Brief Introduction
Understanding and performing statistical analyses is a vital ability for those working in the psychological and behavioral sciencesCourse Summary
Learn how to use statistical models to analyze social and behavioral data with this online course from Harvard. Gain a deep understanding of how to interpret data and draw conclusions that can inform decision-making in a variety of fields.Key Learning Points
- Explore statistical modeling techniques used in social and behavioral sciences
- Learn how to interpret data and draw conclusions
- Gain practical skills that can be applied in a variety of fields
Related Topics for further study
Learning Outcomes
- Ability to apply statistical modeling techniques to social and behavioral data
- Improved skills in interpreting data and drawing conclusions
- Practical experience in analyzing and making decisions based on data
Prerequisites or good to have knowledge before taking this course
- Basic knowledge of statistics
- Familiarity with research methods
Course Difficulty Level
IntermediateCourse Format
- Online
- Self-paced
Similar Courses
- Applied Data Analysis
- Data Science: Machine Learning
- Quantitative Methods in Social Sciences
Related Education Paths
Notable People in This Field
- Andrew Gelman
- Nate Silver
- Hans Rosling
Related Books
Description
Course description
Understanding and performing statistical analyses is a vital ability for those working in the psychological and behavioral sciences. Regardless of a person's specialty, the concepts of variability, probability, and predictive modeling are fundamental for answering questions involving data. This intermediate level statistics course is designed to help students understand how to manage data, formulate strong questions/hypotheses, perform analyses, and accurately evaluate statistical results and output. We use the free and open-source program R/RStudio to run statistical analyses. Because we use this tool, both academic and industry-oriented students leave the course with the capability to run complex analyses without the need for expensive software. We cover topics related to the general linear model, including regression, analysis of variance (ANOVA), and analysis of covariance (ANCOVA). Students cannot take both PSYC E-1900 and STAT E-150 for degree or certificate credit.
Summary of User Reviews
Find out what students are saying about Harvard's Statistical Modeling course for social and behavioral sciences. Discover how students rate this course and what they liked most about it.Key Aspect Users Liked About This Course
Many users found the course to be very comprehensive and covered a wide range of topics.Pros from User Reviews
- The course is taught by knowledgeable and experienced instructors.
- The course materials are well-organized and easy to follow.
- The course provides a good foundation for statistical modeling in social and behavioral sciences.
Cons from User Reviews
- Some users found the course to be too fast-paced and difficult to keep up with.
- Some users felt that the course did not provide enough practical examples and real-world applications.
- The course can be quite time-consuming and requires a significant amount of effort and dedication.
- Some users found the course to be too theory-heavy and not practical enough.
- The course may not be suitable for beginners or those without a strong background in statistics.
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