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:
FACULTY
Hyochol “Brian” Ahn, PhD, ARNP, ANP-BC
hcahn@ufl.edu
HPNP 3218 (352)273-6385
Office hours: Friday 9-11AM or by appointment
DEPARTMENT CHAIR
M. Josephine Snider, EdD, RN
snidemj@ufl.edu
HPNP 4221
Office hours: By appointment only
Research Methods and Utilization for
Nursing or equivalent
Doctoral statistics orientation
JACKSONVILLE CAMPUS DIRECTOR
(352) 273-6577
Andrea Gregg, DSN, RN
greggac@ufl.edu 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.
NGR 6840
COURSE SYLLABUS
PAGE 2
COURSE SCHEDULE
Section
Day
3051
Tuesday
Time
8:30 – 11:30am
Room
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 352392-HELP or send email to helpdesk@ufl.edu. 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
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NGR 6840
COURSE SYLLABUS
PAGE 3
C. Survival Analysis
TEACHING METHODS
Lectures, readings, computer exercises, written assignments, and class discussions/ activities.
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
1 day + 1minute late to 48 hours late
2 days + 1 minute late to 72 hours late
…
GRADING SCALE
Letter Grade
Grading Scale
A
95-100
A93-94
B+
91-92
B
84-90
B82-83
C+
80-81
C
74-79
* 74 is the minimal passing grade
C72-73
D+
70-71
D
64-69
D62-63
E
61 or below
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One point deducted from achieved grade
Two points deducted from achieved grade
Three points deducted from achieved grade
…
Quality Points
4.0
3.67
3.33
3.0
2.67
2.33
2.0
1.67
1.33
1.0
.67
0.0
NGR 6840
COURSE SYLLABUS
PAGE 4
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
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NGR 6840
COURSE SYLLABUS
PAGE 5
WEEKLY CLASS SCHEDULE
WK
DATE
TOPIC
READINGS
1
1/8
Introduction to Data Analysis
2
1/15
Descriptive Statistics
3
1/22
Graphs; Data Management
4
1/29
5
2/5
6
2/12
Dependent/Independent T-test; One-way
ANOVA; Post-hoc analysis
Two-way ANOVA; Interaction;
ANCOVA
Chi-square; Nonparametric Tests (MannWhitney test, Kruskal-Wallis test)
Field, Ch. 1 & 2
Polit, Ch. 1 & 2
Field, Ch. 3 & 4
Polit, Ch. 2 & 3
PDF files: UTAustin Tutorial
Field, Ch. 9
Polit, Ch. 6 & 7
Field, Ch. 10 & 11
Polit, Ch. 7 & 11
Field, Ch. 15 & 18
Polit, Ch. 8
7
2/19
Correlation and simple regression
8
2/26
Multiple linear regression
9
3/5
SPRING BREAK
10
3/12
Assumptions in Multiple regression
11
3/19
Hierarchical Multiple regression
12
3/26
Psychometrics: Reliability and Validity
Field, Ch. 7
Polit, Ch. 10
Field, Ch. 7
Polit, Ch. 10
Polit, Ch. 10
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
Approved: Academic Affairs Committee:
Faculty:
UF Curriculum:
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Field, Ch. 6
Polit, Ch. 9
Field, Ch. 7
Polit, Ch. 10
HOMEWORK
Homework #1: Descriptive
(Due by 1/29)
Homework #2: T-test,
ANOVA (Due by 2/5)
Homework #3: Two-way
ANOVA, ANCOVA (Due by
2/12)
Homework #4: Chi-square,
correlation (Due by 2/26)
Homework #5: MR,
Hierarchical MR (Due by
3/26)
Portfolio (Due by 4/23)
10/97; 07/03, 01/05, 10/08
12/97; 07/03, 01/05. 11/08
06/99