Course Detail
Course Description
| Course | Code | Semester | T+P (Hour) | Credit | ECTS |
|---|---|---|---|---|---|
| STATISTICS for SOCIAL SCIENCES | INT3114607 | Fall Semester | 4+0 | 4 | 6 |
| Course Program | Salı 12:00-12:45 Salı 12:45-13:30 Salı 13:30-14:15 Cuma 12:00-12:45 |
| Prerequisites Courses | |
| Recommended Elective Courses |
| Language of Course | English |
| Course Level | First Cycle (Bachelor's Degree) |
| Course Type | Required |
| Course Coordinator | Assist.Prof. Osman Zeki GÖKÇE |
| Name of Lecturer(s) | Assist.Prof. Osman Zeki GÖKÇE |
| Assistant(s) | |
| Aim | Designed primarily for undergraduate students, this required course aims to introduce basic statistical tools and quantitative techniques that political scientists have frequently used in their work to make inferences on the political world we live in. Besides theoretical knowledge and conceptual explanations, this course gives considerable emphasis on practical aspects. The course will help you acquire new skills for your research toolbox, as well as discover ways to think about your own research agenda and discuss empirical evidence in an informed manner. In accordance with social scientific inquiry, this course urges students to apply what they learn in theory. This is a handson course designed to convey collection, management, and visualization of data; estimation of bivariate and multivariate statistics; and comprehension of causal and statistical inference. The accompanying problem sessions are to teach the application of statistical concepts and various techniques using statistical software. By the end of this course, students will have been expected to (i) read and understand basic statistical analyses employed in scholarly articles, (ii) acquire essential skills to conduct their own statistical analyses; and finally (iii) become familiar with some advanced topics in quantitative methodology. |
| Course Content | This course contains; Overview of the Course,Intro to Statistics; Sampling & Measurement,Describing Data; Distributions & Working with Samples I,Distributions & Working with Samples II; Statistical Inference: Estimation ,Statistical Inference: Significance Tests I,Statistical Inference: Significance Tests II,Comparing Two Groups; Association Between Variables,Causality & Knowing Data,Bivariate OLS I,Bivariate OLS II,Hypothesis Testing,Multivariate OLS,Dummy Variables & Comparing Means,Transforming Variables. |
| Dersin Öğrenme Kazanımları | Teaching Methods | Assessment Methods |
| Students understand fundamental concepts and important terminology in statistics and probability | 12, 16, 6, 9 | A |
| Students acquire essential skills to conduct their own statistical analyses. | 12, 16, 6, 9 | A |
| Students develop the ability to comprehend academic articles which utilize. | 12, 16, 6, 9 | A |
| Students develop an understanding of principles of data collection, data analysis, and data visualization. | 12, 16, 6, 9 | A, G |
| Students present data in tables and charts, summarize and describe numerical data. | 12, 16, 6, 9 | A, G |
| Students apply statistical reasoning, perform statistical analysis and interpret the results. | 12, 16, 6, 9 | A, G |
| Students gain the ability to perform basic statistical operations using STATA software. | 12, 16, 6, 9 | A, G |
| Students make inferences concerning population means and proportions. | 12, 16, 6, 9 | A, G |
| Teaching Methods: | 12: Problem Solving Method, 16: Question - Answer Technique, 6: Experiential Learning, 9: Lecture Method |
| Assessment Methods: | A: Traditional Written Exam, G: Quiz |
Course Outline
| Order | Subjects | Preliminary Work |
|---|---|---|
| 1 | Overview of the Course | |
| 2 | Intro to Statistics; Sampling & Measurement | AA 1.1–1.3; AA 2.1–2.3 |
| 3 | Describing Data; Distributions & Working with Samples I | AA 3.1–3.4; AA 4.1–4.4 |
| 4 | Distributions & Working with Samples II; Statistical Inference: Estimation | AA 4.5–4.6; AA 5.1–5.4 |
| 5 | Statistical Inference: Significance Tests I | AA 6.1–6.3 |
| 6 | Statistical Inference: Significance Tests II | AA 6.4–6.5 |
| 7 | Comparing Two Groups; Association Between Variables | AA 7.1–7.4; AA 3.5, 8.1–8.2 |
| 8 | Causality & Knowing Data | MB 1.1–1.3; 2.1–2.3 |
| 9 | Bivariate OLS I | MB 3.1–3.4 |
| 10 | Bivariate OLS II | MB 3.4–3.8 |
| 11 | Hypothesis Testing | MB 4.1–4.6 |
| 12 | Multivariate OLS | MB 5.1–5.5 |
| 13 | Dummy Variables & Comparing Means | AA 7.1–7.4; MB 6.1–6.4 |
| 14 | Transforming Variables | MB 7.1–7.4 |
| Resources |
| AA Agresti, Alan. 2018. Statistical Methods for the Social Sciences 5th Edition. London: Pearson Education Limited. MB Bailey, Michael A. 2015. Real Stats: Using Econometrics for Political Science and Public Policy. Oxford: Oxford University Press. |
| GS Gonick, Larry and Woollcott Smith. 1993. Cartoon Guide to Statistics. Harper Perennial: New York, NY |
Course Contribution to Program Qualifications
| Course Contribution to Program Qualifications | |||||||
| No | Program Qualification | Contribution Level | |||||
| 1 | 2 | 3 | 4 | 5 | |||
| 1 | PC1. Students know the fundamental concepts, theories, research methods and analysis techniques used in the fields and sub-fields of Political Science and International relations. | X | |||||
| 2 | PC2. Students understand the political, economic, social, and cultural relations among political systems, international actors, states and non-state actors; analyzes the reasons for the issues and problems in these fields, develop skills for systematic and critical thinking for alternative solutions. | X | |||||
| 3 | PC3. Students of the program will be able to work at public and private institutions, international organizations, and non-governmental organizations. They will be able to involve in the foreign policy making, analysis, and implementation processes; manage project implementations, and shoulder responsibilities at different positions of decision-making processes. The multi-disciplinary perspective they have developed in the program facilitates following solution-oriented perspective at times of crisis, evaluating existing resolutions and developing new alternatives. | X | |||||
| 4 | PC4. Students will be able to conduct scientific research in the fields and sub-fields of political science and international relations, analyze the results and report the findings to stakeholders. | X | |||||
| 5 | PC5. Students will be able to conduct scientific research in the fields and sub-fields of political science and international relations, analyze the results and make scientific publications. | X | |||||
| 6 | PC6. Students will be able to work as group leader in public and private institutions, plan and administer events and activities. | ||||||
| 7 | PC7. As a result of development of critical thinking, students stay open to change and development; adopt never-ending learning principle to their life. | X | |||||
| 8 | PC8. Students use the appropriate oral and written language skills and adopt professional ethics in their communication while sharing results, analyses, and solution suggestions with colleagues and stakeholders | X | |||||
| 9 | PC9. Students use English language skills in research and fields of expertise; easily follow international developments and communicates with international stakeholders. | X | |||||
| 10 | PC10. Students use fundamental computer skills in communication with colleagues and stakeholders. | X | |||||
| 11 | PC11. Students will be able to lead decision-making mechanisms, involve in policy making and analysis processes, and manage negotiation processes in public and private institutions. | ||||||
| 12 | PC12. Students will be able to develop original and scientific solutions and knowledge in their fields of expertise, create projects and act as a consultant to decision-making mechanisms. | X | |||||
Assessment Methods
| Contribution Level | Absolute Evaluation | |
| Rate of Midterm Exam to Success | 40 | |
| Rate of Final Exam to Success | 60 | |
| Total | 100 | |
| ECTS / Workload Table | ||||||
| Activities | Number of | Duration(Hour) | Total Workload(Hour) | |||
| Course Hours | 14 | 4 | 56 | |||
| Guided Problem Solving | 0 | 0 | 0 | |||
| Resolution of Homework Problems and Submission as a Report | 5 | 4 | 20 | |||
| Term Project | 0 | 0 | 0 | |||
| Presentation of Project / Seminar | 0 | 0 | 0 | |||
| Quiz | 4 | 3 | 12 | |||
| Midterm Exam | 1 | 40 | 40 | |||
| General Exam | 1 | 50 | 50 | |||
| Performance Task, Maintenance Plan | 0 | 0 | 0 | |||
| Total Workload(Hour) | 178 | |||||
| Dersin AKTS Kredisi = Toplam İş Yükü (Saat)/30*=(178/30) | 6 | |||||
| ECTS of the course: 30 hours of work is counted as 1 ECTS credit. | ||||||
Detail Informations of the Course
Course Description
| Course | Code | Semester | T+P (Hour) | Credit | ECTS |
|---|---|---|---|---|---|
| STATISTICS for SOCIAL SCIENCES | INT3114607 | Fall Semester | 4+0 | 4 | 6 |
| Course Program | Salı 12:00-12:45 Salı 12:45-13:30 Salı 13:30-14:15 Cuma 12:00-12:45 |
| Prerequisites Courses | |
| Recommended Elective Courses |
| Language of Course | English |
| Course Level | First Cycle (Bachelor's Degree) |
| Course Type | Required |
| Course Coordinator | Assist.Prof. Osman Zeki GÖKÇE |
| Name of Lecturer(s) | Assist.Prof. Osman Zeki GÖKÇE |
| Assistant(s) | |
| Aim | Designed primarily for undergraduate students, this required course aims to introduce basic statistical tools and quantitative techniques that political scientists have frequently used in their work to make inferences on the political world we live in. Besides theoretical knowledge and conceptual explanations, this course gives considerable emphasis on practical aspects. The course will help you acquire new skills for your research toolbox, as well as discover ways to think about your own research agenda and discuss empirical evidence in an informed manner. In accordance with social scientific inquiry, this course urges students to apply what they learn in theory. This is a handson course designed to convey collection, management, and visualization of data; estimation of bivariate and multivariate statistics; and comprehension of causal and statistical inference. The accompanying problem sessions are to teach the application of statistical concepts and various techniques using statistical software. By the end of this course, students will have been expected to (i) read and understand basic statistical analyses employed in scholarly articles, (ii) acquire essential skills to conduct their own statistical analyses; and finally (iii) become familiar with some advanced topics in quantitative methodology. |
| Course Content | This course contains; Overview of the Course,Intro to Statistics; Sampling & Measurement,Describing Data; Distributions & Working with Samples I,Distributions & Working with Samples II; Statistical Inference: Estimation ,Statistical Inference: Significance Tests I,Statistical Inference: Significance Tests II,Comparing Two Groups; Association Between Variables,Causality & Knowing Data,Bivariate OLS I,Bivariate OLS II,Hypothesis Testing,Multivariate OLS,Dummy Variables & Comparing Means,Transforming Variables. |
| Dersin Öğrenme Kazanımları | Teaching Methods | Assessment Methods |
| Students understand fundamental concepts and important terminology in statistics and probability | 12, 16, 6, 9 | A |
| Students acquire essential skills to conduct their own statistical analyses. | 12, 16, 6, 9 | A |
| Students develop the ability to comprehend academic articles which utilize. | 12, 16, 6, 9 | A |
| Students develop an understanding of principles of data collection, data analysis, and data visualization. | 12, 16, 6, 9 | A, G |
| Students present data in tables and charts, summarize and describe numerical data. | 12, 16, 6, 9 | A, G |
| Students apply statistical reasoning, perform statistical analysis and interpret the results. | 12, 16, 6, 9 | A, G |
| Students gain the ability to perform basic statistical operations using STATA software. | 12, 16, 6, 9 | A, G |
| Students make inferences concerning population means and proportions. | 12, 16, 6, 9 | A, G |
| Teaching Methods: | 12: Problem Solving Method, 16: Question - Answer Technique, 6: Experiential Learning, 9: Lecture Method |
| Assessment Methods: | A: Traditional Written Exam, G: Quiz |
Course Outline
| Order | Subjects | Preliminary Work |
|---|---|---|
| 1 | Overview of the Course | |
| 2 | Intro to Statistics; Sampling & Measurement | AA 1.1–1.3; AA 2.1–2.3 |
| 3 | Describing Data; Distributions & Working with Samples I | AA 3.1–3.4; AA 4.1–4.4 |
| 4 | Distributions & Working with Samples II; Statistical Inference: Estimation | AA 4.5–4.6; AA 5.1–5.4 |
| 5 | Statistical Inference: Significance Tests I | AA 6.1–6.3 |
| 6 | Statistical Inference: Significance Tests II | AA 6.4–6.5 |
| 7 | Comparing Two Groups; Association Between Variables | AA 7.1–7.4; AA 3.5, 8.1–8.2 |
| 8 | Causality & Knowing Data | MB 1.1–1.3; 2.1–2.3 |
| 9 | Bivariate OLS I | MB 3.1–3.4 |
| 10 | Bivariate OLS II | MB 3.4–3.8 |
| 11 | Hypothesis Testing | MB 4.1–4.6 |
| 12 | Multivariate OLS | MB 5.1–5.5 |
| 13 | Dummy Variables & Comparing Means | AA 7.1–7.4; MB 6.1–6.4 |
| 14 | Transforming Variables | MB 7.1–7.4 |
| Resources |
| AA Agresti, Alan. 2018. Statistical Methods for the Social Sciences 5th Edition. London: Pearson Education Limited. MB Bailey, Michael A. 2015. Real Stats: Using Econometrics for Political Science and Public Policy. Oxford: Oxford University Press. |
| GS Gonick, Larry and Woollcott Smith. 1993. Cartoon Guide to Statistics. Harper Perennial: New York, NY |
Course Contribution to Program Qualifications
| Course Contribution to Program Qualifications | |||||||
| No | Program Qualification | Contribution Level | |||||
| 1 | 2 | 3 | 4 | 5 | |||
| 1 | PC1. Students know the fundamental concepts, theories, research methods and analysis techniques used in the fields and sub-fields of Political Science and International relations. | X | |||||
| 2 | PC2. Students understand the political, economic, social, and cultural relations among political systems, international actors, states and non-state actors; analyzes the reasons for the issues and problems in these fields, develop skills for systematic and critical thinking for alternative solutions. | X | |||||
| 3 | PC3. Students of the program will be able to work at public and private institutions, international organizations, and non-governmental organizations. They will be able to involve in the foreign policy making, analysis, and implementation processes; manage project implementations, and shoulder responsibilities at different positions of decision-making processes. The multi-disciplinary perspective they have developed in the program facilitates following solution-oriented perspective at times of crisis, evaluating existing resolutions and developing new alternatives. | X | |||||
| 4 | PC4. Students will be able to conduct scientific research in the fields and sub-fields of political science and international relations, analyze the results and report the findings to stakeholders. | X | |||||
| 5 | PC5. Students will be able to conduct scientific research in the fields and sub-fields of political science and international relations, analyze the results and make scientific publications. | X | |||||
| 6 | PC6. Students will be able to work as group leader in public and private institutions, plan and administer events and activities. | ||||||
| 7 | PC7. As a result of development of critical thinking, students stay open to change and development; adopt never-ending learning principle to their life. | X | |||||
| 8 | PC8. Students use the appropriate oral and written language skills and adopt professional ethics in their communication while sharing results, analyses, and solution suggestions with colleagues and stakeholders | X | |||||
| 9 | PC9. Students use English language skills in research and fields of expertise; easily follow international developments and communicates with international stakeholders. | X | |||||
| 10 | PC10. Students use fundamental computer skills in communication with colleagues and stakeholders. | X | |||||
| 11 | PC11. Students will be able to lead decision-making mechanisms, involve in policy making and analysis processes, and manage negotiation processes in public and private institutions. | ||||||
| 12 | PC12. Students will be able to develop original and scientific solutions and knowledge in their fields of expertise, create projects and act as a consultant to decision-making mechanisms. | X | |||||
Assessment Methods
| Contribution Level | Absolute Evaluation | |
| Rate of Midterm Exam to Success | 40 | |
| Rate of Final Exam to Success | 60 | |
| Total | 100 | |