Psychology 602

Quantitative Methods in Psychology: Experimental Design

 

Spring 2005 Dr. K. L. Norman

Lecture: Tue/Thur 9:30-10:45 CCS 1410

Discussion/Lab: Thur 4:30-6:30 LeFrak Lab 3

Phone 405-5924

FAX 314-9566

kent_norman@lap.umd.edu

 

I. General Information

A. The purpose of this course is to provide the student with a background in statistical theory, an exposure to methods and techniques, and a philosophy of science to guide research. No course in quantitative methods would be complete without these three goals. Lectures, readings, and homework will attempt to bring these goals together in this course. The overriding theme of the course is that research must maintain a humble balance between being data directed and model directed. The source of scientific truth is often insight in the form of a hypothesis. Truth is never proven empirically, but our hypotheses may perhaps gain statistical support. Statistical theory is a complex of models imposing structure on the data set. Although the data is partially determined by paradigm and theories, there remains in our observations a kernel of knowledge to be gleaned from the field of psychology.

B. The course will consist of two modules. The first module is concerned with analysis of variance. It will emphasize the experimental method for controlling variables in order to test hypotheses. The second module is concerned with correlation and regression. This module will concentrate on the analysis of data from correlational studies. Although the intent is to have two more or less discreet modules that can be taken in any order, there will be considerable overlap and a progression of ideas one module to the next.

C. A midterm and a final will be taken. These will be weighted equally (30% each for a total of 60% of the grade). Homework will be assigned. Specific assignments will be collected for grading. These will contribute to the final 25% of the grade. Finally, there will be a group project in which teams will work together to develop an experimental design in a specific context. They will generate virtual data, perform the analysis, and present the results in the form of a poster. This project will contribute 15% to the grade; however, these percentages may vary due to unforeseen circumstances. Moreover, volume may change due to settling of the product during shipping and handling.

II. Course Outline

Syllabus

Syllabus

Psyc 602 Quantitative Methods

DateTopicReadingsAssignments
1/27/2005
Introduction & Overview of Designs
Kirk1
Kirk Ex Ch 1
1/27/2005
(NO Discussion Session 1)
Kirk2
Class Roll
2/1/2005
Theory of Analysis of Variance
Kirk3
Kirk Ex Ch 2 & 3
2/3/2005
Multiple Comparison Tests
Kirk4
Kirk Ex Ch 4
2/3/2005
Discussion Session 2

Discussion 1
2/8/2005
Completely Randomized Designs
Kirk5
Kirk Ex Ch 5
2/10/2005
Randomized Block Designs
Kirk7
Kirk Ex Ch 7
2/10/2005
Discussion Session 3

Team Project
2/15/2005
Factorial Designs (2-way)
Kirk9
Kirk Ex Ch 9
2/17/2005
-- conitnued

Discussion2
2/17/2005
Discussion Session 4


2/22/2005
Latin Square Designs
Kirk8

2/24/2005
Factorial Designs (n-way)
Kirk10
Kirk Ex Ch 8 & 10
2/24/2005
Discussion Session 5


3/1/2005
Hierarchical Designs
Kirk11

3/3/2005
Split-Plot Designs
Kirk12
Discussion 3
3/3/2005
Discussion Session 6


3/8/2005
Confounded Factorial Designs
Kirk13
Kirk Ex Ch 11 & 12
3/10/2005
-- continued


3/10/2005
Discussion Session 7


3/15/2005
Fractional Factorial Designs
Kirk14

3/17/2005
*** Midterm Exam ***


3/17/2005
(no Discussion Session)


3/22/2005
*** Spring Break ***


3/29/2005
Introduction to Correlation and Regression
Cohen1
Discussion 4
3/31/2005
Bivariate Correlation and Regression
Cohen2
Cohen Ex Ch 1 & 2
3/31/2005
Discussion Session 8


4/5/2005
Multiple Regression Analysis
Cohen3

4/7/2005
-- continued

Cohen Ex Ch 3
4/7/2005
Discussion Session 9


4/12/2005
Data Visualization
Cohen4
Discussion 5
4/14/2005
Sets of Independent Variables
Cohen5
Cohen Ex Ch 5
4/14/2005
Discussion Session 10


4/19/2005
Quantitative Scales
Cohen6
Cohen Ex Ch 6
4/21/2005
-- continued


4/21/2005
Discussion Session11


4/26/2005
General Linear Model Approach to ANOVA
Kirk6
Discussion 6
4/28/2005
Categorical Variables
Cohen8
Cohen Ex Ch 8
4/28/2005
Discussion Session 12


5/3/2005
Interactions
Cohen9

5/5/2005
Analysis of Covariance
Kirk15
Kirk Ex Ch 15
5/5/2005
Project Presentations


5/10/2005
Other Correlational Techniques


5/12/2005
-- continued


5/12/2005
Discussion Session 13: Review


5/17/2005
*** Final Exam (8:00 - 10:00 am) ***


III. Textbooks

Cohen, J., Cohen, P., West, S. G., & Aiken, L. S. (2003) Applied Multiple regression/correlation analysis for he behavioral sciences (3nd Ed.) New York: Lawrence Erlbaum Associates.

Kirk, R. E. (1995) Experimental Design: Procedures for the behavioral sciences (3rd Ed.) New York: Brooks/Cole.