Information
Code | EBE605 |
Name | Advanced Biostatistics (C) |
Term | 2022-2023 Academic Year |
Semester | . Semester |
Duration (T+A) | 2-2 (T-A) (17 Week) |
ECTS | 5 ECTS |
National Credit | 3 National Credit |
Teaching Language | Türkçe |
Level | Doktora Dersi |
Type | Normal |
Mode of study | Yüz Yüze Öğretim |
Catalog Information Coordinator |
Course Goal / Objective
In this course, it is aimed to transfer advanced analysis and information about the use, interpretation and reporting of statistical analyzes used in studies conducted in the field of health, especially midwifery.
Course Content
Science and the scientific method, istatsitik and biostatistics, Biostatistics and computing, operating systems, SPSS, data collection in Health Sciences, ınput data in SPSS, classification, and tabulation, showing graphs, descriptive statistics, probability, frequency distributions, and some theoretical distributions, sampling methods, hypothesis testing, parametric tests parametric tests, analysis of variance, nonparametric tests, regression and correlation analysis, special statistical methods in the field of Health.
Course Precondition
None
Resources
1. Suat CEBECİ Scientific Research and Writing Techniques Alfa Training Books Istanbul, 2002 9789753164481 2. Özdamar K. Biostatistics with SPSS, ETAM A.Ş. Printing House Eskişehir, 2001 9789756428573 3. Ahmet Hamdi İSLAMOĞLU Scientific Research Methods Beta İstanbul 2003 9752953115
Notes
Lecture notes
Course Learning Outcomes
Order | Course Learning Outcomes |
---|---|
LO01 | Explains statistical methods and principles |
LO02 | Decides on the selection of the correct materiality test that is appropriate for the research data and experimental structure and makes its application. |
LO03 | organizes datasets and draws statistically significant results from these datasets. |
LO04 | Applies and interprets statistical analysis. |
LO05 | Knows which types of variables, for what purpose, and how to apply which statistical analysis techniques. |
LO06 | Use the statistical package program effectively. |
Relation with Program Learning Outcome
Order | Type | Program Learning Outcomes | Level |
---|---|---|---|
PLO01 | Bilgi - Kuramsal, Olgusal | Develops and deepens the current and advanced knowledge in the field of midwifery with the knowledge obtained from different disciplines, original thought, and/or research, and reaches original results that can bring innovation to the field of midwifery. | |
PLO02 | Bilgi - Kuramsal, Olgusal | With evidence-based practices, an ethical approach, and professional philosophy, she sets an example for her colleagues, healthcare team, and society. | |
PLO03 | Bilgi - Kuramsal, Olgusal | Carries out projects and research that will contribute to the social development and strengthening of the midwifery profession, independently or in a team, and reflects the results of its practices. | 3 |
PLO04 | Beceriler - Bilişsel, Uygulamalı | Maintains professional and individual development by adopting lifelong learning as a principle, and develops new thoughts and methods about midwifery by using high-level mental processes such as creative and critical thinking, problem-solving, and decision-making. | |
PLO05 | Beceriler - Bilişsel, Uygulamalı | Has the point of view to develop concepts, theories, and models related to the midwifery profession, can develop innovative ideas, method design, and application or adapt a known idea, method, or practice to a different field. | |
PLO06 | Yetkinlikler - Bağımsız Çalışabilme ve Sorumluluk Alabilme Yetkinliği | Has a high level of knowledge on research methods and performs statistical analysis to evaluate a scientific article. | 5 |
PLO07 | Yetkinlikler - Bağımsız Çalışabilme ve Sorumluluk Alabilme Yetkinliği | Publishes the results obtained from original research and projects in national/internationally accepted peer-reviewed scientific journals and presents them at scientific meetings. | 4 |
PLO08 | Yetkinlikler - İletişim ve Sosyal Yetkinlik | Pioneers the development of field-specific policies by analyzing the needs of society, adopting innovative approaches, and accessing the right information easily and quickly. | |
PLO09 | Yetkinlikler - İletişim ve Sosyal Yetkinlik | Has developed leadership skills, takes responsibility for the solution of midwifery and related interdisciplinary problems, and leads by using strategic decision-making processes. | |
PLO10 | Yetkinlikler - Alana Özgü Yetkinlik | Using their knowledge of teaching methods and techniques, they can create a training program in their field, conduct training, and evaluate the results. |
Week Plan
Week | Topic | Preparation | Methods |
---|---|---|---|
1 | Introduction to biostatistics.Classification of data and distribution measures. | reading, research | Öğretim Yöntemleri: Anlatım, Soru-Cevap, Tartışma, Alıştırma ve Uygulama |
2 | Theoretical distributions Sampling methods and sample size. | reading, research | Öğretim Yöntemleri: Anlatım, Soru-Cevap, Alıştırma ve Uygulama, Gösterip Yaptırma |
3 | Significance test of population mean Significance test of population ratio Significance test of difference between two means Significance test of difference between two spouses | reading, research | Öğretim Yöntemleri: Anlatım, Soru-Cevap, Gösterip Yaptırma, Alıştırma ve Uygulama, Beyin Fırtınası |
4 | One-way analysis of variance in independent groups One-way analysis of variance in dependent groups | reading, research | Öğretim Yöntemleri: Anlatım, Soru-Cevap, Alıştırma ve Uygulama, Gösterip Yaptırma |
5 | Sign test Mann whitney u test Wilcoxon paired two-sample test Kruskal Wallis analysis of variance Chi-square analysis | reading, research | Öğretim Yöntemleri: Anlatım, Soru-Cevap, Alıştırma ve Uygulama, Grup Çalışması |
6 | One Way and Two Way Analysis of Variance (One Way Anova) And Spss Application | reading, research | Öğretim Yöntemleri: Anlatım, Soru-Cevap, Alıştırma ve Uygulama, Bireysel Çalışma |
7 | ONE WAY MANOVA and SPSS APPLICATION | reading, research | Öğretim Yöntemleri: Anlatım, Soru-Cevap, Alıştırma ve Uygulama |
8 | Mid-Term Exam | general review | Ölçme Yöntemleri: Yazılı Sınav |
9 | TWO WAY MANOVA and SPSS APPLICATION | reading, research | Öğretim Yöntemleri: Anlatım, Soru-Cevap, Alıştırma ve Uygulama, Bireysel Çalışma |
10 | ANALYSIS OF COVARIANCE (ANCOVA) SPSS APPLICATION | reading, research | Öğretim Yöntemleri: Anlatım, Soru-Cevap, Alıştırma ve Uygulama |
11 | RELIABILITY ANALYSIS and SPSS APPLICATION | reading, research | Öğretim Yöntemleri: Soru-Cevap, Anlatım, Alıştırma ve Uygulama |
12 | FACTOR ANALYSIS SPSS APPLICATION | reading, research | Öğretim Yöntemleri: Anlatım, Soru-Cevap, Alıştırma ve Uygulama |
13 | SIMPLE LINEAR REGRESSION AND CORRELATION ANALYSIS and SPSS APPLICATION | reading, research | Öğretim Yöntemleri: Anlatım, Soru-Cevap, Alıştırma ve Uygulama |
14 | MULTILINEAR REGRESSION AND CORRELATION ANALYSIS and SPSS APPLICATION | reading, research | Öğretim Yöntemleri: Anlatım, Soru-Cevap, Alıştırma ve Uygulama |
15 | LOGISTICS REGRESSION ANALYSIS and SPSS APPLICATION | reading, research | Öğretim Yöntemleri: Anlatım, Soru-Cevap, Tartışma, Alıştırma ve Uygulama |
16 | Term Exams | general review | Ölçme Yöntemleri: Performans Değerlendirmesi, Yazılı Sınav |
17 | Term Exams | general review | Ölçme Yöntemleri: Performans Değerlendirmesi, Yazılı Sınav |
Student Workload - ECTS
Works | Number | Time (Hour) | Workload (Hour) |
---|---|---|---|
Course Related Works | |||
Class Time (Exam weeks are excluded) | 14 | 4 | 56 |
Out of Class Study (Preliminary Work, Practice) | 14 | 3 | 42 |
Assesment Related Works | |||
Homeworks, Projects, Others | 1 | 3 | 3 |
Mid-term Exams (Written, Oral, etc.) | 1 | 8 | 8 |
Final Exam | 1 | 16 | 16 |
Total Workload (Hour) | 125 | ||
Total Workload / 25 (h) | 5,00 | ||
ECTS | 5 ECTS |