Social Science Approaches to the Study of Chinese Society Part 2
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Course Summary
Learn the fundamentals of social science research methods and their application to Chinese society. Explore topics such as survey design, data analysis, and research ethics.Key Learning Points
- Gain a strong foundation in social science research methods
- Apply research methods to study Chinese society
- Learn about survey design, data analysis, and research ethics
Job Positions & Salaries of people who have taken this course might have
- Social Science Researcher
- USA: $68,500
- India: ₹5,00,000
- Spain: €24,000
- Data Analyst
- USA: $62,000
- India: ₹4,00,000
- Spain: €22,000
- Sociologist
- USA: $63,000
- India: ₹4,50,000
- Spain: €25,000
Related Topics for further study
Learning Outcomes
- Develop a strong understanding of social science research methods
- Apply research methods to study Chinese society
- Gain knowledge of survey design, data analysis, and research ethics
Prerequisites or good to have knowledge before taking this course
- No previous experience required
- Basic understanding of Chinese society
Course Difficulty Level
BeginnerCourse Format
- Online self-paced course
- Video lectures
- Quizzes and assignments
Similar Courses
- Social Science Approaches to the Study of Chinese Society
- Qualitative Social Science Research Methods
Related Education Paths
- Certificate in Social Science Research Methods
- Certificate in Chinese Studies
- Certificate in Data Analysis
Notable People in This Field
- Arthur Kleinman
- Xin Liu
Related Books
Description
This course is intended as a first step for learners who seek to become producers of social science research. It is organized as an introduction to the design and execution of a research study. It introduces the key elements of a proposal for a research study, and explains the role of each. It reviews the major types of qualitative and quantitative data used in social science research, and then introduces some of the most important sources of existing data available freely or by application, worldwide and for China. The course offers an overview of basic principles in the design of surveys, including a brief introduction to sampling. Basic techniques for quantitative analysis are also introduced, along with a review of common challenges that arise in the interpretation of results. Professional and ethical issues that often arise in the conduct of research are also discussed. The course concludes with an introduction to the options for further study available to the interested student, and an overview of the key steps involved in selecting postgraduate programs and applying for admission. Learners who complete the course will be able to make an informed decision about whether to pursue advanced studies, and should be adequately prepared to write an application for postgraduate study that exhibits basic understanding of key aspects of social science research paradigms and methodologies.
Outline
- Designing a Study
- Course overview
- 1.1 Designing a Study
- 1.2 The Research Proposal
- 1.3 Aims
- 1.4 Impact and Significance
- 1.5 Background-Literature Review
- 1.6 Methodology
- 1.7 Data
- 1.8 Summary
- Assignments and grading
- Suggested Reading List (Optional)
- Week 1 General Reading List
- Week 1 Designing a study
- Week 1 Designing a study
- Evidence
- 2.1 Evidence
- 2.2 Survey data
- 2.3 Public data
- 2.4. Administrative and archival microdata
- 2.5. Multi-generational microdata
- 2.6 Aggregated data
- 2.7 Sources of aggregated data
- 2.8 Qualitative sources
- 2.9 New sources
- 2.10 Summary
- Week 2 Evidence
- Week 2 Evidence
- Sampling
- 3.1. Overview: Sampling
- 3.2. Surveys and sampling
- 3.3. Probability sampling
- 3.4. Clustered sampling
- 3.5. Stratification, oversampling
- 3.6. Respondent-driven sampling
- 3.7(a) Conducting a survey - Preparation
- 3.7(b) Conducting a survey - Designing a Questionnaire
- 3.8. Response rates and follow-up
- 3.9. Summary
- Week 3 Sampling
- Week 3 Sampling
- Public Data for China
- 4.1. Overview: Public data for China
- 4.2. China General Social Survey
- 4.3. China Health and Retirement Longitudinal Survey
- 4.4. China Family Panel Studies
- 4.5. China Health and Nutrition Survey
- 4.6. The China Multigenerational Panel Datasets (CMGPD)
- 4.7. Other major datasets
- 4.8. Summary
- Week 4 Public Data for China
- Week 4 Public Data for China
- Quantitative Analysis
- 5.1 Overview: Quantitative Analysis
- 5.2 Tabulations
- 5.3a Correlation and regression I
- 5.3b Correlation and regression II
- 5.4 Regression to the mean
- 5.5 Statistical significance
- 5.6 Type I errors
- 5.7 Type II errors
- 5.8 Summary Quantitative Analysis
- Week 5 Quantitative Analysis
- Week 5 Study Designs Quiz
- Research and Professional Ethics
- 6.1 Overview of research and professional ethics
- 6.2 The protection of subjects
- 6.3 Consent
- 6.4 Confidentiality
- 6.5 International research
- 6.6 Research funding and publication
- 6.7 Data sharing
- 6.8 Mentor/student relationship
- 6.9 Summary: Research and professional ethics
- Week 6 Research and professional ethics
- Week 6 Research and professional ethics
- Where to go from here
- 7.1 Overview - where to go from here
- 7.2 Options for advanced study in social science
- 7.3 Choosing a PG program
- 7.4 Writing the personal statement
- 7.5 Research proposals and writing samples
- 7.6 Recommendation letters
- 7.7 Summary - where to go from here
- Week 7 Where to go from here
- Week 7 Where to go from here
- Final exam
- Part 2: Concluding remarks
- Final Exam
- Post-course survey
Summary of User Reviews
The Social Science Research in Chinese Society course on Coursera has received positive reviews from users. Many users appreciated the course's practical approach to research and its focus on Chinese society. Overall, users found the course engaging and informative.Key Aspect Users Liked About This Course
The practical approach to research and the focus on Chinese society were particularly appreciated by users.Pros from User Reviews
- Engaging and informative content
- Practical approach to research
- Focus on Chinese society
- Well-structured course materials
- Great instructor
Cons from User Reviews
- Some users found the course too basic
- Limited interaction with other students
- Not enough hands-on assignments
- No certificate of completion for audit users
- Some technical issues with the platform
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