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5.30 10.11


Covariance Matrix of Latent Variables



KQ

CH

DP

QH

--------

--------

--------

--------

KQ

1.00




CH

0.50

1.00



DP

0.64

0.21

1.00


QH

0.68

0.31

0.49

1.00

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Goodness of Fit Statistics Degrees of Freedom = 203

Minimum Fit Function Chi-Square = 830.21 (P = 0.0) Normal Theory Weighted Least Squares Chi-Square = 901.26 (P = 0.0)

Estimated Non-centrality Parameter (NCP) = 898.26

90 Percent Confidence Interval for NCP = (592.86 ; 911.13)


Minimum Fit Function Value = 2.67 Population Discrepancy Function Value (F0) = 2.86

90 Percent Confidence Interval for F0 = (2.56 ; 3.18) Root Mean Square Error of Approximation (RMSEA) = 0.052

90 Percent Confidence Interval for RMSEA = (0.051 ; 0.053) P-Value for Test of Close Fit (RMSEA < 0.05) = 0.00


Expected Cross-Validation Index (ECVI) = 3.73

90 Percent Confidence Interval for ECVI = (3.43 ; 4.05) ECVI for Saturated Model = 1.45

ECVI for Independence Model = 25.92


Chi-Square for Independence Model with 231 Degrees of Freedom = 9003.75

Independence AIC = 9047.75 Model AIC = 1301.26

Saturated AIC = 506.00 Independence CAIC = 9154.63

Model CAIC = 1544.15

Saturated CAIC = 1735.06


Normed Fit Index (NFI) = 0.90 Non-Normed Fit Index (NNFI) = 0.91

Parsimony Normed Fit Index (PNFI) = 0.82 Comparative Fit Index (CFI) = 0.92 Incremental Fit Index (IFI) = 0.92

Relative Fit Index (RFI) = 0.88


Critical N (CN) = 95.84

Root Mean Square Residual (RMR) = 0.052 Standardized RMR = 0.078

Goodness of Fit Index (GFI) = 0.96 Adjusted Goodness of Fit Index (AGFI) = 0.80

Parsimony Goodness of Fit Index (PGFI) = 0.77 The Modification Indices Suggest to Add the

Path to from Decrease in Chi-Square New Estimate


DP4 CH 14.7 0.13

The Modification Indices Suggest to Add an Error Covariance Between and Decrease in Chi-Square New Estimate

KQ2

KQ1

85.0

0.21

KQ3

KQ1

28.6

0.13

KQ3

KQ2

13.6

0.09

KQ4

KQ1

23.6

-0.11

KQ4

KQ3

21.4

-0.12

KQ5

KQ1

12.9

-0.08

KQ5

KQ3

24.9

-0.12

KQ6

KQ1

40.1

-0.13

KQ6

KQ2

34.5

-0.12

KQ6

KQ3

17.1

-0.09

KQ6

KQ4

63.3

0.17

KQ6

KQ5

31.7

0.11

KQ7

KQ1

18.3

-0.10

KQ7

KQ2

22.1

-0.11

KQ7

KQ4

15.7

0.09

KQ7

KQ5

10.4

0.07

KQ7

KQ6

35.1

0.12

KQ8

KQ1

14.2

-0.09

KQ8

KQ2

18.2

-0.11

KQ8

KQ3

14.3

-0.10

KQ8

KQ4

15.4

0.10

KQ8

KQ5

15.0

0.09

KQ8

KQ6

23.2

0.11

KQ8

KQ7

19.4

0.11

KQ9

KQ1

14.8

-0.10

KQ9

KQ2

8.6

-0.07

KQ9

KQ5

13.1

0.09

KQ9

KQ6

22.1

0.11

KQ9

KQ8

34.3

0.16

DP1

KQ1

10.7

0.06

DP1

KQ3

8.4

0.06

DP1

KQ4

19.2

-0.08

DP2

KQ1

9.0

-0.04

DP2

KQ5

8.6

0.04

DP4

KQ1

28.4

0.10

DP4

KQ3

43.9

0.14

DP4

KQ6

21.5

-0.08

DP4

CH1

16.6

0.09

DP4

DP2

17.7

-0.06

QH1

KQ3

13.7

0.09

QH1

DP4

15.2

0.08

QH2

QH1

24.3

0.12

QH3

KQ4

8.4

0.06

QH3

QH2

11.2

0.07

QH4

QH1

10.8

-0.07

QH4

QH2

33.1

-0.13

QH5

QH3

16.4

-0.08

QH5

QH4

13.6

0.08

QH6

QH5

8.6

0.06


9. MÔ HÌNH SEM 2



Sample Size 350 PATH ANALYSIS Covariance Matrix KQ6 KQ1 KQ2 KQ3 KQ4 KQ5 KQ1 0 69 KQ2 0 49 0 71 1


Sample Size = 350 PATH ANALYSIS

Covariance Matrix



KQ6

KQ1

KQ2

KQ3

KQ4

KQ5



--------

--------

--------

--------

--------

-----

---







KQ1

0.69






KQ2

0.49

0.71





KQ3

0.47

0.45

0.84




KQ4

0.15

0.21

0.17

0.59



KQ5

0.16

0.20

0.16

0.20

0.53


KQ6

0.16

0.18

0.22

0.32

0.27


0.50







KQ7

0.23

0.23

0.31

0.29

0.26


0.32







KQ8

0.14

0.14

0.16

0.24

0.23


0.26







KQ9

0.13

0.16

0.17

0.19

0.22


0.25







CH1

0.37

0.32

0.40

0.08

0.07


0.08







CH2

0.32

0.27

0.36

0.04

0.10


0.10







CH3

0.30

0.26

0.36

0.08

0.08


0.05







DP1

0.25

0.21

0.29

0.07

0.12


0.12







DP2

0.20

0.25

0.25

0.17

0.18


0.17







DP3

0.22

0.26

0.26

0.18

0.14


0.18







DP4

0.31

0.25

0.38

0.12

0.13


0.10







QH1

0.24

0.25

0.32

0.10

0.14


0.13







QH2

0.21

0.19

0.21

0.15

0.11


0.16







QH3

0.26

0.27

0.23

0.21

0.13


0.21







QH4

0.21

0.24

0.27

0.19

0.16


0.20







QH5

0.24

0.21

0.27

0.11

0.19


0.18







QH6

0.26

0.26

0.30

0.16

0.17


0.18








Covariance Matrix



CH3


---

KQ7 KQ8 KQ9 CH1 CH2


-------- -------- -------- -------- -------- ----- KQ7 0.64




KQ8

0.29 0.63




KQ9

0.24 0.28

0.63


CH1

0.16 0.10

0.11

1.02

CH2

0.13 0.11

0.11

0.60

0.91



0.99

CH3


DP1

0.16 0.08


0.18 0.11

0.12


0.09

0.59


0.08

0.61


0.06


0.06


DP2


0.19 0.11


0.14


0.11


0.09


0.06


DP3


0.16 0.10


0.12


0.12


0.08


0.10


DP4


0.15 0.08


0.11


0.25


0.14


0.14


QH1


0.20 0.06


0.07


0.17


0.12


0.14


QH2


0.16 0.07


0.07


0.12


0.12


0.10


QH3


0.24 0.13


0.13


0.13


0.15


0.13


QH4


0.23 0.16


0.12


0.13


0.15


0.08


QH5


0.18 0.13


0.07


0.20


0.16


0.10


QH6


0.22 0.15


0.10


0.20


0.16


0.10









Covariance Matrix






QH2


---


DP1

DP1 DP2

-------- -------- 0.53

DP3


--------

DP4


--------

QH1


--------


-----


DP2

0.30 0.48






DP3

0.33 0.37

0.49





DP4

0.29 0.26

0.33

0.57




QH1

0.14 0.14

0.14

0.21

0.68



0.68

QH2


QH3

0.12 0.14


0.13 0.19

0.14


0.18

0.10


0.13

0.35


0.31


0.32


QH4


0.15 0.18


0.19


0.16


0.23


0.17


QH5


0.17 0.15


0.18


0.17


0.26


0.24


QH6


0.17 0.21


0.18


0.16


0.36


0.35









Covariance Matrix







QH3

QH3 QH4

-------- --------

0.55

QH5

--------

QH6

--------




QH4

0.29 0.60






QH5

0.26 0.36

0.65





QH6

0.38 0.41

0.43

0.71




PATH ANALYSIS


Number of Iterations = 11


LISREL Estimates (Maximum Likelihood) Measurement Equations


KQ1 = 0.69*KQM, Errorvar.= 0.21 , R² = 0.69

(0.024)

8.86


KQ2 = 0.68*KQM, Errorvar.= 0.25 , R² = 0.65 (0.042) (0.026)

16.26 9.63


KQ3 = 0.70*KQM, Errorvar.= 0.35 , R² = 0.59 (0.046) (0.033)

15.33 10.48


KQ4 = 0.51*KQH, Errorvar.= 0.33 , R² = 0.44

(0.029)

11.42


KQ5 = 0.46*KQH, Errorvar.= 0.32 , R² = 0.40 (0.045) (0.027)

10.13 11.73


KQ6 = 0.58*KQH, Errorvar.= 0.17 , R² = 0.66 (0.047) (0.019)

12.36 8.76


KQ7 = 0.57*KQH, Errorvar.= 0.31 , R² = 0.51 (0.051) (0.029)

11.27 10.81


KQ8 = 0.48*KQH, Errorvar.= 0.40 , R² = 0.36 (0.049) (0.034)

9.75 11.93


KQ9 = 0.44*KQH, Errorvar.= 0.44 , R² = 0.30 (0.049) (0.036)

9.02 12.23


CH1 = 0.78*CH, Errorvar.= 0.41 , R² = 0.60 (0.049) (0.044)

15.75 9.30


CH2 = 0.78*CH, Errorvar.= 0.31 , R² = 0.66 (0.046) (0.038)


16.87 8.02


CH3 = 0.77*CH, Errorvar.= 0.41 , R² = 0.59 (0.049) (0.043)

15.68 9.38


DP1 = 0.53*DP, Errorvar.= 0.25 , R² = 0.52 (0.035) (0.022)

15.12 11.61


DP2 = 0.58*DP, Errorvar.= 0.14 , R² = 0.70 (0.031) (0.015)

18.52 9.61


DP3 = 0.63*DP, Errorvar.= 0.086 , R² = 0.82 (0.030) (0.013)

21.06 6.42


DP4 = 0.52*DP, Errorvar.= 0.30 , R² = 0.47 (0.037) (0.025)

14.08 11.93


QH1 = 0.52*QH, Errorvar.= 0.41 , R² = 0.40 (0.042) (0.034)

12.42 12.04


QH2 = 0.49*QH, Errorvar.= 0.44 , R² = 0.35 (0.042) (0.036)

11.44 12.26


QH3 = 0.55*QH, Errorvar.= 0.25 , R² = 0.55 (0.036) (0.022)

15.52 10.95


QH4 = 0.55*QH, Errorvar.= 0.30 , R² = 0.50 (0.038) (0.026)

14.47 11.40


QH5 = 0.56*QH, Errorvar.= 0.34 , R² = 0.48 (0.040) (0.029)

14.15 11.52


QH6 = 0.71*QH, Errorvar.= 0.21 , R² = 0.70 (0.038) (0.024)

18.39 8.97


Structural Equations


KQM = 0.43*QH + 0.37*DP + 0.28*CH, Errorvar.= 0.32 , R² = 0.68 (0.021) (0.033) (0.045) (0.039)

8.52 7.00 5.55 6.49


KQH = 0.16*CH + 0.30*DP + 0.39*QH, Errorvar.= 0.64 , R² = 0.56



(0.048)

(0.035) (0.021)

(0.020)

1.08

4.28 5.52

6.27


Correlation Matrix of Independent Variables CH DP QH

-------- -------- -------- CH 1.00


DP 0.22 1.00

(0.06)

3.62


QH 0.31 0.49 1.00

(0.06) (0.05)

5.31 10.13


Covariance Matrix of Latent Variables


KQM

KQM

--------

1.00

KQH

--------

CH

--------

DP

--------

QH

--------

KQH

0.45

1.00




CH

0.61

0.24

1.00



DP

0.61

0.48

0.22

1.00


QH

0.62

0.54

0.31

0.49

1.00



Goodness of Fit Statistics


Degrees of Freedom = 200

Minimum Fit Function Chi-Square = 570.92 (P = 0.0) Normal Theory Weighted Least Squares Chi-Square = 558.14 (P =

0.0)

Estimated Non-centrality Parameter (NCP) = 358.14

90 Percent Confidence Interval for NCP = (291.51 ; 432.42)


Minimum Fit Function Value = 1.64 Population Discrepancy Function Value (F0) = 1.03

90 Percent Confidence Interval for F0 = (0.84 ; 1.24) Root Mean Square Error of Approximation (RMSEA) = 0.072

90 Percent Confidence Interval for RMSEA = (0.065 ; 0.079) P-Value for Test of Close Fit (RMSEA < 0.05) = 0.00


Expected Cross-Validation Index (ECVI) = 1.90

90 Percent Confidence Interval for ECVI = (1.71 ; 2.12) ECVI for Saturated Model = 1.45

ECVI for Independence Model = 25.92


Chi-Square for Independence Model with 231 Degrees of Freedom = 9003.75

Independence AIC = 9047.75 Model AIC = 664.14

Saturated AIC = 506.00

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Ngày đăng: 30/03/2023