Skip to main content

Table 2 Factor matrix

From: Perspectives of physicians on risk factors for patient aggression and violence against physicians in Chinese hospitals: a Q-methodology study

Participant ID

Factor 1

Factor 2

Factor 3

Factor 4

1

0.5316*

0.103

0.0738

0.3597

2

− 0.1482

0.3822

0.3989

0.4837

3

0.2293

− 0.1785

0.4047*

0.3381

4

0.1138

0.3037

0.6155

0.4955

5

0.3044

0.2838

0.7139*

0.0591

6

0.7274*

− 0.1764

0.2779

0.1893

7

0.7005*

0.1174

0.2165

− 0.0334

8

0.6206*

0.2701

0.2688

0.2401

9

0.0823

0.583*

0.3275

0.0922

10

0.3283

0.2716

0.2601

0.6712*

11#

0.0735

0.0621

0.2207

0.1194

12

0.3939

0.2313

0.218

0.5534

13

0.2841

0.246

0.1854

0.6896*

14#

0.1332

− 0.0296

0.3588

0.1116

15

0.5768*

− 0.1823

0.0471

0.3634

16

0.4387

0.486

0.2843

0.2174

17#

0.1417

0.1349

0.1989

0.1004

18

0.4917*

− 0.4021

0.2831

− 0.1248

19

0.4104*

− 0.0164

0.0536

0.3438

20

− 0.161

0.8248*

0.0888

0.1589

21

0.1442

0.1977

0.7015*

0.2695

22

0.1903

0.2747

0.1867

0.4905*

23

− 0.1011

− 0.2066

0.5006*

0.359

24

0.1664

0.5629*

0.2503

0.0081

25

0.272

0.3543

0.685*

− 0.1123

26

0.3851*

0.0416

0.1087

− 0.2186

27

0.5702

− 0.0194

0.15

0.3938

28

0.2685

0.0863

0.6979*

0.2213

29

0.0081

0.0517

0.2062

0.8227*

30

0.5583*

0.2549

− 0.0767

0.0505

31

0.6008*

−0.015

0.4369

0.324

32

0.0689

0.2931

0.6988*

0.3078

33

0.3192

0.7466*

− 0.0635

0.4381

% Variance explained

14

10

14

13

Correlation with Factor 2

0.1706

   

Correlation with Factor 3

0.5473

0.4199

  

Correlation with Factor 4

0.4777

0.4764

0.531

 
  1. *Denotes exemplar Q-sort for factor: that is, the Q-sort loads significantly at p < 0.05 on to only one factor. Significant loading calculated using the formula: 1.96 × (1/√No. of items in Q-set), equating to 1.96 × (1/√30) = 0.36
  2. #Null loading Q-sorts