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Table 2 Factor loadings, communalities (h2), item-total correlation, and Cronbach’s alpha of the measurement tool

From: Development and validation of an instrument to evaluate the perspective of using the electronic health record in a hospital setting

Item label

Factors

h2

Item-total correlation

Alpha

 

CP

IQ

US

ISQ

ENV

ORG

SQ

   

CP3

.902

− .182

.121

.034

− .117

.073

.035

.853

.789

.870

CP4

.889

− .167

.078

− .016

.004

.032

.117

.833

.796

 

CP2

.739

− .044

.124

− .062

− .049

.063

.092

.678

.706

 

CP5

.659

.225

− .013

− .209

.179

− .016

− .111

.560

.657

 

CP6

.613

.156

− .141

.095

− .029

.084

− .061

.465

.636

 

CP8

.450

.273

− .042

.196

.034

− .036

− .164

.459

.570

 

CP7

.350

.077

.029

.174

.232

− .096

− .128

.338

.454

 

IQ3

− .016

.850

.034

.042

− .077

.002

− .034

.728

.789

.883

IQ4

.009

.832

− .034

− .019

.015

− .051

.215

.767

.791

 

IQ5

.068

.772

− .096

− .050

.042

.025

.061

.598

.699

 

IQ1

− .085

.672

.177

− .057

− .027

.004

.090

.538

.675

 

IQ2

− .090

.590

.130

.137

.039

.048

− .110

.537

.646

 

US2

− .002

.039

.879

− .063

− .103

.022

.061

.755

.797

.891

US5

.104

− .030

.745

.008

− .049

.071

.102

.720

.792

 

US4.

.164

.018

.730

.052

.153

− .282

− .140

.642

.712

 

US1

− .011

− .041

.712

.087

− .001

.014

.150

.611

.655

 

US3

.022

.247

.622

-076

− .132

.146

− .021

.651

.718

 

ISQ2

.135

− .039

− .073

.826

.018

− .053

.076

.697

.742

.839

ISQ3

− .116

.004

− .002

.771

− .177

.266

.011

.636

.652

 

ISQ1.

.173

.094

− .165

.757

− .017

− .026

.163

.726

.714

 

ISQ4

− .117

.089

.203

.673

.023

.028

− .037

.667

.731

 

ISQ5

− .191

− .123

.120

.531

.293

− .110

− .061

.406

.444

 

ENV2

.019

− .001

− .043

− .119

.860

− .003

.062

.659

.646

.735

ENV3

− .067

− .014

− .133

.057

.753

.111

.172

.594

.626

 

ENV4

.035

.015

− .003

.095

.561

.012

− .096

.392

.457

 

ENV1

.041

− .046

.100

− .062

.422

.212

.168

.345

.445

 

ORG2

.157

.021

− .084

.017

− .047

.821

− .093

.716

.670

.767

ORG3

.020

.044

.091

− .056

.147

.741

− .063

.703

.681

 

ORG4

.043

-,026

− .091

.099

.008

.460

.122

.259

.416

 

ORG1

− .084

− .058

.225

.121

.234

.436

− .145

.452

.525

 

SQ1

.010

.137

.026

.004

.069

.010

.812

.789

.611

.756

SQ2

.003

.032

.148

.146

.089

− .126

.544

.436

.611

 

Eigenvalue

11.102

2.668

2.054

1.720

1.497

1.424

1.385

   

Variance (total = 68%)

34.69%

8.34%

6.42%

5.37%

4.68%

4.45%

4.33%

   
  1. Abbreviations. SQ: System Quality; IQ: Information Quality; ISQ: Information technology Service Quality; ORG: Organization; ENV: Environment; US: User Satisfaction; CP: Clinical Performance
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BMC Medical Informatics and Decision Making

ISSN: 1472-6947

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