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(Hair et.al.2010). Composite was having high internal consistency
reliability for the measured model and reliability. (Table-3 Summary of
was greater than 0.70 and hence it Reliability & Validity for Measured
can be concluded that the construct Model)
Table-1: Demographic Classification

Average
Composite
Standardized Cronbach’s Variance
Construct Items Reliability Extracted
Loadings alpha CR AVE

Perceived PCI5 0.624 0.822 0.7329 0.133225
Complexity PCI3 0.805
in using the
Internet PCI2 0.775
PCI1 0.73

Perceived PU5 0.899 0.922 0.790561 0.1381122
Usefulness PU4 0.768
(PU)
PU3 0.86
PU2 0.831

PU1 0.831
Attitude to- ATU4 0.826 0.896 0.720944 0.155236
wards Usage ATU3 0.891
(ATU)
ATU2 0.812

ATU1 0.788
Behavioural BIU1 0.799 0.91 0.797225 0.139445
Intention BIU2 0.712
to Use (BIU)
Online BIU3 0.882
learning
BIU4 0.863
BIU5 0.835
Source: AMOS 21.00, Excel calculations

Construct Validity: Construct validity • Convergent Validity: This subset
was calculated using convergent and of construct validity aims at
discriminant validity for which data from measuring the construct validity
AMOS 21.00 was extracted and excel was of the instrument that has been
used for calculation of average variance used to collect the data. Two
extracted (AVE) and correlations which essential values that are used
are required for interpreting the validity to check convergent validity are
of the instrument used to collect data. standardized factor loading and

48 Indian Journal of Educational Technology
Volume 3, Issue 2, July 2021