Social Science Approaches to the Study of Chinese Society Part 2 (Coursera)

Social Science Approaches to the Study of Chinese Society Part 2 (Coursera)

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.

Class Deals by MOOC List - Click here and see Coursera's Active Discounts, Deals, and Promo Codes.

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.

Part 1 should be completed before taking this course.

Syllabus

WEEK 1
Designing a Study
Welcome to Social Science Approaches to the Study of Chinese Society Part 2! Part 2 focuses on being a PRODUCER of Social Science Research. Take some time to review the course overview, assignments for this course and say hello in the discussion forum.

WEEK 2
Evidence
Week 2 will discuss the kind sources social scientists use for research. By the end of this week, you should be able to identify some of these major sources and perhaps pinpoint some sources that can be used in your own study.

WEEK 3
Sampling
By the end of Week 3, you should be able to understand why RANDOM SAMPLING is important in a survey, outline the most common approaches to sampling and discuss key considerations when choosing a sampling strategy for your study.

WEEK 4
Public Data for China
Week 4 discusses major sources of public data available to you. By the end of this week you should be able to describe the opportunities as well as the challenges associated with using publicly available survey data.

WEEK 5
Quantitative Analysis
Week 5 will give you a taste of the basic methods for quantitative analysis. From there you should be able to identify key issues when interpreting results and discuss implications for research.

WEEK 6
Research and Professional Ethics
By the end of this week you should be able to describe major ethical and professional concerns in social science research.

WEEK 7
Where to go from here
Welcome to the last week of Part 2! By the end of this week you should be able to be aware of the options you have for further study in social science research and know the steps to move forward in the application process for advanced training.

WEEK 8
Final exam
You've reached the final exam week! Complete the final exam and the post-course survey. Your feedback can help us improve the course. Thank you for being a part of this course and good luck for your pursuit of advanced studies in social science research!

Go to Class
MOOC List is learner-supported. When you buy through links on our site, we may earn an affiliate commission.

Related Courses

Get Interactive: Practical Teaching with Technology (Coursera) Coursera
University of London,Bloomsbury Learning Environment

Get Interactive: Practical Teaching with Technology (Coursera)

This course is designed to help you create dynamic, interactive online courses through the use of multimedia tools, student collaboration opportunities, and formative assessment and feedback. Each week we will focus on a particular topic: Using multimedia for teaching and learning; Encouraging student collaboration; Formative assessment and feedback.

Jun 15th 2026
3 Weeks
Teaching Impacts of Technology: Workplace of the Future (Coursera) Coursera
University of California, San Diego

Teaching Impacts of Technology: Workplace of the Future (Coursera)

In this course you’ll focus on how the Internet has enabled new careers and changed expectations in traditional work settings, creating a new vision for the workplace of the future. This will be done through a series of paired teaching sections, exploring a specific “Impact of Computing” in your typical day and the “Technologies and Computing Concepts” that enable that impact, all at a K12-appropriate level.

Jun 17th 2026
4 Weeks
Computational Thinking for K-12 Educators: Abstraction, Methods, and Lists (Coursera) Coursera
University of California, San Diego

Computational Thinking for K-12 Educators: Abstraction, Methods, and Lists (Coursera)

How do gamers cause things to happen when they hit buttons on their controller? How does the computer keep track of gamer's scores? This class teaches the concepts of nested loops, events, and variables. For each concept, we'll start by helping you connect real-world experiences you are already familiar with to the programming concept you are about to learn. Next, through a cognitively scaffolded process we'll engage you in developing your fluency with problem solving with nested loops, events, and variables in a way that keeps frustration at a minimum.

Jun 17th 2026
5-12 Weeks
Capstone Project: Teaching Impacts of Technology (Coursera) Coursera
University of California, San Diego

Capstone Project: Teaching Impacts of Technology (Coursera)

In this project-based course you’ll review the Advanced Placement Computer Science Principles course and exam description guide to prepare for the “Explore Task”, where students must research a recent computing innovation and and analyze its impacts on the world. You’ll also review the description of this task from the student perspective and complete the task yourself. Then you’ll assess sample secondary student work by following the APCSP scoring guidelines as well as provide feedback to a fellow learner on their submitted task and receive the same from fellow learners.

Jun 17th 2026
5-12 Weeks
社会调查与研究方法 (上)Methodologies in Social Research (Part I) (Coursera) Coursera
Peking University

社会调查与研究方法 (上)Methodologies in Social Research (Part I) (Coursera)

社会调查与研究方法,首先,是一套观察社会现象、测量社会现象的工具;其次,是一套分析和运用社会现象数据的科学方法;最高境界,则是一套针对社会、经济、教育、政治、法律、管理、公共卫生、新闻报道等人类的生产与生活现象,进行科学沟通的思维逻辑与表达方式。

Jun 15th 2026
5-12 Weeks
Teaching Impacts of Technology: Data Collection, Use, and Privacy (Coursera) Coursera
University of California, San Diego

Teaching Impacts of Technology: Data Collection, Use, and Privacy (Coursera)

In this course you’ll focus on how constant data collection and big data analysis have impacted us, exploring the interplay between using your data and protecting it, as well as thinking about what it could do for you in the future. This will be done through a series of paired teaching sections, exploring a specific “Impact of Computing” in your typical day and the “Technologies and Computing Concepts” that enable that impact, all at a K12-appropriate level.

Jun 17th 2026
4 Weeks
Sexualidad y educación (Coursera) Coursera
Universidad de los Andes

Sexualidad y educación (Coursera)

La mayor parte de las personas tenemos inquietudes sobre cómo, cuándo y para qué educar a niñas, niños, jóvenes y adultos acerca de la sexualidad. Ya sea como madres, padres, cuidadores, profesores, profesionales de la salud, interesados en los medios de comunicación o en el tema de la sexualidad, con frecuencia nos planteamos preguntas como las siguientes: ¿Para qué educar sobre sexualidad, si existe abundante información al respecto? ¿La educación de la sexualidad debería brindarla la familia o la escuela? ¿A qué edad es adecuado iniciar la educación de la sexualidad? ¿La educación de la sexualidad aumenta la curiosidad sobre este tema?

Jun 15th 2026
5-12 Weeks
Quantitative Research (Coursera) Coursera
University of California, Davis

Quantitative Research (Coursera)

In this course, you will obtain some insights about marketing to help determine whether there is an opportunity that actually exists in the marketplace and whether it is valuable and actionable for your organization or client. What you will learn: predict common pitfalls in designing and implementing quantitative research and a plan to avoid them; design an effective questionnaire by applying best practices for writing questions and response options; launch your survey to the target audience using a quantitative survey platform and get back results; analyze a given set of data, perform basic calculations, and describe it with descriptive statistics

Jun 15th 2026
4 Weeks
Civic Engagement in American Democracy (Coursera) Coursera
Duke University

Civic Engagement in American Democracy (Coursera)

So how does the American political system work? Who are some of the key actors? What are key concepts for a student trying to understand what’s going on? How can I as a citizen influence politics? Civic Engagement in American Democracy takes on these and other key questions. We’re Dr. Nicholas Carnes and Dr. Bruce Jentleson, the principal course instructors. Along with our Duke faculty colleagues who also contributed modules, we’ve designed the course to provide a strong foundational introduction to US politics.

Jun 15th 2026
4 Weeks
Computational Thinking for K-12 Educators Capstone (Coursera) Coursera
University of California, San Diego

Computational Thinking for K-12 Educators Capstone (Coursera)

In this capstone project course, you will learn to support your students in successfully completing the Advanced Placement Principles Create Task -- however this task can be useful for any course as a culminating, student-designed final programming project. You will learn to interpret and practice applying to real sample student work the Create Task rubric and have the option to modify it for your own setting. You'll prepare resources to help students through the challenges that come with doing an open-ended project that still needs to meet certain specifications.

Jun 17th 2026
4 Weeks
Sampling People, Networks and Records (Coursera) Coursera
University of Michigan

Sampling People, Networks and Records (Coursera)

Good data collection is built on good samples. But the samples can be chosen in many ways. Samples can be haphazard or convenient selections of persons, or records, or networks, or other units, but one questions the quality of such samples, especially what these selection methods mean for drawing good conclusions about a population after data collection and analysis is done. Samples can be more carefully selected based on a researcher’s judgment, but one then questions whether that judgment can be biased by personal factors.

Jun 15th 2026
5-12 Weeks