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Salaries and degree attainment are known to be predictors of research productivity.
Predictors of research utilization include attitude toward research, awareness of information based on research, and involvement in research activities.
Several dimensions of organizational context, as well as individual characteristics, were shown to be important predictors of research use.
Further sophisticated analytic work is needed in order to make theoretical advancements and to identify contextual predictors of research use.
The analysis supported all of the direct and indirect effects that were hypothesized research skills and research self-efficacy beliefs are important predictors of research career aspirations.
These predictors of research engagement may offer a useful starting point for strategic initiatives intended to increase the level of research engagement amongst SLP workforce.
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At the same time, meetings prove the most important predictor of research productivity.
Contrary to popular perception, geographical location was not a predictor of research engagement [ 25, 26].
This latter strategy is particularly pertinent given that in the present study, highest qualification obtained was a significant predictor of research engagement.
Much of the research has focused on the prevalence and predictors of adherence, research methodologies, and the development of measures of adherence.
Significant predictors of instrumental research use included: at the individual level; belief suspension-implement, research use in the past, and at the hospital unit (context) level; culture, and the proportion on nurses possessing a baccalaureate degree or higher.
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CEO of Professional Science Editing for Scientists @ prosciediting.com