- Level Foundation
- المدة 16 ساعات hours
- الطبع بواسطة The Hong Kong University of Science and Technology
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Offered by
عن
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. Explore the big questions in social science and learn how you can be a producer of social science research. Course Overview video: https://youtu.be/QuMOAlwhpvU Part 1 should be completed before taking this course: https://www.coursera.org/learn/social-science-study-chinese-societyالوحدات
Welcome
1
Discussions
- Meet and greet!
1
Videos
- Course overview
2
Readings
- Assignments and grading
- Suggested Reading List (Optional)
Week 1 Video Lectures: Designing a Study
8
Videos
- 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
Week 1 Discussion
1
Discussions
- Interest in social science
Week 1 Quiz
1
Assignment
- Week 1 Designing a study
Week 1 Suggested Reading (optional)
2
Readings
- Week 1 General Reading List
- Week 1 Designing a study
Week 2 Video Lectures: Evidence
10
Videos
- 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 Discussion
1
Discussions
- Evidence
Week 2 Quiz
1
Assignment
- Week 2 Evidence
Week 2 Suggested Reading (optional)
1
Readings
- Week 2 Evidence
Week 3 Video Lectures: Sampling
10
Videos
- 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 Discussion
1
Discussions
- Sampling
Week 3 Quiz
1
Assignment
- Week 3 Sampling
Week 3 Suggested Reading (optional)
1
Readings
- Week 3 Sampling
Week 4 Video Lectures: Public data for China
8
Videos
- 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 Discussion
1
Discussions
- Public Data for China
Week 4 Suggested Reading (optional)
1
Readings
- Week 4 Public Data for China
Week 4 Quiz 4
1
Assignment
- Week 4 Public Data for China
Week 5 Video Lectures: Quantitative Analysis
9
Videos
- 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 Discussion
1
Discussions
- Quantitative Analysis
Week 5 Quiz
1
Assignment
- Week 5 Study Designs Quiz
Week 5 Suggested Reading (optional)
1
Readings
- Week 5 Quantitative Analysis
Week 6 Video Lectures: Research and professional ethics
9
Videos
- 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 Discussion
1
Discussions
- Research and professional ethics
Week 6 Quiz
1
Assignment
- Week 6 Research and professional ethics
Week 6 Suggested Reading (optional)
1
Readings
- Week 6 Research and professional ethics
Week 7 Video Lectures: Where to go from here ...
7
Videos
- 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 Discussion
1
Discussions
- Where to go from here
Week 7 Quiz
1
Assignment
- Week 7 Where to go from here
Week 7 Suggested Reading (optional)
1
Readings
- Week 7 Where to go from here
Farewell
1
Videos
- Part 2: Concluding remarks
Final Exam
2
Assignment
- Final Exam
- Post-course survey
Auto Summary
Unlock the fundamentals of social science research with "Social Science Approaches to the Study of Chinese Society Part 2." This course, offered by Coursera and led by expert instructors, is perfect for those eager to delve into research design, data analysis, and ethical considerations in social science. Spanning 960 minutes, it covers qualitative and quantitative data, survey design, sampling, and postgraduate application guidance. Ideal for beginners in personal development, this foundational course will equip you with the skills to become a proficient social science researcher.

Cameron Campbell