Information Package / Course Catalogue - Adnan Menderes University

General Information Unit Staff Academic Information Programme Outcomes Course Structure Diagram Contact Information

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Data Analysis- I

Course Code	: EKO519
Course Type	: Area Elective
Couse Group	: Second Cycle (Master's Degree)
Education Language	: Turkish
Work Placement	: N/A

Theory	: 3
Prt.	: 0
Credit	: 3
Lab	: 0
ECTS	: 5

Objectives of the Course

Able to recognize of package programmes and data entry, data table and graph drawing package programs can do, whether to interpret the statistical analysis of the ability of the basic package of programs for student

Course Content

Entering the data and the description of data, frequency distribution, the measurement of central tendency, simple and partial correlation, the comparison of avaradge mark in not relaled measurements, simple anda multiple regression, covaryance analysis, SPSS applications.

Name of Lecturer(s)

Learning Outcomes

1.	Describe various styles of interpretation of qualitative data
2.	Articulate the relative appropriateness of different analysis approaches for a particular qualitative study
3.	Ability to calculate and interpret descriptive statistics at statistical software programmes
4.	Have current, theoretical and practical knowledge in the field of statistics
5.	Analyze current problems with statistical methods

Recommended or Required Reading

1.	Bayram, N. (2009),SPSS ile veri analizi, Seçkin yayıncılık, Ankara.

Weekly Detailed Course Contents

Week 1 - Theoretical

Compilation of data

Week 2 - Theoretical

Transferring data to a computer

Week 3 - Theoretical

Tables and Charts

Week 4 - Theoretical

Averages

Week 5 - Theoretical

Dispersion and tilt measurements

Week 6 - Theoretical

Index numbers

Week 7 - Theoretical

Index numbers

Week 8 - Theoretical

Regression and correlation analysis

Week 9 - Theoretical

Regression and correlation analysis

Week 10 - Theoretical

Hypothesis testing

Week 11 - Theoretical

Hypothesis testing

Week 12 - Theoretical

Non-parametric tests

Week 13 - Theoretical

Non-parametric tests

Week 14 - Theoretical

Computer applications

Assessment Methods and Criteria

Type of Assessment	Count	Percent
Midterm Examination	1	%40
Final Examination	1	%60

Workload Calculation

Activities	Count	Preparation	Time	Total Work Load (hours)
Lecture - Theory	14	3	3	84
Midterm Examination	1	10	3	13
Final Examination	1	20	3	23
TOTAL WORKLOAD (hours)				120

Contribution of Learning Outcomes to Programme Outcomes

	PÇ-1	PÇ-2	PÇ-3	PÇ-4	PÇ-5	PÇ-6	PÇ-7	PÇ-8	PÇ-9	PÇ-10	PÇ-11	PÇ-12	PÇ-13
OÇ-1	3	4	3	3	5	5	4	3	4	4	4	4	4
OÇ-2	3	4	3	3	5	5	4	3	4	4	4	4	4
OÇ-3	3	4	3	3	5	5	4	3	4	4	4	4	4
OÇ-4	4	4	4	4	4	4	4	4	4	4	4	4	4
OÇ-5	4	4	4	4	4	4	4	4	4	4	4	4	4

Person Responsible for Information Package