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Table 3 Bivariate Correlation Models and the statistics under the Confirmatory Factor Analysis

From: Addressing medical student burnout through informal peer-assisted learning: a correlational analysis

MODEL

     

RMSEA 90% CI

     

ESTIMATED

Models (SBI-9)

CFI

TLI

SRMR

RMSEA

Lower

Upper

AIC

BIC

χ2

df

p

M1e

1F(CYINEX)

0.976

0.967

2460

0.478

0.000

0.0845

5822

5904

36.4

27

0.107

M2e

2F-a (CYIN-EX)

1.000

1.020

2331

0.000

0.000

0.0000

5807

5892

19.3

26

0.822

M3e

3F (CY-IN-EX)

1.000

1.050

2524

0.000

0.000

0.0000

5802

5893

10.2

24

0.994

M4e

2F-b (EXIN-CY)

1.000

1.010

2956

0.000

0.000

0.0554

5811

5896

23.2

26

0.624

M5e

2F-c (CY-EX)

1.000

1.020

0.085

0.000

0.000

0.0580

4917

4983

9.3

13

0.750

FINALS

Models (SBI-8)

CFI

TLI

SRMR

RMSEA

Lower

Upper

AIC

BIC

χ2

df

p

M1

1F(CYINEX)

0.904

0.866

0.0589

0.1150

0.0820

0.149

3637

3709

60

20

 < 0.001

M2

2F-a (CYIN-EX)

0.934

0.902

0.0495

0.0979

0.0625

0.134

3626

3701

47

19

 < 0.001

M3

3F (CY-IN-EX)

0.951

0.920

0.0416

0.0888

0.0497

0.128

3620

3702

37

17

 < 0.003

M4

2F-b (EXIN-CY)

0.932

0.899

0.0505

0.0995

0.0643

0.135

3627

3702

47

19

 < 0.001

M5

2F-c (CY-EX)

1.000

1.030

0.0898

0.0000

0.0000

0.044

4419

4476

4

8

 = 0.891

  1. Statistical values of the Confirmatory Factor Analysis (CFA) and model fix. M1 one factor model in which all subscales (CY, EX, and IN) are grouped into one factor. Three (3) two models’ factors (M2, M4 and M5). In M2, CY and IN subscale are grouped into one factor, EX maintain as second factor. In M4, EX and IN are groped in one factor, CY maintains as second factor and in M5, where CY and EX represent the factors. The M3 represents the three factors model in which CY, EX and IN are factors. 1F represents one factor model, 2F represents two factors model and 3F represents three factors model. 2F three different models (a, b and c)
  2. χ2 = chi-square, df = Degrees of freedom, CFI = Comparative fit index, TLI = Tucker–Lewis index, RMSEA = Root mean square error of approximation, p = p-value