PSYC08
Advanced Data Analysis in Psychology
Summer 2013
There are NO Tutorials the first week of class!
Instructor: Dr. Douglas A. Bors
Here is the address where the lectures are on line: https://lecturecast.utsc.utoronto.ca/login.php
Office Hours: Wednesdays 12:30
to 1:30 and after class
Tutorials: TBA
Textbook: Statistcal Methods for Psychology
by David Howell
This course is designed to provide the
student with the advanced principles of data analysis for both parametric and
non-parametric analyses. In terms of parametric statistics, our treatment will
focuson Analysis of Variance (ANOVA). In addition to the material covered in
PSYB07, a working knowledge of elementary algebra is assumed.
Grading: Your final grade in the course
will be based on quizzes and assignments (10%), a mid-term examination (30%), and a final examination
(60%). There will be at least five quizzes or assignments during the term. Your best four performances
will used for the quiz/assignment portion of you grade. The quizzes will be administered
in tutorial without warning, so be prepared! The date for the mid-term will
be posted and announced early in the term. The date for the final examination
will be published by the registrar's office sometime during the term.
Make-Ups
Make-up quizzes are not given. Make-up
mid-terms are never given without a legitimate reason. The student is required to
present a medical certificate, if a test is missed due to illness. The certificate
must state that, in the physician's opinion, you are unable to write the test,
not just that you were examined for a complaint. Do not phone or e-mail your
instructor or TA concerning missed exams. Certificates are to be given to the
invigilator at the time fo the make. Make-up mid-terms will be given at 5:00
pm on the tuesday of the week following the original date of the exam. On the
date of the make-up, the location of the exam will be posted on this page and on the office door
(S-638) of Dr. Bors. If the make-up is also missed for legitimate reasons, a
grade will be assigned on the basis of the student's relative performance on
the final examination and quezzes. Make-ups for final examinations are entirely at the discretion
of the registrar's office.
Dates for Exams will be posted at the top
of this page, once they have been scheduled
Tentative Course Outline
| Week |
Topic |
Chapters |
| 1 |
Review of Descriptive Statistics and
Graphs |
1 through 7 |
| 2 |
Introduction to ANOVA (testing
homogeneity of variance) |
11 |
| 3 |
One-Way between-subject designs |
11 |
| 4 |
Power & Magnitude of
Experimental Effect |
8 & 11 |
| 5 |
Introduction to Multiple Comparisons |
12 |
| 6 |
Introduction to Repeated Measures Designs |
14 |
| 7 |
Multiple comparisons continued |
14 |
| 8 |
Factorial Designs (between-subjects
only) |
13 |
| 9 |
Factorial Designs ( Mixed designs) |
13 |
| 10 |
Inroduction to Multiple Regression |
15 |
| 11 |
Non-Parametric Approaches |
18 |
| 12 |
Integration |
All Covered |
Some Overheads for Classroom
Lectures
Here are the instructions for downloading
and printing the overheads.
Step #1: Click on the link from
the list that corresponds to the overhead you wish to view.
Step #2: A window opens asking
what you wish to do with the file. Choose "open" and then click OK.
Step #3 Under the file tab, choose
the PRINT option. Note that in the window that pops up there is a "PRINT
WHAT?" field. If you choose not to print them as slides (the default),
you might print them as "handouts", which will put several on a sinle
page and still leave you space for writing notes.
F-max Table
Formula Sheets
Basic Concetps Reviewed
Basic Theorems
Stuctural Approach
Anova Assumptions
Anova Example
Homogeneity of Variance
Review Question I
Randomized Block Designs
Review Questions IIa
Repeated measures
Repeated Measures cond.
Review Questions II
Multiple Comparisons
Post-Hoc tests
Power Once again
Power yet again
Review IV
Review V
Factorial Design (two betweeen-subject
IVs)
Fixed versus Random IVs
Factorial Design: Repeated Measures
Polynomial Trends: Weightings (unequal intervals)
Review VI
Review VII
Nonparametic Statistics