May 1, 2024
3 minute read
P-Hacking is a term used to describe a set of questionable research practices that can lead to false or misleading results. These practices include selectively reporting positive results, manipulating data to achieve statistical significance, and using inappropriate statistical tests. P-Hacking can occur in any field of research, but it is particularly common in social sciences, where the data are often complex and difficult to interpret.
Why is P-Hacking a Problem?
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Find a path to becoming a P-Hacking. Learn more at:
OpenCourser.com/topic/zip69j/p
Reading list
We've selected 12 books
that we think will supplement your
learning. Use these to
develop background knowledge, enrich your coursework, and gain a
deeper understanding of the topics covered in
P-Hacking.
Provides a comprehensive overview of statistical significance and P-values. Baguley discusses the different types of statistical tests and the assumptions that must be met in order to use them.
Provides a mathematical foundation for P-values. Wasserman discusses the different ways to calculate P-values and the properties of P-values.
Provides a gentle introduction to Bayesian statistics. Bayes discusses the basic concepts of Bayesian statistics and shows how to use Bayesian methods to solve problems.
Explores the intersection of data science and feminism. D'Ignazio and Klein discuss the ways in which data can be used to promote gender equality and social justice.
Explores the ways in which algorithms can be used to discriminate against people. O'Neil discusses the different types of algorithms and the ways in which they can be used to make unfair decisions.
Provides a fun and engaging introduction to data science. Harford discusses the different ways in which data can be used to tell stories and solve problems.
Explores the ways in which data can be used to make predictions. Silver discusses the different types of data and the methods that can be used to analyze it.
Explores the potential risks and benefits of artificial intelligence. Bostrom discusses the different ways in which AI could be used and the ways in which it could impact society.
For more information about how these books relate to this course, visit:
OpenCourser.com/topic/zip69j/p
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