COURSE UNIT TITLE

: METHODS OF DATA ANALYSIS

Description of Individual Course Units

Course Unit Code Course Unit Title Type Of Course D U L ECTS
SBE 6077 METHODS OF DATA ANALYSIS ELECTIVE 3 0 0 9

Offered By

Department of Nursing

Level of Course Unit

Third Cycle Programmes (Doctorate Degree)

Course Coordinator

PROFESSOR ÖZGÜL KARAYURT

Offered to

Public Health
Pediatric Nursing
Audiology
Occupational Health
Psychiatric Nursing
COMMUNITY HEALTH NURSING
Medical Education
Laboratory Animal Science
Histology and Embryology
Anatomy
Internal Medicine Nursing
Physical Therapy and Rehabilitation
Basic Oncology
Toxicology
Exercise Physiology
Biochemistry
Surgical Nursing
Biomechanics
Biophysics
Medical Biology and Genetics
Physiology
Medical Physics
Fundamentals of Nursing
Medical Parasitology
Microbiology
Pharmacology
Obstetrics and Gynaecology Nursing
Basic Neuroscience
Nursing Management
Molecular Medicine

Course Objective

This course aims the students to make modelling of seditious factor and interaction, meta-analysis, logistical regression in computer by using LISTREL and to criticize the researches which have been conducted on these subjects.

Learning Outcomes of the Course Unit

1   Deciding on sample size
2   Usage of diagnostic and scanning tests
3   Usage of logistical regression, meta-analysis, structural equation modelling at the researches
4   Assessment of error resources in the research

Mode of Delivery

Face -to- Face

Prerequisites and Co-requisites

None

Recomended Optional Programme Components

None

Course Contents

Week Subject Description
1 Seditious factor and interaction Logistical regression
2 Sample size at invasive research Diagnostic and scanning tests validity, reliability
3 Meta-analysis survival analysis
4 structural equation modelling
5 structural equation modelling continue
6 Structural equation modelling continue
7 Type I and Type II error critic and survival analysis critic
8 The critic on Logistical regression and studies in which meta- analysis is used
9 Criticizing structural equation modelling confirmatory factor analysis and the studies concerning the model using

Recomended or Required Reading

1. Bailar, J. C., Mosteller, F., Medical Uses of Statistics, 2 nd Edition, NEJM Book, Boston, 1992.
2. DiCenso, A., Guyatt, G., Ciliska, D., Evidence Based Nursing A Guide to Clinical Practice, Mosby, 2005.
3. Polit, D., Hungler, B. P., Essentials of Nursing Research: Methods, Appraisal, and Utilization, Third Edition, J. B. Lippincott Company, 1993.
4. Akgül, A., Statistical Analysis Methods in Medical Researches , Board of Higher Education Printing, Ankara, 1997.
5. Ozdamar, K., Statistical Data Analysing with Package Programmes -1, SPSS-MINITAB, 4. Baskı, Kaan Bookstore Eskişehir, 2002.
6. Portney, L. G., Watkins, M. P., Foundations of Clinical Research: Applications to Practice, Appleton&Lange, 1993.
7. Klein, D. G., Kupper, L. L., Muller, K. E., Applied Regression Analysis and Other Multivariable Methods, PWS-Kent Publishing Company, Boston, 1988.
8. Aksakoglu, G., Research and Analysing in Health care , 2nd edition, Izmir, 2006.

Planned Learning Activities and Teaching Methods

Presentation, discussion, question-answer, lab practice, research and article, data analysis methods and exercises

Assessment Methods

SORTING NUMBER SHORT CODE LONG CODE FORMULA
1 MTE MIDTERM EXAM
2 FIN FINAL EXAM
3 FCG FINAL COURSE GRADE MTE * 0.50 + FIN* 0.50
4 RST RESIT
5 FCGR FINAL COURSE GRADE (RESIT) MTE * 0.50 + RST* 0.50

Further Notes About Assessment Methods

None

Assessment Criteria

-In the exams interpretation, recollection, making decision, explaining, classifying and information integrating skills will be assessed.

Language of Instruction

Turkish

Course Policies and Rules

To be announced.

Contact Details for the Lecturer(s)

Prof.Dr.Zuhal Bahar
O2324124751;zuhal.bahar@deu.edu.tr

Office Hours

To be announced.

Work Placement(s)

None

Workload Calculation

Activities Number Time (hours) Total Work Load (hours)
Lecture 3 20 60
Weekly pre-course/post-course preparations 3 20 60
Preparation to the mid-term 2 25 50
Preparation to the final exam 1 35 35
Final Exam 1 6 6
Midterm 2 7 14
TOTAL WORKLOAD (hours) 225

Contribution of Learning Outcomes to Programme Outcomes

PO/LOPO.1PO.2PO.3PO.4PO.5PO.6PO.7PO.8PO.9PO.10PO.11PO.12
LO.15
LO.2555
LO.35
LO.45555