IST105


Course Title Course Code Program Level
Statistical Methods I IST105 Psychology B.A. / B.Sc.

Course Term
(Course Semester)
Teaching and Learning Methods
Credits
Theory Practice Lab Projects/Field Work Seminars/Workshops Other Total Credits ECTS Credits
01
(Fall)
42 110 152 3 6

Teaching Staff Prof. Dr. Selim Hovardaoğlu
Language of Instruction Türkçe (Turkish)
Type Of Course Compulsory
Prerequisites None.
Recommended Optional Programme Component
Course Objectives The goal of the course is to focus on the description of statistics and its role in efficacy of science, the properties of descriptive and inferential statistics, measurement and scales of measurement, statistical data, organization of the data, display of the data through tables and graphics, reporting the data, assessment of correlation between variables and prediction based on correlations
Course Content The content of the course includes descriptive statistics, probability, correlation and regression. Accordingly, the descriptive statistics including frequency distribution, graphic displacement, mode, median, mean, variance, and standart deviation and probability, binomial and normal distributions, techniques of correlation and regression.
Learning Outcomes (LO) Students completed this course are expected to accomplish the followings: 1- Understanding the importance of statistics in efficacy of science 2- Develop an understanding of the statistical concepts presented in scientific journals 3- Understanding the basic concepts of descriptive statistics and evaluation and usage of it. 4- To be able to describe and summarize the qualitative and quantitative data 5- To be able to fill the gap between the conceptual phenomenon and empirical results 6- To be able to collect, represent, summarize, and evaluate data
Mode of Delivery Face to face
Course Outline
Week Topics
1. Week Science and statistics
2. Week Measurement, scales of measurement, data and variables
3. Week Organization of data, frequency distribution, grouping
4. Week Organization of tables and graphics
5. Week Summarizing the frequency distribution; central tendency measurement
6. Week Summarizing the frequency distribution; variance measurement
7. Week Probability; Simple and complex events,
8. Week Binomial and normal distribution
9. Week Normal distribution and Standard scores Binomial and normal distribution
10. Week Correlation; Pearson r, partial correlation, and multiple correlation
11. Week Correlation; Spearman r ve othe correlation techniques
12. Week Regression
13. Week Regression
14. Week Summary and questions
Assessment
  Percentage(%)
Mid-term (%) 30
Quizes (%)
Homeworks/Term papers (%) 10
Practice (%)
Labs (%)
Projects/Field Work (%)
Seminars/Workshops (%)
Final (%) 60
Other (%)
Total(%) 100
Course Book (s) and/or References Büyükoztürk, Ş., Bökeoğlu, Ö.Ç. ve Köklü, N. (2008) Sosyal Bilimler İçin İstatistik. (3 Bsm) Pegem, Ankara. Levin, J. & Fox, J. A. (2003). Elementary Statistics in Social research. (9th Ed.) Pearson, Boston.
Work Placement(s)
The Relationship between Program Qualifications (PQ) and Course Learning Outcomes (LO)

 

PQ1

PQ2

PQ3

PQ4

PQ5

PQ6

PQ7

PQ8

PQ9

PQ10

PQ11

PQ12

PQ13

LO1

3

2

 

 

 

 

 

 

 

 

 

 

 

LO2

3

2

 

 

 

 

 

 

 

 

 

 

 

LO3

3

 

4

 

 

 

 

 

 

 

 

 

 

LO4

 

 

 

 

 

 

3

 

 

3

 

 

 

LO5

 

 

4

 

 

 

3

 

 

 

3

 

 

LO6

 

 

 

 

 

5

4

3

 

4

 

 

 

LO7

 

 

 

 

 

 

3

 

 

 

 

3

4

 

* Contribution Level : 1 Very low    2 Low     3 Medium     4 High      5 Very High