Description of Individual Course Units
Course Unit CodeCourse Unit TitleType of Course UnitYear of StudySemesterNumber of ECTS Credits
ISG-23-117Elective116
Level of Course Unit
Second Cycle
Objectives of the Course
The aim of the course is to introduce basic statistical concepts and to gain the ability to make quantitative data analysis through statistical programs such as SPSS, Prism, MATLAB. In addition, using various internet tools and MATLAB program, the other purpose of the course is to provide skills on qualitative data analysis and statistical analysis of qualitative data by quantification.
Name of Lecturer(s)
Doç. Dr. Volkan DURAN
Learning Outcomes
1Can explain basic statistical concepts.
2Can apply parametric or non-parametric tests required to make comparisons between two or more groups in SPSS.
3
4Develop a reliable and valid measurement tool
5Can create descriptive, diagnostic, predictive and prescriptive models using a variety of statistical tools.
Mode of Delivery
Daytime Class
Prerequisites and co-requisities
No prerequisite course
Recommended Optional Programme Components
Course Contents
Quantitative data analysis using SPSS, MATLAB, Excel, JASP, JAMOVI, Prism and other statistical tools Qualitative data analysis using various web tools Quantification of qualitative data using SPSS, MATLAB, Excel, JASP, JAMOVI, Prism and other statistical tools
Weekly Detailed Course Contents
WeekTheoreticalPracticeLaboratory
1An overview of Research Methods and Statistical Concepts
2General features of Spss
3Data coding, data cleaning, data editing and data preparation
4Descriptive statistics
5COMPARING THE AVERAGES OF TWO DIFFERENT GROUPS COMPARING THE AVERAGES OF TWO MEASUREMENTS (REPEATING) FROM ONE GROUP COMPARING THE AVERAGES OF MORE THAN TWO GROUPS
6CONSIDERING THE SEPARATE EFFECTS OF MORE THAN MORE VARIABLES AND THE JOINT EFFECT COMPARING AVERAGES OF GROUPS MORE THAN TWO GROUPS (MORE THAN ONE DEPEND COMPARE THE AVERAGES OF MORE THAN TWO (REPEATIVE) MEASUREMENTS OF A GROUP
7BÖLÜM-18 FARKLI İKİ GRUPTA ARALIKLI OLARAK YAPILAN (TEKRARLI) İKİ ÖLÇÜMÜN SONUÇLARI ARASINDAKİ FARKLARIN, GRUPLARA GÖRE BİRBİRİYLE KARŞILAŞTIRILMASI ÖLÜM-19 BİRBİRİYLE İLİŞKİLİ OLAN İKİ DEĞİŞKENDEN BİRİSİNDEKİ DEĞİŞİME GÖRE DİĞERİNİN ALACAĞI DEĞERİ YORDAMA (KESTİRME) BÖLÜM-20 BİR DEĞİŞKEN İLE İLİŞKİSİ OLAN BİR DİZİ DEĞİŞKENDEKİ DEĞİŞİMLERİN, İNCELENEN DEĞİŞKEN ÜZERİNDEKİ ETKİLERİNİ İNCELEME Lojistik Regresyon ve Üst Düzey Analizler (AYEUM)
8DETERMINING THE STRUCTURAL FEATURES OF A MEASUREMENT TOOL DETERMINING THE RELIABILITY OF MEASUREMENT MADE WITH A MEASUREMENT TOOL AMOS AND SEM ANALYSIS MIDTERM
9EXAMINING THE RELATIONSHIP BETWEEN SUB-CATEGORIES OF A QUALITATIVE (CLASSIFIED) VARIABLE EXAMINING THE RELATIONSHIP BETWEEN CATEGORIES OF TWO QUALITATIVE (CLASSIFIED) VARIABLES STATISTICALLY CONTROLLING THE EFFECT OF ONE OF THE VARIABLES THAT HAS INFLUENCE ON THE VARIABLE INVESTIGATION
10INVESTIGATION OF THE “INTERCRETEMENT” BETWEEN THE MEASUREMENT RESULTS RELATED TO TWO MEASUREMENTS EXAMINING “COMPATIBILITY” BETWEEN TWO OR MORE DATA SERIES ASSESSMENT OF SITUATIONS WHERE MORE THAN ONE RESPONSE IS GIVEN TO ONE ITEM
11SPSS Artificial Neural Networks Classification Analysis Time Series Analysis
12Using MATLAB toolbox (fuzzy, roc curve etc.)
13Text analysis in MATLAB and various programs
14https://translate.google.com/?sl=tr&tl=en&text=MATLAB%20toolbox%20kullan%C4%B1m%C4%B1%20(fuzzy%2C%20roc%20curve%20vb.)%0AMATLAB%20ve%20%C3%A7e%C5%9Fitli%20programlarda%20metin%20analizi%0AMATLAB%20ve%20%C3%A7e%C5%9Fitli%20programlarda%20metin%20analizi%0A&op=translate#:~:text=and%20various%20programs-,Text%20analysis%20in%20MATLAB%20and%20various%20programs,-Dinleyin
Recommended or Required Reading
Planned Learning Activities and Teaching Methods
Assessment Methods and Criteria
Term (or Year) Learning ActivitiesQuantityWeight
Report Presentation150
Self Study150
SUM100
End Of Term (or Year) Learning ActivitiesQuantityWeight
Report Preparation150
Report Presentation150
SUM100
Term (or Year) Learning Activities50
End Of Term (or Year) Learning Activities50
SUM100
Language of Instruction
Turkish
Work Placement(s)
Workload Calculation
ActivitiesNumberTime (hours)Total Work Load (hours)
Attending Lectures22040
Discussion22040
Report Preparation11010
Report Presentation23060
Self Study22040
TOTAL WORKLOAD (hours)190
Contribution of Learning Outcomes to Programme Outcomes
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* Contribution Level : 1 Very low 2 Low 3 Medium 4 High 5 Very High
 
Iğdır University, Iğdır / TURKEY • Tel (pbx): +90 476 226 13 14 • e-mail: info@igdir.edu.tr