COURSE INFORMATION
Course CodeCourse TitleL+P HourSemesterECTS
EKNM 310CATEGORICAL DATA ANALYSIS3 + 06th Semester5

COURSE DESCRIPTION
Course Level Bachelor's Degree
Course Type Elective
Course Objective To teach categorical data analysis
Course Content Basic concepts, Contingency tables in two dimensions; Measures of Correlation, Multi-dimensional Tables, Independence Tests, Odds Ratio
Prerequisites No prerequisites.
Corequisite No corequisites.
Mode of Delivery Face to face

COURSE LEARNING OUTCOMES
1To be able to do categorical data analysis
2To be able to think analytically
3To be able to examine the relation between qualitative variables

COURSE'S CONTRIBUTION TO PROGRAM
PO 01PO 02PO 03PO 04PO 05PO 06PO 07PO 08PO 09PO 10PO 11PO 12
LO 01  4         
LO 02444444      
Sub Total448444      
Contribution113111000000

ECTS ALLOCATED BASED ON STUDENT WORKLOAD BY THE COURSE DESCRIPTION
ActivitiesQuantityDuration (Hour)Total Work Load (Hour)
Course Duration14342
Hours for off-the-classroom study (Pre-study, practice)13339
Assignments11010
Mid-terms11313
Final examination12626
Total Work Load

ECTS Credit of the Course






130

5

COURSE DETAILS
 Select Year   


 Course TermNoInstructors
Details 2014-2015 Spring1ATALAY ÇAĞLAR

Course Details
Course Code:  EKNM 310 Course Title:  CATEGORICAL DATA ANALYSIS
L+P Hour : 3 + 0   Course Code : 1   Language Of Instruction: Turkish Course Semester :  2014-2015 Spring
Course Coordinator :  ASSOCIATE PROFESSOR ATALAY ÇAĞLAR E-Mail:  acaglar@pau.edu.tr, Phone Number :  296 2743,
Course Location İİBF C0204,
Goals : To teach categorical data analysis
Content : Basic concepts, Contingency tables in two dimensions; Measures of Correlation, Multi-dimensional Tables, Independence Tests, Odds Ratio
Attendance : %70
Topics
WeeksTopics
1 Course Description
2 Introduction
3 Two-Way Contingency Table
4 Hypothesis testing for the difference in Proportions, Relative Risk, Odds Ratio
5 Independence Tests:Pearson Chi-Square Test,Likelihood Ratio Test, Independence Test Based On Residuals
6 Tests of Independence in Two-Way Nominal-Ordinal Tables
7 Tests of Independence in Two-Way Ordinal-Ordinal Tables
8 Independence Tests in Small Samples
9 Midterm
10 Three-Way Contingency Tables
11 Correlation Coefficients in Contingency Tables
12 Correlation Coefficients in Contingency Tables
13 Binary Logistics Regression Analysis
14 SPSS
Materials
Materials are not specified.
Resources
Course Assessment
Assesment MethodsPercentage (%)Assesment Methods Title
Final Exam60Final Exam
Midterm Exam40Midterm Exam
L+P: Lecture and Practice
PQ: Program Learning Outcomes
LO: Course Learning Outcomes