Introduction, Data screening and management, Matrix Algebra Multivariate Analysis of Variance (MANOVA) Classification and Description (Discriminant Analysis & Logistic Regression) Multivariate Multiple regression Canonical Correlation Multivariate General Linear Model Principal Components Analysis Exploratory Factor Analysis Structural Equation Modeling TEACHING METHODS Lectures, readings, audiovisual materials, class discussion, and computer exercises. LEARNING ACTIVITIES Data analysis with statistical packages for statistical techniques Discussion of interpretation of findings from analysis Discussion of research articles and study ideas EVALUATION METHODS/COURSE GRADE CALCULATION 7 Exercises: (5% each) 35% 3 Exams (15%, 25%, 20%) 55% Bare Research Proposal: 5% MAKE UP POLICY If lateness is unavoidable, notify the professor prior to the scheduled due date/time. A grade penalty of 10 percentage points per day will be assigned for late assignments unless prior approval is obtained. No work will be accepted 2 days after the due date. Exams will not be accepted late, and make-up exams are not available. GRADING SCALE/GRADE POINTS A 95-100 (4.0) C 74-79* (2.0) A- 93-94 (3.67) C- 72-73 (1.67) B+ 91- 92 (3.33) D+ 70-71 (1.33) B 84-90 (3.0) D 64-69 (1.0) B- 82-83 (2.67) D- 62-63 (0.67) C+ 80-81 (2.33) E 61 or below (0.0) * 74 is the minimal passing grade For more information on grades and grading policies, please refer to University’s grading policies: http://gradcatalog.ufl.edu/content.php?catoid=4&navoid=907#grades PROFESSIONAL BEHAVIOR The College of Nursing expects all Nursing students to be professional in their interactions with patients, colleagues, faculty, and staff and to exhibit caring and compassionate attitudes. These and other qualities will be evaluated during patient contacts and in other relevant settings by both faculty and peers. Behavior of a Nursing student reflects on the student's
Introduction, Data screening and management, Matrix Algebra Multivariate Analysis of Variance (MANOVA) Classification and Description (Discriminant Analysis & Logistic Regression) Multivariate Multiple regression Canonical Correlation Multivariate General Linear Model Principal Components Analysis Exploratory Factor Analysis Structural Equation Modeling TEACHING METHODS Lectures, readings, audiovisual materials, class discussion, and computer exercises. LEARNING ACTIVITIES Data analysis with statistical packages for statistical techniques Discussion of interpretation of findings from analysis Discussion of research articles and study ideas EVALUATION METHODS/COURSE GRADE CALCULATION 7 Exercises: (5% each) 35% 3 Exams (15%, 25%, 20%) 55% Bare Research Proposal: 5% MAKE UP POLICY If lateness is unavoidable, notify the professor prior to the scheduled due date/time. A grade penalty of 10 percentage points per day will be assigned for late assignments unless prior approval is obtained. No work will be accepted 2 days after the due date. Exams will not be accepted late, and make-up exams are not available. GRADING SCALE/GRADE POINTS A 95-100 (4.0) C 74-79* (2.0) A- 93-94 (3.67) C- 72-73 (1.67) B+ 91- 92 (3.33) D+ 70-71 (1.33) B 84-90 (3.0) D 64-69 (1.0) B- 82-83 (2.67) D- 62-63 (0.67) C+ 80-81 (2.33) E 61 or below (0.0) * 74 is the minimal passing grade For more information on grades and grading policies, please refer to University’s grading policies: http://gradcatalog.ufl.edu/content.php?catoid=4&navoid=907#grades PROFESSIONAL BEHAVIOR The College of Nursing expects all Nursing students to be professional in their interactions with patients, colleagues, faculty, and staff and to exhibit caring and compassionate attitudes. These and other qualities will be evaluated during patient contacts and in other relevant settings by both faculty and peers. Behavior of a Nursing student reflects on the student's