Measurement and Data
Analysis in Psychology:
Syllabus, Psychology 124-01
and 124-02, Winter 2003
Neil Lutsky
Olin 111, x4379, e-mail:
NLUTSKY@CARLETON.EDU
Web Home Page:
http://www.acad.carleton.edu/curricular/PSYC/lutsky/Lutsky.html
Course Teaching Assistant: Kathryn Brooks
(BROOKSK@CARLETON.EDU), x5049
Organization and Purposes:
This course is designed to introduce undergraduates to basic
principles and procedures of data collection, organization,
evaluation, and communication in psychology. We will survey
statistics and data analysis in psychology and use standard computer
programs to assist our statistical analyses (and understanding). We
will also review common measurement procedures in the discipline and
criteria that have been developed to gauge the adequacy of those
procedures. Finally, throughout the term, we will address and
practice fundamental skills contributing to successful psychological
research, including topic identification, literature reviewing,
methods development, and report writing.
This course is designed to encourage your appreciation of the
practical and intellectual significance of research and data
analysis. I would argue that it is your responsibility as an educated
professional as well as an educated citizen to develop a working and
critical understanding of basic principles and techniques of
quantitative analysis. Moreover, I would predict, with some
confidence, that you will find data analysis highly intelligible,
smartly (if not beautifully) designed, broadly useful, and
surprisingly enjoyable. This course should also help you overcome any
sense you may have that quantitative analysis is intimidating and
beyond your ability. It isn't. By the end of this term, you should be
willing and able (a) to attend to quantitative material in a journal
article or other presentation and to understand what was done and
what obtained results may or may not mean, and (b) to engage in
quantitative and probabilistic thinking and investigation about
issues in psychology and life when doing so is appropriate.
The path to these goals is not without its demands and
difficulties. There is a great deal of work in this course, and it is
imperative that you keep up with course readings and assignments as
scheduled. I strongly recommend that you complete all reading prior
to the class for which it is assigned. Homework and writing
assignments are due on time in class on the specified days.
Also, all significant shortcomings in the homework you turn in must
be rectified to the satisfaction of the course teaching assistant.
Turning in a homework or writing assignment late or failing to
correct a significant shortcoming on your homework will result in a
penalty to your grade.
The instructor and teaching assistant will be available on a
reasonable basis to provide help with assignments. Of course, you
will be better able to make use of these opportunities for assistance
if you work on assignments prior to the night before they are due. I
will not agree to requests for extensions, so please budget your time
accordingly. As you begin this course, it is also important that
you refamiliarize yourself with Carleton's standards of academic
honesty and abide by them in all of your work. In particular, you
should take great care to avoid representing something in papers,
examinations, or problem sets (homework) as your own work when it is
the work of another.
There are four evaluations contributing to your final grade:
weekly problem sets (30%), course writing
project (30%), a midterm (20%), and a final (20%)). Please
purchase the course text by Aron and Aron (2003), Statistics for
Psychology, 3rd edition, and the Publication Manual of the
American Psychological Association, 5th edition. Your course
writing project evaluation will be based on the following weights:
literature review (30%), peer review (20%), methods (20%), and final
paper (30%).
Course Rules:
A. All work in this class must be submitted on time.
- Homework is due at the beginning of the specified class
(usually on Friday).
- Homework should not be sent through Campus Mail or placed in
my box in Olin.
- The penalty for late papers is -10 points per day late.
Homework handed in after class
has begun will be considered one day late.
B. Significant shortcomings in work in this class must be rectified.
- You must show a course teaching assistant that you understand
how to complete
any homework problem you have missed substantially.
- You must show the course instructor that you understand how to
answer any midterm
examination question you have missed substantially.
- There will be a penalty of -5 points per problem or question
for a failure to rectify a
significant shortcoming in any of your work within a week after
the return of that work.
There are no penalties, however, for failed attempts to rectify
shortcomings within that
week's period.
C. Work in this class must not violate Carleton's plagiarism
standards.
- Carleton's academic honesty policy states: "It is assumed that
a student is the author of
all course work (quizzes, tests, papers, lab work, etc.) that
he/she submits, whether
for a grade or not."
- Do not allow other students to copy or consult your homework,
homework answers,
or homework-related computer results or printouts.
- Do not allow other students to copy or use computer work you
have completed.
- You may help other students in the class understand concepts,
procedures, and problems
and are encouraged to do so, but do not provide your answers to
others, check their work
against your own, or allow your work to be substituted for
others'.
- Do not ask to see someone else's homework, homework answers,
or computer printouts.
- Do not misrepresent others' work as your own.
- Be certain that when you write papers, you give proper credit
for all ideas and wordings
you use. Review the booklet Academic Honesty in the Writing of
Essays and Other Papers
to educate yourself about plagiarism. Remember that plagiarism
often results from
sloppiness in the preparation of a paper or ignorance of
applicable standards. Even in the
absence of an improper intention, you may seriously violate
standards of academic honesty.
Topic Outline and Reading Schedule:
- F 1/3 Course purposes and overview.
- M 1/6 Descriptive statistics and graphics.
Aron & Aron, Statistics for psychology, 1-28.
- W 1/8 Central tendency and variation.
Aron & Aron, Statistics for psychology, 35-63.
- F 1/10 Topic selection for psychological inquiry.
Bem, Writing a review article for Psychological Bulletin,
172-177. {CR}
Homework due.
- M 1/13 Introduction to correlation.
Aron & Aron, Statistics for psychology, 69-101.
- W 1/15 Additional correlation methods.
Tice & Baumeister, Longitudinal study of procrastination,
performance, stress, and health, 454-458. {CR}
- F 1/17 Searching the psychological literature.
Meet with Michael Kirby, Reference Librarian, Library 306.
http://www.library.carleton.edu/reference/coursepages/PSYC/psyc124nl.html
Homework due.
- M 1/20 Writing with purpose, clarity, propriety, and style in
psychology.
Publication manual of the American Psychological
Association, 3-131.
Topic reading assignment
due.
- W 1/22 Introduction to regression.
Aron & Aron, Statistics for psychology, 113-147.
- F 1/24 Advanced regression.
Simonton, Presidential greatness and performance, 306-317.
{CR}
Literature review due.
- M 1/27 The normal distribution and inferential statistics.
Aron & Aron, Statistics for psychology, 157-182.
http://psych.colorado.edu/~mcclella/java/zcalc.html
- W 1/29 Basic probability; The binomial distribution.
Aron & Aron, Statistics for psychology, 187-188.
http://home.clara.net/sisa/
- F 1/31 Writing methods sections.
Publication manual of the American Psychological
Association, 17-20.
Peer reviews due.
Homework due.
- M 2/3 Introduction to hypothesis testing.
Aron & Aron, Statistics for psychology, 189-209.
- W 2/5 Hypothesis tests with means and correlations.
Aron & Aron, Statistics for psychology, 217-243,
109-111.
- F 2/7 Midterm examination.
- M 2/10 Midterm break.
- W 2/12 Introduction to scaling and measurement.
Rosnow & Rosenthal, Self-report methods, 94-118. {CR}
Homework due.
- F 2/14 Methods section peer review.
Methods section due.
- M 2/17 Introduction to t-tests.
Aron & Aron, Statistics for psychology, 299-331.
- W 2/19 Comparing independent group means.
Aron & Aron, Statistics for psychology, 341-366.
- F 2/21 Applied t-tests.
Homework due.
Turner, Self-monitoring and humor production, 163-167.
{CR}
- M 2/24 Standards of measurement.
Rosnow & Rosenthal, Reliability and validity, 121-130.
{CR}
Educational Testing Service, Score interpretation and statistical
information, 10-11, 22-23. {CR}
- W 2/26 Forms of validity.
Rosnow & Rosenthal, Reliability and validity, 130-138.
{CR}
Revised section due.
- F 2/28 Writing results and discussion sections.
Publication manual of the American Psychological
Association, 20-27, 136-201.
Homework due.
- M 3/3 Effect size and meta-analysis.
Aron & Aron, Statistics for psychology, 253-260.
Bushman, Human aggression while under the influence of alcohol and
other drugs, 148-152. {CR}
- W 3/5 Introduction to statistical power.
Aron & Aron, Statistics for psychology, 261-292.
http://www.psychologie.uni-trier.de:8000/projects/gpower.html
- F 3/7 Research paper consultations.
Homework due.
- M 3/10 Course review.
Final papers due.
- Friday 3/14 Final examination, Psychology 124-01
(8:30-11:00AM).
- Sunday 3/16 Final examination, Psychology 124-02
(3:30-6:00PM).
January 8, 2003