Designing and Running Randomized Evaluations

Rachel Glennerster, Anja Sautmann, MITx

Learn how to both design randomized evaluations and implement them in the field to measure the impact of social programs.

This course is part of the MITx MicroMasters program in Data, Economics, and Development Policy (DEDP). To enroll in the MicroMasters track or to learn more about this program and how it integrates with MIT’s Master’s Program in DEDP, please visit the MicroMasters portal.

The DEDP MicroMasters is part of edX’s free Online Campus program. Participating university affiliates can take DEDP MicroMasters courses free if you register before June 30th. If you are from a university participating in this edX opportunity,click here to redeem your coupon.

The DEDP MicroMasters is also part of the Workforce Recovery Acceleration Program. To apply for this program pleaseclick here.

A randomized evaluation, also known as a field experiment or randomized controlled trial (RCT), is an impact evaluation that uses random assignment to minimize bias, and strengthen our ability to draw causal inferences.

This course will provide step-by-step training on how to design and conduct an RCT. You will learn how to build a well-designed, policy relevant study, includingwhy and when to conduct RCTs.

Additionally, this course will provide insights on how to implement your RCT in the field, including questionnaire design, piloting, quality control, data collection and management. The course will also introduce common research transparency practices.

No previous economics or statistics background is needed.

Course Previews:

Our course previews are meant to give prospective learners the opportunity to get a taste of the content and exercises that will be covered in each course. If you are new to these subjects, or eager to refresh your memory, each course preview also includes some available resources. These resources may also be useful to refer to over the course of the semester.

A score of 60% or above in the course previews indicates that you are ready to take the course, while a score below 60% indicates that you should further review the concepts covered before beginning the course.

Please use the this link to access the course preview.

What will you learn

  • Designing a Randomized Evaluation
  • Selecting a sample
  • Measurement of outcomes
  • Collecting and managing your data
  • Research Integrity, Transparency, and Reproducibility

会期:
  • 2020年6月02日
介绍:
  • 免费:
  • 收费:
  • 证书:
  • MOOC:
  • 视频讲座:
  • 音频讲座:
  • Email-课程:
  • 语言: 英语 Gb

反馈

目前这个课程还没有反馈。您想要留第一个反馈吗?

请注册, 为了写反馈

Show?id=n3eliycplgk&bids=695438
NVIDIA
还有这个题目的:
Conlaw_coursera_1200x680 Constitutional Law
An introduction to the main themes of the American Constitution—popular sovereignty...
Hms214x_262x136_0 HSPH-HMS214x: Fundamentals of Clinical Trials
Clinical trials play a pivotal role in evidence-based medicine. This course...
Jpal101x_social_course_tile262x136 JPAL101x: Evaluating Social Programs
JPAL101x will provide a thorough understanding of how randomized evaluations...
Jpal101x_social_course_tile262x136 JPAL101_1x: Evaluating Social Programs
JPAL101x will provide a thorough understanding of how randomized evaluations...
Sustainable-moocs America's Written Constitution
An introduction to the main themes of the American Constitution—popular sovereignty...
还有标题«数学与统计»:
C9d14131-a515-462b-82e2-6eaec5bc1c17-07a3a07fc0a1.small Using Python for Research
Take your introductory knowledge of Python programming to the next level and...
D47ddc85-0bf0-41d9-94ff-4fde53a95d1a-d7b491c99677.small Deep Learning Fundamentals with Keras
New to deep learning? Start with this course, that will not only introduce you...
50101caa-3572-4dd7-aa84-01f1d53c8042-e2e6f25d8354.small Deep Learning with Tensorflow
Much of theworld's data is unstructured. Think images, sound, and textual data...
A7660cab-402b-41f5-9a4e-cd5dd1badcd0-7cf26b5a552c.small Using GPUs to Scale and Speed-up Deep Learning
Note: The program that this course is a part of is changing and this course...
86eea595-aca4-4557-93f6-ab7bed604864-a085ce41f5be.small Applied Deep Learning Capstone Project
In this capstone project, you'll use either Keras or PyTorch to develop, train...
还有edX:
C9d14131-a515-462b-82e2-6eaec5bc1c17-07a3a07fc0a1.small Using Python for Research
Take your introductory knowledge of Python programming to the next level and...
Ea9710bd-aded-44cc-a3dc-c3f59cc9107d-bb096f5beb0c.small Faith and Finance
Learn about the complex relationships between faith and money, and acquire strategies...
8203b2ca-f5db-4a16-ae2b-02ca1df8aa2a-3f6371f2c5a4.small Discover Political Science
Understand current political stakesas you learn about important concepts and...
D47ddc85-0bf0-41d9-94ff-4fde53a95d1a-d7b491c99677.small Deep Learning Fundamentals with Keras
New to deep learning? Start with this course, that will not only introduce you...
50101caa-3572-4dd7-aa84-01f1d53c8042-e2e6f25d8354.small Deep Learning with Tensorflow
Much of theworld's data is unstructured. Think images, sound, and textual data...

© 2013-2019