Citation Manager Abstract Supportive nursing leadership is important for the successful introduction and implementation of advanced practice nursing roles in Canadian healthcare settings. For this paper, we drew on pertinent sections of a scoping review of the literature and key informant interviews conducted for a decision support synthesis on advanced practice nursing to describe and explore organizational leadership in planning and implementing advanced practice nursing roles. Leadership strategies that optimize successful role integration include initiating systematic planning to develop the roles based on patient and community needs, engaging stakeholders, using established Canadian role implementation toolkits, ensuring utilization of all dimensions of the role, communicating clear messages to increase awareness about the roles in the organization, creating networks and facilitating mentorship for those in the role, and negotiating role expectations with physicians and other members of the healthcare team.
Students will develop essential skills needed to be successful in a doctoral program. Foundations of theory and practice in doctoral studies will be taught. Students will gain scholarly and professional writing skills in the context of their discipline.
Dissertation structure and process will be introduced. Students will also complete their first colloquia as part of the course requirements.
GRAD - Colloquium I 1 The doctoral colloquium is designed to build a community and ensure that learners have the support, motivation and guidance necessary to succeed in their doctoral programs.
This first colloquia will also provide students with an overview of the doctoral program expectations, coursework sequence, doctoral student support services, as well as comprehensive exam and dissertation requirements. The first colloquium is designed to establish a learning community and graduate culture for the doctoral students at Franklin University.
The doctoral colloquium will be held at the University's main campus in facilities that provide appropriate online interaction for out-of-state and international students.
A book fee may be included in your tuition charges for required course materials. GRAD - Colloquium II 1 The doctoral colloquium is designed to build a community and ensure that learners have the support, motivation and guidance necessary to succeed in their doctoral programs.
The second colloquia will aid students in their transition from coursework to doctoral candidacy. Students will be oriented to the process and requirements for the upcoming comprehensive exam.
In addition, they will begin to plan how to navigate and fulfill the requirements of the dissertation process. In addition, students will continue to build their learning network and community through this experience. Topics will include basic statistical terminology, statistical graphs, numerical summaries of data, probability concepts and distributions, and sampling distributions.
The course is designed to integrate the use of SAS with the aforementioned concepts and to provide opportunities to interpret its outputs. MATH - Applied Statistics 3 Applications of statistical techniques and methods will be explored, including fundamental statistical tests for central values, variances and categorical variables; regression analysis and general linear model.
The emphasis will be on selecting and applying the appropriate statistical techniques as well as interpretation and reporting of results with the use of a major statistical software.
The course is also designed to provide numerous opportunities to critique statistical techniques commonly used in empirical research articles. Students will be taught how to construct new theories, connect research theory and design to application and practice in the organization.
This course will begin to prepare students to identify a research problem, conduct a literature review, and select appropriate research methodology for their dissertation.
Issues of research ethics will be discussed. The course is designed to broaden and deepen student understanding of advanced statistics in multivariate techniques.
The emphasis of the course is on practical application of concepts learnt. To this end, the course is developed to balance theory and application and provides numerous opportunities for application to practical problems. Students will also complete their second colloquia.
This course leads students on an in depth treatment of qualitative research methodology, exploring its theoretical underpinnings and associated methods for design, data collection, interpretation, and reporting of results.
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