EDF 8406 - University of West Florida

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Syllabus
Course Prefix/Number: EDF 8406
Course Title: Educational Statistics III: Multivariate Analysis
Course Credit Hours: 3
Lead Instructor Name and Contact Information:
Dr. Carla J. Thompson
Assistant Professor of Research and Statistics
University of West Florida
College of Professional Studies
Department of Professional and Community Leaders
Office: Building 77 Room 146, Pensacola Campus
Phone: (850) 473-7327
Email: cthompson1@uwf.edu
Prerequisites: EDF7407
Course Description: This course provides the student with the necessary skills required to
conduct educational research at an advanced level. Emphasis is placed on selecting the
appropriate multivariate technique for a particular purpose and given data set, and the
interpretation of statistical output generated from the major statistical packages. Prerequisite:
EDF 7407.
Purpose of the Course:
The Empowered Professional Making a Difference is theme of the Professional Education
Unit conceptual framework. This theme focuses learning experiences on activities that permit the
candidate to examine what he/she does and to take an active role in the instructional process. The
subject matter, class activities, and skill development of this course were selected to assist your
personal growth in one or more of the following Empowered Professional Making a Difference
characteristics: a) critical thinker, b) lifelong learner, c) counselor/mentor, d) decision maker, e)
problem solver, and f) ethical/moral professional.
The State of Florida has responded to national and state initiatives in education reform and
accountability by creating legislative policies relative to the preparation of educators. Florida's
Uniform Core Curricula outline the knowledge, skills, and dispositions that candidates require to
be successful in Florida's educational system.
To monitor your progress in this teacher preparation program, Key Assignments are required.
Key Assignments are specific learning activities that directly relate to the course and program
learning outcomes. A passing grade (70% or higher) is required on each of the student learning
outcomes identified on the assignment in order to receive a grade for the course and advance in
the teacher education program.
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Course Objectives: Upon completion of this course students will be able to:
(a)
(b)
(c)
(d)
(e)
(f)
read and analyze professional research articles for specific advanced applications in statistics;
analyze hypotheses relative to advanced design and statistical procedures;
compare and contrast specific advanced statistical procedures within the social sciences;
organize and analyze large multivariable data sets;
generate output from SPSS procedures for specified advanced statistical applications;
develop skills for identifying and aligning hypotheses with appropriate statistics.
Topics Covered & Tentative Schedule:
Major Topics and Readings: The following topics and readings are listed here and delineated on the
course calendar: (Note - readings are from course text)
I.
II.
III.
IV.
V.
VI.
VII.
VIII.
IX.
X.
XI.
XII.
XIII.
XIV.
Introduction to Multivariate Statistics (Chapters 1-2) & SPSS – Week 1
Large File Descriptive Statistics (Chapter 3A/3B) & SPSS Lab - Week 2
Review of Correlation/Multiple Regression (Chapter 4A/4B) – Week 3
Review of t-test & One way ANOVA (Chapter 8A/8B) – Week 4
Review of MANOVA/ANCOVA (Chapter 9A/9B/10A/10B) – Week 5
Begin Project Analysis (Open Lab) – Week 6
Continue Project Analysis (Open Lab) – Week 7
Discriminant Function Analysis (Chapter 7A/7B) – Week 8
Continue Project Analysis (Open Lab) – Week 9
Continue Project Analysis (Open Lab) – Week 10
Factor Analysis (Chapter 12A/12B/13A/13B) - Week 11
Project Interpretation/Presentation Development (Open Lab) – Week 12
Structural Equation Modeling (Chapter 14A/14B) - Week 13
Project Presentations/Peer Review – Week 14
Texts:
Students will need the following text and materials:
(a) Meyers, L. S., Garnst, G. C., & Guarino, A. J. (2005) Applied Multivariate Research: Design
and Interpretation. Sage Publications. ISBN: 9781412904124
(b) Access to use of SPSS via software acquisition or the UWF Virtual laboratory.
(c) Handouts and materials provided by the instructor.
Suggested:
(d) Campbell, D. and Stanley, J. (1963). Experimental and Quasi-Experimental Designs for
Research. Boston: Houghton Mifflin Co.
(e) Access to Internet and/or UWF library system for article acquisition.
Grading/Evaluation System:
Assignments and Responsibilities: The following list of assignments and responsibilities for students are
presented here and on the course calendar:
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(1) Individual/Team Authentic Learning Project(s)…………………………… 140 points
Each student will complete one individual and one team project (70 pts each)
(2) Team Lab Assignments 8 @ 20 points each ……………………….. …… 160 points
Total
300 points
Grading Scale:
300-285=A 284-271=A- 270 – 260=B+ 259 – 249 =B 248 – 238= B- Below 238= C
(1) Authentic Learning Projects: Projects from the community will be utilized for authentic
research efforts in individual and team environments.
(2) Team Lab Assignments: Eight team lab assignments are provided for specified weeks (see
calendar) for 20 points each. To receive full credit students must submit by the due date with
completed analyses and write ups using SPSS. Teams may submit with all names attached to one
submission.
Team Assignments: (8 @ 20 pts each)
Assign #1: (Chapter 1) Discuss the need for multivariate research design and statistics & complete a
review of SPSS lab activity
Assign#2: (Chapter 2) Select one review topic and discuss with an application/role/merit in research and
statistics.
Assign #3: (Chapter 3A/3B) p. 106: #1 - #5 Data Screening
Assign #4: (Chapter 4A/4B) p. 146: #1 - #6 Correlation/Regression
Assign #5: (Chapter 8A/8B) p. 362: #1 - #5 (t-tests) & #1- #5 (ANOVA)
Assign #6: (Chapter 9A/9B) p. 403: #1 - #6 MANOVA
Assign #7: (Chapter 7A/7B) p. 278: #1 - #7 Discriminant Function Analysis
Assign #8: (Chapter 12A/12B) p. 538: #1- #7 Factor Analysis
References/Bibliography: See suggested readings.
Special Technology Utilized by Students:
Each UWF Student is expected to:




Activate a UWF ArgoNet email account
Access email two to three times weekly
Have basic word processing knowledge
Purchase and activate a TK20 account
Plagiarism Policy: (Word Format) | (PDF Format) | (RTF Format)
Student Handbook: (PDF Format)
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Statement of the University Policy on Academic Conduct: The Student Code of Conduct sets
forth the rules, regulations and expected behavior of students enrolled at the University of West
Florida. Violations of any rules, regulations, or behavioral expectations may result in a charge of
violating the Student Code of Conduct. It is the student’s responsibility to read the Student Code
of Conduct and conduct themselves accordingly. You may access the current Student Code of
Conduct at http://www.uwf.edu/judicialaffairs.
Expectations for Academic Conduct/Plagiarism Policy: Academic Conduct Policy: (Web
Format) | (PDF Format) (RTF Format)
Assistance: Students with special needs who require specific examination-related or other
course-related accommodations should contact the Student Disability Resource Center (SDRC),
sdrc@uwf.edu, 850.474.2387. SDRC will send an email to the instructor that specifies any
recommended accommodations.
UWF TurnItIn notice: UWF maintains a university license agreement for an online text
matching service called TurnItIn. At my discretion I will use the TurnItIn service to determine
the originality of student papers. If I submit your paper to TurnItIn, it will be stored in a
TurnItIn database for as long as the service remains in existence. If you object to this storage of
your paper:
1. You must let me know no later than two weeks after the start of this class.
2. I will utilize other services and techniques to evaluate your work for evidence of
appropriate authorship practices.
Syllabus Notice of Change: Although this syllabus is intended for multiple audiences and
incorporates the minimum course criteria, the content of this syllabus may change based on
individual instructor’s specifications. Any modifications to this syllabus will be announced
during the first week of the semester.
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