THE RESEARCH-FOCUSED DOCTORAL PROGRAM IN NURSING: PATHWAYS TO EXCELLENCE
I. Current Information (Fill in for changes) Page number in current catalog Online
Course Prefix and Number STAT 9100 Course Title Statistics 1
Class Hours 3 Laboratory Hours 0 Credit Hours__3__
Prerequisites Admission to the program or permission of instructor Description (or Current Degree Requirements)
This course presents basic concepts and techniques of statistical methods, including: the collection and display of information, data, analysis and statistical measures; variation, sampling and sampling distributions; point estimation, confidence intervals and tests of hypotheses for one and two sample problems; principles of one-factor experimental design, one-way analysis of variance and multiple comparisons; correlation and simple linear regression analysis; contingency tables and tests for goodness of fit.
SPSS statistical software will be used.
II. Proposed Information (Fill in for changes and new courses) Course Prefix and Number NURS 9101
Course Title Statistics 1
Class Hours 3 Laboratory Hours 0 Credit Hours 3
Prerequisites Admission to the program or permission of instructor
See above.
Ill. Justification
This is the first of two statistics courses required for the program. It gives students knowledge of descriptive statistics used in the conduct of (applied) quantitative research methods. Students learn the appropriate application of common descriptive statistical methods and the use of SPSS.
Word "applied" will be deleted
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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
65 This 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 S/U)
If course used to satisfy CPC, what areas?
Learning Support Programs courses which are required as prerequisites
APPROVED:
Vice President for Academic Affairs or Designee _
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VII Kennesaw State University
WellStar College of Health and Human Services WellStar School of Nursing
PhD in Nursing Program
Course Title: NURS 9101 Statistics I Credits: 3 Credits (3-0-3)
Class: Time and Place TBA
Prerequisite: Admission to the Program or Permission of Instructor Course Description:
This course presents basic concepts and techniques of statistical methods, including: the collection and display of information, data analysis and statistical measures; variation, sampling and sampling distributions; point estimation, confidence intervals and tests of hypotheses for one and two sample problems; principles of one-factor experimental design, one-way analysis of variance and multiple comparisons; correlation and simple linear regression analysis; contingency tables and tests for goodness of fit. SPSS statistical software will be used.
Faculty: Dr. Carl Russell Required
Textbook: Fields, A. (2013). Discovering statistics using IBM SPSS statistics (4th ed.). Los Angeles: Sage.
Course Outcomes:
Upon successful completion of the course, students should be able to:
1. Create appropriate graphs for the display of categorical and continuous data.
2. Calculate, using SPSS, and explain the meaning of descriptive statistics.
3. Calculate, using SPSS, and interpret confidence intervals for population means, proportions, differences between population means (independent and paired) and proportions.
4. Perform, using SPSS, and interpret t-tests and appropriate nonparametric tests for population means, proportions, differences between population means (independent and paired) and proportions.
5. Perform, using SPSS, and interpret chi-tests for goodness of fit, independence and homogeneity.
6. Calculate, using SPSS, and interpret both Pearson and Spearman correlation.
7. Build, interpret and use simple linear regression models using SPSS.
8. Perform, using SPSS, and interpret analysis of variance and post hoc tests.
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Instructional Methods:
Lecture, discussion, problem solving, statistical reasoning, work with statistical software.
Evaluation Methods:
Take-home and in-class tests, statistical project.
Calculator and Software: We will use SPSS statistical software.
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 I 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
Students will work on the final project 2 person teams.
Each group should submit a project report. The project report should include:
1. Motivation of the project 2. Existing approaches
3. Method you chose and the reason, or model you created for the specific problem 4. Experimental studies and conclusions
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Content Outline:1: Graphical displays of data for categorical and continuous data
2: Descriptive statistics a) sample mean
b) sample standard deviation c) sample median
d) sample quartiles e) sample percentiles
3: Confidence intervals (t and nonparametric) a) one population mean
b) paired differences between population means c) difference between two population means
d) one population proportion
e) difference between two population proportions
4: Hypothesis tests (t and nonparametric) a) one population mean
b) paired differences between population means c) difference between two population means
d) one population proportion
e) difference between two population proportions
5: Categorical Data Analysis a) goodness of fit
b) test of independence/homogeneity c) odd ratios
6: Correlation (Pearson and Spearman)
7: Simple Linear Regression a) model building
b) inferences about coefficients c) predictions d)
lack-of-fit
8: One-way ANOVA
a) Completely randomized design b) Pairwise comparisons
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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.
CELLPHONESANDPAGERS
As a courtesy to others, please turn off all cell phones and pagers prior to class beginning. If you are anticipating an emergency call, please put your cell phone on silence and notify your
instructor.
Attach Syllabus
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KENNESAW STATE UNIVERSITY GRADUATE COURSE
PROPOSAL OR REVISION, Cover Sheet (10/02/2002)
Course Number/Program Name: NURS 9102 Statistics II Department: WellStar School of Nursing
Degree Title (if applicable): PhD in nursing Proposed Effected Date: fall 2014
Check one or more of the following and complete the appropriate sections:
_New Course Proposal _ Course Title Change
x_
Course Number Change _ Course Credit Change _ Course Prerequisite Change _ Course Description ChangeSections to be Completed II, III, IV, V, VII
If proposed changes to an existing course are substantial (credit hours, title, and description), a new course with a new number should be proposed.
A new Course Proposal (Sections II, III, IV, V, VII) is required for each new course proposed as part of a new program. Current catalog information (Section I) is required for each existing course incorporated into the program.
Minor changes to a course can use the simplified E-Z Course Change Form.
Submitted by:
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