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STATISTICAL
METHODS IN BEHAVIORAL
SCIENCE
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Instructor:
Office Phone:Office Address: Office Hours: Email: Home Page: Course Web Page:
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Dr. Jim Larson
1046-C BSB 312-413-2642 T 1:00-2:00p, Th 5:00-6:30p, and by Appointment jlarson@uic.edu http://www.uic.edu/~jlarson/ Course materials will be available via Blackboard |
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Teaching Assistants:
Office Address:Name: Office Phone: Office Hours: Email: Name:
Office Address:Office Phone: Office Hours: Email: |
Mr. Jared Majerle (3:00p & 4:00p Discussion Sections) 1049 BSB 996-3036 (messages only) M & W, 5:00-6:00p, and by Appointment jmajer2@uic.edu Ms. Carrie Reynolds (2:00p Discussion Section) 1049 BSB 996-3036 (messages only) M 2:00-3:00p, and by Appointment creyno5@uic.edu |
This is an introductory course in statistics designed for students majoring in psychology. The goal of the course is to help you develop the conceptual background and practical skills needed (a) to critically evaluate the statistics you will encounter elsewhere in your coursework -- and in everyday life -- and (b) to begin conducting statistical analyses of empirical data on your own (e.g., in lab courses, independent study projects, etc.).
My approach in
teaching this
course is to help you develop an intuitive understanding of the
statistical
methods we will learn. This means going beyond rote
memorization of abstract formulae. It implies developing an
appreciation for what the terms in those formulae stand for, and what
the results of those formulae tell us about the underlying
psychological
phenomenon being investigated. Statistics is an applied branch of
mathematics. As such, the
statistics we will learn are best thought of as a means to an
end, not an end in themselves. For psychologists, statistics are
important tools that help us better understand the causes and
consequences
of human and animal behavior. Thus, as we learn about various
statistical methods and procedures, we will always strive to keep one
eye firmly focused on the research question we are ultimately seeking
to
answer via a statistical analysis of empirical data. By doing so,
I believe that students can acquire a richer, more complete
appreciation for
the meaning of the statistical principles we will be studying together.
The one piece of equipment that you must own for this course is a hand calculator. It is very important that your calculator be able to compute (a) sums and (b) sums of squares. That is, you should be able to enter a series of numbers (e.g., 1, 2, 3, 4 and 5), and then press either one or two other buttons to obtain both the sum of those numbers (15) and the sum of the squares of those numbers (55). These are operations that you will need to perform on every weekly homework assignment as well as on the exams, and it is critical that you be able to perform them quickly and accurately on your calculator. Every calculator can compute sums. But only a few can compute sums of squares in the way just described. If you already own a calculator and do not know whether it can perform the sum-of-squares function, consult your owner's manual (it many not be obvious from looking at the calculator itself). If you do not own a calculator, or you own one that cannot perform this function, I recommend that you consider buying a Texas Instruments TI-30X IIS (solar) or TI-30X IIB (battery). This simple calculator is available in the UIC bookstore for under $20. In the first week of the semester we will learn how to compute sums and sums of squares on the TI-30X IIS. If you own any other calculator, the course TAs and I may or may not be able to show you how to compute these quantities on it -- it depends on the calculator.
The great
20th-century American
philosopher/film-maker, Woody Allen, has been quote as saying that
"eighty percent of success is showing up" (Peters & Waterman,
1982). Nowhere is this more true than in this course. Class
attendance is very important, and can significantly affect your course
grade. My experience in teaching this course over the years is
that students who attend class every day end up with better
grades than those who do not. More than any other class you will
take in Psychology, this one follows a "building-block" model --
concepts presented early in the semester are essential building blocks
that are needed to understand concepts encountered later on, and each
lecture
builds on those that have gone before. Students with poor
attendance records, and those who are chronically late or who regularly
leave early, often miss key concepts presented in their absence.
Later those same students become lost when they need to apply the
missed concepts in
new ways. I do not penalize students for missing class, because
those
who miss class already penalize themselves.
The weekly reading assignments are listed in the following table. They all come from the textbook by Gravetter & Wallnau (2008). A complete reference for the textbook is given below. It is available in the UIC bookstore. Please bring your textbook with you to class and to your discussion section meetings. The textbook contains a number of important tables that we will refer to throughout the semester, especially once we begin studying probability and statistical inference, which starts in Week 7.
| Week # | Date | Reading Assignment | |
| 1 |
T 8/25
Th 8/27 |
Ch
1:
Introduction to Statistics Ch 2: Frequency Distributions << Homework 1 Math Quiz: Friday, 8/28 >> |
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| 2 | T
9/1 Th 9/3 |
Ch 3: Central Tendency Ch 4: Variability |
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| 3 | T
9/8 Th 9/10 |
....continued.... Ch 5: z-Scores: Location of Scores and Standardized Distributions |
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| 4 | T 9/15 |
....continued.... |
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| 4 |
Th
9/17 |
Ch
6: Probability |
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| 5 | T 9/22 Th 9/24 |
....continued....
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| 6 |
T 9/29
Th 10/1
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Ch
7:
Probability
and Samples: The Distribution of Sample Means |
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| 7 | T
10/6 Th 10/8 |
Ch 8:
Introduction to Hypothesis Testing ....continued.... |
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| 8 | T 10/13 Th 10/15 |
Ch
9:
Introduction to the t-Statistic Ch 10: The t-Test for Two Independent Samples |
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| 9 | T 10/20 Th 10/22 |
....continued.... Ch 11: The t-Test for Two Related Samples |
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| 10 |
T 10/27 Th 10/29 |
Ch
13: Introduction to Analysis of Variance
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| 11 |
T 11/3
Th 11/5 |
....continued.... ....continued.... |
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| 12 | T 11/10 Th 11/12 |
Ch
14:
Repeated Measures and Two-Factor Analysis of Variance (ANOVA) |
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| 13 | T 11/17 Th 11/19 |
Ch.
15:
Correlation and Regression ....continued.... |
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| 14 | T 11/24 Th 11/26 |
....continued.... << No Class Thursday, 11/26; Thanksgiving >> |
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| 15 | T 12/1 Th 12/3 |
Ch 16:
The Chi-Square Statistic: Tests
for Goodness of Fit
and Independence
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| Finals Week | F 12/11 |
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You should
anticipate that
each
homework assignment will take from 2 to 4 hours to complete, on
average.
Please keep the following in mind when doing the
homework:
| (1) | Show all of your work! Do not simply report the
final answer for a problem. Show the computations that produced
that answer. If it turns out that your final answer is incorrect,
it may still be possible for you to earn partial credit for the problem
if some parts of it are done correctly. This can happen,
however, only if you have shown all of your work, so that all of the
intermediate steps can be traced. |
| (2) | Neatness counts! If you show all your
work, but it is illegible or is presented in such a disorganized
fashion
that it cannot be followed in a logical, step-by-step sequence, then
again it is difficult to assign partial credit. In the spirit of
neatness,
please adhere to the following rules:
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(3) |
Late homeworks, homeworks that are not done on lined graph paper, and homeworks that are not done neatly, will not be accepted. If you are unable to turn in a homework by the due date, you will receive a 0 for that homework. If you are having trouble with a homework problem, please see either me (Dr. Larson) or your TA so that we can help you get the assignment completed and turned in on time. |
Homework Assignment 1: Assessing Your Math Skills
To do well in this
course it is important that you have a basic understanding of high
school algebra, and that you be able to perform simple algebraic
operations quickly and accurately. I assume that you
mastered these skills at some point in the past, although you may be a
little rusty now. To help you get back up to speed on your math
skills, Homework Assignment 1 is
simply to review Appendix
A (pp. 505-526) in Gravetter & Wallnau (2008), the textbook
for
the course, and then take a brief test
on this material during your discussion section meeting on Friday of
Week 1. The test will consist of 40 simple problems like those in
Appendix A. You will be
given only 20 minutes
for this test, so you must be able to do these
kinds of problems quickly and accurately. A calculator may be
used for this test, but in most cases the problems will be simple
enough that you should be able to do them in your head. Be sure
to complete your review before Friday of Week 1. I strongly
recommend that you begin by taking the "Skill Assessment
Preview Exam" at the beginning of Appendix A (p. 506).
You should be
able to complete it in 30 minutes or less. Any errors that you
make on this exam will help you identify the sections of Appendix A
that
you should pay particular attention to and study especially
carefully. Then take the "Skill Assessment Final Exam" at the end
of Appendix
A (p. 524-525) to make sure that you have corrected any
weaknesses
identified by the Preview Exam.
Three exams will be
given. Each exam will consist of two parts: a true/false
portion, and a computational portion.
The true/false portion is self-explanatory. On the
computational portion you will be asked to use formulae to solve
problems. The
exam
schedule is as follows:
| Exam No. | Date | Weeks Covered | Chapters Covered |
| 1 | 9/24 |
Weeks 1-4 | Ch.
1-5 |
| 2 | 10/29 |
Weeks 5-9 | Ch. 6-11 |
| 3 | 12/11 |
Weeks 10-15 | Ch. 13-16 |
Your grade for the course will be based on your performance on 13 homework assignments and three exams.
Homework Assignments
A total of 15 homework assignments will be made, with each worth a maximum of 20 homework points. However, your 2 lowest scores from Homeworks 2-15 will be dropped (your score from Homework 1 may not be dropped). Thus, you can earn a maximum of 13 x 20 = 260 homework points, and these will count for 40 percent of your overall course grade.
Exams
Three exams will be given that, in combination, will count for 60 percent of your overall course grade. Exam 1, which will be the shortest of the three, will count for 16 percent of your grade. Exam 2 will count for 20 percent. Exam 3, the longest of the three, will count for 24 percent of your course grade.
Grade Computation
The three exams
will each be
scored on a percent-correct basis, and so will each be worth a maximum
of 100 exam percentage points (see table below). The percentage
of points you earn (out of 260) on your best 13 homeworks
will also be
computed
(i.e. dropping
the lowest two scores from Homeworks 2-15). These four
percentages will be multiplied by the grade weights shown in the table
below, and
then added together to create your total grade percentage score.
| Graded Component | Maximum Percentage Points |
Grade Weight |
| Best 13 Homeworks | 100 | .40 |
| Exam 1 |
100 | .16 |
| Exam 2 |
100 | .20 |
| Exam 3 |
100 | .24 |
| Total
Grade Percentage Score |
Letter Grade |
| 90 and Above | A |
| 80 - 89 | B |
| 70 - 79 | C |
| 60 - 69 | D |
| Below 60 | E |
Students with
disabilities who require
accommodation for access and participation in this course should
contact me (Dr. Larson) as soon as possible after the start of the
semester. All such
students must be registered with the Office of Disability Services
(ODS). Please contact ODS at 312-413-2183 (voice) or 312-413-0123
(TTY).
Students may drop
courses without penalty during
the first ten days of the semester (through Friday of Week 2).
From Week 3 through Week 10 students are entitled to a total of 4 "late
drops" during their enrollment in UIC. To "late drop" a course,
students must see an LAS advisor. The LAS Advising Office is
located on the third floor of University Hall. Advisors may be
seen by appointment (996-3366), or during advising walk-in days
(Tuesdays, 8:30a to 11:30a, and 1:00p to 3:30p).