The Institute of Social Science Survey (ISSS) of Peking University was established in September 2006. It is a data survey platform for social sciences at Peking University and an interdisciplinary platform for empirical research on social issues in China. The Center pays attention to the research needs of major national social and economic management policies, promotes Chinese social science and management science to catch up with international academic frontiers, and has accumulated rich knowledge and experience in the fields of social survey, data analysis and big data analysis. Adhering to the concept of “continuously promoting academics and promoting cultural prosperity”, the Center launched an academic service project for the society at the end of 2015, actively sharing professional knowledge and experience with the community, and successfully held nearly 20 high-end training projects, which were widely recognized by the academic community and the industry.

Offline learning:

In order to meet the wishes of the majority of students "going into the Peking University campus", the center organizes relevant training programs.

In order to effectively serve the scientific advancement of quantitative research in the social sciences and promote the solid academic style of quantitative research in China, the Center organizes 2-3 quantitative research seminars for teachers across the country every year.

For enterprises and institutions or government departments with clear training needs to develop training plans, the center can sign a commissioned work agreement with them, and organize a systematic entrusted training course.

The center will open two two-week summer courses of "Social Survey Practice" and "Social Survey Data Analysis Method" at Peking University in July each year. For details, please refer to the official website of Peking University Summer School: http://summer.pku.edu.cn

Training object:

Researchers, students, or people interested in research in the field of scientific experiments, quality inspections, social surveys, etc. in private enterprises. Interested parties are welcome to register and consult!

Certificate of completion:

Students who have passed the training program can obtain a certificate of completion issued by Peking University. The certificate is stamped with Peking University and can be found on the Peking University website.

Registration:

For details, please pay attention to the dynamic information of wechat public account China Minsheng Observation, or visit the official website of Institute of Social Science Survey of Peking University: www.isss.pku.edu.cn Education and training section for enquiries.

Development Department Institute of Social Science Survey , Peking University

Address: Room 617, Science Building, Peking University, No. 5, Yiheyuan Road, Haidian District, Beijing

Tel: 010-62767908-883/858 15011120435 (WeChat with the same number)

E-mail: [email protected] [email protected]

Official website: www.isss.pku.edu.cn

Official WeChat: China Minsheng Observation

Course System - Peking University Social Survey and Quantitative Research Method Training Program Curriculum (Partial)

Module 1: Survey Project Sampling and Application Workshop

Presentation: A general introduction to social survey methods; several important concepts of sampling design for social surveys and general procedures for sampling; design, methods, procedures, and implementation of end-sample method in sample sampling.

Course Title: Summary of methods and applications of social surveys

Class hour: 3

Course Title: Sampling design method and its examples

Class hour: 3

Course Title: Ultimate sample and social survey execution process in practice

Class hour: 3

Course Title: Non-response processing method

Class hour: 3

Module 2: Questionnaire Design and Application Workshop

The principles, methods and steps of designing questionnaires will be introduced in a case-by-case manner; the design principles, evaluation criteria and analytical methods of different types of scales will be described using classical and modern test theories.

Course Title: Basic principles and methods of questionnaire design

Class hour: 3

Course Title: Design and application of the scale

Class hour: 3

Course Title: Survey experiment design and questionnaire development

Class hour: 3

Course Title: Theory and Practice of Network Questionnaire Design

Class hour: 3

Module 3: Survey Implementation and Data Collection Workshop

The basic content and development status of social surveys at home and abroad and related management theories and practices; methods of computer-Assisted surveys, methods for improving data quality using computer-Assisted models and computer-Assisted survey systems.

Course Title: Introduction to Social Survey and Survey Management

Class hour: 3

Course Title: Computer-Assisted survey and data quality

Class hour: 3

Course Title: Survey quality control

Class hour: 3

Course Title: Data management for social surveys

Class hour: 3

Module 4: Data Analysis and Application Workshop

The selection and collation of variables in linear regression analysis, the construction, diagnosis and revision of the model, interpretation of the analysis results; the application of structural equation modeling in social science research; the use of multi-level models; The principle and application of spatial mining and spatial models.

Course Title: Linear regression analysis

Class hour: 3

Course Title: Structural equation model

Class hour: 3

Course Title: Multi-level model

Class hour: 3

Course Title: Spatial mining analysis of social data

Class hour: 3

Module 5: Stata Analysis and Application Workshop

Introduction to STATA software, using examples to help students understand the basic operation of the software; explain how to use STATA software to perform statistical analysis and to interpret the results of statistical analysis.

Course Title: STATA entry and basic data processing

Class hour: 3

Course Title: Data analysis (1)

Class hour: 3

Course Title: Data analysis (2)

Class hour: 3

Course Title: STATA mapping

Class hour: 3

Module 6: Big Data Mining and Application Workshop

Explain the principles, methods, steps and application software of text big data mining; the basic application and advanced application of using machine learning to mine text big data;use R and Python software to program, text big data Conduct mining and analysis.

Course Title: Integration and development of survey data and big data

Class hour: 1.5

Course Title: Introduce and explain the latest results of survey data collection and big data research applications.

Class hour: 1.5

Course Title: Text Big Data Mining and Analysis

Class hour: 1.5

Course Title: Data Mining and Visualization Analysis in the Age of Big Data

Class hour: 1.5

Course Title: Big data new technology and application

Class hour: 1.5

Course Title: Data Management and Data Mining in Big Data Environment

Class hour: 1.5

Course Title: Spatial mining of big data and its application

Class hour: 1.5

Course Title: Industrial research and corporate risk control under big data

Class hour: 1.5

Course Title: Big data and public social management

Class hour: 1.5