<?xml version="1.0" encoding="utf-8" standalone="yes"?><rss version="2.0" xmlns:atom="http://www.w3.org/2005/Atom" xmlns:content="http://purl.org/rss/1.0/modules/content/"><channel><title>Methods on Juan Vidal-Perez</title><link>https://juan-vidalperez.github.io/website/tags/methods/</link><description>Recent content in Methods on Juan Vidal-Perez</description><generator>Hugo -- 0.147.2</generator><language>en</language><lastBuildDate>Tue, 16 Sep 2025 00:00:00 +0000</lastBuildDate><atom:link href="https://juan-vidalperez.github.io/website/tags/methods/index.xml" rel="self" type="application/rss+xml"/><item><title>Learning asymmetry or perseveration? A critical re-evaluation andsolution to a pervasive confound (preprint)</title><link>https://juan-vidalperez.github.io/website/papers/modelmimicry/</link><pubDate>Tue, 16 Sep 2025 00:00:00 +0000</pubDate><guid>https://juan-vidalperez.github.io/website/papers/modelmimicry/</guid><description>This study demonstrates that standard methods often mistake simple repetition for complex learning biases, and introduces a robust new statistical test to accurately distinguish between the two. Preprint at psyArXiv</description></item></channel></rss>