INVESTİGATİON AND DATA ANALYSE METHODS İN HEALTH SCİENCES

Modüle Code Number

SBE 601

Number of ECTS Credits

6

Hours / Week (TPC)

3 2 4

Module Lecturer

Commissioned lecturers from Institue Directory

Year / Term

-

Typ of Course

(Compulsory / Elective)

Compulsory

Pre requisites / Recommended

To start  postgraduate education in Health Science Institute

Module Contents

Defination of investigation methods in health science and Their applications, investigation types, the phases in planing investigation, subject selection, determination of objectives, literature searching, determination of hypothesis, universe and determination of the sampling size, sample selection, survey and data collection systems, preparation of information forms,    collection, classification and analysis of data, distributions, prevalence measurements of distribution, tables and graphics, hypothesis testing, parametric and nonparametric tests, multiple analysis methods, correlation and regression analysis, statistical methods in biomedical experiments, preparation timing table and budget of research, preparation of research report

 

Aims and Objectives of the module

To provide basic computer knowledge, using software programs related to classification and presentation of collected data in health science, SPSS applications in health science, data transfer to program, mistake control in data base, making table and graphic, statistical analysis, distributions and histograms, varians analysis, dependent group ratios, correlation and regression analysis, application of advanced analysis methods on computer

Method of assessment

Lectures and computer practices with Statistical Package Programs (SPSS, Minitab)

Teaching Language

Turkish

Textbook /

Recommended readings

Related books about Statistics, Biostatistics and SPSS

Biostatistic By Metin Bayraktar, İbrahim Şeker, 2001.

Statistic for Veterinary and Animal Science by Aviva Petrie, Poul Watson, 1999.

Biostatistic for Animal Science by Miroslav Kaps, W R Lamberson, 2004.

Principles of Medical Statistics by Feinstein; R Alvan, 2001.