(PSY 766) GRADUATE STATISTICS |
syllabus assignments grades SPSS Primer |
REQUIRED
RESERVE:
|
EXPECTATIONS |
|
Content |
This course is designed to acquaint students with the interpretation of basic inferential and multivariate statistics. |
Materials |
The course consists of reading, lectures, demonstrations, written assignments, and discussion. It is your responsibility to keep current on these materials. |
Attendance |
I do not take attendance in graduate classes. If you miss a class I assume that you will learn the material. |
Assignments |
There will be numerous homework assignments. These will be graded; it is expected that they be turned in on the day due. I will relent only in cases of extreme hardship such as plague, pestilence, famine, or other university approved excuse. |
Honesty |
Cases of cheating or plagiarism will result in no credit (0) for the assignment or test and an overall failing grade for the course. |
Participation |
Frequent participation in class discussions will assure me that your are awake, alert, involved, and are familiar with the material. I will take participation into account when grading borderline cases. |
Quizzes |
There will be frequent quizzes. The topics and relevant reading are shown in the syllabus. In computing your overall grade I will drop your lowest quiz score. The quizzes will be based on materials in the study guide, lecture notes, and the assigned readings. |
Make Ups |
Your first missed quiz will count as your lowest grade and will be dropped. You may make-up any subsequent test, quiz, homework assignment, or paper, but you will loose one point per day for makeups unless you have a University-approved excuse justifying the delay. Make-ups must be completed the week you return to class. |
Final Exam |
There is NO FINAL EXAMINATION in this course. A FINAL QUIZ will be given the last day of class. |
Grade Scale |
Grades will be calculated on the following scale:A 90% and above B 80 - 89% F less than 80% |
Office Hours |
Hours I will be available to discuss the course, the weather, or any topic of mutual interest at the hours posted above. If these are not convenient, please see me to make an appointment at another time. |
Extra Credit |
None |
Special Needs |
If you have special learning needs, please let me know. Students requiring special considerations should get in touch with the Office of Services for Students with Disabilities. This office will notify me in writing of the accommodations you need in compliance with 504/ADA. If you have special learning needs, please let me know. |
TOPIC | ASSIGNMENT |
Introduction
|
|
What statistics
is.pdf
|
Gravetter &
Wallnau, Chapter 1 Mertler & Vannatta Chapter 1 Kachigan, Chapter 1, pps 1-21
|
Descriptive
Statistics
|
Gravetter &
Wallnau, Chapter 2-4
Kachigan, Chapter 1, pps 21-53 QUIZ #1
|
Gravetter & Wallnau, Chapters 5
& 6
QUIZ #2 |
|
Introduction
to Inferential Statistics.pdf
|
Gravetter & Wallnau, Chapter 7
& 8
Kachigan, Chapter. 2 QUIZ #3 |
|
Gravetter &
Wallnau, Chapter 9-11
Kachigan, Chapter 1 QUIZ #4 QUIZ #5 |
Analysis of
Variance (ANOVA).pdf
|
Gravetter & Wallnau, Chapter
13-15 Mertler & Vannatta , Chapter 4 Kachigan, Chapter 5 |
Analysis of
Covariance (ANCOVA).pdf
|
Mertler &
Vannatta , Chapter 5
QUIZ #6 |
Multivariate
Analysis of Means (MANOVA).pdf
|
Mertler &
Vannatta , Chapter 6
Kachigan, Chapter 6 QUIZ
#7 |
Correlation and
Regression.pdf
|
Gravetter & Wallnau, Chapter. 16
Kachigan, Chapter 3 pps 117-142 |
Multivariate
Correlation.pdf
|
Mertler &
Vannatta , Chapter 7
Kachigan, Chapter 3 pps
142-155 & 4 QUIZ #8 |
Factor Analysis.pdf
|
Mertler & Vannatta , Chapter 9 Kachigan, Chapter 7 Grimm & Yarnold, Chapter 4 QUIZ #9 |
Non-Parametric
Statistics.pdf
|
Gravetter & Wallnau, Chapter 16,
pps 545-555, Chapter 17
QUIZ #10 |