 .000
Q31_1 .000 .000 .000 .681 .000
Q30_1 .000 .000 .000 .420 .000
Q27_1 .000 .000 .000 .593 .000
Q19_1 .000 .000 .000 .608 .000
Q17_1 .000 .000 .000 .507 .000
Q15_1 .000 .000 .000 .691 .000
Q3_1 .000 .000 .000 .691 .000
Q2_1 .000 .000 .000 .425 .000
Q73_1 .000 .000 .000 .000 .760
Q71_1 .000 .000 .000 .000 .731
Q66_1 .000 .000 .000 .000 .605
Q62_1 .000 .000 .000 .000 .679
Q56_1 .000 .000 .000 .000 .806
Q55_1 .000 .000 .000 .000 .713
Q54_1 .000 .000 .000 .000 .797
Q49_1 .000 .000 .000 .000 .752
Q53_1 .000 .000 .000 .000 .758
Q48_1 .000 .000 .000 .000 .689
Q47_1 .000 .000 .000 .000 .771
Q41_1 .000 .000 .000 .000 .609
Q40_1 .000 .000 .000 .000 .724
Q39_1 .000 .000 .000 .000 .708
Q36_1 .000 .000 .000 .000 .801
Q33_1 .000 .000 .000 .000 .742
Q25_1 .000 .000 .000 .000 .638
Q20_1 .000 .000 .000 .000 .596
Q21_1 .000 .000 .000 .000 .605
Q18_1 .000 .000 .000 .000 .650
Q13_1 .000 .000 .000 .000 .487
Q12_1 .000 .000 .000 .000 .425
Q11_1 .460 .000 .000 .000 .284
Q9_1 .000 .000 .000 .000 .668
Q8_1 .000 .000 .000 .000 .710
Q5_1 .000 .000 .000 .000 .702
Q4_1 .000 .000 .000 .000 .638
Q1_1 .000 .000 .000 .000 .605
Indirect Effects (Group number 1 - Default model)
Factor5 Factor4 Factor3 Factor2 Factor1
Q59_1 .000 .000 .000 .000 .000
Q46_1 .000 .000 .000 .000 .000
Q29_1 .000 .000 .000 .000 .000
Q14_1 .000 .000 .000 .000 .000
Q7_1 .000 .000 .000 .000 .000
Q6_1 .000 .000 .000 .000 .000
Q72_1 .000 .000 .000 .000 .000
Q63_1 .000 .000 .000 .000 .000
Q51_1 .000 .000 .000 .000 .000
Q45_1 .000 .000 .000 .000 .000
Q44_1 .000 .000 .000 .000 .000
Q43_1 .000 .000 .000 .000 .000
Q35_1 .000 .000 .000 .000 .000
Q32_1 .000 .000 .000 .000 .000
Q28_1 .000 .000 .000 .000 .000
Q23_1 .000 .000 .000 .000 .000
Q22_1 .000 .000 .000 .000 .000
Q16_1 .000 .000 .000 .000 .000
Q69_1 .000 .000 .000 .000 .000
Q67_1 .000 .000 .000 .000 .000
Q61_1 .000 .000 .000 .000 .000
Q58_1 .000 .000 .000 .000 .000
Q57_1 .000 .000 .000 .000 .000
Q52_1 .000 .000 .000 .000 .000
Q50_1 .000 .000 .000 .000 .000
Q26_1 .000 .000 .000 .000 .000
Q24_1 .000 .000 .000 .000 .000
Q10_1 .000 .000 .000 .000 .000
Q74_1 .000 .000 .000 .000 .000
Q70_1 .000 .000 .000 .000 .000
Q68_1 .000 .000 .000 .000 .000
Q65_1 .000 .000 .000 .000 .000
Q64_1 .000 .000 .000 .000 .000
Q60_1 .000 .000 .000 .000 .000
Q42_1 .000 .000 .000 .000 .000
Q38_1 .000 .000 .000 .000 .000
Q37_1 .000 .000 .000 .000 .000
Q34_1 .000 .000 .000 .000 .000
Q31_1 .000 .000 .000 .000 .000
Q30_1 .000 .000 .000 .000 .000
Q27_1 .000 .000 .000 .000 .000
Q19_1 .000 .000 .000 .000 .000
Q17_1 .000 .000 .000 .000 .000
Q15_1 .000 .000 .000 .000 .000
Q3_1 .000 .000 .000 .000 .000
Q2_1 .000 .000 .000 .000 .000
Q73_1 .000 .000 .000 .000 .000
Q71_1 .000 .000 .000 .000 .000
Q66_1 .000 .000 .000 .000 .000
Q62_1 .000 .000 .000 .000 .000
Q56_1 .000 .000 .000 .000 .000
Q55_1 .000 .000 .000 .000 .000
Q54_1 .000 .000 .000 .000 .000
Q49_1 .000 .000 .000 .000 .000
Q53_1 .000 .000 .000 .000 .000
Q48_1 .000 .000 .000 .000 .000
Q47_1 .000 .000 .000 .000 .000
Q41_1 .000 .000 .000 .000 .000
Q40_1 .000 .000 .000 .000 .000
Q39_1 .000 .000 .000 .000 .000
Q36_1 .000 .000 .000 .000 .000
Q33_1 .000 .000 .000 .000 .000
Q25_1 .000 .000 .000 .000 .000
Q20_1 .000 .000 .000 .000 .000
Q21_1 .000 .000 .000 .000 .000
Q18_1 .000 .000 .000 .000 .000
Q13_1 .000 .000 .000 .000 .000
Q12_1 .000 .000 .000 .000 .000
Q11_1 .000 .000 .000 .000 .000
Q9_1 .000 .000 .000 .000 .000
Q8_1 .000 .000 .000 .000 .000
Q5_1 .000 .000 .000 .000 .000
Q4_1 .000 .000 .000 .000 .000
Q1_1 .000 .000 .000 .000 .000
Standardized Indirect Effects (Group number 1 - Default model)
Factor5 Factor4 Factor3 Factor2 Factor1
Q59_1 .000 .000 .000 .000 .000
Q46_1 .000 .000 .000 .000 .000
Q29_1 .000 .000 .000 .000 .000
Q14_1 .000 .000 .000 .000 .000
Q7_1 .000 .000 .000 .000 .000
Q6_1 .000 .000 .000 .000 .000
Q72_1 .000 .000 .000 .000 .000
Q63_1 .000 .000 .000 .000 .000
Q51_1 .000 .000 .000 .000 .000
Q45_1 .000 .000 .000 .000 .000
Q44_1 .000 .000 .000 .000 .000
Q43_1 .000 .000 .000 .000 .000
Q35_1 .000 .000 .000 .000 .000
Q32_1 .000 .000 .000 .000 .000
Q28_1 .000 .000 .000 .000 .000
Q23_1 .000 .000 .000 .000 .000
Q22_1 .000 .000 .000 .000 .000
Q16_1 .000 .000 .000 .000 .000
Q69_1 .000 .000 .000 .000 .000
Q67_1 .000 .000 .000 .000 .000
Q61_1 .000 .000 .000 .000 .000
Q58_1 .000 .000 .000 .000 .000
Q57_1 .000 .000 .000 .000 .000
Q52_1 .000 .000 .000 .000 .000
Q50_1 .000 .000 .000 .000 .000
Q26_1 .000 .000 .000 .000 .000
Q24_1 .000 .000 .000 .000 .000
Q10_1 .000 .000 .000 .000 .000
Q74_1 .000 .000 .000 .000 .000
Q70_1 .000 .000 .000 .000 .000
Q68_1 .000 .000 .000 .000 .000
Q65_1 .000 .000 .000 .000 .000
Q64_1 .000 .000 .000 .000 .000
Q60_1 .000 .000 .000 .000 .000
Q42_1 .000 .000 .000 .000 .000
Q38_1 .000 .000 .000 .000 .000
Q37_1 .000 .000 .000 .000 .000
Q34_1 .000 .000 .000 .000 .000
Q31_1 .000 .000 .000 .000 .000
Q30_1 .000 .000 .000 .000 .000
Q27_1 .000 .000 .000 .000 .000
Q19_1 .000 .000 .000 .000 .000
Q17_1 .000 .000 .000 .000 .000
Q15_1 .000 .000 .000 .000 .000
Q3_1 .000 .000 .000 .000 .000
Q2_1 .000 .000 .000 .000 .000
Q73_1 .000 .000 .000 .000 .000
Q71_1 .000 .000 .000 .000 .000
Q66_1 .000 .000 .000 .000 .000
Q62_1 .000 .000 .000 .000 .000
Q56_1 .000 .000 .000 .000 .000
Q55_1 .000 .000 .000 .000 .000
Q54_1 .000 .000 .000 .000 .000
Q49_1 .000 .000 .000 .000 .000
Q53_1 .000 .000 .000 .000 .000
Q48_1 .000 .000 .000 .000 .000
Q47_1 .000 .000 .000 .000 .000
Q41_1 .000 .000 .000 .000 .000
Q40_1 .000 .000 .000 .000 .000
Q39_1 .000 .000 .000 .000 .000
Q36_1 .000 .000 .000 .000 .000
Q33_1 .000 .000 .000 .000 .000
Q25_1 .000 .000 .000 .000 .000
Q20_1 .000 .000 .000 .000 .000
Q21_1 .000 .000 .000 .000 .000
Q18_1 .000 .000 .000 .000 .000
Q13_1 .000 .000 .000 .000 .000
Q12_1 .000 .000 .000 .000 .000
Q11_1 .000 .000 .000 .000 .000
Q9_1 .000 .000 .000 .000 .000
Q8_1 .000 .000 .000 .000 .000
Q5_1 .000 .000 .000 .000 .000
Q4_1 .000 .000 .000 .000 .000
Q1_1 .000 .000 .000 .000 .000
Modification Indices (Group number 1 - Default model)
Covariances: (Group number 1 - Default model)
M.I. Par Change
e74 <--> Factor2 9.408 .083
e74 <--> Factor1 7.706 -.071
e73 <--> Factor1 5.368 .051
e72 <--> Factor5 5.386 -.081
e72 <--> Factor4 14.211 .085
e72 <--> Factor1 6.336 .058
e72 <--> e74 16.319 -.131
e71 <--> Factor1 5.817 -.051
e71 <--> e74 5.007 .066
e70 <--> Factor3 12.358 .112
e70 <--> Factor2 11.406 -.100
e70 <--> e71 5.959 -.079
e69 <--> Factor4 11.868 -.106
e69 <--> Factor2 6.783 .088
e69 <--> e74 7.491 .122
e69 <--> e72 13.035 -.146
e69 <--> e70 8.453 .142
e68 <--> Factor4 10.640 -.069
e68 <--> Factor1 17.945 .093
e68 <--> e70 4.276 .070
e67 <--> Factor4 4.741 -.043
e67 <--> Factor3 4.989 -.052
e67 <--> Factor1 12.761 .073
e67 <--> e68 29.841 .135
e66 <--> Factor4 4.551 -.037
e66 <--> Factor3 23.882 .101
e66 <--> e68 10.547 -.072
e65 <--> e68 6.423 -.047
e64 <--> Factor1 10.643 -.059
e64 <--> e73 8.537 -.065
e64 <--> e71 14.831 .083
e64 <--> e70 6.958 -.075
e64 <--> e65 6.309 .039
e63 <--> Factor1 11.648 -.052
e63 <--> e68 15.065 -.072
e63 <--> e66 22.271 .072
e63 <--> e65 48.260 .089
e62 <--> Factor4 7.454 .054
e62 <--> e67 11.317 -.077
e62 <--> e66 12.919 -.074
e62 <--> e65 6.806 -.045
e61 <--> Factor4 12.138 .056
e61 <--> Factor3 15.646 -.076
e61 <--> e72 4.854 .048
e61 <--> e70 4.662 -.056
e61 <--> e66 4.663 -.037
e61 <--> e65 6.999 -.038
e61 <--> e63 15.028 -.055
e61 <--> e62 26.861 .099
e60 <--> Factor5 6.397 .072
e60 <--> Factor4 16.736 .074
e60 <--> Factor3 6.845 -.056
e60 <--> Factor1 13.955 -.070
e60 <--> e71 6.843 .057
e60 <--> e70 9.124 -.087
e60 <--> e65 7.617 -.044
e60 <--> e64 15.413 .074
e60 <--> e63 15.369 -.062
e60 <--> e62 14.690 .081
e60 <--> e61 152.685 .215
e59 <--> Factor4 38.158 -.144
e59 <--> Factor1 86.803 .224
e59 <--> e71 4.427 -.060
e59 <--> e68 35.017 .173
e59 <--> e67 5.194 .062
e59 <--> e66 4.992 -.054
e59 <--> e65 4.975 -.046
e59 <--> e64 18.003 -.104
e59 <--> e63 18.147 -.086
e59 <--> e60 7.877 -.070
e58 <--> Factor4 9.718 .064
e58 <--> Factor2 23.789 -.110
e58 <--> e72 7.026 .072
e58 <--> e69 11.843 -.128
e58 <--> e68 4.935 .057
e58 <--> e66 12.018 -.074
e58 <--> e63 24.660 -.089
e58 <--> e62 20.331 .108
e58 <--> e61 72.954 .169
e58 <--> e60 47.538 .151
e58 <--> e59 10.832 .093
e57 <--> Factor5 7.000 -.087
e57 <--> Factor4 18.708 -.089
e57 <--> Factor3 18.140 .104
e57 <--> Factor2 10.151 .073
e57 <--> e68 12.017 -.090
e57 <--> e67 17.048 -.100
e57 <--> e64 6.318 -.055
e57 <--> e63 28.000 .095
e57 <--> e62 11.581 .083
e57 <--> e61 26.850 -.104
e57 <--> e60 14.115 -.083
e57 <--> e58 22.672 -.120
e56 <--> Factor5 4.528 .061
e56 <--> Factor4 7.555 -.050
e56 <--> Factor3 12.621 .075
e56 <--> Factor1 10.631 -.062
e56 <--> e67 4.097 -.043
e56 <--> e66 4.159 .039
e56 <--> e64 10.250 .062
e56 <--> e62 4.471 -.045
e56 <--> e61 4.092 -.036
e55 <--> Factor4 4.766 -.040
e55 <--> Factor3 14.921 .082
e55 <--> Factor1 4.563 -.041
e55 <--> e70 5.728 .071
e55 <--> e66 7.892 .054
e55 <--> e56 93.541 .186
e54 <--> Factor4 5.532 .057
e53 <--> e74 5.001 .090
e53 <--> e55 6.696 -.077
e52 <--> Factor1 6.271 .105
e52 <--> e56 5.401 -.102
e52 <--> e53 11.136 .221
e51 <--> Factor5 4.220 .077
e51 <--> Factor3 11.660 -.096
e51 <--> Factor1 6.350 .062
e51 <--> e73 12.951 .108
e51 <--> e62 5.128 .064
e51 <--> e56 4.959 -.057
e51 <--> e55 9.057 -.078
e50 <--> Factor3 9.962 -.118
e50 <--> Factor2 27.465 .183
e50 <--> e69 5.496 .135
e50 <--> e60 5.546 -.080
e50 <--> e56 10.233 -.110
e50 <--> e55 5.378 -.080
e50 <--> e52 20.320 .343
e50 <--> e51 7.428 .123
e49 <--> Factor4 23.216 .104
e49 <--> Factor3 8.189 -.072
e49 <--> Factor1 4.167 -.045
e49 <--> e67 4.978 -.056
e49 <--> e65 4.288 -.040
e49 <--> e62 16.455 .103
e49 <--> e60 6.263 .058
e48 <--> Factor4 4.794 .064
e48 <--> Factor3 15.237 -.133
e48 <--> Factor2 16.909 -.131
e48 <--> Factor1 41.787 .194
e48 <--> e74 8.407 -.123
e48 <--> e72 5.565 .091
e48 <--> e71 4.454 -.074
e48 <--> e66 18.056 -.129
e48 <--> e64 6.275 -.076
e48 <--> e59 10.739 .132
e48 <--> e56 39.873 -.198
e48 <--> e55 35.475 -.188
e48 <--> e52 6.315 .175
e48 <--> e51 10.444 .133
e48 <--> e50 5.307 .126
e47 <--> Factor5 19.533 -.195
e47 <--> Factor1 12.177 .101
e47 <--> e74 10.252 -.132
e47 <--> e58 4.793 -.075
e47 <--> e57 10.125 .110
e47 <--> e53 4.334 .096
e47 <--> e49 4.484 -.076
e47 <--> e48 88.482 .454
e46 <--> e74 8.674 .089
e46 <--> e71 8.929 -.075
e46 <--> e64 11.885 -.075
e46 <--> e61 10.017 -.063
e46 <--> e57 9.287 .077
e45 <--> Factor5 10.050 -.148
e45 <--> Factor3 6.456 .089
e45 <--> Factor2 10.285 -.104
e45 <--> Factor1 8.178 .087
e45 <--> e74 6.767 -.113
e45 <--> e61 8.436 -.083
e45 <--> e60 11.715 -.108
e45 <--> e57 4.222 .075
e45 <--> e52 13.782 .264
e45 <--> e47 8.424 .143
e44 <--> Factor4 6.026 -.043
e44 <--> Factor1 11.671 .061
e44 <--> e73 5.058 .049
e44 <--> e62 4.818 -.045
e44 <--> e61 11.629 -.057
e44 <--> e60 11.090 -.062
e44 <--> e46 19.297 .093
e43 <--> Factor2 4.034 .058
e43 <--> Factor1 6.253 -.068
e43 <--> e71 4.892 .070
e43 <--> e64 13.057 .099
e43 <--> e46 9.752 -.100
e42 <--> Factor3 4.878 -.054
e42 <--> e74 5.073 .068
e42 <--> e72 4.391 -.058
e42 <--> e68 13.436 .096
e42 <--> e67 37.078 .148
e42 <--> e62 4.494 -.052
e42 <--> e57 10.906 -.085
e42 <--> e54 6.691 .077
e42 <--> e50 5.455 .091
e42 <--> e46 7.613 -.070
e42 <--> e44 16.598 .087
e41 <--> Factor5 4.682 .073
e41 <--> Factor1 7.602 -.061
e41 <--> e71 11.573 .089
e41 <--> e67 4.348 -.053
e41 <--> e64 14.507 .086
e41 <--> e48 5.881 -.090
e41 <--> e47 4.346 -.075
e40 <--> Factor3 7.998 -.056
e40 <--> e67 5.522 .046
e40 <--> e63 5.764 .035
e40 <--> e47 12.087 -.098
e39 <--> Factor5 19.845 .179
e39 <--> e73 5.289 .074
e39 <--> e71 9.325 .094
e39 <--> e69 5.281 .106
e39 <--> e51 7.748 .101
e38 <--> Factor5 4.290 -.056
e38 <--> Factor2 12.507 .067
e38 <--> Factor1 19.127 -.078
e38 <--> e64 10.988 .060
e38 <--> e61 7.709 .046
e38 <--> e60 5.375 .043
e38 <--> e59 7.922 -.067
e38 <--> e52 4.184 -.085
e38 <--> e46 8.000 -.060
e38 <--> e44 24.264 -.088
e38 <--> e43 43.571 .177
e37 <--> Factor3 11.058 -.070
e37 <--> Factor2 12.487 .069
e37 <--> Factor1 4.011 -.037
e37 <--> e71 4.736 .047
e37 <--> e63 9.651 -.049
e37 <--> e61 11.687 .059
e37 <--> e57 10.861 -.073
e37 <--> e52 5.469 -.100
e37 <--> e46 12.532 -.077
e37 <--> e45 6.417 -.080
e37 <--> e43 34.678 .164
e37 <--> e40 4.100 .036
e37 <--> e38 59.364 .141
e36 <--> Factor5 15.835 -.157
e36 <--> Factor3 6.056 .073
e36 <--> Factor2 6.303 -.069
e36 <--> e71 20.124 -.136
e36 <--> e67 4.338 -.061
e36 <--> e64 8.445 -.076
e36 <--> e57 9.094 .093
e36 <--> e45 29.620 .239
e36 <--> e42 7.524 -.084
e36 <--> e37 9.538 -.082
e35 <--> Factor5 6.331 -.157
e35 <--> Factor3 30.215 .257
e35 <--> e74 7.237 -.156
e35 <--> e66 5.072 .093
e35 <--> e64 7.271 -.112
e35 <--> e61 4.068 -.077
e35 <--> e57 4.955 .109
e35 <--> e54 4.077 .114
e35 <--> e53 7.732 .181
e35 <--> e52 36.088 .573
e35 <--> e45 27.949 .369
e35 <--> e37 10.490 -.136
e35 <--> e36 5.883 .143
e34 <--> Factor4 7.328 .069
e34 <--> Factor2 8.268 -.080
e34 <--> e74 4.219 -.076
e34 <--> e72 4.016 .068
e34 <--> e68 5.632 -.076
e34 <--> e62 7.100 -.079
e34 <--> e60 7.494 .074
e34 <--> e51 6.516 .092
e34 <--> e43 7.530 -.108
e34 <--> e41 10.835 .107
e34 <--> e38 9.144 -.079
e34 <--> e37 7.588 -.074
e33 <--> Factor3 4.279 -.044
e33 <--> e72 8.573 .071
e33 <--> e70 4.947 -.065
e33 <--> e61 8.835 .052
e33 <--> e60 8.169 .056
e33 <--> e46 8.704 -.066
e33 <--> e44 16.163 -.076
e33 <--> e38 19.602 .083
e33 <--> e37 17.358 .081
e33 <--> e36 6.505 -.069
e32 <--> Factor4 7.660 .058
e32 <--> Factor2 12.239 -.080
e32 <--> e72 8.031 .079
e32 <--> e63 8.694 -.054
e32 <--> e58 4.448 .054
e32 <--> e48 14.617 .138
e32 <--> e46 7.437 -.070
e32 <--> e35 5.647 .117
e32 <--> e33 20.694 .103
e31 <--> Factor2 10.075 .071
e31 <--> Factor1 4.841 -.046
e31 <--> e73 10.984 -.085
e31 <--> e58 7.259 -.067
e31 <--> e57 7.133 .067
e31 <--> e45 8.494 -.104
e31 <--> e44 9.651 -.065
e31 <--> e43 6.827 .083
e31 <--> e38 39.375 .131
e31 <--> e37 4.678 .047
e31 <--> e34 9.943 -.097
e31 <--> e33 10.963 .073
e30 <--> e64 14.478 -.098
e30 <--> e46 46.839 .204
e30 <--> e42 4.512 -.064
e30 <--> e33 8.730 -.078
e30 <--> e32 7.458 -.083
e29 <--> Factor5 50.664 .325
e29 <--> Factor4 7.602 -.080
e29 <--> e73 5.393 .085
e29 <--> e72 12.054 -.134
e29 <--> e70 5.711 .111
e29 <--> e69 79.737 .471
e29 <--> e53 9.892 -.150
e29 <--> e45 7.612 -.141
e29 <--> e39 29.105 .237
e29 <--> e30 11.069 .140
e28 <--> Factor3 7.492 .068
e28 <--> Factor1 9.109 -.066
e28 <--> e73 6.406 -.067
e28 <--> e70 6.819 .088
e28 <--> e68 35.009 .158
e28 <--> e46 4.176 .053
e28 <--> e36 4.160 .064
e28 <--> e34 5.548 -.075
e27 <--> Factor3 4.455 .058
e27 <--> e72 5.818 .074
e27 <--> e71 4.329 -.059
e27 <--> e68 18.727 .127
e27 <--> e46 5.700 .068
e27 <--> e45 15.906 .163
e27 <--> e43 4.599 -.078
e27 <--> e40 6.608 -.060
e27 <--> e37 4.554 -.053
e27 <--> e28 33.793 .169
e26 <--> Factor2 6.377 .065
e26 <--> e74 4.939 .076
e26 <--> e48 5.123 -.091
e26 <--> e44 16.325 .097
e26 <--> e34 10.468 -.114
e26 <--> e27 5.715 .077
e25 <--> e74 4.175 .066
e25 <--> e72 6.648 -.076
e25 <--> e71 5.320 .062
e25 <--> e67 11.877 .090
e25 <--> e54 5.675 .075
e25 <--> e45 4.125 -.079
e25 <--> e44 22.553 .109
e25 <--> e42 13.396 .100
e25 <--> e39 4.185 -.069
e25 <--> e38 9.963 -.072
e25 <--> e36 7.975 -.093
e25 <--> e33 16.421 -.098
e24 <--> Factor4 6.499 -.046
e24 <--> Factor1 4.865 .041
e24 <--> e74 6.917 .069
e24 <--> e69 4.337 .068
e24 <--> e63 4.743 -.034
e24 <--> e57 5.753 -.053
e24 <--> e52 4.426 .091
e24 <--> e36 5.007 -.060
e24 <--> e31 10.654 -.071
e23 <--> Factor3 6.321 .075
e23 <--> Factor2 9.152 -.084
e23 <--> e70 6.263 .101
e23 <--> e66 4.586 -.056
e23 <--> e62 5.545 .069
e23 <--> e58 4.426 .064
e23 <--> e56 13.286 -.100
e23 <--> e52 17.442 .252
e23 <--> e50 9.951 .149
e23 <--> e48 19.962 .194
e23 <--> e38 5.796 -.062
e23 <--> e37 5.470 -.062
e23 <--> e33 15.203 -.106
e23 <--> e24 14.895 .103
e22 <--> Factor4 5.114 -.041
e22 <--> e66 6.030 -.046
e22 <--> e51 14.901 .098
e22 <--> e33 4.188 -.040
e22 <--> e25 7.144 .063
e22 <--> e24 16.144 .076
e20 <--> Factor2 6.057 .057
e20 <--> e73 4.070 .054
e20 <--> e56 4.227 .047
e20 <--> e35 6.142 .124
e20 <--> e29 6.678 .095
e20 <--> e26 5.961 -.072
e20 <--> e25 13.965 .105
e21 <--> Factor2 4.471 -.045
e21 <--> e51 28.294 .147
e21 <--> e50 10.101 -.116
e21 <--> e22 17.754 .087
e19 <--> Factor5 9.689 .103
e19 <--> Factor3 16.057 -.099
e19 <--> e73 12.682 .094
e19 <--> e70 4.364 -.070
e19 <--> e67 6.639 .063
e19 <--> e62 4.068 -.050
e19 <--> e61 10.074 .064
e19 <--> e57 10.285 -.083
e19 <--> e47 9.457 -.107
e19 <--> e42 15.821 .103
e19 <--> e37 4.463 .047
e19 <--> e35 17.554 -.207
e19 <--> e34 4.063 -.064
e19 <--> e33 12.215 .079
e19 <--> e30 6.943 -.080
e19 <--> e27 5.169 -.066
e19 <--> e23 8.918 -.093
e18 <--> e69 4.885 -.076
e18 <--> e46 7.423 -.063
e18 <--> e33 6.463 .052
e18 <--> e29 6.397 -.082
e18 <--> e27 11.983 -.090
e18 <--> e22 4.471 -.042
e18 <--> e19 45.317 .158
e17 <--> Factor3 5.744 .076
e17 <--> Factor2 9.166 -.089
e17 <--> e74 9.733 -.123
e17 <--> e72 4.647 .077
e17 <--> e71 6.527 -.083
e17 <--> e70 8.398 .125
e17 <--> e62 9.098 .095
e17 <--> e56 5.525 -.069
e17 <--> e55 6.952 -.077
e17 <--> e48 49.849 .326
e17 <--> e47 7.878 .125
e17 <--> e45 4.566 .101
e17 <--> e38 4.574 -.059
e17 <--> e35 19.302 .278
e17 <--> e32 11.976 .115
e17 <--> e27 13.486 .136
e17 <--> e26 5.920 -.090
e17 <--> e23 24.222 .197
e17 <--> e19 10.516 -.108
e17 <--> e18 5.212 -.069
e16 <--> Factor5 8.019 -.104
e16 <--> e56 5.517 -.059
e16 <--> e38 4.473 -.051
e16 <--> e34 6.010 .086
e16 <--> e27 6.965 -.085
e16 <--> e26 6.308 -.081
e16 <--> e25 6.580 .079
e16 <--> e23 6.200 .086
e16 <--> e20 4.098 .059
e15 <--> Factor4 6.216 .059
e15 <--> Factor3 7.019 .074
e15 <--> Factor1 11.254 -.082
e15 <--> e72 4.335 .065
e15 <--> e68 8.454 .086
e15 <--> e61 5.688 -.054
e15 <--> e59 10.272 .105
e15 <--> e51 4.642 .072
e15 <--> e45 8.384 .120
e15 <--> e44 4.762 -.053
e15 <--> e35 6.986 .147
e15 <--> e30 7.703 -.095
e15 <--> e28 25.030 .148
e15 <--> e26 4.168 -.067
e15 <--> e25 8.461 -.091
e15 <--> e22 5.229 -.057
e15 <--> e18 6.045 .065
e15 <--> e17 8.383 .109
e15 <--> e16 10.418 .105
e14 <--> Factor2 8.432 -.059
e14 <--> e74 11.868 -.094
e14 <--> e73 10.465 .076
e14 <--> e72 5.205 .057
e14 <--> e67 5.253 -.050
e14 <--> e62 18.380 .094
e14 <--> e59 4.001 .052
e14 <--> e51 10.846 .087
e14 <--> e15 6.412 .066
e13 <--> Factor2 19.895 .097
e13 <--> e65 6.845 -.046
e13 <--> e52 5.339 -.110
e13 <--> e46 5.365 .056
e13 <--> e45 9.111 -.105
e13 <--> e37 7.838 .059
e13 <--> e32 4.488 -.052
e13 <--> e30 5.809 .069
e13 <--> e29 4.443 .072
e13 <--> e28 5.076 -.056
e13 <--> e27 4.335 -.057
e13 <--> e25 4.833 .057
e13 <--> e21 5.962 -.056
e13 <--> e15 5.834 -.067
e13 <--> e14 7.662 .060
e12 <--> Factor5 4.203 -.087
e12 <--> e64 6.001 -.069
e12 <--> e59 4.524 .079
e12 <--> e51 7.954 -.108
e12 <--> e45 5.622 .112
e12 <--> e39 8.688 -.120
e12 <--> e36 5.307 .092
e12 <--> e29 5.130 -.105
e12 <--> e28 8.551 -.099
e12 <--> e27 5.546 .088
e12 <--> e26 41.054 .239
e12 <--> e23 5.658 -.096
e12 <--> e16 5.551 -.088
e12 <--> e15 5.224 -.086
e12 <--> e14 4.623 -.064
e10 <--> Factor4 15.549 .096
e10 <--> Factor1 6.039 -.062
e10 <--> e71 4.232 .061
e10 <--> e68 6.455 -.078
e10 <--> e66 7.922 .071
e10 <--> e63 5.932 .052
e10 <--> e59 4.491 -.071
e10 <--> e44 4.279 -.052
e10 <--> e39 11.679 .126
e10 <--> e35 6.785 .149
e10 <--> e34 6.501 .094
e10 <--> e33 10.046 .084
e10 <--> e32 9.080 .091
e10 <--> e31 6.083 -.073
e10 <--> e28 4.553 -.065
e10 <--> e22 13.370 -.095
e10 <--> e21 4.397 -.059
e10 <--> e17 4.806 .085
e10 <--> e12 7.740 -.108
e11 <--> Factor5 15.592 .141
e11 <--> e72 8.235 .087
e11 <--> e63 4.377 -.041
e11 <--> e59 5.955 .077
e11 <--> e58 6.371 .070
e11 <--> e47 4.280 -.078
e11 <--> e36 7.210 -.091
e11 <--> e32 14.227 .106
e11 <--> e30 5.118 -.075
e11 <--> e29 6.138 -.097
e11 <--> e26 4.844 .069
e11 <--> e16 7.063 -.083
e11 <--> e15 6.087 -.078
e11 <--> e12 4.691 .079
e9 <--> e62 4.701 -.051
e9 <--> e58 4.111 -.050
e9 <--> e40 7.401 .055
e9 <--> e33 14.927 .085
e9 <--> e32 11.869 .086
e9 <--> e30 4.496 -.062
e9 <--> e26 21.393 .129
e9 <--> e25 4.147 -.054
e9 <--> e24 7.632 -.059
e9 <--> e23 20.987 -.138
e9 <--> e22 10.410 -.069
e9 <--> e20 7.304 -.069
e9 <--> e19 4.916 .056
e9 <--> e16 18.620 -.121
e9 <--> e12 32.495 .185
e9 <--> e10 11.915 .101
e9 <--> e11 15.222 .106
e8 <--> Factor2 21.833 .106
e8 <--> Factor1 19.712 -.095
e8 <--> e71 10.725 .082
e8 <--> e64 5.763 .052
e8 <--> e62 7.292 -.066
e8 <--> e52 4.415 -.105
e8 <--> e48 14.124 -.134
e8 <--> e40 6.500 .053
e8 <--> e34 14.375 .118
e8 <--> e24 7.250 -.059
e8 <--> e23 12.547 -.110
e8 <--> e22 4.955 -.049
e8 <--> e21 8.143 -.068
e8 <--> e17 6.289 -.083
e8 <--> e16 4.887 -.063
e8 <--> e14 13.420 -.084
e8 <--> e10 10.679 .098
e8 <--> e9 25.108 .125
e7 <--> Factor3 12.780 -.132
e7 <--> Factor2 12.435 .121
e7 <--> e70 5.295 -.116
e7 <--> e67 7.644 .101
e7 <--> e47 4.615 -.112
e7 <--> e44 7.325 -.088
e7 <--> e43 17.619 .205
e7 <--> e41 4.731 -.087
e7 <--> e39 5.021 .106
e7 <--> e38 8.796 .095
e7 <--> e37 15.707 .132
e7 <--> e36 5.126 -.105
e7 <--> e35 5.195 -.168
e7 <--> e33 4.209 .070
e7 <--> e27 5.848 -.105
e7 <--> e16 6.523 .111
e7 <--> e14 6.120 -.086
e7 <--> e10 6.172 .112
e7 <--> e8 14.641 .148
e6 <--> e69 5.003 -.083
e6 <--> e53 8.169 -.096
e6 <--> e41 4.920 -.058
e6 <--> e36 5.529 -.071
e6 <--> e32 5.512 .060
e6 <--> e31 5.403 .057
e6 <--> e30 11.448 .100
e6 <--> e21 4.384 -.049
e6 <--> e7 7.068 .101
e5 <--> Factor5 12.882 .116
e5 <--> Factor3 4.835 -.053
e5 <--> e71 7.370 .067
e5 <--> e60 4.717 .048
e5 <--> e51 4.421 -.061
e5 <--> e48 4.820 -.077
e5 <--> e45 8.093 -.102
e5 <--> e36 9.831 -.095
e5 <--> e31 8.354 .071
e5 <--> e30 7.902 .083
e5 <--> e28 6.114 -.063
e5 <--> e27 16.651 -.115
e5 <--> e26 4.658 -.061
e5 <--> e25 7.288 .073
e5 <--> e23 8.871 -.091
e5 <--> e21 5.382 -.055
e5 <--> e17 4.591 -.070
e5 <--> e13 4.856 .053
e5 <--> e12 5.838 -.079
e5 <--> e6 40.049 .157
e4 <--> Factor5 5.641 -.084
e4 <--> Factor3 4.260 -.055
e4 <--> Factor1 6.209 .058
e4 <--> e73 8.478 -.082
e4 <--> e70 10.011 .114
e4 <--> e51 12.230 -.112
e4 <--> e48 4.057 -.078
e4 <--> e41 5.153 -.065
e4 <--> e39 7.486 -.093
e4 <--> e27 21.123 -.143
e4 <--> e23 7.814 -.094
e4 <--> e19 14.450 .107
e4 <--> e17 6.680 -.093
e4 <--> e8 6.608 .071
e4 <--> e7 5.047 .094
e4 <--> e5 78.050 .241
e3 <--> Factor5 7.036 -.106
e3 <--> Factor4 5.584 -.060
e3 <--> Factor2 6.729 -.072
e3 <--> Factor1 22.535 .124
e3 <--> e71 5.033 -.069
e3 <--> e69 4.350 .096
e3 <--> e64 20.785 -.122
e3 <--> e57 8.596 .092
e3 <--> e51 5.819 -.087
e3 <--> e38 5.430 -.061
e3 <--> e37 6.169 -.067
e3 <--> e36 8.745 .112
e3 <--> e33 6.278 -.069
e3 <--> e32 5.338 -.073
e3 <--> e29 4.774 .096
e3 <--> e27 6.097 .087
e3 <--> e26 18.323 .150
e3 <--> e21 5.215 -.067
e3 <--> e16 7.866 -.098
e3 <--> e15 5.674 -.085
e3 <--> e12 58.866 .312
e3 <--> e9 10.712 .100
e3 <--> e7 6.201 -.118
e3 <--> e6 4.255 -.064
e3 <--> e4 7.333 .092
e2 <--> Factor3 6.010 .073
e2 <--> e67 5.705 -.071
e2 <--> e65 5.143 -.051
e2 <--> e60 4.029 -.055
e2 <--> e57 13.653 .116
e2 <--> e48 10.642 .143
e2 <--> e47 9.374 .129
e2 <--> e43 5.061 -.089
e2 <--> e37 8.511 -.079
e2 <--> e36 9.011 .113
e2 <--> e33 4.523 -.058
e2 <--> e30 18.439 .158
e2 <--> e26 6.253 -.088
e2 <--> e23 13.557 .139
e2 <--> e19 8.985 -.095
e2 <--> e17 6.918 .106
e2 <--> e14 4.582 -.060
e2 <--> e10 4.618 .079
e2 <--> e9 6.367 -.077
e2 <--> e6 15.396 .121
e2 <--> e5 10.501 .100
e1 <--> Factor5 4.056 -.075
e1 <--> Factor3 5.224 -.064
e1 <--> Factor2 5.638 .062
e1 <--> e74 4.523 .074
e1 <--> e73 8.172 -.085
e1 <--> e72 5.264 -.072
e1 <--> e69 9.758 .134
e1 <--> e57 6.166 .072
e1 <--> e56 7.703 -.071
e1 <--> e49 6.080 .075
e1 <--> e42 4.281 -.060
e1 <--> e36 7.595 .097
e1 <--> e30 5.687 .082
e1 <--> e29 6.028 .100
e1 <--> e28 4.154 -.060
e1 <--> e26 47.312 .225
e1 <--> e25 4.576 -.067
e1 <--> e23 8.799 -.105
e1 <--> e22 4.468 -.053
e1 <--> e18 6.305 -.066
e1 <--> e14 12.023 -.091
e1 <--> e12 119.035 .413
e1 <--> e9 15.886 .113
e1 <--> e8 5.031 .065
e1 <--> e4 10.539 .103
e1 <--> e3 70.388 .299
Variances: (Group number 1 - Default model)
M.I. Par Change
Regression Weights: (Group number 1 - Default model)
M.I. Par Change
Q59_1 <--- Factor3 7.390 -.112
Q59_1 <--- Factor1 6.448 -.104
Q59_1 <--- Q29_1 8.603 -.116
Q59_1 <--- Q6_1 4.892 .068
Q59_1 <--- Q69_1 6.800 -.082
Q59_1 <--- Q67_1 6.860 -.076
Q59_1 <--- Q57_1 4.501 -.052
Q59_1 <--- Q24_1 15.024 -.116
Q59_1 <--- Q10_1 16.266 -.110
Q59_1 <--- Q30_1 5.755 -.061
Q59_1 <--- Q71_1 5.303 -.076
Q59_1 <--- Q49_1 8.566 -.102
Q59_1 <--- Q47_1 7.073 -.101
Q59_1 <--- Q41_1 15.756 -.130
Q59_1 <--- Q40_1 7.093 -.088
Q59_1 <--- Q39_1 6.177 -.083
Q59_1 <--- Q36_1 15.986 -.146
Q59_1 <--- Q33_1 9.361 -.117
Q59_1 <--- Q20_1 6.079 -.090
Q59_1 <--- Q12_1 5.038 -.072
Q59_1 <--- Q8_1 8.168 -.100
Q59_1 <--- Q5_1 7.036 -.083
Q59_1 <--- Q4_1 4.092 -.068
Q46_1 <--- Q44_1 7.295 -.112
Q46_1 <--- Q52_1 4.609 .059
Q46_1 <--- Q15_1 9.746 -.108
Q46_1 <--- Q48_1 8.667 .098
Q46_1 <--- Q36_1 5.510 .074
Q29_1 <--- Factor4 29.379 .203
Q29_1 <--- Factor3 10.180 .120
Q29_1 <--- Factor2 10.130 .119
Q29_1 <--- Factor1 21.909 .173
Q29_1 <--- Q59_1 7.283 -.084
Q29_1 <--- Q6_1 8.486 -.082
Q29_1 <--- Q72_1 18.548 .149
Q29_1 <--- Q63_1 14.530 .142
Q29_1 <--- Q51_1 10.878 .122
Q29_1 <--- Q45_1 23.191 .186
Q29_1 <--- Q44_1 14.167 .165
Q29_1 <--- Q43_1 19.001 .166
Q29_1 <--- Q35_1 19.367 .154
Q29_1 <--- Q32_1 27.704 .232
Q29_1 <--- Q28_1 21.292 .201
Q29_1 <--- Q23_1 21.735 .162
Q29_1 <--- Q22_1 28.544 .205
Q29_1 <--- Q16_1 8.417 .093
Q29_1 <--- Q69_1 8.531 .083
Q29_1 <--- Q67_1 7.046 .070
Q29_1 <--- Q52_1 7.736 .081
Q29_1 <--- Q26_1 5.542 .071
Q29_1 <--- Q24_1 14.130 .102
Q29_1 <--- Q70_1 8.191 .075
Q29_1 <--- Q60_1 10.561 .112
Q29_1 <--- Q42_1 5.504 .094
Q29_1 <--- Q34_1 5.423 .097
Q29_1 <--- Q31_1 8.256 .086
Q29_1 <--- Q30_1 6.395 .058
Q29_1 <--- Q27_1 11.687 .110
Q29_1 <--- Q19_1 17.323 .184
Q29_1 <--- Q17_1 15.870 .166
Q29_1 <--- Q73_1 20.921 .144
Q29_1 <--- Q71_1 24.771 .149
Q29_1 <--- Q56_1 12.592 .121
Q29_1 <--- Q55_1 7.199 .076
Q29_1 <--- Q54_1 20.389 .157
Q29_1 <--- Q49_1 6.246 .079
Q29_1 <--- Q53_1 18.485 .147
Q29_1 <--- Q48_1 7.487 .096
Q29_1 <--- Q47_1 12.568 .122
Q29_1 <--- Q41_1 20.206 .134
Q29_1 <--- Q40_1 8.476 .088
Q29_1 <--- Q39_1 22.111 .143
Q29_1 <--- Q36_1 25.080 .166
Q29_1 <--- Q33_1 11.069 .115
Q29_1 <--- Q25_1 6.300 .072
Q29_1 <--- Q20_1 9.296 .101
Q29_1 <--- Q21_1 25.448 .178
Q29_1 <--- Q18_1 18.574 .164
Q29_1 <--- Q12_1 8.398 .084
Q29_1 <--- Q11_1 6.112 .095
Q29_1 <--- Q9_1 8.761 .109
Q29_1 <--- Q8_1 5.290 .073
Q14_1 <--- Q44_1 8.956 .120
Q14_1 <--- Q28_1 4.397 .084
Q14_1 <--- Q24_1 5.074 -.056
Q14_1 <--- Q60_1 6.147 .078
Q14_1 <--- Q38_1 6.815 .080
Q14_1 <--- Q31_1 9.722 -.085
Q14_1 <--- Q71_1 5.786 -.066
Q14_1 <--- Q56_1 4.009 -.062
Q14_1 <--- Q41_1 8.126 -.078
Q14_1 <--- Q39_1 4.393 -.058
Q14_1 <--- Q36_1 4.370 -.063
Q14_1 <--- Q13_1 4.702 .084
Q14_1 <--- Q5_1 6.476 -.066
Q7_1 <--- Factor3 6.138 .112
Q7_1 <--- Q6_1 5.495 .079
Q7_1 <--- Q28_1 4.713 -.114
Q7_1 <--- Q69_1 5.008 .077
Q7_1 <--- Q67_1 9.310 .097
Q7_1 <--- Q61_1 4.953 .077
Q7_1 <--- Q24_1 5.672 .078
Q7_1 <--- Q64_1 4.879 -.097
Q7_1 <--- Q37_1 4.158 -.103
Q7_1 <--- Q19_1 6.947 -.141
Q7_1 <--- Q73_1 5.048 .085
Q7_1 <--- Q55_1 5.185 .078
Q7_1 <--- Q41_1 7.552 .099
Q7_1 <--- Q8_1 7.512 .105
Q6_1 <--- Factor4 8.581 -.150
Q6_1 <--- Factor1 5.179 -.115
Q6_1 <--- Q29_1 6.796 -.128
Q6_1 <--- Q7_1 4.783 .091
Q6_1 <--- Q45_1 9.644 -.164
Q6_1 <--- Q43_1 10.463 -.169
Q6_1 <--- Q32_1 10.249 -.194
Q6_1 <--- Q22_1 19.516 -.233
Q6_1 <--- Q16_1 5.055 -.099
Q6_1 <--- Q2_1 60.884 .335
Q6_1 <--- Q62_1 5.189 -.104
Q6_1 <--- Q54_1 5.338 -.110
Q6_1 <--- Q49_1 4.364 -.091
Q6_1 <--- Q53_1 4.672 -.101
Q6_1 <--- Q48_1 5.689 -.114
Q6_1 <--- Q47_1 9.587 -.146
Q6_1 <--- Q36_1 6.943 -.119
Q6_1 <--- Q20_1 4.519 -.097
Q6_1 <--- Q21_1 7.030 -.128
Q6_1 <--- Q11_1 5.295 -.121
Q6_1 <--- Q9_1 5.946 -.123
Q72_1 <--- Factor5 4.693 .081
Q72_1 <--- Factor1 9.966 .111
Q72_1 <--- Q7_1 7.770 .080
Q72_1 <--- Q63_1 14.529 .135
Q72_1 <--- Q23_1 21.529 .152
Q72_1 <--- Q16_1 4.545 -.065
Q72_1 <--- Q24_1 4.492 .054
Q72_1 <--- Q64_1 9.874 .109
Q72_1 <--- Q73_1 37.349 .182
Q72_1 <--- Q71_1 26.646 .146
Q72_1 <--- Q62_1 8.390 .092
Q72_1 <--- Q55_1 9.014 .081
Q72_1 <--- Q54_1 4.391 .069
Q72_1 <--- Q49_1 6.394 .076
Q72_1 <--- Q48_1 8.773 .098
Q72_1 <--- Q47_1 5.855 .079
Q72_1 <--- Q40_1 8.107 .081
Q72_1 <--- Q39_1 17.763 .121
Q72_1 <--- Q36_1 4.981 .070
Q72_1 <--- Q25_1 4.589 .059
Q72_1 <--- Q21_1 10.083 .106
Q72_1 <--- Q5_1 5.598 .064
Q72_1 <--- Q4_1 4.234 .060
Q63_1 <--- Factor5 5.755 .083
Q63_1 <--- Factor2 4.615 .071
Q63_1 <--- Factor1 8.381 .094
Q63_1 <--- Q14_1 4.746 .073
Q63_1 <--- Q72_1 14.604 .117
Q63_1 <--- Q35_1 4.704 -.067
Q63_1 <--- Q16_1 6.449 -.072
Q63_1 <--- Q65_1 4.445 .057
Q63_1 <--- Q64_1 33.679 .186
Q63_1 <--- Q42_1 9.318 .108
Q63_1 <--- Q34_1 6.054 .090
Q63_1 <--- Q73_1 8.676 .081
Q63_1 <--- Q62_1 19.579 .130
Q63_1 <--- Q55_1 7.914 .070
Q63_1 <--- Q54_1 5.796 .074
Q63_1 <--- Q53_1 4.184 .062
Q63_1 <--- Q48_1 14.431 .117
Q63_1 <--- Q47_1 8.301 .088
Q63_1 <--- Q41_1 4.953 .058
Q63_1 <--- Q40_1 8.487 .077
Q63_1 <--- Q33_1 5.560 .072
Q63_1 <--- Q21_1 6.592 .080
Q63_1 <--- Q18_1 4.534 .071
Q63_1 <--- Q12_1 13.706 .094
Q63_1 <--- Q11_1 9.235 .103
Q63_1 <--- Q9_1 10.107 .103
Q63_1 <--- Q8_1 10.554 .091
Q51_1 <--- Factor3 8.531 .086
Q51_1 <--- Q72_1 5.173 -.062
Q51_1 <--- Q43_1 5.182 .068
Q51_1 <--- Q35_1 5.385 -.064
Q51_1 <--- Q22_1 7.000 -.080
Q51_1 <--- Q69_1 11.322 .075
Q51_1 <--- Q67_1 12.910 .074
Q51_1 <--- Q61_1 9.079 .068
Q51_1 <--- Q58_1 8.353 .056
Q51_1 <--- Q26_1 11.280 .079
Q51_1 <--- Q30_1 4.494 .038
Q51_1 <--- Q55_1 4.073 -.045
Q51_1 <--- Q54_1 4.184 -.056
Q45_1 <--- Q43_1 11.353 .086
Q45_1 <--- Q28_1 4.415 -.061
Q45_1 <--- Q26_1 4.098 -.041
Q44_1 <--- Q14_1 5.477 .070
Q44_1 <--- Q7_1 4.997 -.054
Q44_1 <--- Q28_1 8.895 .103
Q44_1 <--- Q23_1 11.063 -.091
Q44_1 <--- Q24_1 4.196 -.044
Q44_1 <--- Q65_1 8.919 .073
Q44_1 <--- Q60_1 8.147 .077
Q44_1 <--- Q37_1 5.996 .081
Q44_1 <--- Q30_1 5.412 -.042
Q44_1 <--- Q3_1 6.260 -.060
Q44_1 <--- Q71_1 4.945 -.052
Q44_1 <--- Q41_1 5.166 -.053
Q44_1 <--- Q36_1 5.751 -.063
Q44_1 <--- Q33_1 4.285 -.056
Q44_1 <--- Q25_1 9.061 -.068
Q44_1 <--- Q5_1 19.829 -.100
Q44_1 <--- Q4_1 4.870 -.053
Q44_1 <--- Q1_1 5.136 -.061
Q43_1 <--- Factor1 5.184 -.055
Q43_1 <--- Q6_1 4.732 -.040
Q43_1 <--- Q72_1 7.421 -.062
Q43_1 <--- Q51_1 8.078 .069
Q43_1 <--- Q45_1 12.333 .089
Q43_1 <--- Q32_1 6.993 -.077
Q43_1 <--- Q28_1 8.915 -.086
Q43_1 <--- Q23_1 11.201 -.076
Q43_1 <--- Q22_1 14.407 -.096
Q43_1 <--- Q16_1 10.701 .069
Q43_1 <--- Q34_1 5.419 -.064
Q43_1 <--- Q17_1 6.783 -.071
Q43_1 <--- Q73_1 4.248 -.043
Q43_1 <--- Q56_1 9.312 -.068
Q43_1 <--- Q55_1 5.038 -.042
Q43_1 <--- Q48_1 6.412 -.058
Q43_1 <--- Q47_1 6.987 -.060
Q43_1 <--- Q40_1 4.471 -.042
Q43_1 <--- Q21_1 9.018 -.070
Q43_1 <--- Q11_1 5.996 -.062
Q43_1 <--- Q9_1 6.579 -.062
Q43_1 <--- Q8_1 4.389 -.044
Q35_1 <--- Q63_1 5.516 -.077
Q35_1 <--- Q51_1 4.642 -.071
Q35_1 <--- Q32_1 12.422 .137
Q35_1 <--- Q28_1 8.488 .112
Q35_1 <--- Q22_1 11.832 .117
Q35_1 <--- Q16_1 4.388 .059
Q35_1 <--- Q68_1 7.385 -.087
Q35_1 <--- Q64_1 7.669 -.089
Q35_1 <--- Q42_1 4.499 -.075
Q35_1 <--- Q27_1 10.261 -.091
Q35_1 <--- Q2_1 4.489 -.059
Q35_1 <--- Q62_1 6.106 -.073
Q35_1 <--- Q48_1 6.834 -.081
Q35_1 <--- Q40_1 5.225 -.061
Q35_1 <--- Q25_1 5.179 -.058
Q35_1 <--- Q18_1 7.483 -.092
Q35_1 <--- Q13_1 10.091 -.118
Q35_1 <--- Q9_1 4.972 -.072
Q32_1 <--- Factor3 7.766 -.076
Q32_1 <--- Q35_1 11.170 .085
Q32_1 <--- Q28_1 88.177 .298
Q32_1 <--- Q22_1 42.438 .182
Q32_1 <--- Q16_1 10.162 -.074
Q32_1 <--- Q69_1 10.515 -.067
Q32_1 <--- Q67_1 9.195 -.058
Q32_1 <--- Q61_1 6.458 -.053
Q32_1 <--- Q57_1 4.511 -.034
Q32_1 <--- Q10_1 10.228 -.057
Q32_1 <--- Q74_1 6.180 -.059
Q32_1 <--- Q70_1 6.813 -.050
Q32_1 <--- Q68_1 6.213 -.066
Q32_1 <--- Q30_1 4.471 -.035
Q32_1 <--- Q62_1 4.736 -.053
Q32_1 <--- Q39_1 6.851 -.058
Q32_1 <--- Q18_1 4.121 -.056
Q28_1 <--- Factor3 4.985 -.067
Q28_1 <--- Factor1 7.239 -.080
Q28_1 <--- Q14_1 5.297 .071
Q28_1 <--- Q44_1 8.629 .104
Q28_1 <--- Q35_1 6.099 .069
Q28_1 <--- Q32_1 70.457 .299
Q28_1 <--- Q23_1 4.840 -.061
Q28_1 <--- Q22_1 27.630 .163
Q28_1 <--- Q16_1 5.331 -.060
Q28_1 <--- Q69_1 4.107 -.046
Q28_1 <--- Q67_1 5.053 -.048
Q28_1 <--- Q61_1 4.929 -.051
Q28_1 <--- Q58_1 5.653 -.047
Q28_1 <--- Q50_1 9.053 -.070
Q28_1 <--- Q10_1 5.637 -.047
Q28_1 <--- Q70_1 10.613 -.069
Q28_1 <--- Q68_1 7.679 -.081
Q28_1 <--- Q30_1 4.301 -.038
Q28_1 <--- Q73_1 9.363 -.077
Q28_1 <--- Q71_1 10.188 -.077
Q28_1 <--- Q66_1 5.305 -.064
Q28_1 <--- Q62_1 7.881 -.076
Q28_1 <--- Q56_1 6.109 -.068
Q28_1 <--- Q55_1 7.835 -.064
Q28_1 <--- Q54_1 8.297 -.081
Q28_1 <--- Q47_1 4.807 -.061
Q28_1 <--- Q41_1 4.986 -.054
Q28_1 <--- Q40_1 8.771 -.072
Q28_1 <--- Q36_1 6.243 -.067
Q28_1 <--- Q8_1 4.900 -.057
Q28_1 <--- Q5_1 5.682 -.055
Q28_1 <--- Q4_1 10.336 -.079
Q23_1 <--- Factor5 16.349 .166
Q23_1 <--- Factor1 44.896 .258
Q23_1 <--- Q59_1 4.670 .070
Q23_1 <--- Q46_1 12.386 .123
Q23_1 <--- Q29_1 14.268 .141
Q23_1 <--- Q7_1 9.296 .097
Q23_1 <--- Q6_1 7.072 .078
Q23_1 <--- Q72_1 17.117 .149
Q23_1 <--- Q44_1 10.076 -.145
Q23_1 <--- Q43_1 4.178 -.081
Q23_1 <--- Q28_1 4.544 -.097
Q23_1 <--- Q22_1 6.294 .100
Q23_1 <--- Q57_1 6.590 .059
Q23_1 <--- Q52_1 4.893 .067
Q23_1 <--- Q24_1 13.391 .103
Q23_1 <--- Q70_1 7.150 .073
Q23_1 <--- Q68_1 6.495 .096
Q23_1 <--- Q30_1 5.902 .058
Q23_1 <--- Q73_1 34.597 .192
Q23_1 <--- Q71_1 37.337 .190
Q23_1 <--- Q66_1 18.290 .153
Q23_1 <--- Q62_1 28.670 .186
Q23_1 <--- Q56_1 36.211 .213
Q23_1 <--- Q55_1 24.863 .147
Q23_1 <--- Q54_1 33.297 .208
Q23_1 <--- Q49_1 20.056 .148
Q23_1 <--- Q53_1 30.627 .197
Q23_1 <--- Q48_1 24.468 .180
Q23_1 <--- Q47_1 21.229 .166
Q23_1 <--- Q41_1 26.326 .159
Q23_1 <--- Q40_1 20.276 .141
Q23_1 <--- Q39_1 47.432 .218
Q23_1 <--- Q36_1 41.399 .222
Q23_1 <--- Q33_1 20.990 .165
Q23_1 <--- Q25_1 33.858 .175
Q23_1 <--- Q20_1 5.010 .077
Q23_1 <--- Q21_1 34.883 .217
Q23_1 <--- Q18_1 19.835 .176
Q23_1 <--- Q13_1 4.363 .092
Q23_1 <--- Q12_1 5.856 .073
Q23_1 <--- Q11_1 11.512 .136
Q23_1 <--- Q9_1 12.009 .133
Q23_1 <--- Q8_1 13.484 .121
Q23_1 <--- Q5_1 28.459 .158
Q23_1 <--- Q4_1 16.222 .128
Q23_1 <--- Q1_1 29.221 .191
Q22_1 <--- Factor2 9.566 -.106
Q22_1 <--- Q6_1 11.841 -.088
Q22_1 <--- Q51_1 4.304 -.071
Q22_1 <--- Q43_1 5.683 -.083
Q22_1 <--- Q35_1 8.440 .093
Q22_1 <--- Q32_1 33.664 .235
Q22_1 <--- Q28_1 27.429 .209
Q22_1 <--- Q23_1 6.656 .082
Q22_1 <--- Q16_1 8.563 -.086
Q22_1 <--- Q10_1 5.407 -.053
Q22_1 <--- Q74_1 11.840 -.102
Q22_1 <--- Q70_1 10.428 -.077
Q22_1 <--- Q68_1 7.292 -.090
Q22_1 <--- Q65_1 7.331 -.077
Q22_1 <--- Q60_1 8.374 -.091
Q22_1 <--- Q38_1 5.315 -.071
Q22_1 <--- Q37_1 4.594 -.083
Q22_1 <--- Q34_1 4.338 -.080
Q22_1 <--- Q31_1 4.604 -.059
Q22_1 <--- Q30_1 6.915 -.055
Q22_1 <--- Q27_1 4.726 -.064
Q22_1 <--- Q15_1 15.747 -.133
Q22_1 <--- Q3_1 7.761 -.077
Q16_1 <--- Factor3 8.589 .102
Q16_1 <--- Factor2 4.039 .070
Q16_1 <--- Q29_1 4.266 -.069
Q16_1 <--- Q72_1 5.891 -.078
Q16_1 <--- Q63_1 8.315 -.100
Q16_1 <--- Q43_1 6.507 .090
Q16_1 <--- Q35_1 4.825 .071
Q16_1 <--- Q32_1 12.426 -.144
Q16_1 <--- Q28_1 8.159 -.116
Q16_1 <--- Q22_1 13.201 -.130
Q16_1 <--- Q69_1 5.931 .064
Q16_1 <--- Q67_1 7.138 .065
Q16_1 <--- Q52_1 9.908 .085
Q16_1 <--- Q26_1 8.017 .079
Q16_1 <--- Q24_1 7.637 .069
Q16_1 <--- Q10_1 17.419 .096
Q16_1 <--- Q74_1 11.349 .102
Q16_1 <--- Q70_1 7.814 .068
Q16_1 <--- Q68_1 4.793 .074
Q16_1 <--- Q31_1 12.109 .097
Q16_1 <--- Q30_1 7.989 .060
Q16_1 <--- Q15_1 10.407 .109
Q16_1 <--- Q3_1 7.342 .076
Q16_1 <--- Q66_1 4.072 .064
Q16_1 <--- Q5_1 7.866 .074
Q16_1 <--- Q4_1 12.208 .099
Q16_1 <--- Q1_1 6.789 .082
Q69_1 <--- Factor4 7.446 -.084
Q69_1 <--- Factor1 9.577 -.094
Q69_1 <--- Q72_1 4.208 -.058
Q69_1 <--- Q63_1 10.648 -.100
Q69_1 <--- Q45_1 7.671 -.087
Q69_1 <--- Q43_1 4.540 -.067
Q69_1 <--- Q35_1 11.141 -.095
Q69_1 <--- Q32_1 10.693 -.118
Q69_1 <--- Q23_1 8.519 -.083
Q69_1 <--- Q16_1 4.671 -.057
Q69_1 <--- Q67_1 13.253 .078
Q69_1 <--- Q57_1 4.249 -.037
Q69_1 <--- Q50_1 8.579 -.070
Q69_1 <--- Q24_1 23.066 -.106
Q69_1 <--- Q27_1 5.498 -.062
Q69_1 <--- Q17_1 5.737 -.082
Q69_1 <--- Q3_1 4.917 -.055
Q69_1 <--- Q73_1 6.319 -.065
Q69_1 <--- Q55_1 21.890 -.108
Q69_1 <--- Q54_1 8.981 -.085
Q69_1 <--- Q53_1 8.287 -.081
Q69_1 <--- Q47_1 4.221 -.058
Q69_1 <--- Q41_1 13.677 -.090
Q69_1 <--- Q40_1 14.378 -.094
Q69_1 <--- Q36_1 12.266 -.095
Q69_1 <--- Q33_1 5.898 -.069
Q69_1 <--- Q25_1 6.365 -.060
Q69_1 <--- Q20_1 4.744 -.059
Q69_1 <--- Q12_1 7.919 -.067
Q69_1 <--- Q8_1 8.709 -.077
Q69_1 <--- Q5_1 4.489 -.049
Q69_1 <--- Q4_1 11.076 -.083
Q69_1 <--- Q1_1 16.226 -.112
Q67_1 <--- Factor5 7.504 -.089
Q67_1 <--- Factor4 8.897 -.092
Q67_1 <--- Factor2 10.303 -.099
Q67_1 <--- Factor1 12.783 -.109
Q67_1 <--- Q59_1 4.733 -.056
Q67_1 <--- Q46_1 8.528 -.081
Q67_1 <--- Q63_1 11.553 -.104
Q67_1 <--- Q45_1 5.583 -.075
Q67_1 <--- Q43_1 7.966 -.089
Q67_1 <--- Q35_1 11.183 -.096
Q67_1 <--- Q32_1 9.923 -.115
Q67_1 <--- Q28_1 5.861 -.087
Q67_1 <--- Q23_1 5.920 -.070
Q67_1 <--- Q22_1 7.535 -.087
Q67_1 <--- Q16_1 4.346 -.055
Q67_1 <--- Q69_1 17.827 .099
Q67_1 <--- Q50_1 4.513 -.051
Q67_1 <--- Q24_1 20.602 -.101
Q67_1 <--- Q70_1 10.230 -.069
Q67_1 <--- Q38_1 4.444 -.058
Q67_1 <--- Q37_1 11.197 -.116
Q67_1 <--- Q34_1 6.161 -.086
Q67_1 <--- Q27_1 6.442 -.067
Q67_1 <--- Q19_1 7.771 -.102
Q67_1 <--- Q17_1 9.244 -.104
Q67_1 <--- Q15_1 8.328 -.087
Q67_1 <--- Q66_1 4.334 -.059
Q67_1 <--- Q56_1 12.466 -.099
Q67_1 <--- Q55_1 10.262 -.075
Q67_1 <--- Q54_1 13.979 -.107
Q67_1 <--- Q49_1 11.299 -.088
Q67_1 <--- Q53_1 9.767 -.088
Q67_1 <--- Q41_1 17.729 -.103
Q67_1 <--- Q40_1 6.947 -.065
Q67_1 <--- Q39_1 5.281 -.058
Q67_1 <--- Q36_1 5.892 -.066
Q67_1 <--- Q25_1 4.304 -.049
Q67_1 <--- Q20_1 7.119 -.073
Q67_1 <--- Q21_1 8.286 -.084
Q67_1 <--- Q18_1 8.624 -.092
Q67_1 <--- Q11_1 7.479 -.087
Q67_1 <--- Q9_1 7.347 -.082
Q67_1 <--- Q8_1 4.373 -.055
Q67_1 <--- Q5_1 4.685 -.051
Q67_1 <--- Q4_1 9.453 -.078
Q67_1 <--- Q1_1 11.092 -.093
Q61_1 <--- Q63_1 5.227 .091
Q61_1 <--- Q43_1 4.242 .084
Q61_1 <--- Q64_1 6.662 .101
Q61_1 <--- Q30_1 5.131 .056
Q61_1 <--- Q17_1 4.921 .099
Q58_1 <--- Q57_1 8.740 .081
Q58_1 <--- Q30_1 7.795 .079
Q58_1 <--- Q2_1 6.451 -.098
Q58_1 <--- Q11_1 5.300 -.109
Q57_1 <--- Q58_1 4.397 .093
Q57_1 <--- Q50_1 16.994 .217
Q57_1 <--- Q70_1 6.632 .121
Q57_1 <--- Q30_1 28.153 .220
Q57_1 <--- Q56_1 5.397 .143
Q57_1 <--- Q55_1 14.931 .198
Q57_1 <--- Q41_1 5.084 .121
Q57_1 <--- Q25_1 4.876 .115
Q57_1 <--- Q1_1 4.054 .124
Q52_1 <--- Factor5 16.091 .169
Q52_1 <--- Factor4 5.434 .093
Q52_1 <--- Factor2 12.959 .144
Q52_1 <--- Factor1 15.139 .154
Q52_1 <--- Q59_1 9.544 .103
Q52_1 <--- Q46_1 23.814 .176
Q52_1 <--- Q29_1 8.638 .113
Q52_1 <--- Q43_1 4.351 .085
Q52_1 <--- Q35_1 9.898 .118
Q52_1 <--- Q23_1 5.687 .088
Q52_1 <--- Q16_1 7.409 .093
Q52_1 <--- Q50_1 6.216 .077
Q52_1 <--- Q24_1 6.001 .071
Q52_1 <--- Q74_1 11.441 .117
Q52_1 <--- Q68_1 8.427 .112
Q52_1 <--- Q42_1 6.426 .109
Q52_1 <--- Q38_1 17.608 .150
Q52_1 <--- Q37_1 6.041 .110
Q52_1 <--- Q34_1 4.843 .098
Q52_1 <--- Q31_1 5.131 .073
Q52_1 <--- Q27_1 16.756 .141
Q52_1 <--- Q15_1 5.690 .093
Q52_1 <--- Q3_1 5.111 .073
Q52_1 <--- Q73_1 6.736 .087
Q52_1 <--- Q66_1 8.797 .109
Q52_1 <--- Q56_1 6.836 .095
Q52_1 <--- Q55_1 16.750 .124
Q52_1 <--- Q54_1 28.181 .197
Q52_1 <--- Q49_1 14.863 .131
Q52_1 <--- Q53_1 39.523 .230
Q52_1 <--- Q48_1 6.166 .093
Q52_1 <--- Q41_1 7.240 .086
Q52_1 <--- Q40_1 5.782 .077
Q52_1 <--- Q39_1 17.663 .137
Q52_1 <--- Q36_1 24.739 .176
Q52_1 <--- Q33_1 5.762 .089
Q52_1 <--- Q20_1 6.669 .092
Q52_1 <--- Q21_1 6.398 .096
Q52_1 <--- Q18_1 4.384 .085
Q52_1 <--- Q11_1 6.889 .108
Q52_1 <--- Q4_1 15.097 .127
Q50_1 <--- Factor5 20.690 .254
Q50_1 <--- Factor4 4.306 .110
Q50_1 <--- Factor2 34.213 .311
Q50_1 <--- Factor1 14.213 .198
Q50_1 <--- Q59_1 15.561 .174
Q50_1 <--- Q46_1 9.792 .149
Q50_1 <--- Q29_1 5.822 .123
Q50_1 <--- Q14_1 5.293 .124
Q50_1 <--- Q6_1 17.812 .167
Q50_1 <--- Q72_1 4.622 .106
Q50_1 <--- Q63_1 7.632 .146
Q50_1 <--- Q23_1 5.146 .111
Q50_1 <--- Q57_1 15.933 .125
Q50_1 <--- Q74_1 18.145 .196
Q50_1 <--- Q70_1 26.120 .189
Q50_1 <--- Q68_1 28.587 .274
Q50_1 <--- Q65_1 21.387 .203
Q50_1 <--- Q64_1 30.231 .285
Q50_1 <--- Q60_1 20.355 .220
Q50_1 <--- Q42_1 16.466 .231
Q50_1 <--- Q38_1 15.012 .184
Q50_1 <--- Q37_1 10.814 .196
Q50_1 <--- Q34_1 15.272 .231
Q50_1 <--- Q31_1 7.257 .114
Q50_1 <--- Q30_1 16.850 .134
Q50_1 <--- Q27_1 10.538 .148
Q50_1 <--- Q19_1 11.853 .216
Q50_1 <--- Q17_1 16.614 .240
Q50_1 <--- Q15_1 20.285 .233
Q50_1 <--- Q3_1 15.741 .170
Q50_1 <--- Q2_1 10.352 .143
Q50_1 <--- Q73_1 6.351 .112
Q50_1 <--- Q71_1 8.808 .126
Q50_1 <--- Q66_1 5.258 .112
Q50_1 <--- Q62_1 6.653 .122
Q50_1 <--- Q56_1 13.305 .176
Q50_1 <--- Q55_1 23.179 .193
Q50_1 <--- Q54_1 12.060 .171
Q50_1 <--- Q49_1 10.936 .148
Q50_1 <--- Q48_1 4.478 .105
Q50_1 <--- Q47_1 5.310 .113
Q50_1 <--- Q41_1 5.642 .100
Q50_1 <--- Q40_1 7.793 .119
Q50_1 <--- Q36_1 5.290 .108
Q50_1 <--- Q33_1 11.926 .169
Q50_1 <--- Q20_1 5.873 .114
Q50_1 <--- Q21_1 4.608 .107
Q50_1 <--- Q18_1 6.558 .138
Q50_1 <--- Q13_1 6.763 .156
Q50_1 <--- Q12_1 6.599 .105
Q50_1 <--- Q11_1 17.886 .231
Q50_1 <--- Q5_1 8.649 .118
Q50_1 <--- Q4_1 9.458 .133
Q50_1 <--- Q1_1 11.248 .161
Q26_1 <--- Factor4 8.710 .107
Q26_1 <--- Q51_1 11.434 .121
Q26_1 <--- Q44_1 5.291 .098
Q26_1 <--- Q43_1 7.499 .101
Q26_1 <--- Q35_1 22.548 .160
Q26_1 <--- Q32_1 9.794 .133
Q26_1 <--- Q28_1 13.825 .156
Q26_1 <--- Q22_1 8.890 .111
Q26_1 <--- Q16_1 7.989 .087
Q26_1 <--- Q37_1 4.447 .085
Q26_1 <--- Q1_1 4.910 .073
Q24_1 <--- Factor4 6.291 .122
Q24_1 <--- Factor1 22.043 .225
Q24_1 <--- Q29_1 5.232 .106
Q24_1 <--- Q72_1 7.724 .125
Q24_1 <--- Q63_1 6.485 .123
Q24_1 <--- Q45_1 5.499 .117
Q24_1 <--- Q35_1 9.497 .140
Q24_1 <--- Q32_1 8.976 .172
Q24_1 <--- Q28_1 4.115 .115
Q24_1 <--- Q23_1 16.344 .182
Q24_1 <--- Q22_1 7.241 .134
Q24_1 <--- Q16_1 6.998 .110
Q24_1 <--- Q69_1 7.072 -.098
Q24_1 <--- Q67_1 4.696 -.074
Q24_1 <--- Q57_1 4.954 .064
Q24_1 <--- Q52_1 4.394 .079
Q24_1 <--- Q50_1 4.440 .079
Q24_1 <--- Q10_1 37.114 .195
Q24_1 <--- Q17_1 12.453 .190
Q24_1 <--- Q73_1 15.332 .159
Q24_1 <--- Q71_1 12.859 .139
Q24_1 <--- Q62_1 6.176 .108
Q24_1 <--- Q56_1 17.965 .187
Q24_1 <--- Q55_1 40.540 .234
Q24_1 <--- Q54_1 20.878 .206
Q24_1 <--- Q49_1 10.810 .135
Q24_1 <--- Q53_1 16.969 .183
Q24_1 <--- Q48_1 6.328 .114
Q24_1 <--- Q47_1 12.741 .160
Q24_1 <--- Q41_1 69.779 .323
Q24_1 <--- Q40_1 17.450 .163
Q24_1 <--- Q39_1 13.540 .145
Q24_1 <--- Q36_1 23.255 .207
Q24_1 <--- Q33_1 6.081 .111
Q24_1 <--- Q25_1 7.264 .101
Q24_1 <--- Q21_1 14.155 .172
Q24_1 <--- Q18_1 9.913 .155
Q24_1 <--- Q5_1 15.703 .146
Q24_1 <--- Q4_1 29.455 .215
Q10_1 <--- Factor5 15.917 -.197
Q10_1 <--- Q59_1 22.090 -.184
Q10_1 <--- Q46_1 10.629 -.138
Q10_1 <--- Q29_1 8.322 -.130
Q10_1 <--- Q14_1 14.271 -.181
Q10_1 <--- Q7_1 5.130 -.086
Q10_1 <--- Q32_1 4.338 -.115
Q10_1 <--- Q22_1 5.792 -.116
Q10_1 <--- Q24_1 50.846 .242
Q10_1 <--- Q60_1 7.060 -.115
Q10_1 <--- Q42_1 12.163 -.176
Q10_1 <--- Q37_1 5.649 -.125
Q10_1 <--- Q41_1 5.947 .091
Q10_1 <--- Q4_1 6.634 .099
Q74_1 <--- Q59_1 4.475 .061
Q74_1 <--- Q44_1 7.819 -.113
Q74_1 <--- Q32_1 5.709 -.097
Q74_1 <--- Q68_1 6.237 .083
Q74_1 <--- Q65_1 6.023 -.070
Q74_1 <--- Q64_1 4.001 -.067
Q74_1 <--- Q34_1 6.360 -.097
Q74_1 <--- Q19_1 5.314 -.094
Q74_1 <--- Q17_1 5.422 -.089
Q74_1 <--- Q3_1 23.273 .135
Q70_1 <--- Factor5 4.468 -.110
Q70_1 <--- Factor4 7.643 .137
Q70_1 <--- Factor3 14.593 .189
Q70_1 <--- Factor1 7.755 .136
Q70_1 <--- Q59_1 9.542 -.127
Q70_1 <--- Q14_1 7.233 -.136
Q70_1 <--- Q72_1 10.668 .150
Q70_1 <--- Q63_1 4.911 .109
Q70_1 <--- Q51_1 8.889 .146
Q70_1 <--- Q43_1 5.705 .121
Q70_1 <--- Q35_1 7.904 .130
Q70_1 <--- Q23_1 9.806 .144
Q70_1 <--- Q16_1 11.069 .141
Q70_1 <--- Q69_1 10.034 .119
Q70_1 <--- Q67_1 7.858 .098
Q70_1 <--- Q61_1 7.612 .104
Q70_1 <--- Q58_1 11.772 .111
Q70_1 <--- Q57_1 24.677 .146
Q70_1 <--- Q52_1 4.464 .081
Q70_1 <--- Q50_1 10.215 .123
Q70_1 <--- Q26_1 7.738 .111
Q70_1 <--- Q24_1 13.244 .130
Q70_1 <--- Q10_1 21.481 .151
Q70_1 <--- Q31_1 15.121 .154
Q70_1 <--- Q30_1 22.742 .145
Q70_1 <--- Q15_1 4.217 -.099
Q70_1 <--- Q2_1 6.157 -.103
Q70_1 <--- Q73_1 9.471 .128
Q70_1 <--- Q71_1 21.787 .184
Q70_1 <--- Q56_1 4.158 .092
Q70_1 <--- Q55_1 5.172 .085
Q70_1 <--- Q54_1 4.108 .093
Q70_1 <--- Q49_1 5.247 .096
Q70_1 <--- Q53_1 4.239 .093
Q70_1 <--- Q47_1 9.274 .139
Q70_1 <--- Q41_1 11.188 .132
Q70_1 <--- Q40_1 6.969 .105
Q70_1 <--- Q39_1 15.580 .159
Q70_1 <--- Q36_1 5.319 .101
Q70_1 <--- Q25_1 12.604 .135
Q70_1 <--- Q5_1 5.918 .091
Q70_1 <--- Q4_1 4.890 .090
Q70_1 <--- Q1_1 4.955 .100
Q68_1 <--- Q32_1 7.006 -.091
Q68_1 <--- Q28_1 7.969 -.096
Q68_1 <--- Q74_1 7.378 .069
Q68_1 <--- Q64_1 8.736 .084
Q68_1 <--- Q37_1 11.473 -.111
Q68_1 <--- Q19_1 9.877 -.108
Q68_1 <--- Q15_1 4.810 -.062
Q68_1 <--- Q71_1 7.377 .063
Q68_1 <--- Q66_1 18.801 .116
Q68_1 <--- Q62_1 22.346 .123
Q68_1 <--- Q56_1 6.844 .069
Q68_1 <--- Q55_1 5.833 .053
Q68_1 <--- Q54_1 4.414 .057
Q68_1 <--- Q33_1 6.877 .071
Q68_1 <--- Q5_1 7.120 .059
Q65_1 <--- Q44_1 4.070 .104
Q65_1 <--- Q37_1 20.497 .223
Q65_1 <--- Q34_1 17.545 .205
Q65_1 <--- Q27_1 4.734 -.082
Q65_1 <--- Q71_1 7.405 -.095
Q65_1 <--- Q47_1 4.535 -.086
Q65_1 <--- Q18_1 6.489 -.113
Q65_1 <--- Q12_1 9.227 .103
Q65_1 <--- Q5_1 6.206 -.083
Q65_1 <--- Q4_1 8.037 -.102
Q65_1 <--- Q1_1 6.949 -.105
Q64_1 <--- Q59_1 5.787 .070
Q64_1 <--- Q72_1 8.466 .094
Q64_1 <--- Q63_1 21.092 .159
Q64_1 <--- Q68_1 5.339 .078
Q64_1 <--- Q62_1 11.058 .103
Q64_1 <--- Q48_1 12.429 .114
Q60_1 <--- Q59_1 4.437 .063
Q60_1 <--- Q14_1 10.041 .117
Q60_1 <--- Q44_1 10.216 .135
Q60_1 <--- Q27_1 6.817 .081
Q60_1 <--- Q41_1 4.399 -.060
Q60_1 <--- Q12_1 5.708 -.067
Q60_1 <--- Q8_1 5.222 -.070
Q42_1 <--- Q61_1 5.512 -.051
Q42_1 <--- Q24_1 5.543 -.048
Q42_1 <--- Q10_1 11.759 -.064
Q42_1 <--- Q13_1 4.461 .067
Q38_1 <--- Factor5 15.377 .176
Q38_1 <--- Q59_1 7.484 .097
Q38_1 <--- Q46_1 16.739 .157
Q38_1 <--- Q14_1 20.771 .198
Q38_1 <--- Q6_1 14.907 .123
Q38_1 <--- Q2_1 23.537 .173
Q38_1 <--- Q20_1 8.867 .113
Q38_1 <--- Q12_1 4.864 .073
Q37_1 <--- Factor5 7.622 -.084
Q37_1 <--- Factor3 4.289 -.060
Q37_1 <--- Factor1 11.719 -.098
Q37_1 <--- Q46_1 7.976 -.074
Q37_1 <--- Q29_1 5.778 -.067
Q37_1 <--- Q7_1 7.079 -.063
Q37_1 <--- Q23_1 7.243 -.072
Q37_1 <--- Q67_1 5.904 -.049
Q37_1 <--- Q57_1 7.410 -.047
Q37_1 <--- Q24_1 6.043 -.051
Q37_1 <--- Q10_1 6.693 -.049
Q37_1 <--- Q68_1 7.816 -.078
Q37_1 <--- Q65_1 26.884 .124
Q37_1 <--- Q34_1 30.080 .177
Q37_1 <--- Q27_1 5.754 -.060
Q37_1 <--- Q19_1 11.955 .118
Q37_1 <--- Q15_1 19.566 .125
Q37_1 <--- Q73_1 4.814 -.053
Q37_1 <--- Q71_1 7.224 -.062
Q37_1 <--- Q62_1 20.864 -.118
Q37_1 <--- Q56_1 8.308 -.076
Q37_1 <--- Q55_1 16.461 -.089
Q37_1 <--- Q54_1 7.738 -.075
Q37_1 <--- Q49_1 6.035 -.060
Q37_1 <--- Q47_1 5.773 -.064
Q37_1 <--- Q41_1 13.904 -.086
Q37_1 <--- Q40_1 14.958 -.090
Q37_1 <--- Q39_1 5.550 -.055
Q37_1 <--- Q36_1 6.060 -.063
Q37_1 <--- Q33_1 4.270 -.055
Q37_1 <--- Q25_1 8.974 -.067
Q37_1 <--- Q11_1 7.041 -.079
Q37_1 <--- Q9_1 8.466 -.083
Q37_1 <--- Q8_1 4.445 -.052
Q37_1 <--- Q5_1 15.951 -.088
Q37_1 <--- Q4_1 12.492 -.084
Q37_1 <--- Q1_1 9.390 -.080
Q34_1 <--- Factor4 7.711 -.083
Q34_1 <--- Factor3 18.143 -.127
Q34_1 <--- Factor1 6.814 -.077
Q34_1 <--- Q51_1 10.619 -.097
Q34_1 <--- Q45_1 4.703 -.067
Q34_1 <--- Q43_1 14.398 -.116
Q34_1 <--- Q23_1 6.029 -.068
Q34_1 <--- Q16_1 16.790 -.105
Q34_1 <--- Q69_1 13.835 -.084
Q34_1 <--- Q67_1 15.509 -.083
Q34_1 <--- Q61_1 13.928 -.085
Q34_1 <--- Q58_1 5.010 -.044
Q34_1 <--- Q57_1 15.558 -.070
Q34_1 <--- Q52_1 10.516 -.075
Q34_1 <--- Q26_1 14.248 -.091
Q34_1 <--- Q24_1 10.868 -.071
Q34_1 <--- Q10_1 12.306 -.069
Q34_1 <--- Q74_1 4.765 -.057
Q34_1 <--- Q65_1 21.390 .114
Q34_1 <--- Q37_1 27.960 .177
Q34_1 <--- Q31_1 4.871 -.053
Q34_1 <--- Q30_1 8.537 -.054
Q34_1 <--- Q27_1 4.774 -.056
Q34_1 <--- Q19_1 10.584 .115
Q34_1 <--- Q73_1 4.453 -.053
Q34_1 <--- Q71_1 10.910 -.079
Q34_1 <--- Q66_1 4.666 -.059
Q34_1 <--- Q62_1 6.707 -.069
Q34_1 <--- Q56_1 5.105 -.061
Q34_1 <--- Q55_1 11.834 -.078
Q34_1 <--- Q54_1 5.612 -.066
Q34_1 <--- Q53_1 4.545 -.058
Q34_1 <--- Q47_1 7.693 -.077
Q34_1 <--- Q41_1 7.261 -.064
Q34_1 <--- Q40_1 4.368 -.050
Q34_1 <--- Q39_1 4.390 -.051
Q34_1 <--- Q36_1 5.869 -.064
Q34_1 <--- Q12_1 6.172 .057
Q34_1 <--- Q5_1 12.534 -.080
Q34_1 <--- Q4_1 14.876 -.094
Q34_1 <--- Q1_1 4.884 -.060
Q31_1 <--- Factor5 9.163 -.133
Q31_1 <--- Factor4 7.657 .116
Q31_1 <--- Factor3 13.206 .152
Q31_1 <--- Factor1 4.346 .086
Q31_1 <--- Q59_1 6.459 -.088
Q31_1 <--- Q46_1 4.497 -.080
Q31_1 <--- Q14_1 24.695 -.212
Q31_1 <--- Q6_1 4.621 -.067
Q31_1 <--- Q51_1 10.832 .137
Q31_1 <--- Q45_1 4.088 .087
Q31_1 <--- Q43_1 8.089 .121
Q31_1 <--- Q32_1 9.370 .151
Q31_1 <--- Q23_1 4.695 .084
Q31_1 <--- Q16_1 15.354 .140
Q31_1 <--- Q69_1 12.502 .112
Q31_1 <--- Q67_1 12.588 .104
Q31_1 <--- Q61_1 5.990 .078
Q31_1 <--- Q58_1 12.987 .099
Q31_1 <--- Q52_1 6.340 .081
Q31_1 <--- Q26_1 5.731 .081
Q31_1 <--- Q10_1 10.151 .088
Q31_1 <--- Q70_1 16.277 .118
Q31_1 <--- Q34_1 4.830 -.103
Q31_1 <--- Q30_1 4.788 .056
Q31_1 <--- Q73_1 8.130 .100
Q31_1 <--- Q71_1 7.473 .091
Q31_1 <--- Q54_1 4.097 .078
Q31_1 <--- Q47_1 7.588 .106
Q31_1 <--- Q40_1 5.552 .079
Q31_1 <--- Q25_1 9.366 .099
Q31_1 <--- Q11_1 6.019 -.106
Q31_1 <--- Q8_1 4.387 .074
Q31_1 <--- Q5_1 12.314 .111
Q31_1 <--- Q4_1 12.897 .123
Q31_1 <--- Q1_1 11.644 .130
Q30_1 <--- Factor5 4.609 -.150
Q30_1 <--- Factor3 18.698 .287
Q30_1 <--- Q59_1 10.043 -.175
Q30_1 <--- Q14_1 5.191 -.154
Q30_1 <--- Q51_1 5.243 .151
Q30_1 <--- Q23_1 4.594 .132
Q30_1 <--- Q16_1 5.270 .130
Q30_1 <--- Q69_1 9.937 .159
Q30_1 <--- Q67_1 12.887 .168
Q30_1 <--- Q61_1 19.688 .225
Q30_1 <--- Q58_1 24.317 .214
Q30_1 <--- Q57_1 52.147 .284
Q30_1 <--- Q52_1 8.868 .153
Q30_1 <--- Q50_1 11.570 .175
Q30_1 <--- Q26_1 11.838 .184
Q30_1 <--- Q24_1 11.286 .161
Q30_1 <--- Q10_1 14.274 .165
Q30_1 <--- Q70_1 15.330 .181
Q30_1 <--- Q34_1 5.301 -.171
Q30_1 <--- Q17_1 4.111 .150
Q30_1 <--- Q49_1 4.208 .115
Q30_1 <--- Q48_1 6.612 -.160
Q30_1 <--- Q41_1 14.569 .202
Q30_1 <--- Q39_1 5.118 .122
Q30_1 <--- Q20_1 5.917 .143
Q27_1 <--- Factor4 6.462 .108
Q27_1 <--- Q51_1 7.024 .112
Q27_1 <--- Q45_1 7.332 .118
Q27_1 <--- Q43_1 9.342 .132
Q27_1 <--- Q32_1 8.676 .148
Q27_1 <--- Q28_1 13.282 .180
Q27_1 <--- Q16_1 4.050 .073
Q27_1 <--- Q58_1 4.217 .057
Q27_1 <--- Q52_1 8.036 .093
Q27_1 <--- Q65_1 4.641 -.076
Q27_1 <--- Q60_1 5.379 .090
Q27_1 <--- Q37_1 4.301 -.099
Q27_1 <--- Q15_1 4.933 -.092
Q27_1 <--- Q62_1 5.755 .091
Q27_1 <--- Q49_1 5.003 .080
Q27_1 <--- Q40_1 9.277 .104
Q27_1 <--- Q39_1 6.810 .090
Q27_1 <--- Q33_1 7.434 .107
Q27_1 <--- Q25_1 6.383 .083
Q27_1 <--- Q20_1 10.049 .120
Q27_1 <--- Q13_1 17.865 .203
Q27_1 <--- Q1_1 6.961 .102
Q19_1 <--- Factor3 4.117 -.062
Q19_1 <--- Q67_1 4.861 -.047
Q19_1 <--- Q57_1 5.253 -.041
Q19_1 <--- Q68_1 5.190 -.067
Q19_1 <--- Q37_1 9.222 .104
Q19_1 <--- Q34_1 8.783 .101
Q19_1 <--- Q17_1 15.070 .132
Q19_1 <--- Q15_1 5.439 .069
Q19_1 <--- Q3_1 4.324 -.051
Q19_1 <--- Q62_1 10.736 -.089
Q19_1 <--- Q55_1 9.287 -.070
Q19_1 <--- Q48_1 4.587 .061
Q19_1 <--- Q20_1 4.919 .060
Q19_1 <--- Q18_1 6.590 .079
Q19_1 <--- Q5_1 4.460 -.049
Q17_1 <--- Factor4 8.583 .102
Q17_1 <--- Factor3 10.389 .113
Q17_1 <--- Q29_1 9.103 .101
Q17_1 <--- Q45_1 10.125 .115
Q17_1 <--- Q44_1 8.605 .120
Q17_1 <--- Q35_1 11.464 .110
Q17_1 <--- Q32_1 6.057 .101
Q17_1 <--- Q28_1 10.780 .134
Q17_1 <--- Q23_1 5.663 .077
Q17_1 <--- Q22_1 11.581 .122
Q17_1 <--- Q16_1 7.359 .081
Q17_1 <--- Q67_1 4.953 .055
Q17_1 <--- Q61_1 13.002 .096
Q17_1 <--- Q58_1 9.222 .069
Q17_1 <--- Q52_1 5.741 .065
Q17_1 <--- Q50_1 6.343 .068
Q17_1 <--- Q26_1 7.467 .077
Q17_1 <--- Q24_1 23.887 .123
Q17_1 <--- Q10_1 10.541 .075
Q17_1 <--- Q30_1 4.594 .046
Q17_1 <--- Q19_1 12.603 .146
Q17_1 <--- Q47_1 4.291 .067
Q17_1 <--- Q41_1 12.745 .099
Q17_1 <--- Q20_1 10.446 .100
Q17_1 <--- Q21_1 14.607 .126
Q17_1 <--- Q18_1 12.218 .124
Q17_1 <--- Q11_1 8.050 .102
Q15_1 <--- Factor1 4.952 -.075
Q15_1 <--- Q46_1 8.092 -.087
Q15_1 <--- Q51_1 5.849 -.082
Q15_1 <--- Q45_1 4.360 -.073
Q15_1 <--- Q23_1 5.836 -.076
Q15_1 <--- Q22_1 10.369 -.113
Q15_1 <--- Q70_1 4.668 -.051
Q15_1 <--- Q65_1 4.212 .058
Q15_1 <--- Q37_1 18.548 .164
Q15_1 <--- Q27_1 6.256 -.073
Q15_1 <--- Q19_1 6.685 .104
Q15_1 <--- Q62_1 6.096 -.075
Q15_1 <--- Q56_1 13.203 -.112
Q15_1 <--- Q55_1 4.623 -.055
Q15_1 <--- Q54_1 6.694 -.082
Q15_1 <--- Q49_1 4.011 -.058
Q15_1 <--- Q53_1 5.329 -.072
Q15_1 <--- Q41_1 4.905 -.060
Q15_1 <--- Q36_1 8.302 -.087
Q15_1 <--- Q20_1 10.662 -.099
Q15_1 <--- Q21_1 4.516 -.068
Q3_1 <--- Q44_1 13.220 -.175
Q3_1 <--- Q28_1 4.142 -.097
Q3_1 <--- Q74_1 17.811 .150
Q3_1 <--- Q19_1 5.323 -.111
Q3_1 <--- Q17_1 5.434 -.106
Q3_1 <--- Q2_1 8.955 .102
Q3_1 <--- Q11_1 7.646 .116
Q3_1 <--- Q9_1 4.718 .087
Q3_1 <--- Q4_1 11.358 .113
Q2_1 <--- Factor5 36.435 .308
Q2_1 <--- Factor4 5.474 -.114
Q2_1 <--- Q59_1 23.172 .194
Q2_1 <--- Q46_1 31.574 .246
Q2_1 <--- Q14_1 11.156 .165
Q2_1 <--- Q7_1 27.448 .207
Q2_1 <--- Q6_1 105.592 .373
Q2_1 <--- Q72_1 6.364 -.113
Q2_1 <--- Q63_1 4.402 -.101
Q2_1 <--- Q44_1 4.395 -.120
Q2_1 <--- Q43_1 4.410 -.104
Q2_1 <--- Q35_1 7.026 -.120
Q2_1 <--- Q58_1 8.931 -.095
Q2_1 <--- Q24_1 4.418 -.074
Q2_1 <--- Q70_1 4.175 -.069
Q2_1 <--- Q38_1 20.218 .195
Q2_1 <--- Q3_1 5.476 .092
Q2_1 <--- Q47_1 4.136 -.091
Q2_1 <--- Q25_1 4.444 -.079
Q2_1 <--- Q21_1 5.373 -.106
Q73_1 <--- Factor4 6.099 .087
Q73_1 <--- Factor3 9.972 .112
Q73_1 <--- Q72_1 33.707 .190
Q73_1 <--- Q63_1 6.431 .089
Q73_1 <--- Q45_1 4.897 .081
Q73_1 <--- Q23_1 6.417 .083
Q73_1 <--- Q16_1 4.120 .061
Q73_1 <--- Q69_1 6.660 .069
Q73_1 <--- Q67_1 10.899 .082
Q73_1 <--- Q61_1 7.538 .074
Q73_1 <--- Q58_1 7.987 .065
Q73_1 <--- Q57_1 5.614 .050
Q73_1 <--- Q24_1 5.948 .062
Q73_1 <--- Q10_1 8.759 .069
Q73_1 <--- Q74_1 5.010 .069
Q73_1 <--- Q31_1 5.417 .066
Q73_1 <--- Q71_1 15.130 .110
Q73_1 <--- Q39_1 12.074 .100
Q73_1 <--- Q25_1 4.961 -.061
Q71_1 <--- Q72_1 11.542 .122
Q71_1 <--- Q69_1 4.345 .062
Q71_1 <--- Q70_1 11.163 .091
Q71_1 <--- Q30_1 4.154 .049
Q71_1 <--- Q73_1 13.617 .120
Q71_1 <--- Q47_1 4.623 -.077
Q71_1 <--- Q41_1 8.315 .089
Q71_1 <--- Q12_1 4.758 -.066
Q71_1 <--- Q9_1 8.980 -.115
Q71_1 <--- Q8_1 10.127 -.105
Q66_1 <--- Q24_1 5.322 -.065
Q66_1 <--- Q68_1 9.797 .118
Q66_1 <--- Q25_1 23.800 .146
Q66_1 <--- Q18_1 12.045 .137
Q66_1 <--- Q5_1 8.987 .089
Q66_1 <--- Q1_1 29.425 .192
Q62_1 <--- Q63_1 4.146 .075
Q62_1 <--- Q68_1 4.455 .076
Q62_1 <--- Q64_1 4.692 .079
Q62_1 <--- Q38_1 4.368 -.069
Q62_1 <--- Q37_1 7.130 -.111
Q62_1 <--- Q31_1 6.268 -.075
Q62_1 <--- Q19_1 12.940 -.158
Q62_1 <--- Q49_1 5.802 .076
Q62_1 <--- Q39_1 4.079 -.061
Q56_1 <--- Factor4 4.823 -.066
Q56_1 <--- Q59_1 4.944 .056
Q56_1 <--- Q6_1 4.232 .046
Q56_1 <--- Q72_1 5.548 -.065
Q56_1 <--- Q63_1 7.822 -.084
Q56_1 <--- Q51_1 4.255 -.061
Q56_1 <--- Q43_1 8.221 -.088
Q56_1 <--- Q16_1 9.691 -.080
Q56_1 <--- Q61_1 4.040 -.046
Q56_1 <--- Q31_1 6.110 -.059
Q56_1 <--- Q15_1 10.139 -.093
Q56_1 <--- Q55_1 7.077 .060
Q56_1 <--- Q54_1 5.556 .066
Q56_1 <--- Q18_1 4.302 -.063
Q56_1 <--- Q13_1 5.474 -.079
Q55_1 <--- Q61_1 4.163 .066
Q55_1 <--- Q58_1 4.500 .058
Q55_1 <--- Q57_1 20.171 .112
Q55_1 <--- Q52_1 6.682 .084
Q55_1 <--- Q50_1 12.783 .117
Q55_1 <--- Q24_1 20.228 .137
Q55_1 <--- Q37_1 7.384 -.128
Q55_1 <--- Q34_1 7.255 -.127
Q55_1 <--- Q19_1 15.673 -.197
Q55_1 <--- Q56_1 4.907 .085
Q55_1 <--- Q48_1 4.542 -.084
Q55_1 <--- Q41_1 14.934 .129
Q55_1 <--- Q18_1 11.821 -.147
Q55_1 <--- Q13_1 9.469 -.146
Q55_1 <--- Q9_1 4.784 -.091
Q55_1 <--- Q4_1 7.849 .096
Q55_1 <--- Q1_1 5.474 -.089
Q54_1 <--- Q51_1 7.520 -.081
Q54_1 <--- Q28_1 4.148 -.071
Q54_1 <--- Q56_1 5.328 .063
Q54_1 <--- Q53_1 7.222 .074
Q54_1 <--- Q20_1 8.471 -.077
Q54_1 <--- Q18_1 5.867 -.074
Q49_1 <--- Q34_1 5.073 .089
Q49_1 <--- Q30_1 7.950 .061
Q49_1 <--- Q2_1 8.501 .087
Q49_1 <--- Q62_1 7.315 .086
Q49_1 <--- Q18_1 4.115 -.073
Q53_1 <--- Q52_1 18.488 .108
Q53_1 <--- Q50_1 6.014 -.062
Q53_1 <--- Q54_1 6.103 .074
Q53_1 <--- Q13_1 6.146 -.091
Q48_1 <--- Factor5 6.648 .095
Q48_1 <--- Factor3 11.718 -.120
Q48_1 <--- Q59_1 7.668 .081
Q48_1 <--- Q46_1 14.686 .121
Q48_1 <--- Q35_1 5.716 -.078
Q48_1 <--- Q16_1 9.581 -.093
Q48_1 <--- Q69_1 6.259 -.067
Q48_1 <--- Q67_1 7.415 -.067
Q48_1 <--- Q61_1 9.144 -.081
Q48_1 <--- Q58_1 9.841 -.072
Q48_1 <--- Q57_1 7.492 -.057
Q48_1 <--- Q52_1 6.798 -.071
Q48_1 <--- Q26_1 11.565 -.096
Q48_1 <--- Q24_1 7.968 -.072
Q48_1 <--- Q10_1 19.891 -.103
Q48_1 <--- Q64_1 5.420 .080
Q48_1 <--- Q30_1 16.991 -.089
Q48_1 <--- Q27_1 4.337 -.063
Q48_1 <--- Q19_1 4.968 .092
Q48_1 <--- Q3_1 5.847 -.069
Q48_1 <--- Q55_1 4.232 -.055
Q48_1 <--- Q47_1 17.473 .135
Q48_1 <--- Q41_1 6.483 -.071
Q48_1 <--- Q11_1 5.503 .085
Q48_1 <--- Q8_1 6.925 .078
Q48_1 <--- Q4_1 5.202 -.065
Q47_1 <--- Q6_1 4.236 -.049
Q47_1 <--- Q2_1 5.275 -.061
Q47_1 <--- Q71_1 5.366 -.058
Q47_1 <--- Q48_1 23.092 .142
Q41_1 <--- Q59_1 4.959 -.083
Q41_1 <--- Q7_1 4.116 .074
Q41_1 <--- Q35_1 6.368 .106
Q41_1 <--- Q57_1 6.023 .065
Q41_1 <--- Q24_1 43.019 .213
Q41_1 <--- Q10_1 10.450 .096
Q41_1 <--- Q64_1 4.490 -.093
Q41_1 <--- Q60_1 5.166 -.094
Q41_1 <--- Q37_1 5.911 -.122
Q41_1 <--- Q30_1 11.485 .093
Q41_1 <--- Q17_1 5.108 .113
Q41_1 <--- Q71_1 6.031 .088
Q41_1 <--- Q55_1 11.489 .115
Q41_1 <--- Q48_1 5.353 -.097
Q41_1 <--- Q39_1 4.040 .073
Q41_1 <--- Q13_1 4.746 -.110
Q41_1 <--- Q4_1 4.004 .073
Q40_1 <--- Factor5 5.217 -.094
Q40_1 <--- Q59_1 5.358 -.075
Q40_1 <--- Q7_1 4.316 -.066
Q40_1 <--- Q39_1 5.024 .071
Q40_1 <--- Q21_1 4.396 -.077
Q40_1 <--- Q18_1 10.488 -.128
Q40_1 <--- Q12_1 5.307 .069
Q39_1 <--- Factor4 7.851 .111
Q39_1 <--- Factor3 10.754 .130
Q39_1 <--- Q72_1 15.436 .144
Q39_1 <--- Q51_1 5.287 .090
Q39_1 <--- Q45_1 8.072 .116
Q39_1 <--- Q44_1 4.006 .093
Q39_1 <--- Q43_1 8.334 .116
Q39_1 <--- Q23_1 17.298 .152
Q39_1 <--- Q69_1 9.527 .092
Q39_1 <--- Q67_1 8.959 .083
Q39_1 <--- Q58_1 8.652 .076
Q39_1 <--- Q57_1 4.822 .051
Q39_1 <--- Q52_1 14.140 .115
Q39_1 <--- Q26_1 4.029 .064
Q39_1 <--- Q24_1 6.140 .071
Q39_1 <--- Q10_1 6.119 .064
Q39_1 <--- Q70_1 7.829 .077
Q39_1 <--- Q30_1 7.863 .068
Q39_1 <--- Q27_1 4.099 .069
Q39_1 <--- Q73_1 10.083 .105
Q39_1 <--- Q62_1 4.431 -.074
Q39_1 <--- Q41_1 5.169 .071
Q39_1 <--- Q40_1 4.771 .069
Q36_1 <--- Q59_1 8.588 -.076
Q36_1 <--- Q35_1 7.112 .078
Q36_1 <--- Q52_1 5.066 .054
Q36_1 <--- Q74_1 4.663 -.058
Q36_1 <--- Q64_1 6.323 -.076
Q36_1 <--- Q42_1 5.410 -.078
Q36_1 <--- Q15_1 6.776 -.079
Q36_1 <--- Q13_1 10.131 -.112
Q36_1 <--- Q12_1 4.980 -.054
Q36_1 <--- Q1_1 7.484 -.077
Q33_1 <--- Factor2 6.933 .087
Q33_1 <--- Q57_1 4.984 -.044
Q33_1 <--- Q74_1 11.442 .097
Q33_1 <--- Q68_1 9.554 .099
Q33_1 <--- Q42_1 7.477 .097
Q33_1 <--- Q37_1 5.097 .084
Q33_1 <--- Q34_1 13.962 .138
Q33_1 <--- Q27_1 9.550 .088
Q33_1 <--- Q3_1 11.975 .093
Q33_1 <--- Q2_1 8.893 .083
Q25_1 <--- Q44_1 4.930 -.118
Q25_1 <--- Q52_1 6.824 -.091
Q25_1 <--- Q38_1 6.767 -.105
Q25_1 <--- Q2_1 4.628 -.081
Q25_1 <--- Q66_1 25.503 .210
Q25_1 <--- Q20_1 4.900 -.089
Q25_1 <--- Q18_1 18.296 .196
Q25_1 <--- Q5_1 28.875 .184
Q25_1 <--- Q1_1 74.038 .352
Q20_1 <--- Factor4 7.334 .110
Q20_1 <--- Q51_1 13.965 .151
Q20_1 <--- Q45_1 6.649 .108
Q20_1 <--- Q44_1 7.376 .130
Q20_1 <--- Q43_1 11.670 .142
Q20_1 <--- Q35_1 5.145 .086
Q20_1 <--- Q28_1 4.162 .097
Q20_1 <--- Q22_1 5.873 .101
Q20_1 <--- Q16_1 6.809 .091
Q20_1 <--- Q38_1 11.515 .123
Q20_1 <--- Q30_1 7.703 .069
Q20_1 <--- Q27_1 6.877 .092
Q20_1 <--- Q19_1 9.548 .149
Q20_1 <--- Q17_1 9.520 .140
Q20_1 <--- Q54_1 4.588 -.081
Q20_1 <--- Q25_1 4.487 -.066
Q20_1 <--- Q18_1 6.708 .107
Q20_1 <--- Q13_1 8.058 .130
Q20_1 <--- Q12_1 5.021 .071
Q21_1 <--- Factor5 10.164 .128
Q21_1 <--- Q59_1 7.276 .085
Q21_1 <--- Q46_1 6.148 .085
Q21_1 <--- Q29_1 15.804 .145
Q21_1 <--- Q14_1 5.589 .092
Q21_1 <--- Q7_1 4.009 .062
Q21_1 <--- Q22_1 4.029 .078
Q21_1 <--- Q31_1 4.330 -.063
Q21_1 <--- Q17_1 9.578 .131
Q21_1 <--- Q2_1 5.431 -.074
Q21_1 <--- Q18_1 8.570 .113
Q21_1 <--- Q11_1 6.573 .100
Q18_1 <--- Q29_1 4.645 .070
Q18_1 <--- Q42_1 4.780 .080
Q18_1 <--- Q19_1 11.543 .136
Q18_1 <--- Q17_1 10.620 .123
Q18_1 <--- Q66_1 13.290 .113
Q18_1 <--- Q55_1 9.956 -.081
Q18_1 <--- Q40_1 8.524 -.080
Q18_1 <--- Q25_1 18.840 .113
Q18_1 <--- Q20_1 7.544 .082
Q18_1 <--- Q21_1 9.473 .098
Q18_1 <--- Q13_1 18.947 .166
Q18_1 <--- Q5_1 5.255 .059
Q18_1 <--- Q1_1 9.881 .096
Q13_1 <--- Factor4 8.051 .098
Q13_1 <--- Factor2 14.657 .133
Q13_1 <--- Q14_1 5.693 .084
Q13_1 <--- Q63_1 5.780 .083
Q13_1 <--- Q51_1 10.282 .110
Q13_1 <--- Q45_1 5.453 .083
Q13_1 <--- Q44_1 12.804 .146
Q13_1 <--- Q43_1 7.083 .094
Q13_1 <--- Q32_1 5.338 .095
Q13_1 <--- Q28_1 6.742 .105
Q13_1 <--- Q16_1 8.394 .086
Q13_1 <--- Q69_1 4.204 .054
Q13_1 <--- Q26_1 4.626 .060
Q13_1 <--- Q68_1 9.345 .103
Q13_1 <--- Q65_1 8.377 .083
Q13_1 <--- Q64_1 8.256 .097
Q13_1 <--- Q60_1 6.052 .078
Q13_1 <--- Q42_1 19.454 .164
Q13_1 <--- Q37_1 12.885 .140
Q13_1 <--- Q34_1 15.388 .152
Q13_1 <--- Q31_1 9.794 .087
Q13_1 <--- Q27_1 27.108 .155
Q13_1 <--- Q19_1 5.236 .094
Q13_1 <--- Q15_1 9.935 .106
Q13_1 <--- Q3_1 8.643 .083
Q13_1 <--- Q55_1 5.949 -.064
Q13_1 <--- Q36_1 4.526 -.065
Q13_1 <--- Q20_1 6.759 .080
Q13_1 <--- Q18_1 14.133 .132
Q13_1 <--- Q12_1 11.909 .093
Q12_1 <--- Factor2 5.583 .124
Q12_1 <--- Q63_1 5.920 .127
Q12_1 <--- Q69_1 5.085 -.090
Q12_1 <--- Q24_1 5.545 -.089
Q12_1 <--- Q10_1 7.233 -.093
Q12_1 <--- Q65_1 21.855 .202
Q12_1 <--- Q64_1 5.518 .120
Q12_1 <--- Q42_1 6.002 .138
Q12_1 <--- Q38_1 9.604 .145
Q12_1 <--- Q37_1 13.359 .215
Q12_1 <--- Q34_1 19.220 .257
Q12_1 <--- Q19_1 8.968 .185
Q12_1 <--- Q15_1 5.574 .120
Q12_1 <--- Q2_1 5.891 .106
Q12_1 <--- Q13_1 11.046 .197
Q12_1 <--- Q11_1 4.855 .119
Q11_1 <--- Q17_1 4.145 .077
Q11_1 <--- Q3_1 5.876 .067
Q11_1 <--- Q12_1 5.749 .063
Q11_1 <--- Q9_1 21.577 .156
Q11_1 <--- Q4_1 8.907 .084
Q9_1 <--- Factor5 11.759 .123
Q9_1 <--- Factor3 5.604 -.081
Q9_1 <--- Q59_1 4.294 .059
Q9_1 <--- Q14_1 16.126 .140
Q9_1 <--- Q43_1 4.216 -.072
Q9_1 <--- Q35_1 4.571 -.068
Q9_1 <--- Q67_1 5.145 -.055
Q9_1 <--- Q61_1 6.013 -.064
Q9_1 <--- Q58_1 6.050 -.055
Q9_1 <--- Q52_1 9.419 -.081
Q9_1 <--- Q24_1 9.772 -.077
Q9_1 <--- Q15_1 5.635 .079
Q9_1 <--- Q3_1 5.367 .064
Q9_1 <--- Q71_1 7.449 -.074
Q9_1 <--- Q55_1 4.209 -.053
Q9_1 <--- Q11_1 37.982 .217
Q9_1 <--- Q8_1 37.401 .177
Q9_1 <--- Q4_1 6.079 .069
Q8_1 <--- Factor5 4.560 -.085
Q8_1 <--- Q59_1 5.858 -.076
Q8_1 <--- Q46_1 9.941 -.107
Q8_1 <--- Q29_1 5.221 -.082
Q8_1 <--- Q69_1 4.779 -.062
Q8_1 <--- Q52_1 13.669 -.108
Q8_1 <--- Q50_1 4.818 -.064
Q8_1 <--- Q24_1 7.579 -.075
Q8_1 <--- Q60_1 5.403 -.080
Q8_1 <--- Q38_1 8.097 -.096
Q8_1 <--- Q71_1 9.452 -.092
Q8_1 <--- Q48_1 7.359 .096
Q8_1 <--- Q41_1 4.118 -.061
Q8_1 <--- Q13_1 4.987 .095
Q8_1 <--- Q12_1 4.106 .059
Q8_1 <--- Q9_1 42.087 .240
Q8_1 <--- Q1_1 6.556 .087
Q5_1 <--- Factor5 8.069 -.127
Q5_1 <--- Factor4 7.881 -.119
Q5_1 <--- Factor3 4.116 -.086
Q5_1 <--- Factor2 9.317 -.130
Q5_1 <--- Q59_1 7.228 -.095
Q5_1 <--- Q29_1 8.830 -.121
Q5_1 <--- Q14_1 11.041 -.144
Q5_1 <--- Q63_1 6.433 -.107
Q5_1 <--- Q51_1 6.020 -.103
Q5_1 <--- Q45_1 9.509 -.135
Q5_1 <--- Q44_1 26.761 -.258
Q5_1 <--- Q43_1 4.556 -.092
Q5_1 <--- Q35_1 4.255 -.082
Q5_1 <--- Q32_1 6.214 -.125
Q5_1 <--- Q28_1 5.295 -.114
Q5_1 <--- Q61_1 4.322 -.067
Q5_1 <--- Q52_1 9.153 -.099
Q5_1 <--- Q26_1 6.369 -.086
Q5_1 <--- Q65_1 10.184 -.112
Q5_1 <--- Q64_1 11.475 -.140
Q5_1 <--- Q60_1 10.970 -.129
Q5_1 <--- Q42_1 7.221 -.123
Q5_1 <--- Q38_1 4.895 -.084
Q5_1 <--- Q37_1 13.641 -.176
Q5_1 <--- Q34_1 14.366 -.180
Q5_1 <--- Q27_1 5.562 -.086
Q5_1 <--- Q19_1 14.105 -.188
Q5_1 <--- Q17_1 12.062 -.164
Q5_1 <--- Q66_1 11.384 .132
Q5_1 <--- Q25_1 34.137 .191
Q5_1 <--- Q18_1 6.033 .106
Q5_1 <--- Q12_1 5.045 -.074
Q5_1 <--- Q11_1 7.513 -.120
Q5_1 <--- Q1_1 43.789 .255
Q4_1 <--- Q16_1 6.622 .093
Q4_1 <--- Q52_1 6.284 .082
Q4_1 <--- Q24_1 12.708 .109
Q4_1 <--- Q10_1 10.619 .091
Q4_1 <--- Q65_1 4.222 -.072
Q4_1 <--- Q34_1 5.769 -.114
Q4_1 <--- Q3_1 7.219 .092
Q4_1 <--- Q55_1 6.431 .081
Q4_1 <--- Q48_1 4.574 -.085
Q4_1 <--- Q41_1 4.264 .070
Q4_1 <--- Q11_1 8.270 .126
Q4_1 <--- Q9_1 5.660 .099
Q1_1 <--- Q46_1 6.168 -.088
Q1_1 <--- Q29_1 5.735 -.091
Q1_1 <--- Q69_1 7.029 -.080
Q1_1 <--- Q67_1 4.328 -.058
Q1_1 <--- Q31_1 6.591 .081
Q1_1 <--- Q27_1 4.040 .068
Q1_1 <--- Q3_1 5.227 .073
Q1_1 <--- Q2_1 6.670 .085
Q1_1 <--- Q66_1 29.388 .197
Q1_1 <--- Q55_1 4.173 -.061
Q1_1 <--- Q36_1 4.057 -.070
Q1_1 <--- Q25_1 69.006 .253
Q1_1 <--- Q18_1 8.944 .120
Q1_1 <--- Q8_1 5.049 .075
Q1_1 <--- Q5_1 34.522 .176
Minimization History (Default model)
Iteration Negative
eigenvalues
Condition # Smallest
eigenvalue
Diameter F NTries Ratio
0 e 16 -4.215 9999.000 24798.825 0 9999.000
1 e* 13 -.507 3.282 14620.008 17 .275
2 e 1 -.169 2.251 10179.731 5 .823
3 e* 0 62.962 1.297 8241.794 4 .887
4 e 0 81.431 1.139 7849.450 1 .825
5 e 0 101.995 .483 7776.366 1 1.100
6 e 0 122.081 .166 7773.742 1 1.045
7 e 0 125.675 .017 7773.726 1 1.006
8 e 0 125.704 .000 7773.726 1 1.000
Pairwise Parameter Comparisons (Default model)
Variance-covariance Matrix of Estimates (Default model)
par_1 par_2 par_3 par_4 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 par_33 par_34 par_35 par_36 par_37 par_38 par_39 par_40 par_41 par_42 par_43 par_44 par_45 par_46 par_47 par_48 par_49 par_50 par_51 par_52 par_53 par_54 par_55 par_56 par_57 par_58 par_59 par_60 par_61 par_62 par_63 par_64 par_65 par_66 par_67 par_68 par_69 par_70 par_71 par_72 par_73 par_74 par_75 par_76 par_77 par_78 par_79 par_80 par_81 par_82 par_83 par_84 par_85 par_86 par_87 par_88 par_89 par_90 par_91 par_92 par_93 par_94 par_95 par_96 par_97 par_98 par_99 par_100 par_101 par_102 par_103 par_104 par_105 par_106 par_107 par_108 par_109 par_110 par_111 par_112 par_113 par_114 par_115 par_116 par_117 par_118 par_119 par_120 par_121 par_122 par_123 par_124 par_125 par_126 par_127 par_128 par_129 par_130 par_131 par_132 par_133 par_134 par_135 par_136 par_137 par_138 par_139 par_140 par_141 par_142 par_143 par_144 par_145 par_146 par_147 par_148 par_149 par_150 par_151 par_152 par_153 par_154 par_155 par_156 par_157 par_158 par_159
par_1 .002
par_2 .000 .002
par_3 .001 .001 .003
par_4 .001 .001 .001 .002
par_5 .000 .000 .001 .001 .002
par_6 .000 .000 .000 .000 .000 .002
par_7 .000 .000 .000 .000 .000 .000 .003
par_8 .000 .000 .000 .000 .000 .000 .000 .001
par_9 .000 .000 .001 .001 .000 .000 .000 .000 .001
par_10 .000 .000 .001 .001 .000 .000 .000 .000 .000 .002
par_11 .000 .000 .001 .001 .000 .000 .000 .000 .000 .000 .002
par_12 .001 .001 .001 .001 .001 .000 .000 .000 .000 .001 .000 .003
par_13 .001 .001 .001 .001 .001 .000 .000 .000 .000 .001 .000 .001 .002
par_14 .001 .001 .001 .001 .001 .000 .000 .000 .001 .001 .001 .001 .001 .002
par_15 .001 .001 .001 .001 .001 .000 .000 .000 .001 .001 .001 .001 .001 .001 .002
par_16 .001 .001 .001 .001 .001 .000 .000 .000 .001 .001 .001 .001 .001 .001 .001 .002
par_17 .000 .001 .001 .001 .000 .000 .000 .000 .000 .000 .000 .001 .001 .001 .001 .001 .002
par_18 .001 .001 .001 .001 .001 .000 .000 .000 .001 .001 .001 .001 .001 .001 .001 .001 .001 .002
par_19 .000 .001 .001 .001 .000 .000 .000 .000 .000 .000 .000 .001 .001 .001 .001 .001 .001 .001 .002
par_20 .001 .001 .001 .001 .001 .000 .000 .000 .001 .001 .001 .001 .001 .001 .001 .001 .001 .001 .001 .002
par_21 .001 .001 .001 .001 .001 .000 .000 .000 .000 .001 .000 .001 .001 .001 .001 .001 .001 .001 .001 .001 .002
par_22 .001 .001 .001 .001 .001 .000 .000 .000 .001 .001 .001 .001 .001 .001 .001 .001 .001 .001 .001 .001 .001 .002
par_23 .001 .001 .001 .001 .001 .000 .000 .000 .001 .001 .001 .001 .001 .001 .001 .001 .001 .001 .001 .001 .001 .001 .003
par_24 .001 .001 .001 .001 .001 .000 .000 .000 .001 .001 .001 .001 .001 .001 .001 .001 .001 .001 .001 .001 .001 .001 .001 .002
par_25 .000 .001 .001 .001 .000 .000 .000 .000 .000 .000 .000 .001 .001 .001 .001 .001 .001 .001 .001 .001 .001 .001 .001 .001 .002
par_26 .000 .000 .001 .001 .000 .000 .000 .000 .000 .000 .000 .001 .000 .001 .001 .001 .000 .001 .000 .001 .001 .001 .001 .001 .000 .002
par_27 .001 .001 .001 .001 .001 .000 .000 .000 .001 .001 .001 .001 .001 .001 .001 .001 .001 .001 .001 .001 .001 .001 .001 .001 .001 .001 .002
par_28 .001 .001 .001 .001 .001 .000 .000 .000 .001 .001 .001 .001 .001 .001 .001 .001 .001 .001 .001 .001 .001 .001 .001 .001 .001 .001 .001 .002
par_29 .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 .000 .000 .001
par_30 .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 .000 .000 .000 .002
par_31 .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 .000 .000 .000 .001 .005
par_32 .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 .000 .000 .000 .001 .000 .002
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par_157 .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 .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 .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 .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 .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 .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 .002
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Critical Ratios for Differences between Parameters (Default model)
par_1 par_2 par_3 par_4 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 par_33 par_34 par_35 par_36 par_37 par_38 par_39 par_40 par_41 par_42 par_43 par_44 par_45 par_46 par_47 par_48 par_49 par_50 par_51 par_52 par_53 par_54 par_55 par_56 par_57 par_58 par_59 par_60 par_61 par_62 par_63 par_64 par_65 par_66 par_67 par_68 par_69 par_70 par_71 par_72 par_73 par_74 par_75 par_76 par_77 par_78 par_79 par_80 par_81 par_82 par_83 par_84 par_85 par_86 par_87 par_88 par_89 par_90 par_91 par_92 par_93 par_94 par_95 par_96 par_97 par_98 par_99 par_100 par_101 par_102 par_103 par_104 par_105 par_106 par_107 par_108 par_109 par_110 par_111 par_112 par_113 par_114 par_115 par_116 par_117 par_118 par_119 par_120 par_121 par_122 par_123 par_124 par_125 par_126 par_127 par_128 par_129 par_130 par_131 par_132 par_133 par_134 par_135 par_136 par_137 par_138 par_139 par_140 par_141 par_142 par_143 par_144 par_145 par_146 par_147 par_148 par_149 par_150 par_151 par_152 par_153 par_154 par_155 par_156 par_157 par_158 par_159
par_1 .000
par_2 1.943 .000
par_3 4.379 2.383 .000
par_4 3.086 .989 -1.542 .000
par_5 .230 -1.851 -4.448 -3.083 .000
par_6 -6.703 -8.253 -10.399 -9.628 -7.355 .000
par_7 -1.762 -3.368 -5.427 -4.367 -2.039 4.054 .000
par_8 -4.383 -6.186 -8.597 -7.633 -4.969 2.886 -1.847 .000
par_9 -.483 -2.538 -5.128 -3.820 -.774 6.729 1.454 4.250 .000
par_10 .079 -1.840 -4.245 -2.957 -.142 6.681 1.809 4.390 .559 .000
par_11 -.474 -2.432 -4.901 -3.628 -.745 6.386 1.387 3.986 -.017 -.547 .000
par_12 2.666 .769 -1.543 -.143 2.617 8.707 3.958 6.751 3.277 2.558 3.146 .000
par_13 2.635 .428 -2.242 -.664 2.610 9.594 4.028 7.500 3.402 2.504 3.208 -.443 .000
par_14 4.694 2.373 -.358 1.415 4.860 11.493 5.705 9.666 5.667 4.522 5.320 1.409 2.260 .000
par_15 3.642 1.580 -.896 .654 3.674 9.978 4.821 8.065 4.389 3.510 4.179 .733 1.339 -.664 .000
par_16 4.153 2.065 -.426 1.166 4.224 10.460 5.249 8.602 4.943 4.012 4.701 1.197 1.888 -.116 .496 .000
par_17 1.633 -.244 -2.558 -1.215 1.520 7.794 3.077 5.731 2.184 1.538 2.101 -.985 -.684 -2.560 -1.784 -2.254 .000
par_18 3.313 1.040 -1.681 -.024 3.353 10.298 4.588 8.284 4.162 3.166 3.912 .131 .705 -1.595 -.732 -1.288 1.278 .000
par_19 1.323 -.783 -3.375 -1.929 1.185 8.271 2.931 6.032 1.952 1.218 1.854 -1.586 -1.375 -3.583 -2.550 -3.090 -.491 -2.085 .000
par_20 4.139 1.958 -.638 1.014 4.228 10.699 5.248 8.816 4.986 3.990 4.716 1.056 1.769 -.352 .315 -.204 2.155 1.134 3.034 .000
par_21 3.136 .897 -1.793 -.166 3.156 10.070 4.440 8.038 3.954 2.995 3.723 .003 .541 -1.726 -.860 -1.411 1.138 -.157 1.908 -1.265 .000
par_22 3.865 1.530 -1.244 .485 3.965 10.894 5.040 8.948 4.792 3.704 4.489 .584 1.274 -1.070 -.252 -.817 1.752 .567 2.664 -.633 .718 .000
par_23 4.716 2.703 .310 1.879 4.809 10.719 5.711 8.951 5.491 4.575 5.244 1.850 2.602 .716 1.222 .752 2.868 2.045 3.729 .979 2.153 1.612 .000
par_24 4.379 2.031 -.739 1.031 4.526 11.319 5.452 9.446 5.350 4.209 5.011 1.066 1.862 -.457 .278 -.282 2.233 1.173 3.225 -.065 1.314 .625 -1.105 .000
par_25 1.707 -.360 -2.895 -1.446 1.599 8.447 3.225 6.282 2.343 1.599 2.230 -1.162 -.873 -2.999 -2.066 -2.589 -.089 -1.549 .446 -2.505 -1.386 -2.096 -3.239 -2.640 .000
par_26 -.152 -2.101 -4.551 -3.263 -.395 6.608 1.643 4.261 .324 -.229 .323 -2.822 -2.821 -4.899 -3.818 -4.332 -1.784 -3.508 -1.494 -4.328 -3.327 -4.069 -4.889 -4.586 -1.876 .000
par_27 4.447 2.352 -.139 1.473 4.540 10.715 5.493 8.892 5.257 4.302 4.999 1.475 2.214 .218 .795 .302 2.532 1.621 3.405 .520 1.739 1.157 -.464 .622 2.896 4.628 .000
par_28 4.466 2.272 -.327 1.351 4.582 10.989 5.516 9.147 5.339 4.311 5.049 1.359 2.131 .016 .642 .124 2.459 1.503 3.385 .346 1.629 1.010 -.667 .441 2.845 4.657 -.192 .000
par_29 -1.013 -2.970 -5.402 -4.202 -1.335 6.320 .988 3.676 -.589 -1.078 -.537 -3.659 -3.834 -5.922 -4.726 -5.241 -2.619 -4.545 -2.457 -5.290 -4.349 -5.130 -5.739 -5.637 -2.815 -.863 -5.531 -5.615 .000
par_30 2.924 1.068 -1.138 .209 2.883 9.099 4.197 7.047 3.533 2.817 3.400 .320 .783 -.955 -.358 -.794 1.271 .243 1.877 -.646 .361 -.178 -1.424 -.630 1.462 3.079 -1.055 -.929 4.535 .000
par_31 .224 -1.145 -2.847 -1.868 .078 5.023 1.531 3.216 .554 .167 .551 -1.686 -1.501 -2.804 -2.278 -2.615 -.948 -1.918 -.655 -2.536 -1.820 -2.245 -3.071 -2.575 -.930 .329 -2.815 -2.750 .975 -2.055 .000
par_32 .372 -1.399 -3.572 -2.372 .188 6.657 1.974 4.404 .828 .296 .807 -2.071 -1.928 -3.684 -2.883 -3.326 -1.136 -2.500 -.791 -3.269 -2.358 -2.956 -3.863 -3.397 -1.147 .512 -3.583 -3.550 1.470 -2.642 .061 .000
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par_34 -3.725 -5.452 -7.702 -6.733 -4.211 3.253 -1.413 .477 -3.536 -3.745 -3.335 -6.015 -6.536 -8.484 -7.162 -7.650 -5.053 -7.229 -5.211 -7.789 -7.021 -7.804 -8.024 -8.259 -5.472 -3.604 -7.917 -8.090 -3.320 -6.949 -2.960 -4.132 -1.240 .000
par_35 .751 -1.202 -3.571 -2.271 .575 7.661 2.412 5.278 1.292 .661 1.241 -1.935 -1.784 -3.746 -2.829 -3.316 -.919 -2.424 -.519 -3.266 -2.264 -2.939 -3.890 -3.432 -.918 .908 -3.598 -3.577 2.117 -2.580 .318 .351 4.167 5.044 .000
par_36 3.016 1.138 -1.089 .274 2.982 9.250 4.283 7.191 3.640 2.906 3.499 .381 .858 -.899 -.300 -.741 1.341 .313 1.963 -.589 .431 -.112 -1.378 -.570 1.541 3.173 -1.004 -.875 4.677 .066 2.116 2.736 6.436 7.105 2.687 .000
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par_38 -.673 -2.666 -5.127 -3.895 -.973 6.725 1.289 4.096 -.214 -.745 -.184 -3.372 -3.502 -5.616 -4.432 -4.952 -2.320 -4.218 -2.114 -4.989 -4.023 -4.806 -5.467 -5.322 -2.487 -.518 -5.246 -5.319 .444 -4.237 -.730 -1.132 2.719 3.766 -1.739 -4.378 2.122 .000
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par_41 1.460 -.476 -2.806 -1.477 1.334 8.165 2.991 5.887 2.034 1.363 1.951 -1.220 -.954 -2.854 -2.044 -2.517 -.219 -1.564 .261 -2.431 -1.418 -2.049 -3.115 -2.532 -.148 1.618 -2.794 -2.735 2.936 -1.762 .863 1.093 4.895 5.701 .848 -1.856 3.917 2.584 2.640 1.054 .000
par_42 .371 -1.553 -3.901 -2.633 .170 7.250 2.081 4.843 .879 .288 .850 -2.269 -2.171 -4.120 -3.178 -3.662 -1.262 -2.812 -.909 -3.627 -2.649 -3.327 -4.219 -3.814 -1.295 .525 -3.942 -3.935 1.631 -2.942 .038 -.036 3.670 4.579 -.436 -3.053 2.936 1.249 1.545 -.340 -1.261 .000
par_43 .991 -.773 -2.923 -1.701 .844 7.147 2.495 4.970 1.474 .909 1.429 -1.455 -1.230 -2.949 -2.219 -2.653 -.530 -1.783 -.124 -2.571 -1.651 -2.221 -3.208 -2.657 -.489 1.132 -2.907 -2.848 2.175 -1.958 .548 .640 3.925 4.734 .362 -2.043 3.295 1.852 2.054 .502 -.383 .736 .000
par_44 2.980 .840 -1.665 -.159 2.967 10.102 4.334 7.876 3.739 2.848 3.543 -.002 .493 -1.561 -.801 -1.304 1.073 -.148 1.779 -1.162 -.005 -.655 -1.992 -1.189 1.292 3.163 -1.604 -1.491 5.127 -.422 1.938 2.663 7.233 7.875 2.658 -.506 5.489 4.784 4.318 3.104 1.656 3.090 1.863 .000
par_45 3.928 2.210 .176 1.470 3.923 9.509 5.025 7.652 4.509 3.822 4.368 1.495 2.037 .482 .931 .536 2.375 1.564 3.009 .712 1.660 1.200 -.084 .790 2.616 4.072 .297 .455 5.476 1.334 2.972 3.716 6.995 7.593 3.732 1.287 5.967 5.219 5.000 4.043 2.987 4.047 3.085 1.885 .000
par_46 3.747 1.708 -.672 .816 3.772 10.388 4.950 8.308 4.489 3.615 4.284 .882 1.480 -.416 .188 -.282 1.906 .900 2.659 -.102 1.022 .448 -.978 -.052 2.184 3.922 -.565 -.410 5.843 .621 2.597 3.493 7.740 8.332 3.576 .558 6.095 5.538 5.033 4.037 2.634 3.963 2.732 1.237 -.884 .000
par_47 4.610 2.713 .517 1.939 4.657 10.762 5.676 8.799 5.310 4.483 5.109 1.924 2.587 .892 1.344 .919 2.876 2.076 3.641 1.124 2.176 1.685 .240 1.235 3.193 4.773 .660 .846 5.944 1.636 3.237 4.055 7.608 8.262 4.090 1.592 6.426 5.670 5.405 4.425 3.317 4.417 3.400 2.216 .302 1.211 .000
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par_49 5.012 3.023 .742 2.237 5.097 11.403 6.038 9.425 5.783 4.873 5.543 2.194 2.934 1.165 1.610 1.170 3.182 2.405 4.027 1.394 2.507 2.002 .455 1.529 3.548 5.186 .901 1.104 6.466 1.900 3.467 4.409 8.207 8.848 4.493 1.858 6.827 6.186 5.810 4.881 3.675 4.831 3.723 2.555 .499 1.483 .248 6.978 .000
par_50 3.107 1.408 -.612 .638 3.063 8.802 4.304 6.852 3.651 3.010 3.539 .714 1.169 -.385 .115 -.279 1.589 .688 2.154 -.129 .791 .317 -.871 -.088 1.776 3.248 -.516 -.383 4.185 .427 2.203 2.666 5.705 6.396 2.571 .376 4.965 3.920 3.915 2.786 1.897 2.880 2.081 .806 -.730 -.044 -1.240 5.031 -1.511 .000
par_51 6.589 4.816 2.784 4.182 6.698 12.112 7.406 10.388 7.288 6.458 7.060 4.044 4.845 3.334 3.604 3.223 4.928 4.405 5.770 3.471 4.481 4.076 2.534 3.667 5.335 6.744 2.984 3.219 7.865 3.800 4.927 6.016 9.337 9.890 6.158 3.775 8.115 7.631 7.247 6.528 5.431 6.445 5.396 4.533 2.422 3.533 2.715 8.334 2.614 3.607 .000
par_52 1.172 -.184 -1.852 -.864 1.058 5.871 2.383 4.124 1.525 1.110 1.501 -.731 -.478 -1.741 -1.276 -1.603 -.007 -.878 .337 -1.504 -.787 -1.188 -2.069 -1.510 .056 1.278 -1.798 -1.712 1.913 -.987 .792 .872 3.137 3.789 .679 -1.038 2.894 1.686 1.908 .776 .158 .937 .405 -.792 -1.897 -1.434 -2.427 2.912 -2.659 -1.365 -4.296 .000
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Model Fit Summary
CMIN
Model NPAR CMIN DF P CMIN/DF
Default model 159 7773.726 2616 .000 2.972
Saturated model 2775 .000 0
Independence model 74 27247.757 2701 .000 10.088
RMR, GFI
Model RMR GFI AGFI PGFI
Default model .092 .673 .653 .634
Saturated model .000 1.000
Independence model .453 .094 .069 .091
Baseline Comparisons
Model NFI
Delta1
RFI
rho1
IFI
Delta2
TLI
rho2
CFI
Default model .715 .705 .791 .783 .790
Saturated model 1.000 1.000 1.000
Independence model .000 .000 .000 .000 .000
Parsimony-Adjusted Measures
Model PRATIO PNFI PCFI
Default model .969 .692 .765
Saturated model .000 .000 .000
Independence model 1.000 .000 .000
NCP
Model NCP LO 90 HI 90
Default model 5157.726 4896.731 5425.760
Saturated model .000 .000 .000
Independence model 24546.757 24020.612 25079.401
FMIN
Model FMIN F0 LO 90 HI 90
Default model 15.455 10.254 9.735 10.787
Saturated model .000 .000 .000 .000
Independence model 54.170 48.801 47.755 49.860
RMSEA
Model RMSEA LO 90 HI 90 PCLOSE
Default model .063 .061 .064 .000
Independence model .134 .133 .136 .000
AIC
Model AIC BCC BIC CAIC
Default model 8091.726 8147.451 8763.116 8922.116
Saturated model 5550.000 6522.547 17267.649 20042.649
Independence model 27395.757 27421.691 27708.227 27782.227
ECVI
Model ECVI LO 90 HI 90 MECVI
Default model 16.087 15.568 16.620 16.198
Saturated model 11.034 11.034 11.034 12.967
Independence model 54.465 53.419 55.524 54.516
HOELTER
Model HOELTER
.05
HOELTER
.01
Default model 178 181
Independence model 53 54
Execution time summary
Minimization: .306
Miscellaneous: 8.438
Bootstrap: .000
Total: 8.744