八因子.amw

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Analysis Summary

Date and Time

Date: 2025年10月28日

Time: 13:42:22

Title

八因子: 2025年10月28日 13:42

Groups

Group number 1 (Group number 1)

Notes for Group (Group number 1)

The model is recursive.

Sample size = 600

Variable Summary (Group number 1)

Your model contains the following variables (Group number 1)

Observed, endogenous variables

AIS1

AIS2

AIS3

AIS4

AIS5

KA1

KA2

KA3

KA4

KH1

KH2

KH3

KH4

JS1

JS2

JS3

JS4

JI1

JI2

JI3

JI4

THR1

THR2

THR3

THR4

THR5

THR6

THR7

THR8

THR9

THR10

PJC1

PJC2

PJC3

PJC4

PJC5

PJC6

PJC7

PJC8

PJC9

PJC10

PJC11

PJC12

PJC13

PJC14

PJC15

NJC1

NJC2

NJC3

NJC4

NJC5

NJC6

Unobserved, exogenous variables

冲击

获取

隐藏

e10

e11

e12

e13

安全

e14

e15

e16

e17

不安

e18

e19

e20

e21

繁荣

e22

e23

e24

e25

e26

e27

e28

e29

e30

e31

促进

e32

e33

e34

e35

e36

e37

e38

e39

e40

e41

e42

e43

e44

e45

e46

防御

e47

e48

e49

e50

e51

e52

Variable counts (Group number 1)

Number of variables in your model:	112
Number of observed variables:	52
Number of unobserved variables:	60
Number of exogenous variables:	60
Number of endogenous variables:	52

Parameter Summary (Group number 1)

	Weights	Covariances	Variances	Means	Intercepts	Total
Fixed	60	0	0	0	0	60
Labeled	0	0	0	0	0	0
Unlabeled	44	28	60	0	0	132
Total	104	28	60	0	0	192

Models

Default model (Default model)

Notes for Model (Default model)

Computation of degrees of freedom (Default model)

Number of distinct sample moments:	1378
Number of distinct parameters to be estimated:	132
Degrees of freedom (1378 - 132):	1246

Result (Default model)

Minimum was achieved

Chi-square = 1342.398

Degrees of freedom = 1246

Probability level = .029

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
AIS1	<---	冲击	1.000
AIS2	<---	冲击	1.006	.073	13.752	***
AIS3	<---	冲击	.829	.067	12.300	***
AIS4	<---	冲击	.872	.068	12.891	***
AIS5	<---	冲击	.849	.070	12.132	***
KA1	<---	获取	1.000
KA2	<---	获取	1.128	.087	12.920	***
KA3	<---	获取	1.127	.087	12.881	***
KA4	<---	获取	1.114	.087	12.734	***
KH1	<---	隐藏	1.000
KH2	<---	隐藏	.977	.066	14.735	***
KH3	<---	隐藏	.933	.063	14.822	***
KH4	<---	隐藏	.884	.066	13.419	***
JS1	<---	安全	1.000
JS2	<---	安全	.890	.069	12.944	***
JS3	<---	安全	1.063	.072	14.750	***
JS4	<---	安全	.988	.068	14.633	***
JI1	<---	不安	1.000
JI2	<---	不安	.907	.060	15.024	***
JI3	<---	不安	.855	.058	14.618	***
JI4	<---	不安	.919	.060	15.300	***
THR1	<---	繁荣	1.000
THR2	<---	繁荣	.885	.114	7.786	***
THR3	<---	繁荣	.996	.121	8.256	***
THR4	<---	繁荣	.848	.119	7.114	***
THR5	<---	繁荣	1.253	.138	9.050	***
THR6	<---	繁荣	1.044	.128	8.148	***
THR7	<---	繁荣	.795	.109	7.274	***
THR8	<---	繁荣	.770	.116	6.622	***
THR9	<---	繁荣	.887	.114	7.744	***
THR10	<---	繁荣	1.088	.129	8.450	***
PJC1	<---	促进	1.000
PJC2	<---	促进	.926	.168	5.500	***
PJC3	<---	促进	.996	.177	5.620	***
PJC4	<---	促进	.879	.168	5.228	***
PJC5	<---	促进	.957	.171	5.608	***
PJC6	<---	促进	1.415	.215	6.577	***
PJC7	<---	促进	1.363	.209	6.520	***
PJC8	<---	促进	1.055	.183	5.781	***
PJC9	<---	促进	1.066	.180	5.911	***
PJC10	<---	促进	1.111	.184	6.044	***
PJC11	<---	促进	1.083	.183	5.903	***
PJC12	<---	促进	.986	.174	5.679	***
PJC13	<---	促进	1.175	.188	6.239	***
PJC14	<---	促进	1.081	.184	5.869	***
PJC15	<---	促进	1.177	.186	6.327	***
NJC1	<---	防御	1.000
NJC2	<---	防御	1.053	.092	11.503	***
NJC3	<---	防御	.916	.087	10.530	***
NJC4	<---	防御	1.131	.093	12.183	***
NJC5	<---	防御	1.053	.090	11.686	***
NJC6	<---	防御	1.072	.089	12.011	***

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

			Estimate
AIS1	<---	冲击	.693
AIS2	<---	冲击	.687
AIS3	<---	冲击	.598
AIS4	<---	冲击	.632
AIS5	<---	冲击	.588
KA1	<---	获取	.645
KA2	<---	获取	.684
KA3	<---	获取	.681
KA4	<---	获取	.669
KH1	<---	隐藏	.729
KH2	<---	隐藏	.700
KH3	<---	隐藏	.706
KH4	<---	隐藏	.628
JS1	<---	安全	.715
JS2	<---	安全	.614
JS3	<---	安全	.721
JS4	<---	安全	.713
JI1	<---	不安	.745
JI2	<---	不安	.693
JI3	<---	不安	.672
JI4	<---	不安	.708
THR1	<---	繁荣	.484
THR2	<---	繁荣	.454
THR3	<---	繁荣	.499
THR4	<---	繁荣	.397
THR5	<---	繁荣	.591
THR6	<---	繁荣	.488
THR7	<---	繁荣	.410
THR8	<---	繁荣	.359
THR9	<---	繁荣	.450
THR10	<---	繁荣	.519
PJC1	<---	促进	.359
PJC2	<---	促进	.343
PJC3	<---	促进	.356
PJC4	<---	促进	.315
PJC5	<---	促进	.355
PJC6	<---	促进	.496
PJC7	<---	促进	.485
PJC8	<---	促进	.375
PJC9	<---	促进	.391
PJC10	<---	促进	.409
PJC11	<---	促进	.390
PJC12	<---	促进	.363
PJC13	<---	促进	.437
PJC14	<---	促进	.386
PJC15	<---	促进	.451
NJC1	<---	防御	.619
NJC2	<---	防御	.612
NJC3	<---	防御	.544
NJC4	<---	防御	.666
NJC5	<---	防御	.626
NJC6	<---	防御	.652

Covariances: (Group number 1 - Default model)

			Estimate	S.E.	C.R.	P	Label
冲击	<-->	获取	.195	.024	8.002	***
冲击	<-->	隐藏	.196	.026	7.532	***
冲击	<-->	安全	.136	.023	5.868	***
冲击	<-->	不安	.129	.026	4.925	***
冲击	<-->	繁荣	-.002	.015	-.113	.910
冲击	<-->	促进	.009	.011	.773	.440
冲击	<-->	防御	.035	.019	1.848	.065
获取	<-->	隐藏	.077	.020	3.805	***
获取	<-->	安全	.216	.025	8.739	***
获取	<-->	不安	.045	.022	2.075	.038
获取	<-->	繁荣	.047	.014	3.288	.001
获取	<-->	促进	.014	.010	1.373	.170
获取	<-->	防御	.011	.016	.703	.482
隐藏	<-->	安全	.062	.022	2.843	.004
隐藏	<-->	不安	.294	.032	9.282	***
隐藏	<-->	繁荣	-.043	.016	-2.642	.008
隐藏	<-->	促进	.012	.012	1.039	.299
隐藏	<-->	防御	.035	.019	1.862	.063
安全	<-->	不安	.043	.024	1.820	.069
安全	<-->	繁荣	.081	.017	4.790	***
安全	<-->	促进	.010	.011	.875	.381
安全	<-->	防御	.002	.018	.098	.922
不安	<-->	繁荣	-.119	.021	-5.664	***
不安	<-->	促进	.002	.013	.189	.850
不安	<-->	防御	.062	.021	2.871	.004
繁荣	<-->	促进	.004	.008	.452	.651
繁荣	<-->	防御	-.011	.013	-.821	.412
促进	<-->	防御	.002	.010	.235	.814

Correlations: (Group number 1 - Default model)

			Estimate
冲击	<-->	获取	.543
冲击	<-->	隐藏	.464
冲击	<-->	安全	.337
冲击	<-->	不安	.271
冲击	<-->	繁荣	-.006
冲击	<-->	促进	.042
冲击	<-->	防御	.097
获取	<-->	隐藏	.209
获取	<-->	安全	.620
获取	<-->	不安	.110
获取	<-->	繁荣	.190
获取	<-->	促进	.076
获取	<-->	防御	.037
隐藏	<-->	安全	.150
隐藏	<-->	不安	.609
隐藏	<-->	繁荣	-.146
隐藏	<-->	促进	.056
隐藏	<-->	防御	.097
安全	<-->	不安	.094
安全	<-->	繁荣	.291
安全	<-->	促进	.047
安全	<-->	防御	.005
不安	<-->	繁荣	-.362
不安	<-->	促进	.010
不安	<-->	防御	.151
繁荣	<-->	促进	.025
繁荣	<-->	防御	-.044
促进	<-->	防御	.013

Variances: (Group number 1 - Default model)

	Estimate	S.E.	C.R.	P	Label
冲击	.415	.048	8.679	***
获取	.312	.039	7.912	***
隐藏	.431	.046	9.341	***
安全	.391	.043	9.068	***
不安	.542	.056	9.675	***
繁荣	.197	.036	5.483	***
促进	.108	.028	3.905	***
防御	.307	.041	7.495	***
e1	.450	.034	13.327	***
e2	.471	.035	13.454	***
e3	.513	.034	14.924	***
e4	.474	.033	14.444	***
e5	.566	.038	15.041	***
e6	.438	.031	14.166	***
e7	.452	.034	13.413	***
e8	.459	.034	13.480	***
e9	.477	.035	13.714	***
e10	.379	.030	12.657	***
e11	.427	.032	13.376	***
e12	.378	.029	13.256	***
e13	.518	.035	14.675	***
e14	.374	.029	12.937	***
e15	.511	.035	14.801	***
e16	.407	.032	12.764	***
e17	.368	.028	12.973	***
e18	.434	.035	12.436	***
e19	.483	.035	13.719	***
e20	.482	.034	14.123	***
e21	.456	.034	13.396	***
e22	.643	.041	15.607	***
e23	.596	.038	15.871	***
e24	.591	.038	15.470	***
e25	.759	.047	16.273	***
e26	.577	.040	14.326	***
e27	.689	.044	15.575	***
e28	.619	.038	16.191	***
e29	.788	.048	16.486	***
e30	.611	.038	15.902	***
e31	.633	.041	15.260	***
e32	.728	.044	16.410	***
e33	.694	.042	16.500	***
e34	.737	.045	16.428	***
e35	.757	.045	16.640	***
e36	.687	.042	16.435	***
e37	.662	.043	15.328	***
e38	.652	.042	15.440	***
e39	.734	.045	16.316	***
e40	.678	.042	16.211	***
e41	.663	.041	16.089	***
e42	.705	.043	16.219	***
e43	.691	.042	16.388	***
e44	.629	.040	15.872	***
e45	.721	.044	16.247	***
e46	.584	.037	15.754	***
e47	.493	.034	14.451	***
e48	.569	.039	14.564	***
e49	.614	.040	15.394	***
e50	.492	.036	13.639	***
e51	.528	.037	14.353	***
e52	.478	.034	13.916	***

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

			Estimate
NJC6			.424
NJC5			.392
NJC4			.444
NJC3			.295
NJC2			.374
NJC1			.384
PJC15			.204
PJC14			.149
PJC13			.191
PJC12			.132
PJC11			.152
PJC10			.167
PJC9			.153
PJC8			.140
PJC7			.235
PJC6			.246
PJC5			.126
PJC4			.099
PJC3			.127
PJC2			.117
PJC1			.129
THR10			.269
THR9			.202
THR8			.129
THR7			.168
THR6			.238
THR5			.349
THR4			.157
THR3			.249
THR2			.206
THR1			.235
JI4			.501
JI3			.451
JI2			.480
JI1			.556
JS4			.509
JS3			.520
JS2			.377
JS1			.511
KH4			.394
KH3			.498
KH2			.491
KH1			.532
KA4			.448
KA3			.463
KA2			.468
KA1			.416
AIS5			.346
AIS4			.400
AIS3			.357
AIS2			.472
AIS1			.480

Minimization History (Default model)

Iteration		Negative eigenvalues	Condition #	Smallest eigenvalue	Diameter	F	NTries	Ratio
0	e	18		-.406	9999.000	7461.610	0	9999.000
1	e	4		-.045	3.958	2672.730	20	.500
2	e	1		-.003	.879	2012.626	5	.789
3	e	0	147.279		1.284	1585.982	6	.766
4	e	0	112.218		.908	1433.792	2	.000
5	e	0	257.818		.790	1362.704	1	1.157
6	e	0	699.147		.601	1347.536	1	1.202
7	e	0	1476.422		.466	1343.493	1	1.177
8	e	0	2863.362		.272	1342.531	1	1.182
9	e	0	3799.485		.154	1342.403	1	1.099
10	e	0	4243.214		.029	1342.398	1	1.029
11	e	0	4172.118		.002	1342.398	1	1.001
12	e	0	4172.005		.000	1342.398	1	1.000

Model Fit Summary

CMIN

Model	NPAR	CMIN	DF	P	CMIN/DF
Default model	132	1342.398	1246	.029	1.077
Saturated model	1378	.000	0
Independence model	52	7449.073	1326	.000	5.618

RMR, GFI

Model	RMR	GFI	AGFI	PGFI
Default model	.030	.923	.915	.835
Saturated model	.000	1.000
Independence model	.109	.531	.513	.511

Baseline Comparisons

Model	NFI Delta1	RFI rho1	IFI Delta2	TLI rho2	CFI
Default model	.820	.808	.984	.983	.984
Saturated model	1.000		1.000		1.000
Independence model	.000	.000	.000	.000	.000

Parsimony-Adjusted Measures

Model	PRATIO	PNFI	PCFI
Default model	.940	.770	.925
Saturated model	.000	.000	.000
Independence model	1.000	.000	.000

NCP

Model	NCP	LO 90	HI 90
Default model	96.398	12.344	188.844
Saturated model	.000	.000	.000
Independence model	6123.073	5855.425	6397.400

FMIN

Model	FMIN	F0	LO 90	HI 90
Default model	2.241	.161	.021	.315
Saturated model	.000	.000	.000	.000
Independence model	12.436	10.222	9.775	10.680

RMSEA

Model	RMSEA	LO 90	HI 90	PCLOSE
Default model	.011	.004	.016	1.000
Independence model	.088	.086	.090	.000

AIC

Model	AIC	BCC	BIC	CAIC
Default model	1606.398	1632.024	2186.793	2318.793
Saturated model	2756.000	3023.524	8814.969	10192.969
Independence model	7553.073	7563.169	7781.714	7833.714

ECVI

Model	ECVI	LO 90	HI 90	MECVI
Default model	2.682	2.541	2.836	2.725
Saturated model	4.601	4.601	4.601	5.048
Independence model	12.609	12.163	13.067	12.626

HOELTER

Model	HOELTER .05	HOELTER .01
Default model	594	610
Independence model	114	117

Execution time summary

Minimization:	.054
Miscellaneous:	1.773
Bootstrap:	.000
Total:	1.827