Information Package
baskent.edu.tr

Ph.D. on Social Psychology

PSK616

STATISTICS FOR THE BEHAVIORAL SCIENCES

Course Code
PSK616
Semester
Second Term (Spring)
Theory+Practice
3 + 0
ECTS
10
Course TypeCompulsory Course
Course LevelDoctorate Of Science
Year of Study1
SemesterSecond Term (Spring)
ECTS10
Name of Lecturer(s) -
Learning Outcomes

At the end of this course, the students;

  1. Can disucss the basic topics in advanced statistical methods.
  2. Can choose appropriate analyzes based on the research questions they encounter.
  3. Can use statistical package programs for advanced statistical methods.
  4. Can write a report on advanced statistical methods.
  5. Can design research questions suitable for advanced statistical methods.
Mode of DeliveryFace to face
PrerequisitesNo
Recommended Optional Programme ComponentsNone
Course DescriptionThe purpose of this course is to discuss the advanced statistical methods regularly used in behavioral sciences, teach the students to choose the appropriate analysis methods in the face of a research question, correctly implement the statistical analyses, and properly report the results of these analyses. Advanced statistical methods such as structural equation modelling, latent structure analysis, and intergroup invariance analysis are few of the topics that will be covered in the course.
Course Contents
WEEK TOPICS
1st Week Advanced research techniques I
2nd Week Advanced research techniques II
3rd Week Advanced research techniques III
4th Week Structural equation models I
5th Week Structural equation models II
6th Week Structural equation models III
7th Week Applying advanced research techniques I
8th Week Applying advanced research techniques II
9th Week Applying advanced research techniques III
10th Week Applying advanced research techniques IV
11th Week Experiment Application I
12th Week Experiment Application II
13th Week Experiment Application III
14th Week Experiment Application IV
15th Week General Evaluation
Recommended or Required ReadingTabachnick, B. G. & Fidell, L. S. (2011). Multivariate statistics. Boston: Allyn and Bacon.
* The basic materials to be used in this course are updated every year.
Planned Learning Activities and Teaching Methods
  • Lecture
  • Discussion
  • Questions/Answers
  • Practice
  • Other
Assessment Methods and Criteria
Quantity Percentage (%)
Quiz 4 30
Project 1 40
Total(%) 70
Contribution of In-term Studies to Overall Grade(%) 70
Contribution of Final Examination to Overall Grade(%) 30
Total(%) 100
ECTS Allocated Based on Student Workload
Activities Quantity Duration (Hour) Total Workload (Hour)
Midterm exam
Preparation for Quiz 4 2 8
Individual or group work 14 5 70
Preparation for Final exam 1 24 24
Course hours 15 3 45
Preparation for Midterm exam
Laboratory (including preparation)
Final exam 1 2 2
Homework 1 155 155
Total Work Load304
Total Work Load / 30 (h)10.13
ECTS Credit of the Course10
Language of InstructionTurkish
Work Placement(s)No

Programme Qualifications / Learning Outcomes

LO1 LO2 LO3 LO4 LO5
K1
K2
K3 X X
K4 X
K5 X X
K6 X
K7 X X X
K8
K9 X X X
K10 X
K11 X X
K12 X
K13 X X
K14 X
K15 X X
K16
K17