Data Analysis And Spss Applications In Social Sciences II
PHILOSOPHY AND RELIGION (MASTER) (WITH THESIS)
Institute of Social Sciences
Second Cycle (Master's Degree)
| Course Unit Title | Course Unit Code | Type of Course Unit | Level of Course Unit | Year of Study | Semester | ECTS Credits |
|---|---|---|---|---|---|---|
| Data Analysis And Spss Applications In Social Sciences II | FDB108 | Elective | Master's degree | 1 | Spring | 8 |
Name of Lecturer(s)
Prof. Dr. Sefer YAVUZ
Learning Outcomes of the Course Unit
1) He/she can be know SPSS package software
2) He/she can be prepare data collection tool suitable for SPSS package program
3) He/she can be enter data into SPSS package program
4) He/she can performed some statistical analysis techniques through SPSS package program
Program Competencies-Learning Outcomes Relation
| Program Competencies | |||||||||||||
| 1 | 2 | 3 | 4 | 5 | 6 | 7 | 8 | 9 | 10 | 11 | 12 | ||
| Learning Outcomes | |||||||||||||
| 1 | No relation | Low | Low | Low | Low | Low | Low | Low | High | Middle | Middle | Middle | |
| 2 | Low | Low | Low | Low | Low | Low | Low | Low | Low | Low | Low | Low | |
| 3 | Low | Low | Low | Low | Low | Low | Low | Low | Low | Low | Low | Low | |
| 4 | Low | Low | Low | Middle | Low | Low | Middle | Middle | Middle | Middle | Middle | Middle | |
Mode of Delivery
Face to Face
Prerequisites and Co-Requisites
None
Recommended Optional Programme Components
Theories of Sociology of Religion II
Course Contents
Frequency analysis, central distribution measures, t ”test and its types, variance analysis and types, chi-square analysis, one-sample chi-square analysis, two-variable chi-square analysis, correlation analysis, simple and partial correlation analysis, regression analysis , simple-linear regression, multi-linear regression analysis applications
Weekly Schedule
1) Introduction2) Frequency analysis I
3) Frequency analysis II
4) t ”test I
5) t ”test II
6) Analysis of variance I
7) Analysis of variance II
8) Midterm Exam
9) Chi square test I
10) Chi square test II
11) Correlation analysis
12) Regression analysis I
13) Regression analysis II
14) Sample analyse review II
15) Sample analyse review II
16) Final Exam
Recommended or Required Reading
1- Zeki ARSLANTÜRK ve E. Hamit ARSLANTÜRK, Uygulamalı Sosyal Araştırma, Çamlıca Yay., İst., 2011.
2- Şener BÜYÜKÖZTÜRK, Sosyal Bilimler İçin Veri Analizi El Kitabı, Pegem A Yay., Ank., 2007.
3- Remzi ALTUNIŞIK, Recai COŞKUN, Serkan BAYRAKTAROĞLU, Engin YILDIRIM, Sosyal Bilimlerde Araştırma Yöntemleri, Avcı Ofset, İstanbul, 2004.
4- Günay, Ünver, Erzurum ve Çevre Köylerinde Dinî Hayat, Erzurum Kitaplığı, İstanbul 1999.
Planned Learning Activities and Teaching Methods
1) Lecture
2) Question-Answer
3) Discussion
4) Drill and Practice
5) Group Study
6) Case Study
Assessment Methods and Criteria
Contribution of Midterm Examination to Course Grade |
40% |
|---|---|
Contribution of Final Examination to Course Grade |
60% |
Total |
100% |
Language of Instruction
Turkish
Work Placement(s)
Not Required