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Table 2 shows the correlations between the latent constructs.
SEM applies a confirmatory factor analysis to estimate latent constructs.
First, PLS can be used to model latent constructs as either formative (superordinate constructs) or reflective indicators (unmeasured latent constructs) [12, 72].
Rectangles represent the observed variables (items) and ellipses represent the latent constructs (factors).
Latent constructs are variables which cannot be measured directly rather measured by manifest variables.
Thus, the analyses confirmed high construct validities of all latent constructs.
Table 1 lists all the latent constructs with observed indicators along with their codes.
Figure 1 summarizes the results of the hypothesized relationships between the latent constructs.
Fig. 2 Model for the latent constructs of biochemistry and cell biology based on six parcels.
This also confirms internal consistency of the latent constructs (Garver and Mentzer, 1999).
PCA allows original data to be converted into latent constructs (or dimensions).
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CEO of Professional Science Editing for Scientists @ prosciediting.com