Syllabus
“PSY 104 Quantitative Methods in Psychology II”
2010-2011 Spring Semester
Instructor
: Assoc. Prof. Hakan ÇETİNKAYA
Office
: Main Block, Faculty of Arts and Sciences, Room 426
Office hours
: Mondays 08:30-10:30, or by appointment
Phone
: +90 232 488 8195
e-mail
: hakan.cetinkaya@ieu.edu.tr
THE GOAL
This course is intended to cover most of the statistics that students need in a first-degree course in
psychology and well beyond.
After taking this course students will be able to…
…explain the role of statistical analysis and research in psychology,
…understand basic statistical techniques (conceptually and numerically),
…correctly apply statistical techniques to psychological data,
…correctly interpret results of analyses of psychological data,
…compute and interpret descriptive statistics,
…compute and interpret correlation and regression analyses,
…develop and test statistical hypotheses,
…clearly convey orally and in writing the details of statistical analyses and results,
…input data using SPSS,
…compute each statistical tests using SPSS,
…critically evaluate scientific research and realworld examples such as those one might
encounter from the media or at a social gathering.
ACTIVITIES
Several interrelated activities and exercises will be required, all aimed at helping you
grasp the materials being studied in this course. Obviously, this process begins with a
careful reading of the chapter currently being covered. In some cases it may also require that you
go back and review materials from an earlier chapter.
We will have four class hours a week. The course activities are three parts: Two hours theoretical
discussion (instructor is the main actor), one hour SPSS aided statistic session (a lab
assistant plays role), and one hour class review (tests, quizzes, mini experiments, etc.).
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RULES
The course has been designed being an antecedent of ““Research Methods in Psychology”
classes, and it deals with basic statistical approaches to the study of behavior. Therefore, it is
of the utmost importance to progress in your psychological endeavor smoothly and
successively.
Be aware of the fact that you will be held responsible for your success or failure, and in this class
there is no way to get succeeded just by studying a night before the exam. I recommend you
to plan your class and research activities meticulously, and execute your plans on time.
GRADING METHOD
Your performance will be evaluated by the instructor and the lab assistant together. Your final
grade will be determined by calculating the weighted scores that you will obtain from one midterm exam, one final exam, quizzes, research assignments as follows:
1. Two mid-term exams 35%
2. Final Exam 35%
3. Quizzes, Homeworks, and other class activities 30%
ACADEMIC DISHONESTY POLICY AND PROCEDURES
Academic dishonesty is the giving, taking, or presenting of information or material by a student with
the intent of unethically or fraudulently aiding oneself or another on any work which is to be
considered in the determination of a grade or the completion of academic requirements.
Please refer to the IUE student handbook for details.
REFERENCES
Books
Howitt, D. & Cramer, D. (2008). Introduction to Statistics in Psychology (4th Ed.). NYC, NY:
Prentice Hall.
Howitt, D. & Cramer, D. (2008). Introduction to SPSS in Psychology (4th Ed.). NYC, NY: Prentice
Hall.
E-sources
www.pearsoned.co.uk/howitt
http://www.psychology.org/links/Resources/Statistics/
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PSY 103 QUANTITATIVE METHODS IN PSYCHOLOGY
WEEKLY SCHEDULE
Week
Date
Topic
Readings
1st
27.09.2010
An overview, syllabus, types of
data, describing variables
Howitt & Cramer Ch 1-3
2nd
04.10.2010
3rd
11.10.2010
4th
18.10.2010
Correlation and Regression,
computer analysis
Howitt & Cramer Ch 8
5th
25.10.2010
Midterm Exam I
Howitt & Cramer Ch 1-8
6th
01.11.2010
7th
08.11.2010
8th
15.11.2010
9th
22.11.2010
10th
29.11.2010
11th
06.12.2010
12th
13.12.2010
Midterm Exam II
Howitt & Cramer Ch 8-14
13th
20.12.2010
Probability, Reporting
significance levels succinctly,
computer analysis
Howitt & Cramer Ch 15-16
14th
27.12.2010
One-tailed vs. two-tailed
significance testing
Howitt & Cramer Ch 17
15th
03.01.2011
Ranking tests: Nonparametric
statistics, computer analysis
Howitt & Cramer Ch 18
16th
10.01.2011
Ranking tests: Nonparametric
statistics, computer analysis
Howitt & Cramer Ch 18
Shapes of distributions,
standard deviation and zscores, computer analysis
Relationship between two or
more variables, computer
analysis
Samples and Populations:
Generalising and inferring,
computer analysis
Statistical significance for the
correlation coefficient, computer
analysis
Holiday
Standard Error: The standard
deviation of the means of
samples, computer analysis
The t-test: For correlated and
unrelated samples, computer
analysis
Chi-square: Differences
between samples of frequency
data, computer analysis
Howitt & Cramer Ch 4-5
Howitt & Cramer Ch 6-7
Howitt & Cramer Ch 9
Howitt & Cramer Ch 10
Howitt & Cramer Ch 1-10
Howitt & Cramer Ch 11
Howitt & Cramer Ch 12-13
Howitt & Cramer Ch 14
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