EDRM612
Applied Statistics in Education and Psychology II
A Course Outline
Prepared by
Jerome Thayer
Spring, 2002
School of Education
Andrews University
I. Course Description
This course is planned as a continuation of Applied Statistics in Education and Psychology I (EDRM611). The major aim of the course is to give a working knowledge of the two most commonly used areas of statistics not covered in the beginning course: analysis of variance and multiple regression. At the end of the course, for each procedure, you should be able to understand the basic concepts, run computer programs, interpret output, and prepare written reports.
II. Course prerequisite
You will need to use SPSS to complete the assignments for this course. If you have not learned to use SPSS prior to the beginning of class (preferably in EDRM611), you will need to make arrangements to learn it outside of class. It is essential that you become proficient in SPSS before beginning the first assignment. SPSS is available on computers in the Bell, Nethery, and Chan Shun microlabs and in the Bell Hall ECP departmental lab. If you prefer, you may purchase SPSS from the bookstore at a special rate for graduate students.
III. Course Requirements, Objectives and Evaluation
In connection with the class sessions, assigned readings in the text are noted in the course outline. These passages should be read PRIOR to the class session, whether or not they are understood completely (or even partially). Unless this is done, you will be at a disadvantage in trying to understand the class lecture.
A syllabus contains the class objectives with a short description explaining what is to be learned related to each objective. There will only be one examination, covering all of the objectives of the class. Since the examination will only cover these objectives, it will be important to refer to these objectives while studying for the exam. Material in the textbook or material covered in class not related to the objectives will not be tested. The examination may be retaken one time, using a different form. Your grade will be based on either your score on the last form attempted or the average of the two forms, whichever is higher. The retake must be completed by Thursday of exam week.
There will be six assignments and one final examination. The weight for each is:
1. Analysis of Variance | 10% |
2. ANOVA journal article | 5% |
3. ANOVA research paper | 10% |
4. Multiple Regression | 10% |
5. Multiple Regression journal article | 5% |
6. Multiple Regression research paper | 10% |
7. Final examination | 50% |
IV. Resources
Textbooks
Howell, D. C. Statistical Methods for Psychology, 4th Edition, 1997.
Green, S. B., et. al., Using SPSS for Windows, 2nd Edition, 2000.
Computer exercises
A floppy disk is available with practice multiple choice items keyed to the course objectives with feedback. These items will parallel very closely the actual items used on the final examination in the course.
Class | Date | Topic | Journals | Printouts | Objectives | Text Sections | Assignments
Due* | ||
Content | Computer | Howell (Chapters) | Green
(Lessons) |
||||||
1 | T Jan 8 | Introduction | 1-3 | ||||||
2 | Th Jan 10 | One-way ANOVA | 2, 3, 4, 8 | 1 | 4-11 | 11 | 24 | ||
3 | T Jan 15 | SPSS | 12-15 | 15 | |||||
4 | Th Jan 17 | Multiple Comparisons | 16-20 | 20 | 12 | ||||
5 | T Jan 22 | Review | |||||||
6 | Th Jan 24 | Factorial ANOVA | 6 | 2 | 21-27 | 13 | 25 | ||
7 | T Jan 29 | SPSS | 3 | 28-31 | 28 | ||||
8 | Th Jan 31 | Simple Main Effects | 4 | 32 | |||||
9 | T Feb 5 | Repeated Measures | 2, 5 | 33 | 14 | ||||
10 | Th Feb 7 | Review | |||||||
11 | T Feb 12 | Simple Correlation/Regression
Correlation |
4, 6, 7, 9 | 5 | 34-43 | 9 | 30 | 1-Part A | |
12 | Th Feb 14 | Regression | 6 | 44-51 | 47, 51 | 32 | |||
13 | T Feb 19 | 7 | 52-59 | 58 | |||||
14 | Th Feb 21 | Standard Error of Estimate | 60-65 | ||||||
15 | T Feb 26 | Multiple Regression | 4, 8 | 8 | 66-75 | 110a | 15 | 33 | 2, 3 |
16 | Th Feb 28 | SPSS | 9 | 76-88 | |||||
17 | T Mar 5 | Partial/semi-partial correlation | 3 | 10 | 89-95 | 31 | |||
18 | Th Mar 7 | Review | |||||||
19 | T Mar 12 | Hierarchical Regression | 10 | 11 | 96-101 | ||||
20 | Th Mar 14 | SPSS | 102-105 | 103, 110b | |||||
T Mar 19 | |||||||||
Th Mar 21 | |||||||||
21 | T Mar 26 | Stepwise Regression | 4, 8, 9 | 12 | 106-107 | ||||
22 | Th Mar 28 | 108-113 | 110c, 110d | ||||||
T Apr 2 | No Class - AERA | ||||||||
Th Apr 4 | No Class - AERA | ||||||||
23 | T Apr 9 | 114 | |||||||
24 | Th Apr 11 | Review | |||||||
25 | T Apr 16 | General Linear Model
Dummy Variables |
13 | 115-116 | 116 | 16 | 26 | 4 | |
26 | Th Apr 18 | Analysis of Covariance | 1, 3, 7 | 14 | 117-123 | 118 | |||
27 | T Apr 23 | 5 | |||||||
28 | Th Apr 25 | Review | 124 | ||||||
29 | S Apr 28 | Final Exam Form A (5:15-7:15) | 6, 1-Part B | ||||||
Arranged | Final Exam Form B (optional) |