OFFICIAL COURSE DESCRIPTION: TOP
An introduction to basic
concepts in descriptive and inferential statistics, with emphasis upon
application to psychology. Consideration given to the methods of data
collection, sampling techniques, graphing of data, and the statistical
evaluation of data.
Required of psychology majors.
Prerequisites: PSY101 with a grade of "C" or better and MAT092 or
equivalent, or permission of instructor.
ABSTRACT OF DIVERSITY INFUSION WITHIN
COURSE:TOP
I chose to infuse diversity
into a statistics based course by focusing on the term project (worth
25% of the student's grade). Students were required to analyze data which
contained a diversity related theme (e.g. discrimination law suit, gender
differences in intelligence, etc.) and present a unique summary of that
data to the class using Microsoft Power Point. Students were placed in
groups of four, where each student within the same group had to analyze
the same data. Although each student was required to complete an individual
presentation, they had to collaborate with their group to insure that
each presentation was unique. The entire class was expected to be present
for all student presentations.
COURSE TEXTBOOK:TOP
Introductory Statistics
For The Behavioral Sciences (5th Edition),
by J. Welkowitz, R. Ewen and J. Cohen. - required
Study Guide To Accompany Introductory Statistics For The Behavioral
Sciences (5th Edition) by R. Ewen. - required
Ready, Set, Go! A Student Guide to SPSS (either v10.0 or v11.0) for Windows,
by T. Pavkov and K. Pierce (shrink-wrapped with SPSS CD-ROM). - optional
PRESENTATION
OF DIVERSITY-RELATED MATERIAL:TOP
Before
distributing the term project, I gave two Power Point presentations
to the class. The first one explained the term project requirements
and outlined how it was meant to promote diversity. The second
presentation was an actual sample presentation similar to the one that they
were
being asked to create.
OUTLINE OF CLASS SCHEDULE SHOWING DIVERSITY RELATED
SEGMENTS: TOP
Module
I: Origins and Descriptive Statistics
|
Date
|
Topic
|
Reading
|
Lab
|
Items Due
|
|
1/20/04
|
Introduction
|
Handouts
|
No
Lab
|
Purchase
Books and Materials
|
|
1/22/04
|
Why
Study Statistics; All the Math You Need
|
Ch
# 1 in WE &C
|
Lab
# 1: The CWB
|
N/A
|
|
1/27/04
|
Frequency
Distributions
|
Ch
# 2 in WE &C
|
Lab
# 2: All the Math You Need
|
Cohort
A Presentations
|
|
1/29/04
|
Graphic
Representations
|
Ch
# 2 in WE &C
|
Lab
# 3: Frequency Distributions
|
Cohort
B Presentations
|
|
2/3/04
|
Measures
of Central Tendency
|
Ch
# 4 in WE &C
|
Lab
# 4: Measures of Central Tendency
|
Cohort
C Presentations
|
|
2/5/04
|
Your
Accumulated Knowledge of Statistics
|
Ch
# 1, Ch # 2 & Ch # 4 in WE &C
|
Exam
# 1
|
Exam
# 1
|
Module
II: Variance, Probability and Normal Distributions
|
Date |
Topic |
Reading |
Lab |
Items Due |
|
2/10/04 |
Measures
of Variability |
Ch
# 5 in WE &C |
Lab
# 5: Measures of Variability |
N/A |
|
2/12/04 |
Introduction
to Probability |
Ch
# 8 in WE &C |
Lab
# 6: Simple Probabilities |
Cohort
A Presentations |
|
2/17/04 |
Inferential
Statistics |
Ch
# 8 in WE &C |
Lab
# 7: Using SPSS |
Cohort
B Presentations |
|
2/19/04 |
Normal
Distributions and Z-Scores |
Ch
# 6 in WE &C |
Lab
# 8: Z-Scores |
Cohort
C Presentations |
|
2/24/04 |
Area
Under the Normal Curve |
Ch
# 9 in WE &C |
Lab
# 9: Area Under the Curve |
N/A |
|
2/26/04 |
Your
Accumulated Knowledge of Statistics |
Ch
# 5, Ch # 6, Ch # 8 & Ch # 9 in WE &C |
Exam
# 2 |
Exam
# 2 |
Module
III: Hypothesis Testing
|
Date |
Topic |
Reading |
Lab |
Items Due |
|
3/2/04 |
Hypothesis
Testing |
Ch
# 10 in WE &C |
Lab
# 10: Hypothesis Testing |
N/A |
|
3/4/04 |
Outcomes
and Rejection Points |
Ch
# 10 in WE &C |
Lab
# 11: Possible Outcomes |
Cohort
A Presentations |
|
3/9/04 |
One
Sample Cases: Z-Score Testing |
Ch
# 10 in WE &C |
Lab
# 12: Z-Score Testing |
Cohort
B Presentations |
|
3/11/04 |
One
Sample Cases: t-tests |
Ch
# 10 in WE &C |
Lab
# 13: One Sample t-tests |
Cohort
C Presentations |
|
3/23/04 |
One
vs. Two |
Ch
# 10 in WE &C |
Lab
# 14: SPSS & Excel |
N/A |
|
3/25/04 |
Your
Accumulated Knowledge |
Ch
# 10 in WE &C |
Exam
# 3 |
Exam
# 3 |
Module
IV: Two Sample Testing and Correlations
|
Date |
Topic |
Reading |
Lab |
Items Due |
|
3/30/04 |
Testing
Two Sample Cases (Random) |
Ch
# 11 in WE &C |
Lab
# 15: t-testing, Independent Groups |
Cohort
A Presentations |
|
4/1/04 |
Testing
Two Sample Cases (Matched) |
Ch
# 11 in WE &C |
Lab
# 16: t-testing, Paired Groups |
Cohort
B Presentations |
|
4/6/04 |
Correlated
Samples: The Pearson r |
Ch
# 12 in WE &C |
Lab
# 17: The Pearson r |
Cohort
C Presentations |
|
4/8/04 |
Your
Accumulated Knowledge of Statistics |
Ch
# 11 & CH # 12 in WE &C |
Exam
# 4 |
Exam
# 4 |
Module
V: Comparison Testing, Nominal Data and Wrap Up
|
Date |
Topic |
Reading |
Lab |
Items Due |
|
4/13/04 |
ANOVA |
Ch
# 15 in WE &C |
Lab
# 18: ANOVA |
Cohort
A Presentations |
|
4/15/04 |
Post-Hoc
Testing |
Ch
# 15 in WE &C |
Lab
# 19: The Tukey |
Cohort
B Presentations |
|
4/20/04 & 4/22/04 |
Chi-Square |
Ch
# 17 in WE &C |
Lab
# 20: Chi-Square |
Cohort
C Presentations |
|
4/27/04 |
Wrap
Up & Review |
N/A |
Lab
# 21: Pushing the SPSS Envelope |
N/A |
|
4/29/04 |
Your
Accumulated Knowledge of Statistics |
CH
# 15 & Ch #17 in WE &C |
Exam
# 5 |
Exam
# 5 |
|
5/4/04 |
Student
Presentations |
N/A |
Student
Presentations |
Term
Project |
|
5/6/04 |
Student
Presentations |
N/A |
Student
Presentations |
Term
Project |
Final
Exam Week
|
Date |
Topic |
Reading |
Special Info |
Items Due |
|
5/13/04 |
Student
Presentations and Closure |
N/A |
Sections
1304 & 1316 @ 9:00 AM |
TBA |
SUCCESSES AND DIFFICULTIES
ENCOUNTERED: TOP
Overall,
students enjoyed the experience. Several themes run throughout
their comments. They are as follows.
- They saw how statistics
can be used to support differences (or a lack of differences) between
diverse peoples.
- They enjoyed the opportunity
to work together with others on the same data, giving them a chance
to see the unique styles of each student.
- They increased their
knowledge of what diversity means, i.e. it is not just related
to gender or ethnic group, but to a whole spectrum of differences.
- They were often impressed
with the diversity of the Power Point presentations of their fellow
classmates, many students used sources like the Internet to find
unique clip art and alternative explanations for their data.
- They found the term project
to be different than expected for a statistics class, specifically
related the use of Power Point (many were expecting to write a
paper).
STUDENT
EVALUATION OF COURSE INFUSED WITH DIVERSITY: TOP
RECOMMENDED
RESOURCES:TOP
Other
than the information I have y provided to the Diversity Group,
there are two good items that I have recently discovered. The first
is a diversity music CD entitled "Think Globally". This
CD, part of a series called Work Beats produced by Metacom (www.metacommusic.com),
contains 12 songs from different parts ofhe world designed to
promote thinking outside the box. The other source is a book entitled
Making the Most of College: Students Speak Their Minds, written
by Richard Light of Harvard. Although not specifically about diversity,
Dr. Light provides interesting insights from students relative
to diversity on the college campus.