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. 2021 Oct 13;10(4):1057–1075. doi: 10.1007/s40123-021-00391-w

Table 2.

Summary of CFA model results and revisions

Model Factor loadings and covariances Fit statisticsa Modification indices > 10.00
Base case

Coping: 0.66–0.94

Impact: 0.73–0.99

Covariance = 0.88

P(χ2) < 0.001

RMSEA = 0.09

CFI = 0.98

TLI = 0.98

SRMR = 0.11

Coping with i10, i11, i17, and i18

Impact with i2 and i14

i1 with i2

i4 with i3 and i6

i5 with i7

i11 with i14

i17 with i16 and i18

i19 with i20

Revision #1: Free error covariances between items with similar content (i1 + i2, i3 + i4, i5 + i7) based on large modification indices and delete i18 based on limited content validity

Coping: 0.64–0.91

Impact: 0.70–0.98

Covariance = 0.92

P(χ2) < 0.001

RMSEA = 0.07

CFI = 0.99

TLI = 0.99

SRMR = 0.09

Coping with i11, i16, and i17

Impact with i14

i1 with i3

i4 with i6

i7 with i12

i11 with i14

i16 with i17

i19 with i20

Revision #2: Delete i11 based on large modification index on Coping domain

Coping: 0.65–0.91

Impact: 0.73–0.92

Covariance = 0.87

P(χ2) < 0.001

RMSEA = 0.07

CFI = 0.99

TLI = 0.99

SRMR = 0.09

Coping with i10 and i17

Impact with i9

i1 with i3

i4 with i6

i7 with i12

i16 with i17

Revision #3: Free error covariances between i16 + i17 based on large modification index

Coping: 0.65–0.91

Impact: 0.67–0.91

Covariance = 0.89

P(χ2) < 0.001

RMSEA = 0.07

CFI = 0.99

TLI = 0.99

SRMR = 0.08

Coping with i10

Impact with i9

i1 with i3

i4 with i6

i7 with i12

Revision #4: Delete i10 based on large modification index on Coping domain

Coping: 0.63–0.91

Impact: 0.70–0.85

Covariance = 0.84

P(χ2) < 0.001

RMSEA = 0.07

CFI = 0.99

TLI = 0.99

SRMR = 0.08

Impact with i9

i1 with i3

i4 with i6

i7 with i12

Revision #5: Move i9 to Impact based on large modification index on Impact domain

Coping: 0.63 to 0.91

Impact: 0.69 to 0.85

Covariance = 0.83

P(χ2) < 0.001

RMSEA = 0.06

CFI = 0.99

TLI = 0.99

SRMR = 0.08

Impact with i5 and i14

i1 with i3

i4 with i6

i7 with i12

Revision #6: Delete i14 based on large modification index on Impact domain

Coping: 0.62–0.92

Impact: 0.70–0.85

Covariance = 0.81

P(χ2) < 0.001

RMSEA = 0.06

CFI = 0.99

TLI = 0.99

SRMR = 0.08

Impact with i5

i7 with i12

Revision #7: Delete i7 based on large modification index with i12

Coping: 0.65–0.92

Impact: 0.71–0.86

Covariance = 0.82

P(χ2) < 0.001

RMSEA = 0.05

CFI = 1.00

TLI = 1.00

SRMR = 0.07

Impact with i5

i5 with i15

Revision #8: Delete i8 based on poor content validity

Coping: 0.65–0.93

Impact: 0.71–0.86

Covariance = 0.81

P(χ2) < 0.001

RMSEA = 0.06

CFI = 1.00

TLI = 1.00

SRMR = 0.07

Impact with i5

i5 with i15

Revision #9: Turn error covariances into testlet variables to evaluate final scoring model

Coping: 0.67–0.98

Impact: 0.66–0.85

Covariance = 0.88

P(χ2) < 0.001

RMSEA = 0.06

CFI = 0.98

TLI = 0.98

SRMR = 0.07

None

CFI, comparative fit index, RMSEA root mean square error of approximation, SRMR standardized root mean square residual, TLI Tucker-Lewis index

aFit statistics that met pre-specified values for indicating good model fit are bolded and italicized