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Table 5 Estimates of factor loadings from CFA models (missing casewise data). Model 1 is the original model using Maximum Likelihood method (ML), Model 2 is the modified model (ML) and Bayes Model 1 is Model 1 estimated using the Bayesian method

From: Psychometric properties of an instrument measuring communication within and between the professional groups licensed practical nurses and registered nurses in anaesthetic clinics

Factor loadings

Model 1

Model 2

Bayes Model1*

ICU 1

0.915

0.915

0.902

ICU 3

1.000

1.000

1.000

ICU 5

0.647

0.650

0.633

ICU 8

0.885

0.888

0.868

ICU 10 RN LPN

0.983

0.984

0.979

ICU 12 RN LPN

1.139

1.140

1.129

ICU 14 RN LPN

1.000

1.000

1.000

ICU 17 RN LPN

1.118

1.118

1.109

ICU 2

0.907

0.857

0.901

ICU 4

1.000

1.000

1.000

ICU 7

0.685

0.672

0.691

ICU 9

0.834

0.808

0.844

ICU 11 RN LPN

1.451

1.411

1.428

ICU 13 RN LPN

1.341

1.317

1.327

ICU 18 RN LPN

1.000

1.000

1.000

ICU 28

0.882

0.883

0.874

ICU 29

1.000

1.000

1.000

ICU 31

0.539

0.540

0.530

  1. aConvergence was achieved after 500 so-called burn-in samples and an additional 98,500 random draws