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Table 3 Validity tests based on internal structure: dimensionality

From: Person-centered care assessment tool with a focus on quality healthcare: a systematic review of psychometric properties

Study

Factor analysis

Design

Estimator

Factor extraction method

Factors and items

Interfactor R

Internal replication

Effect of the method

Factor loadings (summary)

Rokstad et al. [27]

EFA

Expl.

Expl.: PCA, varimax, direct oblimin rotation

Kaiser’s eigenvalue, criterion and scree plot test

F1 = 1, 2, 3, 4, 5, 6, 7, 13

F2 = 8, 9, 10, 11, 12

N.R.

N.R.

N.R.

F1

Max.: 0.738

Min.: 0.515

Average: 0.608

F2

Max.: 0.714

Min.: 0.543

Average: 0.664

 

Sjögren et al. [28]

CFA and EFA

Conf. Expl.

Conf.: ML

Expl.: PCA, direct oblimin rotation, orthogonal rotation

Parallel analysis and Velicer’s MAP test

F1 = 1, 2, 3, 4, 5, 6, 11, 13

F2 = 7, 8, 9, 10 12

N.R.

N.R.

N.R.

F1

Max.: 0.7

Min.: 0.4

Average: 0.593

F2

Max.: 0.75

Min.: 0.46

Average: 0.672

 

Zhong and Lou [29]

CFA

Conf.

Conf: N.R.

N.R.

F1 = 1, 2, 3, 4, 5, 6

F2 = 7, 8, 9, 10, 11, 12

F3 = 13, 14, 15

P-CAT-C1– P-CAT-C2: 0.043

P-CAT-C1– P-CAT-C3: 0.23

P-CAT-C2– P-CAT-C3: 0.065

N.R.

N.R.

F1

Max.: 0.666

Min.: 0.443

Average: 0.51

F2

Max.: 0.729

Min.: 0.454

Average: 0.584

F3

Max.: 0.51

Min.: 0.399

Average: 0.455

Martínez et al. [25]

CFA

Conf.

Conf.: WLSMV

N.R.

F1 = 1, 2, 3, 4, 5, 6, 7, 8, 9, 10, 11, 12, 13

1

The total sample was divided into two random subsamples. In the two-dimensional model, the correlation between the two factors was analyzed in both subsamples.

N.R.

F1

Max.: 0.73

Min.: 0.33

Average: 0.56

  

Tak et al. [30]

EFA

Expl.

Expl.: PCA, varimax orthogonal rotation

N.R.

F1 = 1, 2, 3, 4, 5, 6, 7

F2 = 8, 9, 10, 11, 12, 13

N.R.

N.R.

N.R.

F1

Max.: 0.78

Min.: 0.5

Average: 0.692

F2

Max.: 0.8

Min.: 0.34

Average: 0.653

 

Selan et al. [46]

EFA

Expl.

Expl.: PCA, varimax orthogonal rotation

Kaiser’s eigenvalue, criterion, scree plot test and parallel

analysis

F1 = 1, 2, 3, 4, 5, 6, 11, 13

F2 = 7, 8, 9, 10, 12

N.R.

N.R.

N.R.

F1

Max.: 0.776

Min.: 0.465

Average: 0.599

F2

Max.: 0.771

Min.: 0.546

Average: 0.711

 

Le et al. [40]

EFA and CFA

Expl. Conf.

Expl.: PCA, varimax rotation, oblique rotation

Conf.: SEM

N.R.

F1 = 1, 2, 3, 4, 5, 6, 7, 10, 13

F2 = 8, 9, 11, 12

N.R.

N.R.

N.R.

F1

Max.: 0.79

Min.: 0.17

Average: 0.596

F2

Max.: 0.89

Min.: 0.71

Average: 0.817

 
  1. Note N.R.: not reported. CFA: confirmatory factor analysis. EFA: exploratory factor analysis. Expl.: exploratory. Conf.: confirmatory. PCA: principal component analysis. MAP test: minimum average partial test. WLSMV: weighted least squares means and variance adjusted estimator. SEM: structural equation modeling. Max.: maximum factor loading. Min: minimum factor loading. Average: average factor loading