Graduate Education Institute · Women's Health and Diseases Nursing · Master
Course Objective
The course aims to help students develop research skills so that they can carry out undergraduate research projects on their own and can, later on, fully participate in, or be informed customers of, large-scale research projects.
Course Content
The course is built on basic statistics knowledge. Topics covered during the course include correlation, nonparametric tests, multiple regression analysis, factor analysis and ANOVA. Students will learn to prepare and analyze data using IBM SPSS.
Required Resources
- Güriş, S. ve Astar M. (2014) Bilimsel Araştırmalarda SPSS ile İstatistik, Der Yayınları, İstanbul
Recommended Resources
- Altunışık R. vd. (2004). Sosyal Bilimlerde Araştırma Yöntemleri, 3. Baskı, Sakarya Kitabevi, Sakarya - Baş T. (2001). Anket, Seçkin Yayınları, Ankara.
- Büyüköztürk, Ş. (2007). Sosyal Bilimler İçin Veri Analizi El Kitabı. Pegem Akademi Yayınevi, Ankara.
- Çokluk Ö. vd. (2010). Sosyal Bilimler için Çok Değişkenli İstatistik (SPSS ve LISREL Uygulamaları). Pegem Yayınları, Ankara
- Day A.R. (2004). Bilimsel Makale Nasıl Yazılır, Nasıl Yayımlanır, 9. Baskı, Tübitak Yayınları, Ankara
- Zikmund W.G. (1997). Business Research Methods, Fifth Ed., Dryden Press. Orlando, USA.
Course Learning Outcomes
- Knows quotation, reference and other reference methods
- Acts in accordance with research ethics.
- Designs the research process from the research question to the reporting.
- Selects appropriate statistical methods in the research.
- Explains science, research, information sources and scientific method.
- Knows the basic concepts used in statistics.
- Makes statistical applications related to the profession professionally.
- Knows the basic concepts of probability and calculates probability.
Core Area Distribution
Teaching Methods
Assessment & Evaluation
ECTS / Workload
| Activity | Quantity | Duration (h) | Total Workload |
|---|---|---|---|
| Course Duration (Including Exam Week) | 16 | 3 | 48 |
| Out of Class Study Period | 16 | 4 | 64 |
| Midterm | 1 | 35 | 35 |
| Quiz | 0 | 0 | 0 |
| Assignment | 0 | 0 | 0 |
| Practice | 0 | 0 | 0 |
| Final | 1 | 40 | 40 |
Course Schedule
| Week | Subject | Preparation |
|---|---|---|
| 1 | Data Sources | Chapter 1 |
| 2 | Descriptive Statistics | Chapter 1 |
| 3 | Parametric Tests | Chapter 3 |
| 4 | Non-Parametric Tests | Chapter 3 |
| 5 | Correlation & Regression | Chapter 4 |
| 6 | Multiple Regression | Chapter 4 |
| 7 | Factor Analyses, Cluster Analyses | Chapter 5 & 6 |
| 8 | Midterm Exam | Midterm Exam |
| 9 | Conformitory Factor Analyses | Chapter 7 |
| 10 | Qualitative Research I | Chapter 9 & 10 |
| 11 | Qualitative Research II | Chapter 10 |
| 12 | Qualitative Research III | Chapter 11 |
| 13 | Sampling Methods | Chapter 2 |
| 14 | citation, citation and other reference methods I | Chapter 2 |
| 15 | citation, citation and other reference methods II | Chapter 2 |
| 16 | Final Exam | Final Exam |