İST210


Course Title Course Code Program Level
Statistical Packages Programme for Social Sciences İST210 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
04
(Spring)
21 21 73 10 125 3 5

Teaching Staff Dr. Öğretim Üyesi Aslıhan ALHAN
Language of Instruction Türkçe (Turkish)
Type Of Course Compulsory
Prerequisites None.
Recommended Optional Programme Component
Course Objectives To be informed about statistical software. Use of statistical computer packages and interpretation of statistical results is aimed
Course Content Provide students gain the ability to do data analysis by using SPSS package.
Learning Outcomes (LO) To provide the students with adequate familiarity with statistics package programs such that they will be able to 1-Enter data in the statistical package program and transfer data between package programs 2-analyze parametric test assumptions 3-Select the appropriate test to analyze the related package 4-Interpret the resulting output from the program package
Mode of Delivery Face to face
Course Outline
Week Topics
1. Week Introduction, basic concepts of statistics, measurement levels of variables
2. Week Designing a study
3. Week Creating a data file: Getting to know IBM SPSS, entering data, organized variables, preparing a codebook, sample selection
4. Week Creation of Frequency Tables of Quantitative and Qualitative Data
5. Week Graph Drawing and creating cross tables
6. Week Explore the data (analysis of normality), manuplating the data and choosing the right statistics
7. Week Statistical techniques to explore relationships among variables: Correlation
8. Week Statistical techniques to explore relationships among variables: Regression
9. Week Statistical techniques to explore relationships among variables: Logistic Regression
10. Week Statistical techniques to explore relationships among variables: Factor analysis
11. Week Statistical techniques to compare groups: Non-parametric statistics
12. Week Statistical techniques to compare groups: Non-parametric statistics
13. Week Statistical techniques to compare groups: T-tests
14. Week Grupları kıyaslamak için kullanılan istatistiksel teknikler: Tek yönlü varyans analizi (ANOVA)
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 Course Book(s): • Pallant J., (2016). SPSS Kullanma Kılavuzu, SPSS ile Adım Adım Veri Analizi, Anı Yayıncılık. • Pallant, J. (2016). SPSS Survival Manual: A Step By Step Guide to Data Analysis Using SPSS Program (6th ed.). London, UK: McGraw-Hill Education. References: • Green, Samuel B._ Salkind, Neil J - Using SPSS for Windows and Macintosh analyzing and understanding data (2014, Pearson) • Akgül, A. (2003). Tıbbı araştırmalarda istatistiksel analiz teknikleri, SPSS uygulamaları. • Alpar, R. (2014). Spor, Sağlık ve Eğitim Bilimlerinden Örneklerle Uygulamalı İstatistik ve Geçerlik-Güvenirlik, Detay Yayıncılık. • Can, A., SPSS ile Bilimsel Araştırma Sürecinde Nicel Veri Analizi, Pegem Akademi • Gamgam, H., Altunkaynak, B., (2008), Parametrik Olmayan Yöntemler-SPSS Uygulamalı, Gazi Kitabevi
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

3

 

 

5

 

 

 

LO2

 

  

 

 

3

4

 

 

3

 

 

 

LO3

 

 

3

 

 

3

3

 

 

3

 

 

 

LO4

 

 

 

 

 

 

4

 

 

4

 

  

 

* Degree of Contribution: 1 Very Low 2 Low 3 Medium 4 High 5 Very High