Course Detail
Course Description
| Course | Code | Semester | T+P (Hour) | Credit | ECTS |
|---|---|---|---|---|---|
| STATISTICS | - | Spring Semester | 3+0 | 3 | 5 |
| Course Program |
| Prerequisites Courses | |
| Recommended Elective Courses |
| Language of Course | Turkish |
| Course Level | First Cycle (Bachelor's Degree) |
| Course Type | Required |
| Course Coordinator | Prof.Dr. Bekir Berat ÖZİPEK |
| Name of Lecturer(s) | Assoc.Prof. Serkan ETİ, Assist.Prof. Recep ÖZSÜRÜNÇ |
| Assistant(s) | |
| Aim | The goal of this course is to teach the students of Political Science and Public Administration how to do quantitative and qualitative data analysis by using the tools of statistics. |
| Course Content | This course contains; What is Statistics?,Descriptive Statistics: Frequency Distributions and Percentages,Descriptive Statistics: Measures of Central Tendency,Descriptive Statistics: Measures of Dispersion,Descriptive Statistics: Normal Distribution,Inferential Statistics: Sampling,Correlation,Inferential Statistics: Hypothesis Testing (One-Sample Case),Inferential Statistics: Hypothesis Testing (Two-Sample Case),Inferential Statistics: Hypothesis Testing (ANOVA),Inferential Statistics: Hypothesis Testing (Chi-Square),SPSS Applications ,SPSS Applications ,Overview. |
| Dersin Öğrenme Kazanımları | Teaching Methods | Assessment Methods |
| 1. Use the basic concepts of statistics. | 12, 9 | A |
| 2. Comprehend a social science article written based on data analyzed with statistical methods. | 12, 9 | A |
| 3. Collect data by using statistical methods for social science research. | 12, 9 | A |
| 4. Analyze data by using statistical methods for social science research. | 12, 9 | A |
| 5. Use statistical methods to analyze the data collected in order to answer the different questions asked in social science research. | 12, 9 | A |
| 6. Interpret the results of the analysis of quantitative data in social science research. | 12, 9 | A |
| 7. Analyze the causal relationships between the events and phenomenon in social science research by using statistical methods. | 12, 9 | A |
| 8. Analyze data by using SPSS. | 12, 9 | A |
| Teaching Methods: | 12: Problem Solving Method, 9: Lecture Method |
| Assessment Methods: | A: Traditional Written Exam |
Course Outline
| Order | Subjects | Preliminary Work |
|---|---|---|
| 1 | What is Statistics? | Giriş bölümü (Sayfa 1-12) |
| 2 | Descriptive Statistics: Frequency Distributions and Percentages | Frekans Dağılımları (Sayfa 15-26) |
| 3 | Descriptive Statistics: Measures of Central Tendency | Frekans Dağılımının Betimlenmesi (Sayfa 29-47) |
| 4 | Descriptive Statistics: Measures of Dispersion | Frekans Dağılımının Betimlenmesi (Sayfa 29-47) |
| 5 | Descriptive Statistics: Normal Distribution | Olasılık, Standart Normal Dağılım ve Standart Puanlar (Sayfa 53-71) |
| 6 | Inferential Statistics: Sampling | Anlam Çıkartıcı İstatistik (Sayfa 131-142) |
| 7 | Correlation | Korelasyon: İki Değişken Arasındaki İlişki Ve İlişkinin Ölçülmesi (Sayfa 75-106) |
| 8 | Inferential Statistics: Hypothesis Testing (One-Sample Case) | Anlam Çıkartıcı İstatistik (Sayfa 131-142) |
| 9 | Inferential Statistics: Hypothesis Testing (Two-Sample Case) | T-Testi: Ortalamalar Arası Farkların Test Edilmesi (Sayfa 143-161) |
| 10 | Inferential Statistics: Hypothesis Testing (ANOVA) | Varyans Analizi: Ortalamalar Arası Farkların Test Edilmesi (Sayfa 165-178) |
| 11 | Inferential Statistics: Hypothesis Testing (Chi-Square) | Ki-Kare Bağımsızlık Testi (sayfa 181-186) |
| 12 | SPSS Applications | Reading the notes of the relevant theoretical part previously mentioned |
| 13 | SPSS Applications | Reading the notes of the relevant theoretical part previously mentioned |
| 14 | Overview | Reexamination of questions of Quiz I and Quiz II |
| Resources |
| Şener Büyüköztürk, Ömay Çokluk, Nilgün Köklü, Sosyal Bilimler İçin İstatistik, 2016. |
| Özer Serper, Uygulamalı İstatistik, Ezgi Kitabevi |
Course Contribution to Program Qualifications
| Course Contribution to Program Qualifications | |||||||
| No | Program Qualification | Contribution Level | |||||
| 1 | 2 | 3 | 4 | 5 | |||
| 1 | 1. Students will know basic concepts and theories of both research and application in political science and public administration. | X | |||||
| 2 | 2. Students will be able to analyze facts about politics, political and constitutional systems, and public administration by taking different dimensions into account. They will also be able to understand the causes of new developments and problems in these fields, find solutions for these problems, and think systematically about them. | X | |||||
| 3 | 3. Students will be able to work in processes such as strategic planning, policy making, project productions, auditing, decision making, evaluation and implementation both in public and private sector, political parties, and non-governmental organizations. | ||||||
| 4 | 4. Students will be able to deal with complexities stemming from natural or social systems and uncertainties about the facts and values. | X | |||||
| 5 | 5. Students will be able to take active roles in teams formed for producing solutions to the problems related to their own majors, manage activities through planning, and do academic research. | X | |||||
| 6 | 6. Students will be able to collect data in their own field, analyze these data by using technology effectively, and evaluate and critically interpret them. | X | |||||
| 7 | 7. Students will be able to use basic concepts and methods that the administrators would need in various fields such as economics, management, international relations, and communication. | X | |||||
| 8 | 8. Students will be able to use Turkish fluently and correctly in scientific and professional studies. They will also be able to read and understand at least one foreign language. | ||||||
| 9 | 9. Being always open to learning, students will be able to evaluate the facts with a critical approach. | X | |||||
| 10 | 10. Students will be able to take responsibility in developing projects on voluntary basis and actively participate in them. | ||||||
| 11 | 11. Students will act with an ethical consciousness and have a respect for to human rights. They will be open to communication with people and able to work in cooperation. | X | |||||
| 12 | 12. Students will be able to constitute high performance structures in public and private institutions by using modern management methods and instruments. | X | |||||
| 13 | 13. Students will be able to enable other groups and institutions to participate in policy-making processes, make decisions open to collaboration, and manage negotiation processes. | 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 | 3 | 42 | |||
| Guided Problem Solving | 14 | 3 | 42 | |||
| Resolution of Homework Problems and Submission as a Report | 2 | 2 | 4 | |||
| Term Project | 0 | 0 | 0 | |||
| Presentation of Project / Seminar | 0 | 0 | 0 | |||
| Quiz | 5 | 1 | 5 | |||
| Midterm Exam | 1 | 22 | 22 | |||
| General Exam | 1 | 22 | 22 | |||
| Performance Task, Maintenance Plan | 0 | 0 | 0 | |||
| Total Workload(Hour) | 137 | |||||
| Dersin AKTS Kredisi = Toplam İş Yükü (Saat)/30*=(137/30) | 5 | |||||
| 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 | - | Spring Semester | 3+0 | 3 | 5 |
| Course Program |
| Prerequisites Courses | |
| Recommended Elective Courses |
| Language of Course | Turkish |
| Course Level | First Cycle (Bachelor's Degree) |
| Course Type | Required |
| Course Coordinator | Prof.Dr. Bekir Berat ÖZİPEK |
| Name of Lecturer(s) | Assoc.Prof. Serkan ETİ, Assist.Prof. Recep ÖZSÜRÜNÇ |
| Assistant(s) | |
| Aim | The goal of this course is to teach the students of Political Science and Public Administration how to do quantitative and qualitative data analysis by using the tools of statistics. |
| Course Content | This course contains; What is Statistics?,Descriptive Statistics: Frequency Distributions and Percentages,Descriptive Statistics: Measures of Central Tendency,Descriptive Statistics: Measures of Dispersion,Descriptive Statistics: Normal Distribution,Inferential Statistics: Sampling,Correlation,Inferential Statistics: Hypothesis Testing (One-Sample Case),Inferential Statistics: Hypothesis Testing (Two-Sample Case),Inferential Statistics: Hypothesis Testing (ANOVA),Inferential Statistics: Hypothesis Testing (Chi-Square),SPSS Applications ,SPSS Applications ,Overview. |
| Dersin Öğrenme Kazanımları | Teaching Methods | Assessment Methods |
| 1. Use the basic concepts of statistics. | 12, 9 | A |
| 2. Comprehend a social science article written based on data analyzed with statistical methods. | 12, 9 | A |
| 3. Collect data by using statistical methods for social science research. | 12, 9 | A |
| 4. Analyze data by using statistical methods for social science research. | 12, 9 | A |
| 5. Use statistical methods to analyze the data collected in order to answer the different questions asked in social science research. | 12, 9 | A |
| 6. Interpret the results of the analysis of quantitative data in social science research. | 12, 9 | A |
| 7. Analyze the causal relationships between the events and phenomenon in social science research by using statistical methods. | 12, 9 | A |
| 8. Analyze data by using SPSS. | 12, 9 | A |
| Teaching Methods: | 12: Problem Solving Method, 9: Lecture Method |
| Assessment Methods: | A: Traditional Written Exam |
Course Outline
| Order | Subjects | Preliminary Work |
|---|---|---|
| 1 | What is Statistics? | Giriş bölümü (Sayfa 1-12) |
| 2 | Descriptive Statistics: Frequency Distributions and Percentages | Frekans Dağılımları (Sayfa 15-26) |
| 3 | Descriptive Statistics: Measures of Central Tendency | Frekans Dağılımının Betimlenmesi (Sayfa 29-47) |
| 4 | Descriptive Statistics: Measures of Dispersion | Frekans Dağılımının Betimlenmesi (Sayfa 29-47) |
| 5 | Descriptive Statistics: Normal Distribution | Olasılık, Standart Normal Dağılım ve Standart Puanlar (Sayfa 53-71) |
| 6 | Inferential Statistics: Sampling | Anlam Çıkartıcı İstatistik (Sayfa 131-142) |
| 7 | Correlation | Korelasyon: İki Değişken Arasındaki İlişki Ve İlişkinin Ölçülmesi (Sayfa 75-106) |
| 8 | Inferential Statistics: Hypothesis Testing (One-Sample Case) | Anlam Çıkartıcı İstatistik (Sayfa 131-142) |
| 9 | Inferential Statistics: Hypothesis Testing (Two-Sample Case) | T-Testi: Ortalamalar Arası Farkların Test Edilmesi (Sayfa 143-161) |
| 10 | Inferential Statistics: Hypothesis Testing (ANOVA) | Varyans Analizi: Ortalamalar Arası Farkların Test Edilmesi (Sayfa 165-178) |
| 11 | Inferential Statistics: Hypothesis Testing (Chi-Square) | Ki-Kare Bağımsızlık Testi (sayfa 181-186) |
| 12 | SPSS Applications | Reading the notes of the relevant theoretical part previously mentioned |
| 13 | SPSS Applications | Reading the notes of the relevant theoretical part previously mentioned |
| 14 | Overview | Reexamination of questions of Quiz I and Quiz II |
| Resources |
| Şener Büyüköztürk, Ömay Çokluk, Nilgün Köklü, Sosyal Bilimler İçin İstatistik, 2016. |
| Özer Serper, Uygulamalı İstatistik, Ezgi Kitabevi |
Course Contribution to Program Qualifications
| Course Contribution to Program Qualifications | |||||||
| No | Program Qualification | Contribution Level | |||||
| 1 | 2 | 3 | 4 | 5 | |||
| 1 | 1. Students will know basic concepts and theories of both research and application in political science and public administration. | X | |||||
| 2 | 2. Students will be able to analyze facts about politics, political and constitutional systems, and public administration by taking different dimensions into account. They will also be able to understand the causes of new developments and problems in these fields, find solutions for these problems, and think systematically about them. | X | |||||
| 3 | 3. Students will be able to work in processes such as strategic planning, policy making, project productions, auditing, decision making, evaluation and implementation both in public and private sector, political parties, and non-governmental organizations. | ||||||
| 4 | 4. Students will be able to deal with complexities stemming from natural or social systems and uncertainties about the facts and values. | X | |||||
| 5 | 5. Students will be able to take active roles in teams formed for producing solutions to the problems related to their own majors, manage activities through planning, and do academic research. | X | |||||
| 6 | 6. Students will be able to collect data in their own field, analyze these data by using technology effectively, and evaluate and critically interpret them. | X | |||||
| 7 | 7. Students will be able to use basic concepts and methods that the administrators would need in various fields such as economics, management, international relations, and communication. | X | |||||
| 8 | 8. Students will be able to use Turkish fluently and correctly in scientific and professional studies. They will also be able to read and understand at least one foreign language. | ||||||
| 9 | 9. Being always open to learning, students will be able to evaluate the facts with a critical approach. | X | |||||
| 10 | 10. Students will be able to take responsibility in developing projects on voluntary basis and actively participate in them. | ||||||
| 11 | 11. Students will act with an ethical consciousness and have a respect for to human rights. They will be open to communication with people and able to work in cooperation. | X | |||||
| 12 | 12. Students will be able to constitute high performance structures in public and private institutions by using modern management methods and instruments. | X | |||||
| 13 | 13. Students will be able to enable other groups and institutions to participate in policy-making processes, make decisions open to collaboration, and manage negotiation processes. | X | |||||
Assessment Methods
| Contribution Level | Absolute Evaluation | |
| Rate of Midterm Exam to Success | 40 | |
| Rate of Final Exam to Success | 60 | |
| Total | 100 | |