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Academic Session:
College:
School:
Department:
Programme:
Course code:
Course Title:
Prerequisite:
Course lecturer(s):
E-mail:
COURSE COMPACT
2013/2014
Semester: Alpha
CDS
School of Human Resource Development
Psychology
Psychology
PSY 216
Statistical Methods in Psychology
Nil
Dr. G. O. Adejumo/Mr. D. O. Igbokwe
[email protected]
A. Course Description
The course requires the students to appreciate the greater need for statistical techniques as they
are required even at higher levels. Topics to be covered include scales of measurement, concept
of hypothesis testing, univerate analysis statistical tools and difference between parametric and
nonparametric statistical tools. Some examples of parametric and nonparametric statistical tools
will be examined.
B. Rationale
This course discusses the concept of hypothesis testing. The application of parametric test for
one sample, independent and dependent samples
C. Course Objectives
By the end of this course, students should be able to;
1. Explain the concepts related to hypothesis testing.
2. Calculate and interpret t-test and correlation coefficients
D. Methods of Course Delivery
Methods of instruction may include, but not limited to the following:
1.
Lecture and accompanying supplements like projector, video compact player
2.
Classroom discussion
E.
1.
2.
3.
4.
5.
6.
Grand Rules
No student will be allowed into class after fifteen (15) minutes of lectures.
Students are expected to maintain proper classroom etiquette.
Eating and/or drinking are not permitted in class.
Assignments and term papers are expected to be submitted at the appropriate time.
Plagiarism and other academic dishonesty will not be tolerated.
Students MUST have a 75% class attendance to qualify for examinations.
F.
Evaluation Plan
The grading process shall consist of:
 Continuous Assessment = 30%
 Semester Examination = 70%
The continuous assessment shall be based on a combination of class tests, quizzes, assignments,
term papers and the Mid-semester examinations.
G.
Course Modules
Module 1 Overview of the course
Week 1 Introduction – review of the last sessions’ work
Module 2 Theoretical Concepts related to hypothesis testing
Week 2-3
One –Tailed versus Two Tailed Tests ,
 The Alpha Error probability
 The Alpha Error Probability
 Power and the Beta Error Probability
 Effect Size
 Total Sample Size
 The Ratioq:=b/a
 The Noncentrality Parameter
 Critical Value
 A Relation among Sample Size

Effect Size and Noncentrality parameters
Module 3 Parametric test
Week 4
One-sample t-test
Week 5
t-test for Dependent samples test.
Week 6
Mid-semester examination
Week 7
t-test for the Significance of the Difference between the Means of Two
Independent Samples
Week 8
Correlation key concepts-deviations, covariance, standardization ,
Correlation ratio, etc)
Types of Correlation and when to use them
Week 9
Pearson's r: / product-moment correlation
Module 4 Introduction to non-parametric test
Week 10-11 Introduction and list of non-parametric tests and when to use them
Non Parametric test for two conditions
A. Wilcoxon test [Related]
B. Mann-Whitney U test [Unrelated]
Week 12-13: Non-Parametric test for three or more conditions
A. Friedman test [Related]
B. Kruskal-Wallis H test [Unrelated]
Week 14
Revision
Week 15
Examinations
H.
Topics for Term Paper, Assignment, Project etc
1. What is hypothesis testing?
2. Identify steps in hypothesis testing
3. Write short notes on the following
a)
b)
c)
d)
e)
I.
One –Tailed versus Two Tailed Tests ,
The Alpha Error probability
The Alpha Error Probability
Power and the Beta Error Probability
Effect Size
Core Value Emphasis
The core values of integrity, responsibility, diligence, possibility mentality and capacity building
were emphasized in this course, as they aim at driving students towards objectivity and hard
work. This course deemphasizes subjectivity and inculcates a sense of possibility in students.
J.
Industry Relevance
The importance of this course is highly visible as regards industries and organizations because
statistics is an integral part of the research procedures in psychology and other endeavours.
K.
Required Texts and Supplies
Dennis, H.& Duncan, C. (2005) Introduction to Statistics in Psychology Pearson Prentice Hall
L.
Recommended Reading
David Moore and George McCabe (2006.) Introduction to the Practice of Statistics 5th edition,
W.H. Freeman
Endorsements
Course Lecturer/Coordinator............................................Signature/Date...................................
HOD..................................................................................Signature/Date..................................
Deputy Dean......................................................................Signature/Date...................................
Dean...................................................................................Signature/Date...................................
Authorised for the web.......................................................Vice Chancellor................................