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Table 3 Model fit indices for SF-MPQ

From: Confirmatory factor analysis of the Korean version of the short-form McGill pain questionnaire with chronic pain patients: a comparison of alternative models

Model

x 2 ( df )

RMSEA

CFI

NFI

TLI

AIC

BIC

KSF-MPQ1

126.88 (64)

.08

.95

.90

.94

180.88

262.17

Adjusted KSF-MPQ2

101.86 (63)

.06

.97

.92

.96

157.86

242.16

Single-factor

343.94 (90)

.14

.81

.76

.78

403.94

494.26

Adjusted Single-factor2

319.03 (89)

.13

.83

.78

.80

381.03

474.36

Melzack

202.94 (89)

.09

.92

.86

.90

264.94

358.27

Adjusted Melzack2

180.34 (88)

.08

.93

.88

.92

244.34

340.68

Wright3

204.11 (85)

.10

.91

.86

.89

274.11

379.49

Shin

259.62 (64)

.14

.83

.79

.79

313.62

394.90

Adjusted Shin4

198.69 (63)

.12

.88

.84

.85

254.69

338.99

Cassisi A

195.57 (62)

.12

.88

.85

.86

253.57

340.88

Adjusted Cassisi A5

189.40 (61)

.12

.89

.85

.86

249.40

339.72

Cassisi B

212.75 (84)

.10

.91

.85

.88

284.75

393.13

Adjusted Cassisi B2

191.42 (83)

.09

.92

.87

.90

265.42

376.81

Burckhardt

200.01 (87)

.09

.92

.86

.90

266.01

365.36

Adjusted Burckhardt2

176.14 (86)

.08

.93

.88

.92

244.14

346.50

  1. 1KSF-MPQ: Korean version of Short-Form McGill Pain Questionnaire; 2Covariance between error terms for items 1, 8; 3The Wright model basically includes specified covariance between error terms for items 2, 3; 3, 4; 2, 4; and 8, 12 and thus, the Wright model was not adjusted in the present study; 4Covariance between error terms for items 14, 15; 5Covariance between error terms for items 12, 13; RMSEA: Root-Mean Square Error of Approximation; CFI: Comparative Fit Index; NFI: Normed Fit Index; TLI: Tucker-Lewis Index; AIC: Akaike Information Criteria; BIC: Bayesian Information Criteria.