Psychology
3214 Quantitative Methods Fall 2002

Section
3/4: 10:30 to 11:45 TTH EN 514

Instructor:
Dr. Melanie Page

Office:
408 NM; Phone:
744-7334

Office
Hours: T 12:15 to 1:45 or by appointment (no appts on Fridays).

Email:
melanis@okstate.edu

Teaching
Assistant Nicole Felts

Office: 305 NM; email nicolefelts@ou.edu

Office Hours: 3-5 T in 015 NM (the computer lab)

“If things go wrong, don’t go with them”

Roger Babson

If
you are having problems in this class, please see one of us immediately. To do
well in this course, you must understand the basics in the beginning, so if you
have a question, please ask. The only dumb question is the one you don’t ask
and then get wrong on an exam.

__Philosophy__: Statistics does not have
to be your worst class and you don’t need to be a math genius to do well. This
class will emphasize the nuts and bolts of how and why we do statistics, with
particular emphasis on research in psychology. The course consists of lecture,
handouts, homework and tests, in-class group work, and a computer lab. I try
and make this class fun and interesting (or at least not painful), but remember
you are ultimately responsible for how you do in this class.

The
following pertains to the lecture section of the class. There will be a
separate syllabus for the computer lab.

__Attendance__: I take roll each day.
Absences in this class can be devastating to progress. There is no penalty per se for missing
class, but you are responsible for all assignments and announcements.
Historically students who do poorly in this class have poor attendance records,
so if you want to do well attend class and keep up with the assignments.

__Classroom
ethics__:
Cheating is unacceptable and if you cheat you will receive the negative of the
amount of points that assignment was worth. For example, if you are cheating on
a test, you will get a -100% for that test. A report will also be filed with
University Officials. You may work with others on homework, but ultimately the
work you turn in must be your own.

Disruptive and rude behavior is
unacceptable and will not be tolerated.

Any student who needs special
accommodations must see me after the first class period to make proper
arrangements.

**I
will not take any actions to withdraw you from this class**. If you need to
withdraw you will need to pursue those options. I suggest talking to me before
withdrawing to see if there are any other options.

__Calculator__: You should have a simple
calculator the can take square roots. You should bring your calculator to
class.

__Text__: There is no specific text
for this class. Rather there are extensive handouts that were written by Dr.
Leona Aiken at Arizona State University, that are available at the Cowboy Copy
Center in the Student Union.

This
is not an optional study guide, it is the text you need for the course.

Class
set-up: You will be assigned to groups during the first week. When we do group
work, we will mainly use these groups. One of the things we are going to do to
make the numbers we work with more meaningful is to collect our own data. Each
group will come up with a survey topic and 10-15 questions and we will
administer these around campus. You will work on the surveys in class and in
lab.

__Tests__: There are five
non-cumulative tests. You must take all tests. Makeups are given only in
documented emergencies and must be approved by instructor prior to your missing
the exam. There will be computer printout on the exams, so I suggest you take
really good notes in lab. The first three tests will be worth approximately 50
points; the last two are worth 25 points each. You may bring an 8.5 by 11
“cheat sheet” to exams 2 - 5.

__Homework__: There are 14 problem sets.
Problem sets will be graded on a 5-point scale (5 = excellent, 4 = very good, 3
= good, 2 = fair, and 1 = poor). Homework will consist of hand worked and
computer worked problems. The problem sets are directly tied to the lecture and
lab and follow examples in the handouts. The problem sets are designed to help
you keep up with the class and prepare for tests. The class material is
cumulative. If you fall behind at some point, recovery will be difficult.
Please keep up with the class. There are 70 possible homework points.

The
rules for the grading of problem sets are as follows:

1.
Problem sets must be turned in at the beginning of class on the due date to
receive credit. NO EXCEPTIONS.

2.
If you turn in a PS after the due date but before the PS is returned to class
you will get a zero.

3. **If
you fail to turn in a PS, you will receive a grade of -2**. For any problem
sets in which the solution is handed out in class, if you did not turn it in at
the beginning of class, you will receive a -2 on it.

Your
problem sets must be neatly written, with the questions in the set done in
order and clearly numbered. Staple your problem sets. Do not use the ragged
paper torn out of notebooks. If a problem set is illegible, it will be returned
to you ungraded, and for zero points credit.

__Projects__: There will be 3 lab
projects worth a total of 75 points.

__ __

__Bonus
Points__: You
can receive up to 5 extra credit points for research participation. You can
either participate in experiments or attend colloquiums announced in class.

__Final
Grade__: Your
final grade for the course will be based upon the total number of points you
receive. There are 340 possible points, if you get 91-100% of the points you
get an A; B, 80-90%; C, 70-79%: D, 60-69%: F, 59%

or
less. Note that the grading scale for an A is slightly tougher than most classes,
but this is a junior level class and your work in here should reflect that.
Also note, for final grades, I will follow the rules of rounding and will only
round up if your decimal is .5 or above, so a 90.3% would be a B. There are no
exceptions because you have ample opportunity to get enough extra credit to
push yourself into the .5 range.

The
syllabus is my best guess at what we will cover and what our pace will be. As
such, it is subject to revision. Any changes in due dates or test dates
announced in class supersede those in the syllabus.

Class Outline

8/20
to 9/5

Introduction

Terms, Mathematical Concepts

Frequency Distributions

Central Tendency

Variability

Normal Distributions

9/17 Review for test 1 (Note that the material
for test 1 ends 9/5. The test is delayed by a week because of 9/11)

9/19
TEST 1

9/10
to 10/3 (10/8 No class, fall break)

Point Estimation/Confidence
Intervals

Hypothesis Testing

Power and effect sizes

1 sample t-tests

2 sample nonrepeated measures tests

Repeated measures, matched pairs
designs

10/10 Review for test 2

10/15
TEST 2

10/17
to 11/7

1 factor between subjects ANOVA

2 factor between subjects ANOVA

1 factor within subjects ANOVA

11/12 Review test 3

11/14
TEST 3

11/19
to 12/3 (11/28 no class for Turkey Day)

Correlation

Regression

Chi-square

12/5 Review for final exam

12/10 FINAL, 10-11:50