Information Package / Course Catalogue
Design of Survey Based Studies
Course Code: ZTE516
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: 6
Objectives of the Course

The aim of this course is to be equipped with how to design a survey-based research, which is carried out intensively in the Department of Agricultural Economics, from the beginning to the end. Research approaches, theory-specific definitions, basic characteristics of science, hypothesis, observation, selection of research topic and problem, revealing the purpose and importance and creating a research proposal, validity and reliability in measurement, sampling, scale types, data types and sources, questionnaire form. design, method and question types will gain the skills and practice of conducting a conscious research by addressing the subjects. In addition, he will have gained the skills of learning and applying the SPSS package program, which is a statistical program.

Course Content

Within the scope of this course, the necessary techniques for defining, developing, designing and analyzing students' research questions will be presented. Students learn the concepts that form the basis of different research designs, and practical examples are discussed during the course of developing the data collection method, creating a sampling frame, determining the data analysis methods, interpreting the data, and writing the research report. Definition of research problem, determination of research model, Explanatory research design: Secondary research and Qualitative research, Descriptive research methods: Cross-section, iterative research and panels, Primary data collection methods in descriptive research: Questionnaire, Interview, Observation, Formation of theoretical framework, development of hypotheses, Measuring and Scaling Variables, Creating Questionnaires, Data Analysis: Commonly used parametric tests , Data Analysis: , Stata applications

Name of Lecturer(s)
Learning Outcomes
1.Will be able to explain the basic concepts of the questionnaire. Will be able to schedule a survey.
2.Gaining integrated research skills in the planning process.
3.Developing and writing new research proposals.
4.To have knowledge about evaluating survey data.
5.Gains the basic and field-based scientific research preparation infrastructure.
Recommended or Required Reading
1.Bag, T. (2013). Anket, nasıl hazırlanır, nasıl uygulanır, nasıl değerlendirilir. Baskı, Seçkin Yay., Ankara.
2.Karagöz, Y. (2019). SPSS-AMOS-META uygulamalı istatistiksel analizler. Ankara: Nobel Yayıncılık.
3.Heeringa, S. G., West, B. T., & Berglund, P. A. (2017). Applied survey data analysis. CRC press.
Weekly Detailed Course Contents
Week 1 - Theoretical
Identifying a problem in the agricultural field
Week 2 - Theoretical
How will the identified problem be investigated?
Week 3 - Theoretical
What is the purpose of the survey? Who will use the results?
Week 4 - Theoretical
Basic concepts of measurement and measurement, Qualifications that must be found in measurement tools (validity, reliability) Defining the research problem
Week 5 - Theoretical
Selection of Answer Format
Week 6 - Theoretical
Sorting the items,Rating scales
Week 7 - Theoretical
Determining preferences,Comments and open-ended questions
Week 8 - Theoretical
Demographic questions
Week 9 - Theoretical
Review of Question Items
Week 10 - Theoretical
Practical Examples: Satisfaction and Attitude Surveys
Week 11 - Theoretical
Examination of frequently used scales in Agricultural Economics
Week 12 - Theoretical
Defining data to package programs
Week 13 - Theoretical
Selection of analyzes and coding of data according to Research Purpose
Week 14 - Theoretical
Summarizing Survey Results, Frequency Distributions, Percentages and Preparing data for package programs suitable for other analyses.
Assessment Methods and Criteria
Type of AssessmentCountPercent
Midterm Examination1%40
Final Examination1%60
Workload Calculation
ActivitiesCountPreparationTimeTotal Work Load (hours)
Lecture - Theory143270
Lecture - Practice141242
Assignment110111
Midterm Examination115116
Final Examination115116
TOTAL WORKLOAD (hours)155
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
5
5
5
3
5
5
5
5
OÇ-2
4
5
5
5
5
5
5
5
5
3
OÇ-3
5
5
3
3
4
5
5
5
5
3
OÇ-4
5
5
3
2
5
5
5
5
4
5
OÇ-5
5
5
3
3
5
5
5
5
5
5
Adnan Menderes University - Information Package / Course Catalogue
2026