<?xml version="1.0" encoding="UTF-8"?><rss xmlns:dc="http://purl.org/dc/elements/1.1/" xmlns:content="http://purl.org/rss/1.0/modules/content/" xmlns:atom="http://www.w3.org/2005/Atom" version="2.0"><channel><title><![CDATA[R Psychologist RSS feed (last 10 posts)]]></title><description><![CDATA[Kristoffer Magnusson's blog]]></description><link>https://rpsychologist.com</link><generator>GatsbyJS</generator><lastBuildDate>Sun, 02 Nov 2025 14:01:14 GMT</lastBuildDate><item><title><![CDATA[Introducing PowerLMM.js: Browser-based power analysis for longitudinal models with dropout]]></title><description><![CDATA[Power analysis for longitudinal LMMs is often challenging because results depend heavily on parameters such as random slopes and on the…]]></description><link>https://rpsychologist.com/introducing-powerlmmjs</link><guid isPermaLink="false">https://rpsychologist.com/introducing-powerlmmjs</guid><pubDate>Wed, 11 Dec 2024 17:00:00 GMT</pubDate></item><item><title><![CDATA[The Cohen's d app translation project]]></title><description><![CDATA[My  Cohen's  d  page  supports multiple languages, any help with translating the contents into more languages is very welcome. The contents…]]></description><link>https://rpsychologist.com/cohens-d-translation-project</link><guid isPermaLink="false">https://rpsychologist.com/cohens-d-translation-project</guid><pubDate>Sat, 29 Oct 2022 07:37:00 GMT</pubDate></item><item><title><![CDATA[Why linear mixed-effects models are probably not the solution to your missing data problems]]></title><description><![CDATA[Linear mixed-effects models are often used for their ability to handle missing data using maximum likelihood estimation. In this post I will…]]></description><link>https://rpsychologist.com/lmm-slope-missingness</link><guid isPermaLink="false">https://rpsychologist.com/lmm-slope-missingness</guid><pubDate>Thu, 09 Jul 2020 15:00:00 GMT</pubDate></item><item><title><![CDATA[Heterogeneous treatment effects and homogeneous outcome variances]]></title><description><![CDATA[Recently there has been a couple of meta-analyses investigating heterogeneous treatment effects by analyzing the ratio of the outcome…]]></description><link>https://rpsychologist.com/HTE-variance-ratio</link><guid isPermaLink="false">https://rpsychologist.com/HTE-variance-ratio</guid><pubDate>Fri, 10 Jan 2020 19:00:00 GMT</pubDate></item><item><title><![CDATA[Mediation, confounding, and measurement error]]></title><description><![CDATA[Mediation might be the ultimate example of how a method continues to be used despite a vast number of papers and textbooks describing the…]]></description><link>https://rpsychologist.com/mediation-confounding-ME</link><guid isPermaLink="false">https://rpsychologist.com/mediation-confounding-ME</guid><pubDate>Wed, 09 Oct 2019 17:00:00 GMT</pubDate></item><item><title><![CDATA[Change over time is not "treatment response"]]></title><description><![CDATA[This will be a non-technical post illustrating the problems with identifying treatment responders or non-responders using inappropriate…]]></description><link>https://rpsychologist.com/treatment-response-subgroup</link><guid isPermaLink="false">https://rpsychologist.com/treatment-response-subgroup</guid><pubDate>Mon, 19 Nov 2018 18:20:00 GMT</pubDate></item><item><title><![CDATA[New paper: The consequences of ignoring therapist effects in longitudinal data analysis]]></title><description><![CDATA[We just published a paper,  The consequences of ignoring therapist effects in trials with longitudinal data: A simulation study , where we…]]></description><link>https://rpsychologist.com/therapists-effects-longitudinal</link><guid isPermaLink="false">https://rpsychologist.com/therapists-effects-longitudinal</guid><pubDate>Fri, 24 Aug 2018 13:15:00 GMT</pubDate></item><item><title><![CDATA[Estimating treatment effects and ICCs from (G)LMMs on the observed scale using Bayes, Part 1: lognormal models]]></title><description><![CDATA[When a  multilevel  model includes either a non-linear transformation (such as the log-transformation) of the response variable, or of the…]]></description><link>https://rpsychologist.com/GLMM-part1-lognormal</link><guid isPermaLink="false">https://rpsychologist.com/GLMM-part1-lognormal</guid><pubDate>Sun, 05 Aug 2018 12:55:00 GMT</pubDate></item><item><title><![CDATA[Do you really need a multilevel model? A preview of powerlmm 0.4.0]]></title><description><![CDATA[In this post I will show some of the new simulation features that will be available in  powerlmm 0.4.0 . You can already install the dev…]]></description><link>https://rpsychologist.com/do-you-need-multilevel-powerlmm-0-4-0</link><guid isPermaLink="false">https://rpsychologist.com/do-you-need-multilevel-powerlmm-0-4-0</guid><pubDate>Fri, 04 May 2018 12:55:00 GMT</pubDate></item><item><title><![CDATA[Power analysis for longitudinal multilevel models: powerlmm 0.3.0 is now out on CRAN]]></title><description><![CDATA[My R package  powerlmm  0.3.0 is now out on CRAN. It can be installed from CRAN  https://cran.r-project.org/package=powerlmm  or GitHub…]]></description><link>https://rpsychologist.com/powerlmm-0-3-0</link><guid isPermaLink="false">https://rpsychologist.com/powerlmm-0-3-0</guid><pubDate>Tue, 17 Apr 2018 20:38:00 GMT</pubDate></item></channel></rss>