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Course Listings 113911b, Development of Nursing Science. 3 credit hours. This course explores thephilosophical problems and issues basic to the development of scientific knowledge. Italso explores the major schools of thought in contemporary Western philosophy ofscience and their influence on nursing science and practice. In Part I, students examinethe ways in which scientific knowledge is attained in the natural sciences and behavioral/socialsciences. Topics for discussion include growth of scientific knowledge,nature of theories, confirmation, explanation, and causality. In Part II, emphasis is on historicalevolution of contemporary nursing science. Dickoff and James’s levels of inquiry,especially prescriptive theory, are examined. Three hours per week. Doctoral programfaculty.913a, Conceptual Basis for Nursing Science. 3 credit hours. This course examines thenature of scientific knowledge and the development of the conceptual underpinnings ofnursing science. The contribution to nursing science of various approaches to knowledgesynthesis and theory development is emphasized. Approaches to concept analysis,development, and critique is examined. Students are expected to complete a formalanalysis of a concept of interest to them and to critique the contribution of the conceptto nursing science. Required for all doctoral students. Three hours per week. C. Gilliss,K. Knafl.915 a/b, Doctoral Research Practicum I and II. 1 credit hour per term for two years.This course focuses on the doctoral student’s development of beginning research skillsunder the direction of a mentor. The theory component focuses on the overview of theresearch process, while the mentored research practicum emphasizes collaborationbetween mentor and student in the development of specific research skills. One hour perweek. Doctoral program faculty.917b, Advanced Statistics for Clinical Nursing Research. 3 credit hours for doctoralstudents; 2 credit hours for master’s students taking the course as an elective. Thisadvanced statistics course covers topics chosen from analysis of variance, multiple regression,logistic regression, factor analysis, survival analysis, discriminant analysis, andanalysis of linear structural models. The course builds on knowledge of basic statisticsand probability covered in 529a. Doctoral students must pass the 529a examination priorto enrolling in this course. The SAS software is used for statistical analysis. Two hours ofclass and a one-hour computer lab per week. G. Knafl.919b, Proseminar in Survey Research Methods. 2 credit hours. This advanceddoctoral seminar provides the student with in-depth knowledge of survey research methods.Topics include advantages and disadvantages of various survey approaches, includingmailed, telephone, and face-to-face interview surveys; analysis of research instrumentsfor surveys; sampling issues; and data analysis. Students carry out a pilot projectduring the course. Prerequisites: 901a and 903a, or the equivalent, and permission of theinstructor. Two hours per week. Offered every other year. M. Grey.