Information Package / Course Catalogue
Bioistatistics Practice By Computer
Course Code: EBL308
Course Type: Required
Couse Group: First Cycle (Bachelor's Degree)
Education Language: Turkish
Work Placement: N/A
Theory: 2
Prt.: 2
Credit: 3
Lab: 0
ECTS: 3
Objectives of the Course

The aim of this course is to teach how to analyze, interpret, and report findings from health-related data using statistical methods and computer-assisted statistical software.

Course Content

The course includes: Introduction and objectives of the course, Introduction to biostatistics and basic concepts, SPSS software package, installation and menus, Types of scientific research, Stages of scientific research, Determining the research topic related to health, Writing research questions and objectives, Types and sources of health data, Preparing data collection forms, Variable definition, Data collection methods, Entering sample data sets, Data coding and editing, Identifying missing data, Entering data into SPSS, Basic statistical concepts, Descriptive statistics, Basic analyses in health research, Creating frequency tables, Preparing and interpreting graphs, Statistical hypotheses, Significance level (p-value), Sample size (number of subjects in groups), Statistical tests and their characteristics, Deciding on statistical tests, Introduction to parametric tests, Independent and dependent groups, Non-parametric tests, Relationship analyses, Regression analysis, Applications in health data, Simple linear regression analysis, Reporting findings, Table, graph and text consistency, Reporting analysis results.

Name of Lecturer(s)
Prof. Zekiye KARAÇAM
Learning Outcomes
1.Explains basic concepts related to health statistics.
2.Formulates a research question related to health.
3.Selects appropriate data collection methods for the research question.
4.Defines dependent and independent variables.
5.Organizes and prepares data for analysis.
6.Applies descriptive and basic inferential statistics.
7.Interprets and reports analysis results.
8.Explains the use of findings in health decisions.
9.Uses computer-assisted statistical programs.
10.Adheres to ethical principles when working with health data.
Recommended or Required Reading
1.Akgül A. Tıbbi Araştırmalarda İstatistiksel Analiz Yöntemleri.
2.Aksakaoğlu G. (2001). Sağlıkta Araştırma Teknikleri ve Analiz Yöntemleri Dokuz Eylül Üniversitesi Rektörlük Matbaası, İzmir.
3.Arıkan R. (2000). Araştırma Teknikleri ve Rapor Yazma. 3. Basım, Gazi Kitabevi, Ankara.
4.Arseven A. (2001). Alan Araştırma Yöntemi. İlkeler, Teknikler, Örnekler. 2. Baskı, Gündüz Eğitim Ve Yayıncılık. Ankara.
5.Bayram N. Sosyal Bilimlerde SPSS Veri Analizi. 2. Baskı, Ezgi Kitabevi. Bursa.
6.Büyüköztürk Ş. (2005). Sosyal Bilimler İçin Veri Analizi El Kitabı, İstatistik, Araştırma Deseni, SPSS Uygulamaları ve Yorum, Gözden Geçirilmiş 5. Baskı, Pegem Yayınları
7.Çelik, M. Y. (2011). Nasıl? Biyoistatistik Bilimsel Araştırma SPSS. Rotatıp Yayınları.
8.Hayran M., Hayran M. (2011). Sağlık Araştırmaları İçin Temel İstatistik. Omega Araştırma Organizasyon Eğitim Danışmanlık Ltd. Şti. Ankara.
9.Hayran O. (2012). Sağlık Bilimlerinde Araştırma ve İstatistiksel Yöntemler. 1. Baskı, Rotatıp Yayınları.
10.İnci E., Aksayan S., Bahar Z., Bayık A., Emiroğlu O., Erefe İ., Görak G., Karataş N., Kocaman G., Kubilay G., Seviğ Ü. (2002). Hemşirelikte Araştırma İlke ve Süreç Yöntemler. İstanbul.
11.Özdamar K. (2004). Paket Programlar İle İstatistiksel Veri Analizi (Çok Değişkenli Analizler) 2. Yenilenmiş 5. Baskı. Kaan Kitabevi, Eskişehir.
12.Pagano, M., & Gauvreau, K. (2018). Principles of Biostatistics. CRC Press. Gordis, L. (2014). Epidemiology. Elsevier.
13.Polit, D. F., & Beck, C. T. (2021). Nursing Research. Wolters Kluwer.
14.Field, A. (2018). Discovering Statistics Using SPSS. Sage.
Weekly Detailed Course Contents
Week 1 - Theoretical
Course Introduction and Objectives Introduction to Biostatistics and Basic Concepts
Week 1 - Practice
SPSS Software Package, Installation and Menus
Week 1 - Preparation Work
Reading study
Week 2 - Theoretical
Types of Scientific Research Stages of Scientific Research Determining the Research Topic Related to Health
Week 2 - Practice
Writing the Research Question and Objectives
Week 2 - Preparation Work
Reading study
Week 3 - Theoretical
Sağlık verilerinin türleri ve kaynakları
Week 3 - Practice
Preparing a data collection form Creating a data set Variable definition Data Collection Methods
Week 3 - Preparation Work
Reading study
Week 4 - Theoretical
Data Collection Methods
Week 4 - Practice
Sample data set input Data encoding and editing Identifying missing data
Week 4 - Preparation Work
reading study
Week 5 - Theoretical
Organizing the data - Coding and classification - Preparing for data entry
Week 5 - Practice
Entering data into SPSS.
Week 5 - Preparation Work
Reading study
Week 6 - Theoretical
Basic Statistical Concepts - Measures of dispersion - Normal distribution and its properties - Variance and standard deviation - The concept of normal distribution
Week 6 - Practice
Descriptive Statistics - Mean, median, mode - Percentage, ratio, rate - Data presentation with tables and graphs
Week 6 - Preparation Work
Reading Article
Week 7 - Theoretical
Basic Analyses in Health Research - Introduction to comparative analyses - Comparisons between two groups (conceptual level) - The concept of relationship and correlation
Week 7 - Practice
Creating frequency tables Column, pie and histogram charts Interpreting charts
Week 7 - Preparation Work
Reading article
Week 8 - Theoretical
Statistical hypotheses Null and alternative hypothesis Significance level (p-value) Sample size (number of subjects in the groups)
Week 8 - Practice
Application of simple hypothesis tests
Week 8 - Preparation Work
Reading Article
Week 9 - Theoretical
Statistical tests and their characteristics The process of deciding on statistical tests
Week 9 - Practice
Deciding on the appropriate statistical test for the data/variables
Week 9 - Preparation Work
Reading Article
Week 10 - Theoretical
Introduction to parametric tests Independent and dependent groups
Week 10 - Practice
Interpretation of Results (t and p values)
Week 10 - Preparation Work
Reading article
Week 11 - Theoretical
Non-parametric tests Terms of use
Week 11 - Practice
Mann–Whitney U test Wilcoxon test
Week 11 - Preparation Work
Reading article
Week 12 - Theoretical
Relationship analysis, the concept of correlation.
Week 12 - Practice
Creating scatter plots
Week 12 - Preparation Work
Reading article
Week 13 - Theoretical
Introduction to regression analysis Applications in health data
Week 13 - Practice
Interpretation of model results
Week 13 - Preparation Work
Reading article
Week 14 - Theoretical
Reporting findings in health research Table, graph and text consistency
Week 14 - Practice
Creating tables and graphs
Week 14 - Preparation Work
Reading article
Assessment Methods and Criteria
Type of AssessmentCountPercent
Midterm Examination1%30
Final Examination1%45
Practice1%25
Workload Calculation
ActivitiesCountPreparationTimeTotal Work Load (hours)
Lecture - Theory141242
Lecture - Practice140228
Practice Examination1527
Midterm Examination1527
Final Examination110212
TOTAL WORKLOAD (hours)96
Contribution of Learning Outcomes to Programme Outcomes
PÇ-1
PÇ-2
PÇ-3
PÇ-4
PÇ-5
PÇ-6
PÇ-7
PÇ-8
OÇ-1
5
OÇ-2
5
OÇ-3
5
OÇ-4
5
OÇ-5
5
OÇ-6
5
OÇ-7
5
OÇ-8
5
OÇ-9
5
OÇ-10
5
Adnan Menderes University - Information Package / Course Catalogue
2026