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We address two aspects of constructing plans efficiently by means of satisfiability testing: efficient encoding of the problem of existence of plans of a given number t of time points in the propositional logic and strategies for finding plans, given these formulae for different values of t.
As a majority of studies have examined technical aspects of constructing an electronic medical record system and an online appointment system, the balance have been aimed at understanding the current state of the systems.
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Most multi-item self-report questionnaires have high internal consistency, correlate significantly with single-item craving ratings, and demonstrate several aspects of construct validity.
Convergent and discriminant validity are important aspects of construct validity [ 32, 35].
We were able to assess selected aspects of construct validity in this study.
Naturally, these facets would also compromise the various specific and empirically testable aspects of construct validity (criterion, predictive, discriminant, etc).
Our results on convergent and discriminant validity as well as on known-groups validity thus capture only a limited sample of all relevant aspects of construct validity.
Finally, CFA provides some data on convergent (the extent to which similar theoretical constructs are related) and discriminant validity (the extent to which different theoretical constructs are relatively unrelated) as the aspects of construct validity [ 14].
By comparison, there were weak and/or non-significant associations between SPPB scores and objective and self-report measures of upper extremity function (i.e., divergent aspects of construct validity).
Aspects of construct validity were evaluated by an EFA on item level (PCA with promax rotation) to take the assumed correlation between the contents into account and to optimize detectability of potential differences between the contents.
As with other aspects of construct validity, responsiveness and the MID value are confirmed based on accumulating evidence from multiple studies and, with additional data, we can be more confident in the MID value.
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Justyna Jupowicz-Kozak
CEO of Professional Science Editing for Scientists @ prosciediting.com