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Doctoral Seminar: Roles Nurse Scientist

A series of two-hour colloquia held every other week focusing on issues relative to the development of nursing science, the dissertation, and the role of the nurse scientist. The topics are selected by the students who are at various points of doctoral study in nursing. Included are topics on scientific integrity, the ethical conduct of research, and federal guidelines for inclusion of research subjects. The seminar is required for three semesters, one- credit hour each semester.

Measurement Of Nursing Phenomena

This course focuses on measurement issues in conducting nursing research. Methods of instrument development and assessment of reliability and validity are discussed. The psychometric properties of instruments and measurement methods used in research are analyzed. Students conduct pilot psychometric research related to their dissertation topic.

Measurement Of Nursing Phenomena

This course focuses on measurement issues in conducting nursing research. Methods of instrument development and assessment of reliability and validity are discussed. The psychometric properties of instruments and measurement methods used in research are analyzed. Students conduct pilot psychometric research related to their dissertation topic.

Applied Biostatistics For Outcomes Eval

This course provides opportunities for the application of a variety of quantitative analysis strategies in the evaluation of clinical outcomes. Statistical and other quantitative methods, including bivariate analysis, multiple regression, logistic regression, survival analysis and cost-benefit analysis are discussed. Students will apply these methods in the analysis of existing outcome data, using SPSS. Students also will gain experience in the interpretation and presentation of findings via narrative and tabular formats.

Applied Biostatistics For Outcomes Eval

This course provides opportunities for the application of a variety of quantitative analysis strategies in the evaluation of clinical outcomes. Statistical and other quantitative methods, including bivariate analysis, multiple regression, logistic regression, survival analysis and cost-benefit analysis are discussed. Students will apply these methods in the analysis of existing outcome data, using SPSS. Students also will gain experience in the interpretation and presentation of findings via narrative and tabular formats.

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