Information Package

Program of Psychology (English)

PSY212

STATISTICS IN BEHAVIORAL SCIENCES II

Course Code
PSY212
Semester
Fourth Term (Spring)
Theory+Practice
3 + 2
ECTS
5
Course TypeCompulsory Course
Course LevelBachelor's Degree
Year of Study2
SemesterFourth Term (Spring)
ECTS5
Name of Lecturer(s)
Learning Outcomes

At the end of this course, the students;

  1. Discuss psychological and social research based on numerical data.
  2. Be able to evaluate statistical results of any given research reports.
  3. Transfer probabilistic thinking skills to various problems.
  4. Be able to apply statistical software programs and able to interpret data descriptively.
  5. Evaluate statistical graphs properly.
Mode of DeliveryFace to face
PrerequisitesYes(PSY211)
Recommended Optional Programme ComponentsPSY211
Course DescriptionThis course is designed to teach students about the procedures of hypothesis testing. Subjects such as t-test, correlation, and analysis of variance are taught to enable students to determine which appropriate analyses are to be followed in order to solve statistical problems. Writing statistical results according to academic writing rules is one of the important topics discussed in the course.
Course Contents
WEEK TOPICS
1st Week Introduction and PSY211 Course Overview
2nd Week Correlation
3rd Week Simple linear regression
4th Week Multiple regression
5th Week Introduction to hypothesis testing: T-test
6th Week T-test
7th Week ANOVA (one-way/between subject)
8th Week Mid-Term Exam
9th Week ANOVA (one-way/within subject)
10th Week ANOVA (two-way/between subject)
11th Week ANOVA (two-way/within subject)
12th Week Reliability ? Validity
13th Week Non-parametric tests: Chi-square
14th Week Questions ? answers
15th Week Overview
Recommended or Required ReadingJamovi, J. N. & Foxcroft, D. R. (2018). Learning statistics with jamovi. Retrieved from
https://blog.jamovi.org/2018/10/25/learning-statistics-with-jamovi.html

Recommended:
Dancey, C. P., & Reidy, J. (2007). Statistics without maths for psychology. Pearson education.
Planned Learning Activities and Teaching Methods
  • Lecture
  • Practice
  • Questions/Answers
  • Other
Assessment Methods and Criteria
Quantity Percentage (%)
Mid-term 1 30
Assignment 6 30
Total(%) 60
Contribution of In-term Studies to Overall Grade(%) 60
Contribution of Final Examination to Overall Grade(%) 40
Total(%) 100
ECTS Allocated Based on Student Workload
Activities Quantity Duration (Hour) Total Workload (Hour)
Midterm exam 1 1 1
Preparation for Quiz
Individual or group work 1 15 15
Preparation for Final exam 1 18 18
Course hours 15 3 45
Preparation for Midterm exam 1 10 10
Laboratory (including preparation)
Final exam 1 1 1
Homework 6 10 60
Total Work Load150
Total Work Load / 30 (h)5
ECTS Credit of the Course5
Language of InstructionEnglish
Work Placement(s)No
LO1 LO2 LO3 LO4 LO5
K1 X X
K2
K3 X X X
K4 X X X
K5 X X X
K6 X X X
K7 X
K8 X
K9 X X
K10
K11
K12 X
K13