Information Package / Course Catalogue
Applied Data Analysis Methods in Agricultural Economics
Course Code: ZTE514
Course Type: Area Elective
Couse Group: Second Cycle (Master's Degree)
Education Language: Turkish
Work Placement: N/A
Theory: 2
Prt.: 2
Credit: 3
Lab: 0
ECTS: 8
Objectives of the Course

This course focuses on multivariate statistical methods that can be applied to primary and secondary data and data types compiled for different purposes, especially based on data analysis approaches.

Course Content

It is to standardize the variables in different scales and measurements and to choose the right analyzes in accordance with the purpose. For these purposes, teaching data analysis with computer package programs (Microsoft Excel, SPSS, Stata) that facilitate human life makes life easier by giving the course.

Name of Lecturer(s)
Lec. Halil İbrahim YILMAZ
Learning Outcomes
1.Ability to conduct scientific research with the awareness of expanding and deepening knowledge in the field of Agricultural Economics
2.To be able to make computer-aided solutions in the analysis of data
3.Converting data into knowledge using scientific methods
4.Learn to make forward planning in the field of Agricultural Economics
5.Access to life-long knowledge and critical thinking skills
Recommended or Required Reading
1.Nelson, W. B. (2005). Applied life data analysis. John Wiley & Sons.
2.Legewie, N. (2013). An introduction to applied data analysis with qualitative comparative analysis. In Forum Qualitative Sozialforschung/Forum: Qualitative Social Research (Vol. 14, No. 3).
3.Heeringa, S. G., West, B. T., & Berglund, P. A. (2017). Applied survey data analysis. CRC press.
4.Karagöz, Y. (2019). SPSS-AMOS-META uygulamalı istatistiksel analizler. Ankara: Nobel Yayıncılık.
Weekly Detailed Course Contents
Week 1 - Theoretical
Introduction to Basic Statistics Methods
Week 2 - Theoretical
Obtaining and compiling agricultural data
Week 3 - Theoretical
Sampling Methods and sample selection criteria
Week 4 - Theoretical
Types of scales and creation of purpose-oriented scale questions
Week 5 - Theoretical
Scaling and indexing approaches in mixed data
Week 6 - Theoretical
Economic model approaches and model building
Week 7 - Theoretical
Data in Regression Analysis sample models
Week 8 - Theoretical
Econometric approaches to qualitative data (Probability models)
Week 9 - Theoretical
Tobit, Heckman two-stage, Hurdle Models
Week 10 - Theoretical
Analysis of Likert-type scale questions (Factor Analysis, Structural Equation)
Week 11 - Theoretical
Multivariate statistical analyzes (Cluster Analysis, Multidimensional scaling) in the analysis used to standardize different data types
Week 12 - Theoretical
Before and after approaches to data analysis-Impact evaluation analyzes (difference of difference, regression correction, trend score matching approaches)
Week 13 - Theoretical
Quantitative and Qualitative analysis approaches
Week 14 - Theoretical
Evaluation of analysis results and report writing
Assessment Methods and Criteria
Type of AssessmentCountPercent
Midterm Examination1%40
Final Examination1%60
Workload Calculation
ActivitiesCountPreparationTimeTotal Work Load (hours)
Lecture - Theory1462112
Lecture - Practice142256
Midterm Examination112113
Final Examination114115
TOTAL WORKLOAD (hours)196
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
OÇ-1
5
5
2
5
5
5
3
5
5
5
OÇ-2
5
5
2
5
2
2
2
5
5
5
OÇ-3
5
5
2
3
3
2
3
5
5
5
OÇ-4
5
5
2
5
2
5
3
5
5
5
OÇ-5
5
5
4
3
3
5
5
5
5
5
Adnan Menderes University - Information Package / Course Catalogue
2026