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 Schedule



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
Spring break
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)