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Graduate Education Institute · Internal Medicine Nursing · Master

ECTS: 7.5 T+P+L: 3+0+0 Compulsory
Coordinator: Prof. Dr. Ersoy ÖZ

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

- 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.

Recommended Resources

- 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

  1. Have a knowledge about citation, citation and other reference methods.
  2. Act in accordance with research ethics.
  3. Design the research process from the research question to the reporting.
  4. Select appropriate statistical methods in the study
  5. Describe the steps of the research process.
  6. Explain science, research, sources of information and scientific method.
  7. Know basic concepts used in statistics.
  8. Statistical applications for profession are done professionally.
  9. Know basic concepts about probability and calculate probability.
  10. Get to know your important probability distributions.

Core Area Distribution

(44) Physical Sciences%30 (46) Mathematics and Statistics%40 (72) Health%30

Teaching Methods

ExpressionQuestion-AnswerDiscussionExercise and PracticePresentationGuided PracticeGroup StudySelf studyProblem Solving

Assessment & Evaluation

HomeworkTesting (Essay / Tests: True-Falls, multiple-choice, short answer, matching)

ECTS / Workload

ActivityQuantityDuration (h)Total Workload
Course Duration (Including Exam Week)16348
Out of Class Study Period16464
Midterm13535
Quiz000
Assignment000
Practice000
Final14040

Course Schedule

WeekSubjectPreparation
1Data Sources
2Descriptive StatisticsChapter 1
3Parametric TestsChapter 3
4Non-Parametric TestsChapter 3
5Correlation & RegressionChapter 4
6Multiple RegressionChapter 4
7Factor Analyses, Cluster AnalysesChapter 5 & 6
8Midterm ExamMidterm Exam
9Conformitory Factor AnalysesChapter 7
10Qualitative Research IChapter 9 & 10
11Qualitative Research IIChapter 10
12Qualitative Research IIIChapter 11
13Sampling MethodsChapter 2
14citation, citation and other reference methods I
15citation, citation and other reference methods II
16Final ExamFinal Exam