| Id |
Subject |
Object |
Predicate |
Lexical cue |
| T282 |
0-184 |
Sentence |
denotes |
The effect of the exogenous latent construct on the endogenous latent construct having three possible answers, i.e., substantial, moderate, and weak, was found using theF2 effect size. |
| T283 |
185-259 |
Sentence |
denotes |
The blindfold method was used to check the strength of the research model. |
| T284 |
260-449 |
Sentence |
denotes |
Cohen’s f2 is an identical measure of effect size that also permits checking the local effect size, which is the effect of one variable compared with the multivariate regression model [94]. |
| T285 |
450-563 |
Sentence |
denotes |
If the cross-validated redundancy (Q2) is higher than 0,then the model is related to predicting that factor [95]. |
| T286 |
564-855 |
Sentence |
denotes |
We focused on in-sample prediction more, compared to out-sample prediction, prognostic significance Q2, and relative relevance Q2, which are alternatives for evaluating a model’s practical relevance, in addition to consulting R2 outcomes as a gauge of a model’s predictive capabilities [95]. |
| T287 |
856-955 |
Sentence |
denotes |
R2, Q2, path coefficients, and the effect size (f2) are the decisive factors we use for evaluation. |
| T288 |
956-1072 |
Sentence |
denotes |
In addition to this evaluation, researchers are required to check the inner model for potential co linearity issues. |
| T289 |
1073-1181 |
Sentence |
denotes |
If the constructs are interrelated, then results approximated by the inner model are considered biased [96]. |
| T290 |
1182-1233 |
Sentence |
denotes |
A model’s predictive accuracy is decided by the R2. |
| T291 |
1234-1344 |
Sentence |
denotes |
The R2 value also characterizes the combined consequence of exogenous variables on the endogenous variable(s). |
| T292 |
1345-1375 |
Sentence |
denotes |
The effect ranges from 0 to 1. |
| T293 |
1376-1450 |
Sentence |
denotes |
A value of 1 indicates complete predictive accuracy as can see in Table 6. |
