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An overview of the method is presented and its validity is checked both theoretically and numerically.
The construct validity is checked by convergent validity and discriminant validity.
Similar(58)
Numerical relationships were established and their validity was checked.
The validity was checked by using convergent validity and discriminant validity.
The questionnaire validity was checked by the correlation between items addressing the same objectives.
Discriminant validity was checked to show that all of the constructs (Digital informal learning, Digital competence, Attitude to DIL, Personal innovativeness) were different from each other.
The calibration models displayed good linearity (0.1 10 μg/L) and their validity was checked using ANOVA, and it was observed that they did not exhibit any lack of fit.
Questions that were deemed the most appropriate to the current study, with a focus on their use were selected from each of these inventories, and as the inventories were adapted both internal reliability and construct validity were checked.
Their stereochemical validity was checked with Procheck [35].
Internal validity was checked using bootstrapping.
Face and content validity were checked using 3 focus groups.
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CEO of Professional Science Editing for Scientists @ prosciediting.com