<?xml version="1.0" encoding="utf-8" standalone="yes"?><rss version="2.0" xmlns:atom="http://www.w3.org/2005/Atom"><channel><title>Secondary Data Analysis on Sara Weston</title><link>https://sarajweston.com/tags/secondary-data-analysis/</link><description>Recent content in Secondary Data Analysis on Sara Weston</description><generator>Hugo</generator><language>en-us</language><lastBuildDate>Fri, 01 Jan 2021 00:00:00 +0000</lastBuildDate><atom:link href="https://sarajweston.com/tags/secondary-data-analysis/index.xml" rel="self" type="application/rss+xml"/><item><title>Preregistration of secondary data analysis: A template and tutorial</title><link>https://sarajweston.com/publication/van-den-akker-preregistration-2021/</link><pubDate>Fri, 01 Jan 2021 00:00:00 +0000</pubDate><guid>https://sarajweston.com/publication/van-den-akker-preregistration-2021/</guid><description>A 25-question preregistration template written for analyses of existing data, with guidance on each question and a worked example. It asks researchers to disclose what they already know about a dataset before they test a hypothesis.</description></item><item><title>Developmental cognitive neuroscience initiatives for advancements in methodological approaches: Registered Reports and Next-Generation Tools</title><link>https://sarajweston.com/publication/pfeifer-developmental-2020/</link><pubDate>Wed, 01 Jan 2020 00:00:00 +0000</pubDate><guid>https://sarajweston.com/publication/pfeifer-developmental-2020/</guid><description>An editorial introducing two new article types at Developmental Cognitive Neuroscience, Registered Reports and Next-Generation Tools, with attention to secondary analyses of large existing datasets.</description></item><item><title>Recommendations for Increasing the Transparency of Analysis of Preexisting Data Sets</title><link>https://sarajweston.com/publication/weston-recommendations-2019/</link><pubDate>Fri, 08 Aug 2025 04:41:45 +0000</pubDate><guid>https://sarajweston.com/publication/weston-recommendations-2019/</guid><description>Open-science reforms were built around newly collected data. We describe how researchers who analyze preexisting data can be transparent about what they knew in advance and test how well their results hold up.</description></item></channel></rss>