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AZUSAPACIFICUNIVERSITY

School of Nursing – PhD Program

COURSE SYLLABUS

Fall2011: GNRS 713: Advanced Statistical Analysis

4 UnitsMonday 5:00pm—9:00pmNursing Computer Lab

FACULTY:

Carl Renold, Ph.D., Adjunct Professor.

Contact information: (626) 815-6000

Mailbox location: Copier Room in Nursing

Email: ffice fax: (626) 815-5414

Office Hours: Fridays TBA

Emergency contact:Campus Safety (626) 815-3898

Ph.D. Program Coordinator:Lilli Chavez (626) 815-6000, ext. 5121

UNIVERSITY MISSION STATEMENT:

AzusaPacificUniversity is an evangelical Christian community of disciples and scholars who seek to advance the work of God in the world through academic excellence in liberal arts and professional programs of higher education that encourage students to develop a Christian perspective of truth and life.

SCHOOL OF NURSING MISSION STATEMENT:

Consistent with the mission and purpose of the University, the School of Nursing is a Christian community of discipleship, scholarship, and practice. Its purpose is to advance the work of God in the world through nursing education, collaborative projects, and Church and community service that encourages those affiliated with the School of Nursing (whether faculty, staff, student, graduate, or colleague) to grow in faith and in the exercise of their gifts for service to God and humanity.

COURSEDESCRIPTION:

This course presents common nonparametric and parametric statistical techniques used in health care research.Assumptions of the techniques will be addressed.Specifically, the course will emphasize t-tests, ANOVA, ANCOVA, RANCOVA, correlation, odds ratio, regression, and power analysis.The course will provide the student experience in using SPSS for entering and analyzing data. Reporting results of the analyses will also be incorporated.Making appropriate decisions regarding which statistical techniques to use will be stressed.Critique of statistical analyses of published health care research will also be emphasized.

Note:Each student will use the computer lab each week to become familiar with SPSS in relation to entering data, using statistical techniques, producing charts/graphs, and interpreting output.Students will use databases provided in textbook for analyzes of data using the various statistical techniques.Students will also have the opportunity to use other databases from current nursing studies.

STUDENT OUTCOMES

  1. Determine which statistical techniques are appropriate for selected research designs
  2. Explain the assumptions of selected statistical techniques
  3. Analyze data using the appropriate statistical techniques
  4. Write the results of statistical analyses
  5. Evaluate the appropriateness of statistical analyses reported in research publications
  6. Perform power analyses for selected studies

REQUIRED TEXTBOOK

Green, S. B. & Salkind, N. J. (2011). Using SPSS for Windowsand Macintosh: Analyzing and understanding data (6th edition). Prentice Hall.ISBN-10:0205020402

Recommended Books:

Achen, C. H.Interpreting and using regression. Newbury Park, CA: Sage Publications. ISBN 0803919158

Allison, P.D. Missing Data. Newbury Park, CA: Sage Publications. ISBN 0761916725

Cohen, J.Statistical powerl analysisi for the behavioral sciences.Erlbaum. ISBN 0805802835

Grimm, LG, & Yarnold, PR. (1995). Reading and understanding multivariate statistics. WashingtonD.C.: APA.

Jaccard, J. & Turrisis, R. Interaction effects in multiple regression. Newbury Park, CA: Sage Publications. ISBN 0761927425

Lewis-Beck, M.S.Data Analysis: An Introduction. Newbury Park, CA: Sage Publications. ISBN 0803957726

Munro, B. (2005).Statistical Methods for Health CareResearch, (5th. Edition). Philadelphia: Lippincott.

ISBN: 0-7817-4840-2.

Nourusis, M. SPSS 15.0 Advanced Statistical procedures companion. Prentice Hall.ISBN0131594176

Spector, P.E.Research Designs.Sage.ISBN 0803917090

Prerequisites

A graduate level course on research methods and/or statistics is required.

Class Format

Each class will be a combination of lecture, demonstration, discussion, and hands-on experience with SPSS.Mini-lectures will be given as needed to introduce, clarify, and summarize the reading material or topic of discussion. You are expected to participate actively in the class discussion and computer application exercises.You should read all the assigned readings before coming to class where we will work to facilitate your:

(1) knowledge of SPSS for the Windows environment,

(2) creation, manipulation, and management of data files;

(3) beginning level of command of SPSS programming (drop-down menu and syntax);

(4) understanding of the basic concepts and principles of different statistical techniques;

(5) knowledge of and rationale for appropriate statistical strategies for data analysis;

(6) generation, identification, and interpretation of statistical outputs;

(7) knowledge oftable formulation according to APA guidelines; and

(8) beginning skill development in writing reports for research findings.

Course Calendar

DATE / Week / STATISTICAL Content / Activities and Due Dates / Required readings*
9/12
/ 1 / Introduction to course; Introduction to statistics and SPSS; Research Aims and Design, Questions/Hypotheses; Univariate statistics / Introduction to SPSS; Practice using SPSS and descriptive data. / 20, 21
9/19
/ 2 / Threat to internal and external validity; Reliability;
9/26 / 3 / T-tests / Quiz #1 (covers week 1 and 2 material).
Critique #1: T-test. / 22, 23, 24
10/3 / 4 / Introduction to charting and graphing capabilities of SPSS; Non parametric statistics – chi squared / Introduction to charting and graphing capabilities of SPSS. / 15, 16A, and 40
10/10 / 5 / ANOVA / Quiz #2 (covers week 5 material).
Critique # 2: ANOVA / 25
10/17 / 6 / ANCOVA / 27
10/24 / 7 / Midterm Exam
10/31 / 8 / Multivariate ANOVA / 28
11/7 / 9 / Repeated measures ANOVA / Quiz #3 (covers week 8 & 9 material).Critique # 3: Multivariate ANOVA or Repeated measures ANOVA / 29
11/14 / 10 / Correlation& Regression / Quiz #4 (covers week 10 material).
Critique # 4: Regression / 31, 33
11/21 / 11 / Logistic regression; Odds ratio; / Handout
11/28 / 12 / Power Analysis / Handout
12/5 / 13 / Paper Presentation and Review
12/12 / 14 / Final Exam

Green – lessons;Online;Course schedule, topics, evaluation and assignments may be changed at the instructor’s discretion.

ASSIGNMENTS

Critique Assignment

  1. Critique # 1:T-test
  2. Critique # 2:ANOVA
  3. Critique # 3:Multivariate ANOVA, Repeated measures ANOVA
  4. Critique # 4:Regression

Each student will find a research article (preferably in area of interest) using each of the statistical analyses above. The student will bring copies for all of the students and faculty member that week, a summary to include:

  1. Title
  2. Aims or goal
  3. Research question/hypothesis
  4. Statistical Analyses used
  5. Results/Interpretations of authors

The above should be about a page (no more than 2).

During class, the student will guide the other students in a critique using following guidelines:

  1. Was the aim/goal/objective appropriate?
  2. What were research questions/hypotheses or were they implied? Were they appropriate?
  3. Were the statistical analyses appropriate?If so, why? If not, why?
  4. Were any of the assumptions of the statistical analyses violated?If so what
  5. Were the interpretations appropriate

Criteria for Critique

Write up5 points

Title

Aims or goal

Research question/hypothesis

Statistical Analyses used

Results/Interpretations of authors

In class facilitation5 points

Was the aim/goal/objective appropriate?

What were research questions/hypotheses or were they implied? Were they appropriate?

Were the statistical analyses appropriate? If so, why? If not, why?

Were any of the assumptions of the statistical analyses violated? If so what

Were the interpretations appropriate?

Midterm exam

The midterm exam will be an in-class exam that will cover research aims and design, questions/hypotheses, charting and graphing capabilities of SPSS, threat to internal and external validity and reliability and the following statistical tests:chi squared; T-tests and ANOVA.

Faith Integration

God is all powerful and possesses all knowledge. In groups of two or three, write a short paper (five pages) examining the phenomena of chaos. Explain how God has given us statistics and research methods to make order out of chaos.

Final exam

The final exam will be an in-class exam that will cover the following statistics:ANCOVA; Multifactorial ANOVA; Repeated measures ANOVA; Correlation; Regression; Logistic regression; Odds ratio; and power analyses.

Evaluation

Quizzes (10 points each)……….…………...……………………………………….40pts
Critiques (10 points each)...... 40 pts

Midterm exam...... 50 pts

Faith Integration paper...... 20 pts

Final exam...... 50 pts

Total ...... 200 pts

A / Superior knowledge regarding details, assumptions, implications; superior thinking with information relevant to application and critique relative to statistics in health care
B / More than adequate knowledge regarding technical terms, distinctions, and possesses an ability to use statistics in health care
C / Basic knowledge needed to function and carry on learning regarding major principles and central terms in reference to statistical analyses.Possesses an awareness of field or discipline relative to statistics used in health care
C- / Doctoral credit not given for the grade of C-
D /

Doctoral credit not given for the grade of D

F / Doctoral credit not given for the grade of F

Point Scale

94-100%=A

90-93%=A-

87-89%=B+

84-86%=B

80-83%=B-

77-79%=C+

70-76%= C

Ph.D. students may not receive a grade below B- in doctoral course work. If the student earns one course grade below B-, that one course may be repeated one time for a higher grade.The student is automatically placed on probation and is expected to repeat the course for a higher grade the next time the course is offered or within two semesters, whichever is sooner.

Ph.D. students may have not more than one C in any course in the program.This course must be repeated at its next regularly scheduled offering, and passed with a grade of B or better.A second B- grade in this or any subsequent course will result in dismissal from the program even if the GPA is above the minimum.

Note: C-, D, & F are unacceptable grades in the PhD program

Course Policies

Attendance to class is mandatory.Students should contact faculty member if unable to attend.

No late assignments will be accepted; however, in the event of unusual circumstances, the student must inform the instructor immediately the reason for not completing the assignment.A new due date will be negotiated with the student depending on the circumstances.

Available Support Services for Students with Disabilities

Students in this course who have a disability that might prevent them from fully demonstrating their abilities should contact an advisor in the LearningEnrichmentCenter (ext. 3849) as soon as possible to initiate disability verification and discuss accommodations that may be necessary to ensure full participation in the successful completion of course requirements.Written documentation of the disability, along with a request for accommodation, should be presented to the course instructor at the beginning of the course, or as soon as the disability has been diagnosed.

HIPAA Compliance

In order to avoid violations of HIPAA, you must not collect in your notes or include in any reports (e.g., patient care plans) any information that would permit a third party to identify a specific patient. Such information includes, but is not limited to, a patient’s name, address, social security number, or the name of the hospital or clinic where you observed the patient. For example, the diagnosis alone or situation may be such as to permit others to identify the patient. If other information permits a third party to identify the patient, you should consult with your faculty member regarding the appropriate way to comply with your course assignment prior to preparing a report about that patient.

GNRS 713 Syllabus—Fall 2011 Renold