Information Package / Course Catalogue
Health Statistics and Computer Applications
Course Code: HF304
Course Type: Required
Couse Group: First Cycle (Bachelor's Degree)
Education Language: Turkish
Work Placement: N/A
Theory: 2
Prt.: 0
Credit: 2
Lab: 0
ECTS: 2
Objectives of the Course

This course aims at to teach how to collect necessary data to investigate a health issue, and how to organise, analyze and interpret these data and how to make ultimate decision

Course Content

Data collection, organization, analysis, interpretation and decision to be reached

Name of Lecturer(s)
Prof. Filiz ADANA
Res. Assist. Duygu YEŞİLFİDAN
Learning Outcomes
1.To have basic conceptual and practical knowledge in the field of health statistics
2. To be able to access to scientific knowledge in the field of nursing and to follow the literature
3.To be able to use the health statistics in his/her field to develop solutions based on scientific evidence
4.To be able inform relevant persons and institutions on issues related to health statistics
5.To be able to express ideas and proposals for the solutions to problems both in writing and orally
6.To be able to use statistics, computer, information and communication technologies as much as his/her field requires
Recommended or Required Reading
1.İnci E., Aksayan S., Bahar Z., Bayık A., Emiroğlu O., Erefe İ., Görak G., Karataş N., Kocaman G., Kubilay G., Seviğ Ü. Hemşirelikte Araştırma İlke ve Süreç Yöntemler. İstanbul,2002.
2.Güler, Ç., Akın L. (2006) Halk Sağlığı Temel Bilgiler, Hacettepe Üniversitesi Yayınları, Ankara
3.Aksakaoğlu G. Sağlıkta Araştırma Teknikleri ve Analiz Yöntemleri. İzmir, Dokuz Eylül Üniversitesi Rektörlük Matbaası.2001.
4.Tavşancılı E. (2002) Tutumların Ölçülmesi ve SPSS ile Veri Analizi Nobel Yayın No:399, Ankara.
5.Büyüköztürk Ş. (2005). Sosyal bilimler için Veri analizi el kitabı, İstatistik, araştırma deseni, SPSS Uygulamaları ve yorum, Gözden geçirilmiş 5. baskı, Pegem yay.
6.Arseven A (2001). Alan Arşatırma Yöntemi İlkeler teknikler Örnekler. Gündüz eğitim ve yay. 2. baskı. Ankara.
7.Yıldırım A. ve Şimşek H. (2006). Sosyal Bilimlerde Nitel Araştırma Yöntemleri, Seçkin yay. 6. baskı. Ankara
8.Özdamar K. (2004). Paket programlar ile istatistiksel veri analizi (Çok değişkenli analizler) 2. Yenilenmiş 5. Baskı. Kaan Kitabevi, Eskişehir
9.Cohen B.H. (2001) Explaining psychological statistics. Wiley.
10.Karasar, N. (1995) Bilimsel Araştırma Yöntemi, 7. Basım
Weekly Detailed Course Contents
Week 1 - Theoretical
Biostatistics and its importance, usage situations of biostatistics in nursing
Week 2 - Theoretical
Research types (Quantitative-Descriptive and Cross-sectional)
Week 3 - Theoretical
Research types (Quantitative-Experimental)
Week 4 - Theoretical
Research types (Quantitative- Methodological)
Week 5 - Theoretical
Types of research (Qualitative)
Week 6 - Theoretical
Population, Sample and Sampling
Week 7 - Theoretical
SPSS program and its content (using the SPSS program)
Week 8 - Theoretical
Continuing data entry into the SPSS program (Midterm Exam)
Week 9 - Theoretical
Data analysis (descriptive) in SPSS program
Week 10 - Theoretical
p value and its meanings
Week 11 - Theoretical
Data analysis (inferential) in SPSS program
Week 12 - Theoretical
Data analysis (inferential) in SPSS program
Week 13 - Theoretical
Normal distribution
Week 14 - Theoretical
Research ethics
Assessment Methods and Criteria
Type of AssessmentCountPercent
Midterm Examination1%40
Final Examination1%60
Workload Calculation
ActivitiesCountPreparationTimeTotal Work Load (hours)
Lecture - Theory140228
Midterm Examination110111
Final Examination115217
TOTAL WORKLOAD (hours)56
Contribution of Learning Outcomes to Programme Outcomes
PÇ-1
PÇ-2
PÇ-3
PÇ-4
PÇ-5
PÇ-6
PÇ-7
PÇ-8
PÇ-9
PÇ-10
OÇ-1
3
4
4
4
3
4
5
3
3
3
OÇ-2
3
4
4
4
3
4
5
3
3
3
OÇ-3
3
4
4
4
3
4
5
3
3
3
OÇ-4
3
4
4
4
3
4
5
3
3
3
OÇ-5
3
4
4
4
3
4
5
3
3
3
OÇ-6
3
5
4
5
3
4
5
3
3
3
Adnan Menderes University - Information Package / Course Catalogue
2026