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The rationale of the model, its relations with other modeling endeavors, and its implications are discussed.
Further, the rationale of the model structure was not established well, and the issues of data identification and assessment of uncertainty were not appropriately addressed.
The rationale of the model is that for instance predisposing (social) factors determine awareness and a person's attitude, social influence and efficacy, which in turn affect a person's intention (motivation) to carry out certain behavior.
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The factors that were considered for classification were: 1) the method of delivery of care including who delivers the care (how); 2) the patient population (who); 3) types of interventions (what); 4) the location of care delivery (where); and 5) the rationale for the model of care (why) (e.g. comprehensive care or improving access to care).
The reviewers found the explanation of the rationale for the model – and even its specific details – hard to follow, although there was agreement that the model is interesting and plausible enough to be included.
The rationale for the model structure, the statement of scope/perspective, and the structural assumptions were not clear.
The underlying rationale of the AMP model is the need to promote primary care services that recognize and accommodate the various ways that under-served users, and their communities, frame or understand common mental health problems.
The rationale of the EB model was that early developmental processes simulated by EB differentiation would be affected by treatment of undifferentiated PSCs with toxic substances and, as a consequence, specific differentiation processes would be inhibited, induced or accelerated.
We explore the background, rationale, and evolution of the model against the backdrop of the American health care system and efforts to reform it.
The present study applies the rationale of the JD-R model to expand the relevant outcomes of job demands and job resources by linking the JD-R model to the logic of a generic health development framework predicting more broadly positive and negative health.
The vast majority of IRT applications within rheumatology involved Rasch analyses, although a clear specification and rationale of the applied Rasch model was not always given.
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Since I tried Ludwig back in 2017, I have been constantly using it in both editing and translation. Ever since, I suggest it to my translators at ProSciEditing.

Justyna Jupowicz-Kozak
CEO of Professional Science Editing for Scientists @ prosciediting.com