1 option
Learn How to Avoid p-Hacking in Null Hypothesis Testing Using Data From the National Survey of Sexual Attitudes and Lifestyles (Natsal-3) (2010-2012) Open Access Teaching Dataset / Julie Scott Jones.
- Format:
- Book
- Author/Creator:
- Jones, Julie Scott, author.
- Language:
- English
- Subjects (All):
- Quantitative research.
- Research--Moral and ethical aspects.
- Research.
- Physical Description:
- 1 online resource : illustrations
- Place of Publication:
- London : SAGE Publications Ltd, 2025.
- Summary:
- This dataset is designed for learning how to avoid p-hacking in Null Hypothesis Significance testing (NHST). p-Hacking is the selective reporting of p-values. Understanding what p-hacking is and avoiding it within research practice is both ethical and professional. This guide outlines what p-hacking is and what it involves, including how to avoid doing it. The Null Hypothesis Significance Testing (NHST) approach to data can unintentionally encourage p-hacking so it is important to understand the links between the two. The dataset is a subset of data derived from the Natsal-3 Open Access Teaching Dataset (2010-12). The dataset file is accompanied by a Student Guide and a How-to Guide for IBM® SPSS®.
- Notes:
- Description based on publisher supplied metadata and other sources.
- ISBN:
- 1-03-622252-7
- 9781036222529
- OCLC:
- 1523168984
The Penn Libraries is committed to describing library materials using current, accurate, and responsible language. If you discover outdated or inaccurate language, please fill out this feedback form to report it and suggest alternative language.