Current Information (Fill in for changes) Page number in current catalog Online

Course Prefix and Number STAT 9200 Course Title Statistics II

Class Hours 3 Laboratory Hours 0 Credit Hour 3 Prerequisites Admission to the program or permission of instructor Description (or Current Degree Requirements)

This course presents advanced treatment of the design of experiments and the statistical analysis of experimental data using analysis of variance (ANOVA), multiple regression, multivariate analysis of variance (MANOVA), discriminant analysis, cluster analysis and factor analysis.

II. Proposed Information (Fill in for changes and new courses) Course Prefix and Number NURS 9102

Course Title Statistics II

Class Hours 3 Laboratory Hours 0 Credit Hours 3 _ Prerequisites Admission to the program or permission of instructor Description (or Proposed Degree Requirements)

See above.

III. Justification

This is the second of two statistics courses required for the program. It gives students knowledge of parametric statistics used in the conduct of(applied) quantitative research methods. Students learn the appropriate application of common parametric statistical methods for nursing, nursing education, and health research.

Delete word "applied"

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Instructor:

Text:

Prerequisites:

Objectives:

Instructional Method

Method of Evaluation

V. Resources and Funding Required (New Courses only)

Resource Amount

Faculty

Other Personnel

Equipment

Supplies Travel

New Books

New Journals

Other (Specify)

TOTAL

Funding Required Beyond

Normal Departmental Growth

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1bis form will be completed by the requesting department and will be sent to the Office of the Registrar once the course has been approved by the Office of the President.

The form is required for all new courses.

DISCIPLINE

COURSE NUMBER

COURSE TITLE FOR LABEL (Note: Limit 30 spaces)

CLASS-LAB-CREDIT HOURS Approval, Effective Term

Grades Allowed (Regular or SIU)

If course used to satisfy CPC, what areas?

Learning Support Programs courses which are required asprerequisites

APPROVED:

Vice President for Academic Affairs or Designee

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Vll Attach Syllabus

Kennesaw State University

WellStar College of Health and Human Services WellStar School of Nursing

PhD in Nursing Program

Course Title: NURS 9102 Statistics II Credits: 3 Credits (3-0-3)

Class: Time and Place TBA

Prerequisite: Admission to the Program, Permission of Instructor Course Description:

This course presents advanced treatment of the design of experiments and the statistical analysis of experimental data using analysis of variance (ANOVA), multiple regression, multivariate analysis of variance (MANOVA), discriminant analysis, cluster analysis and factor analysis.

Faculty: Dr. Carl Russell Required

Textbook: Fields, A. (2013). Discovering statistics using IBM SPSS statistics (4^th ed) Los Angeles, Sage.

Course Outcomes:

Upon successful completion of the course, students should be able to:

1. Recognize, use and interpret completely randomized, randomized complete block factorial and repeated measures analysis of variance designs using SPSS.

2. Build, interpret and use multiple linear regression models using SPSS.

3. Build, interpret and use logistic regression models using SPSS.

4. Perform, using SPSS, and interpret multivariate analysis of variance.

5. Perform, using SPSS, and interpret principle components analysis.

6. Perform, using SPSS, and interpret exploratory and confirmatory factor analysis.

7. Perform, using SPSS, and interpret cluster analysis.

Instructional Methods:

Lecture, discussion, problem solving, statistical reasoning, work with statistical software.

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Evaluation Methods:

Take-home and in-class tests, statistical project.

Written Assignments: There will be two take-home tests, an in-class midterm exam and final project. Each take-home test, the in-class midterm exam and the final project will count 25% of your grade in the course.

Grading: Each question on each take-home test, the midterm exam will be graded according to the following rubric:

If your response is correct and the underlying statistical reasoning process is appropriate and clearly communicated, you will receive 3 points.

If your response indicates substantial and appropriate statistical reasoning, but is lacking in some minor way(s), you will receive 2 points.

If your response indicates some appropriate statistical reasoning, but fails to address the question's main statistical ideas, you will receive 1 point.

If your response indicates no appropriate statistical reasoning, you will receive no points. Your grade in the course will be assigned according to the following scale based on your percentage of the total number of points in the semester:

90%-100% A

80% - 89% B

70% - 79% C

60% - 69% D

0% - 59% F

Each group should submit a project report. The project report should include:

1. Motivation of the project.

2. Existing approaches

3Method you chose and the reason, or model you created for the specific problem 4. Experimental studies and conclusions

Content Outline:

1: Review of one-way ANOVA and pairwise comparisons 2: Experimental Designs

a) randomized complete block b) factorial designs

c) repeated measures designs

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3: Multiple Linear Regression 4: Logistic Regression

5: Multivariate Analysis of Variance 6: Principal Components

7: Factor Analysis 8: Cluster Analysis

Academic Integrity Statement

• Every KSU student is responsible for upholding the provisions of the Student Code of Conduct, as published in the Undergraduate and Graduate catalogs. Section II of the Student Code of Conduct addresses the University's policy on academic honesty, including provisions regarding plagiarism and cheating, unauthorized access to

University materials, misrepresentation/falsification of University records or academic work, malicious removal, retention, or destruction of library materials,

malicious/intentional misuse of computer facilities and/or services, and misuse of student identification cards. Incidents of alleged academic misconduct will be handled through the established procedures of the University Judiciary Program, which includes either an

"informal" resolution by a faculty member, resulting in grade adjustment, or a formal hearing procedure, which may subject a student to the Code of Conduct's minimum one semester suspension requirement.

• Preparation for class and active participating in class discussion are expectations. The syllabus may change. Students are responsible for changes in the course and other announcements in class and by e-mail.

• Students who find that they cannot continue in the university for the entire semester because of illness or other reason should complete an official withdrawal form. Forms may be obtained from the Office of the Registrar. Students who officially withdraw from the university with the approval of the Dean will be assigned grades of "W". This grade will not affect the overall scholastic average.

• Students may, by means of the same withdrawal form, and with the approval of the Dean, withdraw from individual courses while retaining other courses on their schedules. See University Course Schedule for the last day to withdraw without academic penalty.

Failure to withdraw by the appropriate date will mean that the student has elected to receive the final grades earned in the course. The only exceptions to these withdrawal regulations will be for those instances that involve unusual and fully documented circumstances.

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