University of Florida s11

UNIVERSITY OF FLORIDA COLLEGE OF NURSING COURSE SYLLABUS SPRING 2013

COURSE NUMBER NGR 6840

COURSE TITLE Applied Statistical Analysis I

CREDITS 3

PLACEMENT Variable; Required Core Course

PREREQUISITE NGR 6803: Research Methods and Utilization for Nursing or equivalent Doctoral statistics orientation

FACULTY Hyochol “Brian” Ahn, PhD, ARNP, ANP-BC [email protected] HPNP 3218 (352)273-6385 Office hours: Friday 9-11AM or by appointment

DEPARTMENT CHAIR M. Josephine Snider, EdD, RN [email protected] HPNP 4221 (352) 273-6577 Office hours: By appointment only

JACKSONVILLE CAMPUS DIRECTOR Andrea Gregg, DSN, RN [email protected] HPNP 4221 (904) 244-5172 Office hours: By appointment only

COURSE DESCRIPTION This course provides the student with the opportunity to examine procedures for advanced multivariate statistical procedures as applied in research. Emphasis is on the utilization and interpretation of multivariate procedures. An additional emphasis will be on critiquing data analysis in current research articles. The focus is on understanding and applying selected multivariate statistical procedures.

COURSE OBJECTIVES Upon completion of this course, the student will be able to: 1. Critically examine theoretical principles of selected multivariate analyses and their application to nursing research. 2. Compare and contrast selected multivariate statistical methods used to analyze research data. 3. Develop the appropriate statistical design and analysis plan for selected research questions. 4. Utilize diagnostics to determine whether the underlying statistical assumptions are met, and to find outliers or influential cases. 5. Critique data analysis and interpretation of complex results in current research articles.

COURSE SCHEDULE Section Day Time Room 3051 Tuesday 8:30 – 11:30am G112 Sakai is the course management system that students will use for this course. Sakai is accessed by using Gatorlink account name and password at http://lss.at.ufl.edu. There are several tutorials and student help links on the Sakai login site. If students have technical questions call the UF Computer Help Desk at 352- 392-HELP or send email to [email protected]. It is important that students regularly check Gatorlink account email for College and University wide information and the Sakai site for announcements and notifications. Course websites are generally made available on the Friday before the first day of classes.

ATTENDANCE Students are expected to present for all classes, other learning experiences and examinations. Students who have extraordinary circumstances preventing attendance should explain these circumstances to the course instructor prior to the scheduled class as soon as possible. Instructors will make an effort to accommodate reasonable requests.

ACCOMMODATIONS DUE TO DISABILITY Each semester, students are responsible for requesting a memorandum from the Disability Resource Center notify faculty of their requested individual accommodations. This should be done at the start of the semester.

COUNSELING AND STUDENT HEALTH Students may occasionally have personal issues that arise on the course of pursuing higher education or that may interfere with their academic performance. If you find yourself facing problems affecting your coursework, you are encouraged to talk with an instructor and to seek confidential assistance at the University of Florida Counseling Center, 352-392-1575, or Student Mental Health Services, 352-392-1171. Visit their web sites for more information: http://www.counsel.ufl.edu/ or http://www.health.ufl.edu/shcc/smhs/index.htm#urgent

STUDENT HANDBOOK Students are to refer to the College of Nursing Student Handbook for information about College of Nursing policies, honor code, and professional behavior.

ACADEMIC HONESTY The University of Florida Student Conduct and Conflict Resolution Policy may be found at http://www.dso.ufl.edu/sccr/honorcode.php

TOPICAL OUTLINE I. General Linear Model statistics A. Multiple regression B. Repeated Measures ANOVA C. Multi-level modeling II. Probablistic statistics A. Logistic Regression B. Cox Hazards Regession C. Survival Analysis

TEACHING METHODS Lectures, readings, computer exercises, written assignments, and class discussions/ activities. NGR 6840 COURSE SYLLABUS PAGE 3

LEARNING ACTIVTIES 1. Interpretation of findings from analyses 2. Critique of data analysis and interpretation of results in articles reporting research findings.

EVALUATION METHODS/COURSE GRADE CALCULATION  Assignment: 50% (10% x 5)  Portfolio: 25%  Final Exam: 25% A grade penalty of one point each day may be assigned for late assignments. Make-up exams may not be available in all courses. “Late” begins one minute after the due time (e.g., an assignment due at 6:00 AM is considered late at 6:01 AM). Penalties are as follows:

Assignments/Papers will be returned within 2 weeks.

1 minute to 24 hours late One point deducted from achieved grade 1 day + 1minute late to 48 hours late Two points deducted from achieved grade 2 days + 1 minute late to 72 hours late Three points deducted from achieved grade … …

GRADING SCALE Letter Grade Grading Scale Quality Points A 95-100 4.0 A- 93-94 3.67 B+ 91-92 3.33 B 84-90 3.0 B- 82-83 2.67 C+ 80-81 2.33 C 74-79 2.0 * 74 is the minimal passing grade C- 72-73 1.67 D+ 70-71 1.33 D 64-69 1.0 D- 62-63 .67 E 61 or below 0.0

D:\Docs\2017-12-29\023664b2199ba7ca6477df20c1de83a7.docx REQUIRED TEXTS IBM SPSS Computer Program. All students must have access to the SamplePower and Missing Values

Analysis module.

Polit, D. (2010). Statistics and data analysis for nursing research (2nd ed.). New York: Prentice Hall.

Field, A. (2009). Discovering statistics using SPSS (3rd ed.). Sage Publications, London

RECOMMENDED TEXTS

SAS Statistical Software Program.

Nicol, A., and Pexman, P. (2010). Presenting your findings: A practical guide for creating tables (6th ed.).

American Psychological Association, Washington, DC.

Nicol, A., and Pexman, P. (2010). Displaying your findings: A practical guide for creating figures,

posters, and presentations (6th ed.). American Psychological Association, Washington, DC.

Field, A., Miles, J., and Field, Z. (2012). Discovering statistics using R. Sage Publications, London NGR 6840 COURSE SYLLABUS PAGE 5

WEEKLY CLASS SCHEDULE

WK DATE TOPIC READINGS HOMEWORK

1 1/8 Introduction to Data Analysis Field, Ch. 1 & 2 Polit, Ch. 1 & 2 2 1/15 Descriptive Statistics Field, Ch. 3 & 4 Polit, Ch. 2 & 3 3 1/22 Graphs; Data Management PDF files: UT- Austin Tutorial 4 1/29 Dependent/Independent T-test; One-way Field, Ch. 9 Homework #1: Descriptive ANOVA; Post-hoc analysis Polit, Ch. 6 & 7 (Due by 1/29) 5 2/5 Two-way ANOVA; Interaction; Field, Ch. 10 & 11 Homework #2: T-test, ANCOVA Polit, Ch. 7 & 11 ANOVA (Due by 2/5) 6 2/12 Chi-square; Nonparametric Tests (Mann- Field, Ch. 15 & 18 Homework #3: Two-way Whitney test, Kruskal-Wallis test) Polit, Ch. 8 ANOVA, ANCOVA (Due by 2/12) 7 2/19 Correlation and simple regression Field, Ch. 6 Polit, Ch. 9 8 2/26 Multiple linear regression Field, Ch. 7 Homework #4: Chi-square, Polit, Ch. 10 correlation (Due by 2/26) 9 3/5 SPRING BREAK

10 3/12 Assumptions in Multiple regression Field, Ch. 7 Polit, Ch. 10 11 3/19 Hierarchical Multiple regression Field, Ch. 7 Polit, Ch. 10 12 3/26 Psychometrics: Reliability and Validity Polit, Ch. 10 Homework #5: MR, Hierarchical MR (Due by 3/26) 13 4/2 Sample size estimation PDF files in Sakai

14 4/9 SAS programming I

15 4/16 SAS programming II

16 4/23 Student Presentations Portfolio (Due by 4/23)

Approved: Academic Affairs Committee: 10/97; 07/03, 01/05, 10/08 Faculty:12/97; 07/03, 01/05. 11/08 UF Curriculum: 06/99

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