Page 42 - IJET_July2021_final

Model Estimation algorithm are required for reflective
model assessment and results of
The model estimation involves two
kinds of assessment i.e. reflective bootstrapping, blindfolding are required
model estimation and structural model for structural model assessment.
estimation. It is necessary to first Figure-2 represents the outcome of
conduct reflective model estimation the PLS algorithm where four factors
and on the basis of its results, structural are independent (perception, attitude,
model estimation is performed. motivation and personality) and one
factor is dependent variable (intention).
Reflective Model Assessment The value of R2 is 0.60 which shows
that explanatory power is high (Wong,
The smart PLS software provides
three dimensions for model testing 2019). A value below 0.49 signifies a low
i.e. Algorithm, Bootstrapping and explanatory power (Hair, Hult, Ringle, &
Blindfolding. The results of the Sarstedt, 2016).

Figure-2: Outcome of PLS algorithm run derived from smart PLS software
version 2.0

The internal consistency (Table-3) and Discriminant validity is confirmed
is confirmed through composite through Fornell lacker criterion (Wong,
reliability; Individual indicator reliability 2019).
is confirmed through outer loadings

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