BİS544

5 ECTS - 2-3 Duration (T+A)- . Semester- 1 National Credit

Information

Code BİS544
Name
Term 2023-2024 Academic Year
Semester . Semester
Duration (T+A) 2-3 (T-A) (17 Week)
ECTS 5 ECTS
National Credit 1 National Credit
Teaching Language Türkçe
Level Yüksek Lisans Dersi
Type Normal
Mode of study Yüz Yüze Öğretim
Catalog Information Coordinator


Course Goal / Objective

To provide information about non-parametric statistical methods, to show the difference between parametric and non-parametric statistical methods, to choose the appropriate non-parametric test when necessary assumptions for parametric tests are not provided.

Course Content

Basic concepts, rank statistics, goodness of fit tests, hypothesis tests for independent and dependent groups, correlation coefficient

Course Precondition

To have taken an introduction to analysis (BIS500) course

Resources

Gamgam, H., & Altunkaynak, B. (2008). Parametrik Olmayan Yöntemler SPSS Uygulamalı.

Notes

Pett, M. A. (2015). Nonparametric statistics for health care research: Statistics for small samples and unusual distributions. Sage Publications.


Course Learning Outcomes

Order Course Learning Outcomes
LO01 Counts basic non-parametric statistical methods
LO02 Understands the difference between parametric and non-parametric statistical methods
LO03 Selects the appropriate non-parametric test when the necessary assumptions for parametric tests are not provided
LO04 Calculates the test statistics of the non-parametric test seen in the course.
LO05 Interprets test findings obtained as a result of applications made with package programs.


Relation with Program Learning Outcome

Order Type Program Learning Outcomes Level
PLO01 Bilgi - Kuramsal, Olgusal Students comprehends the fundamentals of statistical theory related to the field of health ( probability and bayesian biostatistics). 4
PLO02 Bilgi - Kuramsal, Olgusal Students explain demographic terminologies and statistical methods in the field of health sciences.
PLO03 Beceriler - Bilişsel, Uygulamalı Students understand and use medical terminology.
PLO04 Beceriler - Bilişsel, Uygulamalı Students collect data from research studies, analyze, and make inferences 2
PLO05 Beceriler - Bilişsel, Uygulamalı Students knows the system of international classification of diseases, obtain and analyze hospital statistics.
PLO06 Beceriler - Bilişsel, Uygulamalı Students design scientific research studies in order to give response to the problem arising from health and clinical sciences
PLO07 Beceriler - Bilişsel, Uygulamalı Students select the appropriate statistical procedure for analysis , apply and make inferences. 4
PLO08 Beceriler - Bilişsel, Uygulamalı Students use the necessary statistical packages for analysis, if necessary write and develop software. 4
PLO09 Beceriler - Bilişsel, Uygulamalı Students follow the latest development in medical informatics and employ frequently used tools and methods.
PLO10 Yetkinlikler - Bağımsız Çalışabilme ve Sorumluluk Alabilme Yetkinliği Students design health survey, determine the sampling method and conduct the survey
PLO11 Yetkinlikler - Bağımsız Çalışabilme ve Sorumluluk Alabilme Yetkinliği Students select and use proper statistical procedure for diagnosis and in making inferences for the data in health and clinical medicine and provide consultance to clinicians in the field. 1
PLO12 Yetkinlikler - Öğrenme Yetkinliği Students develop the ability of critical thinking, make a conclusion with a critical approach to the evidence
PLO13 Yetkinlikler - Öğrenme Yetkinliği Students apply analytical procedure to frequently used survival data, multivariate procedure and regression techniques.
PLO14 Yetkinlikler - İletişim ve Sosyal Yetkinlik Students provide consulting services by using effective communication skills; take part in research teamworks; defend the ethical rules.
PLO15 Yetkinlikler - Alana Özgü Yetkinlik Students explain the fundamental terminologies in epidemiology, guide researchers conducting field survey and clinical studies, develop methodologies in determining disease risk factor and disease burden and advise for choosing proper diagnostic test.


Week Plan

Week Topic Preparation Methods
1 Introduction to non-parametric statistical methods Reading Öğretim Yöntemleri:
Anlatım
2 Non-parametric tests Reading Öğretim Yöntemleri:
Anlatım
3 Non-parametric tests used for a single sample Reading Öğretim Yöntemleri:
Anlatım
4 Goodness of fit tests Reading Öğretim Yöntemleri:
Anlatım
5 Nonparametric tests used for two independent samples Reading Öğretim Yöntemleri:
Anlatım
6 Nonparametric tests used for two dependent samples Reading Öğretim Yöntemleri:
Anlatım
7 Test applications Reading Öğretim Yöntemleri:
Alıştırma ve Uygulama, Gösterip Yaptırma
8 Mid-Term Exam Ölçme Yöntemleri:
Yazılı Sınav
9 Non-parametric tests used for k independent samples Reading Öğretim Yöntemleri:
Anlatım
10 Non-parametric tests used for k dependent samples Reading Öğretim Yöntemleri:
Anlatım
11 Non-parametric correlation coefficients Reading Öğretim Yöntemleri:
Anlatım
12 Application of non-parametric tests with package programs Reading Öğretim Yöntemleri:
Alıştırma ve Uygulama, Gösterip Yaptırma
13 Application of non-parametric tests with package programs 2 Reading Öğretim Yöntemleri:
Alıştırma ve Uygulama, Soru-Cevap
14 Interpretation of test findings Reading Öğretim Yöntemleri:
Tartışma, Beyin Fırtınası
15 Interpretation of test findings 2 Reading Öğretim Yöntemleri:
Alıştırma ve Uygulama, Tartışma, Soru-Cevap
16 Term Exams Ölçme Yöntemleri:
Yazılı Sınav
17 Term Exams Ölçme Yöntemleri:
Yazılı Sınav


Student Workload - ECTS

Works Number Time (Hour) Workload (Hour)
Course Related Works
Class Time (Exam weeks are excluded) 14 2 28
Out of Class Study (Preliminary Work, Practice) 14 3 42
Assesment Related Works
Homeworks, Projects, Others 1 8 8
Mid-term Exams (Written, Oral, etc.) 1 15 15
Final Exam 1 30 30
Total Workload (Hour) 123
Total Workload / 25 (h) 4,92
ECTS 5 ECTS

Update Time: 22.05.2023 11:18