Code | Name of the Course Unit | Semester | In-Class Hours (T+P) | Credit | ECTS Credit |
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SOS369 | QUANTITATIVE DATA ANALYSIS | 5 | 3 | 3 | 5 |
GENERAL INFORMATION |
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Language of Instruction : | Turkish |
Level of the Course Unit : | BACHELOR'S DEGREE, TYY: + 6.Level, EQF-LLL: 6.Level, QF-EHEA: First Cycle |
Type of the Course : | Elective |
Mode of Delivery of the Course Unit | - |
Coordinator of the Course Unit | Prof. ŞENOL DURGUN |
Instructor(s) of the Course Unit | |
Course Prerequisite | No |
OBJECTIVES AND CONTENTS |
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Objectives of the Course Unit: | This course aims to help students use statistical programs actively, interpret the results of research in a meaningful way, and gain knowledge and skills in these methods by recognizing statistical methods. |
Contents of the Course Unit: | Contents of the course include; introduction of SPSS program, explaining the types of analysis, research design, explaining the types of analysis according to the type of variables, parametric and non-parametric statistics, data entry to SPSS, interpretation of the obtained data. |
KEY LEARNING OUTCOMES OF THE COURSE UNIT (On successful completion of this course unit, students/learners will or will be able to) |
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Knows the SPSS program. |
Uses the SPSS program. |
Interprets the results of the analysis performed by SPSS, explain the relationship between variables. |
Remembers the information about the universe and sample, how to collect the data and how to perform a quantitative analysis and apply it via SPSS. |
Analyzes the data by entering SPSS program. |
Distinguishes the types of statistics and design a method according to the research. |
WEEKLY COURSE CONTENTS AND STUDY MATERIALS FOR PRELIMINARY & FURTHER STUDY |
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Week | Preparatory | Topics(Subjects) | Method |
1 | - | Introduction to Statistics; basic concepts | Lecture |
2 | Reading | Introduction to SPSS; Presentation of SPSS menus | Lecture |
3 | Reading | Research design and Codebook Preparation | Lecture -Demonstration |
4 | Reading - Practice | Data File Preparation and Introduction to SPSS | Lecture -Demonstration |
5 | Reading - Practice | Presentation of Preliminary research tests for the reliability of the research; confidence test | Lecture -Demonstration |
6 | Reading - Practice | Methods used in the interpretation of the relationship between variables; correlation, regression, factor analysis | Lecture -Demonstration |
7 | Reading - Practice | Methods used in the interpretation of the relationship between variables; correlation, regression, factor analysis | Lecture -Demonstration |
8 | - | MID-TERM EXAM | - |
9 | Reading - Practice | Methods used in the comparison of the groups; non-parametric tests | Lecture -Demonstration |
10 | Reading - Practice | T - test | Lecture -Demonstration |
11 | Reading - Practice | Variance Analysis I | Lecture -Demonstration |
12 | Reading - Practice | Variance Analysis II | Lecture -Demonstration |
13 | Reading - Practice | Graphitising research findings and reporting types | Lecture -Demonstration |
14 | Reading - Practice | Graphic analysis and interpretation of results | Lecture -Demonstration |
15 | Reading - Practice | Revision | Lecture -Demonstration |
16 | - | FINAL EXAM | - |
17 | - | FINAL EXAM | - |
SOURCE MATERIALS & RECOMMENDED READING |
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Can, Abdullah. (2016). SPSS ile bilimsel arastirma surecinde nicel verilerin analizi. Ankara: Pegem Academy Publications |
Buyukozturk, S., Cakmak, E. K., Akgün, O. E., Karadeniz, S., & Demirel, F. (2016). Bilimsel arastirma yontemleri. Ankara: Pegem Academy Publications |
Koseoglu, M., & Yamak, R. (2011). Uygulamalı istatistik. Trabzon: Derya Bookstore |
Treiman, Donald J. (2014). Quantitative data analysis: Doing social research to test ideas. John Wiley & Sons. |
Treiman, Donald J. (2014). Quantitative data analysis: Doing social research to test ideas. John Wiley & Sons. |
ASSESSMENT |
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Assessment & Grading of In-Term Activities | Number of Activities | Degree of Contribution (%) | Description |
Level of Contribution | |||||
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0 | 1 | 2 | 3 | 4 | 5 |
KNOWLEDGE |
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Theoretical |
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Programme Learning Outcomes | Level of Contribution | ||||||
0 | 1 | 2 | 3 | 4 | 5 | ||
1 |
Define the basic concepts of economics, administrative and human sciences.
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2 |
Explain the general structure, operation and public policy formation process of administration.
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3 |
Relate the principles and rules of political behavior, behavior and leadership in organizations.
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4 |
Relate the knowledge of ecological, economic and social sustainability with information related to the field.
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KNOWLEDGE |
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Factual |
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Programme Learning Outcomes | Level of Contribution | ||||||
0 | 1 | 2 | 3 | 4 | 5 | ||
1 |
Use information about his / her field in professional life and everyday life.
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2 |
Use information related to ecological, economic and social sustainability in professional life and everyday life.
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SKILLS |
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Cognitive |
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Programme Learning Outcomes | Level of Contribution | ||||||
0 | 1 | 2 | 3 | 4 | 5 | ||
1 |
Interpret current political and administrative developments and the functioning of the democratic system by using the knowledge of political science and public administration.
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2 |
Define the basic concepts of management, urbanization, environmental policies, political and legal sciences.
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3 |
Relate professional knowledge of management, urbanization, environmental policies, politics and legal sciences to universal values
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SKILLS |
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Practical |
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Programme Learning Outcomes | Level of Contribution | ||||||
0 | 1 | 2 | 3 | 4 | 5 | ||
1 |
Compare the administrative structures and country management models by using the theoretical knowledge in the field of political science and public.
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2 |
Organize events between the public, private sector and voluntary organizations.
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OCCUPATIONAL |
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Autonomy & Responsibility |
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Programme Learning Outcomes | Level of Contribution | ||||||
0 | 1 | 2 | 3 | 4 | 5 | ||
1 |
Collaborate with the people in the field of political science and public administration.
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2 |
By using the accumulation of knowledge in political science and public administration; manage project, event and social responsibility activities.
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OCCUPATIONAL |
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Learning to Learn |
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Programme Learning Outcomes | Level of Contribution | ||||||
0 | 1 | 2 | 3 | 4 | 5 | ||
1 |
Analyze existing structures with a critical approach based on universal legal norms and administrative structures.
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2 |
Apply the written and unwritten legal rules and ethical codes in his / her personal and professional life.
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OCCUPATIONAL |
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Communication & Social |
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Programme Learning Outcomes | Level of Contribution | ||||||
0 | 1 | 2 | 3 | 4 | 5 | ||
1 |
Improve himself/herself by following the political and administrative agenda and the written-oral work on the agenda.
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2 |
Debate in the field of political science and public administration with different target groups in multicultural environments.
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OCCUPATIONAL |
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Occupational and/or Vocational |
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Programme Learning Outcomes | Level of Contribution | ||||||
0 | 1 | 2 | 3 | 4 | 5 | ||
1 |
Taking advantage of the existing history and theoretical knowledge of the field; interpret and analyze current issues, events and problems.
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2 |
Develop original plans and programs to guide the functioning of political and bureaucratic institutions.
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3 |
Develop alternative public policy proposals in the construction and implementation of sustainable and effective public policies.
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4 |
Design reform programs aimed at making and improving the functioning of political and administrative organizations.
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WORKLOAD & ECTS CREDITS OF THE COURSE UNIT |
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Workload for Learning & Teaching Activities |
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Type of the Learning Activites | Learning Activities (# of week) | Duration (hours, h) | Workload (h) |
Lecture & In-Class Activities | 14 | 3 | 42 |
Preliminary & Further Study | 13 | 2 | 26 |
Land Surveying | 0 | 0 | 0 |
Group Work | 0 | 0 | 0 |
Laboratory | 0 | 0 | 0 |
Reading | 12 | 4 | 48 |
Assignment (Homework) | 0 | 0 | 0 |
Project Work | 0 | 0 | 0 |
Seminar | 0 | 0 | 0 |
Internship | 0 | 0 | 0 |
Technical Visit | 0 | 0 | 0 |
Web Based Learning | 0 | 0 | 0 |
Implementation/Application/Practice | 0 | 0 | 0 |
Practice at a workplace | 0 | 0 | 0 |
Occupational Activity | 0 | 0 | 0 |
Social Activity | 0 | 0 | 0 |
Thesis Work | 0 | 0 | 0 |
Field Study | 0 | 0 | 0 |
Report Writing | 0 | 0 | 0 |
Final Exam | 1 | 1 | 1 |
Preparation for the Final Exam | 1 | 6 | 6 |
Mid-Term Exam | 1 | 1 | 1 |
Preparation for the Mid-Term Exam | 1 | 4 | 4 |
Short Exam | 0 | 0 | 0 |
Preparation for the Short Exam | 0 | 0 | 0 |
TOTAL | 43 | 0 | 128 |
Total Workload of the Course Unit | 128 | ||
Workload (h) / 25.5 | 5 | ||
ECTS Credits allocated for the Course Unit | 5,0 |