CRN 14351, 4 credits
Syllabus: Applied Data Analysis
Psy
412/512, Fall 2003, TuTh, 10:0011:20 A.M., Lab Fr 9:009:50, 180
Straub
Professor 
Office 
Email 
Phone 
Office Hours 
Dr. Holly Arrow

357 Straub 
harrow@darkwing. uoregon.edu 
3461996 
Tues
11:3012:30 Wed
10:3011:30 
Chuck Tate 
356 Straub 
3461060 
Mon
24 PM 
Class Blackboard site: http://blackboard.uoregon.edu/
_______________________________________________________________________
Course Goals:
1. Improve your ability to
identify patterns in data, relate these patterns to substantive issues about
the topic under investigation, and communicate your results and your
interpretation in writing. 2. Sharpen your
quantitative and analytical reasoning skills.
By the end of the course you
should be able to
Course
Description: This
course focuses on the concepts and methods of descriptive and inferential
statistics at an intermediate level.
Topics include ANOVA & ANCOVA, linear and multiple regression, nonparametric
methods for ordinal data, and categorical data analysis, including chisquare,
loglinear models, and logistic regression. By the end of the course, you will have some
understanding of each of these methods.
Your understanding will vary across topics, and that is fine. Statistical training is a lifelong process. I will treat you as colleagues in training,
and see my role as guide, coach, and fellow traveler.
Writing Skills: Homework includes writing up results and interpreting
them for the reader. Strunk &
White’s The Elements of Style can help you write concise, precise
sentences. Review the eight elementary
rules of usage and the ten elementary principles of composition at http://www.columbia.edu/acis/bartleby/strunk/index.html
Learning Disabilities: Contact
me right away (first week of class) if you have been diagnosed with a learning disability (confirmed
by the Academic Learning Center) or have some other special needs that may
require adjustments.
Class Requirements and Activities:
1.
Required Readings. Everitt, Brian S. (2001). Statistics
for Psychologists: An Intermediate Course & Gardner, Robert C.
(2001). Psychological Statistics Using SPSS for Windows. See last page for readings assignments.
2. Participation.
Attendance and participation during class and lab are required. Bring a
calculator to class, since this is more convenient than the computer for some
calculations. A simple calculator is
fine; if you have a fancier one, make sure you know how to use it J
3. Written responses to readings. Every Tuesday, you will prepare a short *typed*
response to the assigned Everitt chapter. Bring two copies, one to hand in, one to refer
to during class. Your response will have two parts. First, identify what you see as
the three most important points in the chapter, and write a sentence explaining
each point to the best of your ability.
Second, identify three issues or points that you find confusing or hard
to understand. Write a sentence for
each, explaining what you find problematic. I will call upon students to share
and explain one or more of their main points in class. Late responses earn half credit.
4. Homework. Homework
will consist of conceptual questions and problem sets. To earn full credit, show and explain all
work, and annotate your computer printouts. Summarize the output of your analyses in a *typed*
“results” paragraph and discuss what
they mean in a *typed* “discussion”
paragraph, following APA guidelines as given in the 5^{th} edition of
the Publication Manual. This will develop your skill in presenting
and explaining analyses. Crunching
numbers is of limited use if you can’t present and interpret your results
clearly. Late homework earns half credit; quarter credit if more than
one week overdue,*unless other arrangements are made in advance with
Chuck. Missed points on
homework may be challenged *only* for homework turned in on time. Challenges due
within a week of when corrected homework is returned.
5. Quizzes.
We will have short quizzes every Thursday on the
chapter for that week. Quizzes are a
learning tool that provide you with feedback about what you do and do not yet
understand. There will also be
occasional “pop” quizzes about material covered in previous weeks. Pop quizzes will focus on material that
people did poorly on in regular quizzes, so study up on any questions you
missed! Class will determine grading
scheme.
6. Final. The takehome final will
include conceptual questions, “generate a plan” questions that ask you how you
would analyze a data set, plus the actual statistical analysis and interpretation
of one or more data sets (following format established by the homework). Due Wed Dec. 10^{th}, by 10 AM. Turn in at my office, 357 Straub.
Class point breakdown for grades (300 points possible)
Attendance & participation 20
pts (full participation = full points)
Responses to readings: 40 pts (8 satisfactory responses, turned in on time)
Homework sets: 80 pts (best 8 out of 9, all 9 must be turned in)
Quizzes: 60
pts (7 chapter quizzes, 3 “pop” quizzes)
Final exam: 100
pts
Course grades based on percentage of points
earned 

A+ 
97100 
C 
7376.9 
A 
9396.9 
C 
7072.9 
A 
9092.9 
D+ 
6769.9 
B+ 
8789.9 
D 
6366.9 
B 
8386.9 
D 
6062.9 
B 
8082.9 
N 
< 70 
C+ 
7779.9 
P 
70 
Cheating, if
detected, will earn a failing grade
in the course. Cheating = turning in the
work of others as your own, copying other people’s quiz answers, or copying
from someone else’s final exam. For the final, providing or asking for help
from other students in the class =
cheating. See below for legitimate input
on the final.
What
is NOT cheating, but helpful collaborative learning? Getting or providing help on
the homework. Meeting to compare notes on homework (in
person or on Blackboard) can help everyone do well. However, don’t just copy what someone else
has done—complete the homework yourself.
For the final: It’s fine to
have someone outside the class read a
draft of your final to see if it is clearly written. When writing academic
papers, scholars should get feedback from colleagues before submitting the
final product to a journal J
Class
Etiquette & Norms
Please come to class and lab on time, and stay
for the whole class or lab
If you must miss a class or leave early, let me
or Chuck know
Treat your fellow students and your professor with
respect
Turn your cell phone OFF during class unless you
are a doctor on call
Ask questions and speak up during class
Ask questions on Blackboard site
Stop
by and see me and Chuck during office hours
Homework Assignments:
Homework #1:
Do problems 2.2 & 2.5 in Everitt (pp. 59, 62). For each problem, type up a results paragraph (describing what you did) and a
discussion paragraph (explaining what it means for the research topic). Follow APA Publication Manual, 5^{th}
edition, for the format of reporting statistical tests. Also include your graphics, of course!
Other Homework assignments will be given
separately.
SCHEDULE 
Reading in Everitt, Statistics
for Psychologists Read by TUESDAY 
Reading in Gardner, Psychological
Statistics Using SPSS Review by THURSDAY 
Assignments & Activities:
Responses, Homework sets, quizzes 
Week 1 Sept 30, Oct 2,3 
Chs 1 & 2 Intro & Graphical
Methods 
Ch. 1 & 2 (skim as a refresher for basics, ttest) 
Tues: Diagnostic Test Thursday: Response to Ch. 2

Week 2 Oct 7, 9, 10 
Ch 3 ANOVA Oneway 
Ch. 3 Single Factor ANOVA 
Tues: Homework #1, Response to Ch. 3 Thurs: Quiz #1 
Week 3 Oct 14, 16, 17 
Ch 4 ANOVA Factorial 
Ch 4 Randomized Factorial 
Tues: Homework #2, Response to Ch. 4 Thurs: Quiz #2 
Week 4 Oct 21, 23, 24 
Ch 5 Repeated Measures
ANOVA 
Chs 5 & 6
Repeated & SplitPlot GLM 
Tues: Homework #3, Response to Ch. 5 Thurs: Quiz #3 
Week 5 Oct 28, 30, 31 
Ch 6 Regression 
Chs 9 Multiple
Regression 
Tues: Homework #4, Response to Ch. 6 Thurs: Quiz #4 
Week 6 Nov 4, 6, 7 
Ch 7 Longitudinal Data 
NA 
Tues: Homework #5, Response to Ch. 7 Thurs: Quiz #5 
Week 7 Nov 11, 13, 14 
Ch 8 DistributionFree
Methods 
NA 
Tues: Homework #6, Response to Ch. 8 Thurs: Quiz #6 
Week 8 Nov 18, 20, 21 
Ch 9 Categorical
Data I: ChiSquare 
Ch 7 ChiSquare 
Tues: Homework #7, Response to Ch. 9 Thurs: Quiz #7 
Week 9 Nov 25 only 
Ch 10
Categorical Data II: Loglinear, Logistic regression 
None 
Tues: Homework #8, Response to Ch. 10 
Week 10 Dec 2, 4, 5 
Ch 10 cont. & Review 
None 
Fri Dec 5, by 3 PM: Homework #9 
Finals Week: Take Home Final Exam: Due by 10 AM, Wed Dec 10. Bring to 357 Straub. 