This course is designed to introduce statistical concepts and applications and build a foundation for students to become intelligent consumers of research. This course covers descriptive and inferential statistics including central tendency, dispersion, standard scores, correlation, linear regression, chi- square, hypothesis testing, one-sample tests, independent-samples and dependent-samples t-tests, and an introduction to the one-way analysis of variance.
Note: Although it is the intention of this syllabus to capture necessary aspects of this course, the course instructor reserves the right to amend and/or add necessary information over the course of the semester.
Course Standards and Student Learning Outcomes
At the conclusion of this course the student should be able to:
Describe the role of data analysis and statistics in the research process
Demonstrate an understanding of basic statistical and measurement concepts
Identify the different types of variables used in research and statistics
Recognize, describe, and know when to use different types of statistical tests/analyses
Understand the role of sampling and sample size in research design
Give the meaning of common statistical terms and symbols used in data analysis
Differentiate between descriptive and inferential statistics
Perform calculations related to basic descriptive and inferential statistical analyses
Understand basic SPSS operations for descriptive and inferential statistics
Read and understand basic output from various SPSS analyses
Course Structure and Approach
EPS 525 is a graduate level statistics course, and as such, carries with it an expectation of preparing you to understand and apply statistics at the graduate level. This course is based on the strong belief that student learning is achieved through theory, application, and reflection. The course learning expectations and outcomes will be accomplished through the use of tutorials, overview handouts, problem solving, text readings, homework assignments, working with a calculator, and working with SPSS output.
Successful mastery of the subject matter of statistics does require a strong commitment on the student’s part, text and handout reading (and re-reading), problem-solving, application of the material, and, of course, study time. Statistics is challenging, yet can ultimately be a rewarding subject. The language of statistics is often new; however, an increased exposure will aid in your understanding and success in the class. One’s knowledge of statistics becomes a tool that they can use to interpret the results of research or to do research individually or collectively.
INTRODUCTORY ACTIVITIES (3% AND 7% EACH = 10% OF FINAL GRADE)
1. Getting to Know You
Please check the Introduction forum in the Discussion Board and post your introduction to the forum. You are welcomed to reply to other students' introductions by the due date.
2. Syllabus Quiz
To begin this course, you will need to PASS (with 100%) the Getting Started Syllabus Quiz, which can be found in the Getting Started Folder (click on EPS 525 Class Materials to see folder). You must review this syllabus in its entirety to pass the quiz. You will be given two (2) attempts to pass the syllabus quiz by the due date. After the due date, you will need to visit with the instructor to proceed (i.e., obtain additional attempts). Please note that I do not accept computer problems as a justification for incompletion.
WRITTEN ASSIGNMENT (20% OF FINAL GRADE)
You will read one book chapter (Damned Lies and Statistics) and two interesting news and/or scholarly articles related to the course contents. Then, you will write a reflection paper (800- 1000 words) on what you have read from the readings by answering questions. More information about this assignment, including the scoring rubric will be provided on Bb Learn.
The quality of work produced for each assignment is expected to reflect the student’s best attempt and be of graduate level quality (i.e., APA style). Assignments can only be submitted once. They cannot be redone or resubmitted for credit.
EXAMINATIONS (10% EACH = 40% OF FINAL GRADE)
There will be four exams. Study guidelines for exams will be provided in Bblearn. You will be allowed to take each exam two times (two attempts per exam) and the highest scores will be recorded for your final grade. Exams are graded automatically so that students can see and review their performance. Questions will be true/false, multiple choice, and matching. The exams will be timed and you will have three hours to complete each exam. The exams will save and submit automatically when the time expires. Once started, the exams must be completed in one sitting. Do not leave the exams before clicking Save and Submit. You must take each exam by the due date specified on the calendar portion of the syllabus. Each exam will be available until the due date, and will not be accessible after that point. If you have not taken an exam by the due date, you will receive 0 points for that exam. Please note that I do not accept computer problems as a justification for incompletion.
You are permitted to use your readings while taking the exams; however, it is expected that you will have read as you will not have the time to look up answers to every question. To perform well on the exams, you must complete all readings and make sure that you understand concepts addressed with the readings. While the scheduled exams are not comprehensive per se, the nature of statistics is cumulative, and as such will continue to build on prior information and require students to have a clear understanding of all aspects of the prior materials to be successful. Exam questions are primary applied, that is, they go beyond the rote memorization of definitions. Exams will test concept understanding, relationships between concepts, and the application of statistical procedures. Collaboration with others is not permitted and constitutes cheating.
COMPUTER DATA ANALYSIS ASSIGNMENTS (CDAA: 10% EACH = 20% OF FINAL GRADE)
Each student will complete two computer data analysis assignments that will involve analyzing and interpreting data that are provided by the instructor via the BbLearn Assignments course tool. Instructions for completing the assignments will accompany each assignment. Assignments are to be uploaded into the appropriate BbLearn Assignment course tool. As this is an online course, faxes will not be accepted, nor will email attachments (either internal or external to BbLearn). The quality of work produced for each assignment is expected to reflect the student’s best attempt and be of graduate level quality. Assignments can only be submitted once. They cannot be redone or resubmitted for credit.
Graded assignment will be returned through the Bblearn Assignment course tool as an attached .pdf file. Students will be notified via an Announcement when assignments have been returned and grades are posted to the Grade Book. Students are always encouraged to contact me about any assignment if they have any questions. You must submit each assignment by the due date specified on the calendar portion of the syllabus.
DISCUSSION ASSIGNMENTS (7% AND 3% EACH: 10% OF FINAL GRADE)
The Discussion Board topic will be available on the Bblearn under “Discussion Board.” The topic question is worth a maximum of 10 points, 7 points for your own response (Part 1) and 3 points for replying to another student’s post (Part 2). You must complete Part 1 by its deadline, in a new thread and before participating in Part 2 in order to receive any credit for that topic. If you do not complete Part 1 correctly, in a new thread, and by its due date, you are NOT eligible to earn any points for Part 1 or Part 2.
In order to receive full credit for each part you need to make sure that your post is contributing to the discussion in a substantive manner (i.e., an original planned response or idea that is at least 400-500 words in length for Part 1 & 200-300 words in length for Part 2, and does not simply repeat or agree/disagree with another student’s response). It is also appropriate to explicitly apply concepts from your readings and/or videos in your discussion posts. Read other students’ posts to make sure that your posts are original, and add to the discussion in a meaningful way and are not simply reiterating what someone has already said. Plagiarizing someone else’s post is a form of Academic Dishonesty and will not be tolerated (earning a 0 is the MINIMUM consequence).
Online and Discussion Board Etiquette. Although we will be using a different mode of communication in this class, the same guidelines that govern our behavior in the classroom apply here. Spirited discussion is encouraged, and differing opinions are welcome within the context of respectful interaction. Specifically, judgmental or profane language, name-calling, threats (direct or implied), cyber-shouting (using ALL CAPITAL LETTERS) are prohibited in the discussion boards, in emails, and in any other form of interaction between class participants or with me. Re- read your discussion board posts carefully prior to posting them to avoid any possible misunderstandings. Contact me if you have questions.