Table 4 Construct reliability and factor loadings.

From: Predicting virtual goods purchases in Vietnam’s MMOGs with a TAM-PERVAL model using PLS-SEM and ANN

Construct

Item

Factor loading

Cronbach’s α

CR

AVE

VIF

PU

PU1

0.830

0.860

0.900

0.680

1.920

 

PU2

0.800

   

1.850

 

PU3

0.850

   

2.010

 

PU4

0.820

   

1.880

PEOU

PEOU1

0.790

0.830

0.890

0.650

1.780

 

PEOU2

0.810

   

1.820

 

PEOU3

0.840

   

1.950

 

PEOU4

0.800

   

1.800

VE

VE1

0.860

0.880

0.920

0.700

2.050

 

VE2

0.830

   

1.900

 

VE3

0.870

   

2.100

 

VE4

0.810

   

1.870

VS

VS1

0.820

0.850

0.900

0.670

1.890

 

VS2

0.840

   

1.930

 

VS3

0.800

   

1.860

 

VS4

0.830

   

1.910

VP

VP1

0.780

0.820

0.880

0.630

1.750

 

VP2

0.810

   

1.800

 

VP3

0.790

   

1.770

 

VP4

0.800

   

1.790

VQ

VQ1

0.810

0.840

0.890

0.660

1.830

 

VQ2

0.830

   

1.880

 

VQ3

0.820

   

1.850

 

VQ4

0.790

   

1.810

TRUST

TRUST1

0.800

0.830

0.890

0.650

1.790

 

TRUST2

0.820

   

1.840

 

TRUST3

0.810

   

1.820

 

TRUST4

0.790

   

1.780

IMM

IMM1

0.840

0.860

0.910

0.690

1.940

 

IMM2

0.830

   

1.900

 

IMM3

0.850

   

1.980

 

IMM4

0.810

   

1.860

AES

AES1

0.820

0.850

0.900

0.670

1.880

 

AES2

0.840

   

1.920

 

AES3

0.810

   

1.870

 

AES4

0.830

   

1.900

BLOCK

BLOCK1

0.790

0.820

0.880

0.630

1.760

 

BLOCK2

0.800

   

1.790

 

BLOCK3

0.810

   

1.810

 

BLOCK4

0.780

   

1.750

MPE

MPE1

0.830

0.860

0.910

0.690

1.930

 

MPE2

0.850

   

1.970

 

MPE3

0.820

   

1.900

 

MPE4

0.840

   

1.940

SAT

SAT1

0.810

0.840

0.890

0.660

1.850

 

SAT2

0.830

   

1.890

 

SAT3

0.800

   

1.840

 

SAT4

0.820

   

1.870

SI

SI1

0.840

0.860

0.910

0.690

1.960

 

SI2

0.820

   

1.910

 

SI3

0.850

   

1.980

 

SI4

0.830

   

1.930

PI

PI1

0.860

0.880

0.920

0.700

2.030

 

PI2

0.840

   

1.950

 

PI3

0.870

   

2.060

 

PI4

0.810

   

1.900