Akademik Dersler - Tanıtım


Code - Course Title	İST517 - Multiple Relation Techniques for Questionnaires Analysis
Course Type	Elective Courses
Language of Instruction	Türkçe
Laboratory + Practice	3+0
ECTS	7.5
Course Instructor(s)	DOÇENT ZERRİN AŞAN GREENACRE
Mode of Delivery	The mode of delivery of this course is face to face
Prerequisites	There is no prerequisite or co-requisite for this course.
Courses Recomended	There is no recomended optional programme component for this course.
Recommended Reading List	Dunteman G. H., Ho Ho M. H. R. (2006) An introduction to generalized linear models. Sage publication.
Assessment methods and criteria	There will be one midterm, homework and a final exam. The midterm and the final exam will be paper-and-pencil. The students need to carry out a research paper as homework.
Work Placement	N/A
Sustainability Development Goals

Weeks	Topics
Week - 1	Explain and type of survey data
Week - 2	Explain and analysis categorical data
Week - 3	Create two-multivariate contingency table
Week - 4	Association analysis for contingency table
Week - 5	Correlation coefficients for contingency tables
Week - 6	Define multivariate statistical analysis techniques for categorical data.
Week - 7	Define graphical analysis techniques for categorical data analysis.
Week - 8	Explain multivariate statistical analysis techniques based on modeling for categorical data
Week - 9	Explain Log liner models
Week - 10	Explain correspondence analysis.
Week - 11	Explain logistic regresyon
Week - 12	Explain confirmatory and explanatory factor analysis
Week - 13	Obtaining and preparing survey data for a specific subject where analysis techniques will be applied
Week - 14	Selection and application of the analysis technique suitable for the survey data prepared

Assessment Method and Passing Requirements
	Quamtity	Percentage (%)
Toplam (%)		0