Program Requirements
A student who has obtained a master's degree at Ã山ǿ¼é or at an approved institution elsewhere may, on the recommendation of the School, be registered in the second year of the Ph.D. program.
Each student's program is designed with the thesis supervisor taking into account the student's previous academic preparation, needs, and research interests.
Thesis
A thesis for the doctoral degree must constitute original scholarship and must be a distinct contribution to knowledge. It must show familiarity with previous work in the field and must demonstrate ability to plan and carry out research, organize results, and defend the approach and conclusions in a scholarly manner. The research presented must meet current standards of the discipline; as well, the thesis must clearly demonstrate how the research advances knowledge in the field. Finally, the thesis must be written in compliance with norms for academic and scholarly expression and for publication in the public domain.
Required Courses
A minimum of 18 credits beyond the master's level. Courses and seminars in research design, issues of measurement, advanced nursing, development of theory in nursing, advanced statistics, and complementary course(s) in the student's major field of study are compulsory. The student's program is decided in consultation with the thesis supervisor.
The nursing courses are offered every two years and incoming students may begin their studies with either Schedule A or B.
The following table outlines the suggested sequence of courses for the program:
Ph.D. Schedule A:
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NUR2 703 Issues of Measurement (3 credits)
Overview
Nursing : An examination of the underlying theories of measurement and techniques for assessing the validity and reliability of data collection instruments. Issues related to the development and/or utilization of instruments to measure target variables in nursing and health research are addressed.
Terms: This course is not scheduled for the 2015-2016 academic year.
Instructors: There are no professors associated with this course for the 2015-2016 academic year.
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NUR2 730 Theory Development in Nursing (3 credits)
Overview
Nursing : This course surveys the history of nursing theory development with special emphasis placed on the approaches theory development and the factors affecting these approaches. Issues such as the level of theory, where theory derives are examined in light of the needs of a practice discipline. Future directions for theory development in nursing are explored.
Terms: This course is not scheduled for the 2015-2016 academic year.
Instructors: There are no professors associated with this course for the 2015-2016 academic year.
Prerequisite: NUR2 620 or equivalent
Selected courses (Statistics, complementary, or substantive courses).
Ph.D. Schedule B:
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NUR2 702 Quantitative Research (3 credits)
Overview
Nursing : Examination of various experimental, quasi-experimental, correlational, and survey designs with particular focus on the use of these designs in nursing research.
Terms: This course is not scheduled for the 2015-2016 academic year.
Instructors: There are no professors associated with this course for the 2015-2016 academic year.
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NUR2 780 Advanced Nursing (3 credits)
Overview
Nursing : An in-depth analysis of selected issues and developments within nursing and health care. Included will be topics relevant to the areas of research and clinical expertise of the student and faculty.
Terms: This course is not scheduled for the 2015-2016 academic year.
Instructors: There are no professors associated with this course for the 2015-2016 academic year.
Selected courses (Statistics, complementary, or substantive courses).
Semester Following Completion of Coursework:
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NUR2 701 Comprehensive Examination (1 credit)
Overview
Nursing : An examination that must be passed by all doctoral students in order to achieve candidacy status and continue in the doctoral program.
Terms: Fall 2015, Winter 2016
Instructors: Lavoie-Tremblay, Melanie (Fall) Lavoie-Tremblay, Melanie (Winter)
Note: A minimum of 3 credits in advanced statistics and substantive courses is planned with the thesis supervisor.