NGR 6845

COURSE SYLLABUS

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UNIVERSITY OF FLORIDA

COLLEGE OF NURSING

COURSE SYLLABUS

SUMMER 2011

COURSE NUMBER NGR 6845

COURSE TITLE Applied Statistical Analysis II

CREDITS 3

PLACEMENT PhD Program

PREREQUISITE NGR 6840: Applied Statistical Analysis I

FACULTY Cynthia Wilson Garvan, PhD

Cell: (352) 870-5403

Office hours: Tuesday 3:00 – 4:00 pm and by appointment

DEPARTMENT CHAIR M. Josephine Snider, EdD, RN, CS

HPNP 4203 (352) 273-6392

Office hours: By appointment only

JACKSONVILLE CAMPUS DIRECTOR Andrea Gregg, DSN, RN

Jacksonville (904) 244-5172

Office hours: By appointment only

COURSE DESCRIPTION The purpose of this course is to provide the student with an opportunity to analyze and apply advanced multivariate statistical procedures. Emphasis is on the utilization and interpretation of advanced multivariate procedures. An additional emphasis will be on critiquing data analysis in current research articles. The focus is on understanding and applying advanced multivariate statistical procedures.

COURSE OBJECTIVES Upon completion of this course, the student will be able to:

1.  Apply advanced multivariate procedures for statistical analysis, data reduction, and modeling to selected research questions.

2.  Develop an advanced appropriate statistical design and analysis plan for selected questions.

3.  Utilize selected computer programs (SPSS and at least one other) to analyze data.

4.  Critique data analysis and interpretation of results in current research articles.

COURSE SCHEDULE

Section Day Time Room

7980 Tuesday 8:00-12:30 HPNP G-112 Gainesville

7982 Classroom B Jacksonville

Duxbury Tallahassee

E-Learning (Sakai) is the course management system that you will use for this course. E-Learning is accessed by using your Gatorlink account name and password at http://lss.at.ufl.edu. There are several tutorials and student help links on the eLearning login site. If you have technical questions call the UF Computer Help Desk at 352-392-HELP or send email to .

It is important that you regularly check your Gatorlink account email for College and University wide information and the course eLearning 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 be present for all scheduled 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 or as soon as possible thereafter. Instructors will then make an effort to accommodate reasonable requests. A grade penalty may be assigned for late assignments, including tests. Make-up exams may not be available in all courses.

ACCOMMODATIONS DUE TO DISABILITY

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

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.

TOPICAL OUTLINE

  1. Logistic regression
  2. Path analysis with causal modeling
  3. Factor analysis
  4. Repeated measures
  5. Multi-dependent variable analysis (MANOVA)
  6. Data reduction (reliability analysis; principle components analysis/factor analysis)
  7. Nonparametric methods
  8. Survival Analysis

TEACHING METHODS

Lectures, readings, computer exercises, and class discussion.

LEARNING ACTIVITIES

  1. Data analysis with SPSS for statistical techniques
  2. Interpretation of findings from analysis
  3. Critique of data analysis and interpretation of results in articles reporting research findings

EVALUATION METHODS/COURSE GRADE CALCULATION

Quizzes 20%

Homework 40%

Exams 30%

Total 100%

GRADING SCALE/QUALITY 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

REQUIRED TEXTS

Field, A. (2005). Discovering statistics using SPSS. (2nd ed.). Thousand Oaks, CA: Sage Publications.

SPSS software and a laptop computer.


WEEKLY CLASS SCHEDULE

DATE / TOPIC
May 10 / Review
May 17 / Regression
May 24 / Logistic Regression
May 31 / Path analysis with causal modeling
June 6 / Factor analysis
June 13 / Repeated measures
June 20 / No class – Summer break
June 27 / Repeated measures
July 5 / Multi-dependent variable analysis (MANOVA)
July 12 / Data reduction (reliability analysis; principal components analysis/factor analysis)
July 19 / Nonparametric methods
July 26 / Survival analysis
Aug 2 / Final Exam

Approved: Academic Affairs Committee: 10/97; 07/03; 06/06; 10/08

Faculty: 12/97; 07/03; 06/06; 11/08

UF Curriculum: 06/99

h:\faculty work\summer 2011\ngr 6845 sections 7980 and 7982garvan.doc