<?xml version="1.0" encoding="utf-8" standalone="yes"?><rss version="2.0" xmlns:atom="http://www.w3.org/2005/Atom"><channel><title>Longitudinal Analysis |</title><link>https://johannesjohansson.com/tags/longitudinal-analysis/</link><atom:link href="https://johannesjohansson.com/tags/longitudinal-analysis/index.xml" rel="self" type="application/rss+xml"/><description>Longitudinal Analysis</description><generator>HugoBlox Kit (https://hugoblox.com)</generator><language>en-us</language><lastBuildDate>Mon, 28 Dec 2026 00:00:00 +0000</lastBuildDate><image><url>https://johannesjohansson.com/media/icon_hu_1151ae2ce54243dc.png</url><title>Longitudinal Analysis</title><link>https://johannesjohansson.com/tags/longitudinal-analysis/</link></image><item><title>Frame Dynamics: Deficits and Opportunities: A Longitudinal Perspective</title><link>https://johannesjohansson.com/publications/frame-dynamics-deficits-opportunities/</link><pubDate>Mon, 28 Dec 2026 00:00:00 +0000</pubDate><guid>https://johannesjohansson.com/publications/frame-dynamics-deficits-opportunities/</guid><description>&lt;p&gt;Manuscript under review. Presented at the &lt;strong&gt;ICA Annual Conference, 2021&lt;/strong&gt;.&lt;/p&gt;
&lt;p&gt;This paper advances framing theory by treating frames not as fixed textual categories, but as dynamic structures that vary across time, media contexts, and forms of presentation. Using a longitudinal dynamic topic-modeling design, it examines how issue emphases and lexical perspectives develop across a decade of Swedish news coverage. The contribution is both theoretical and methodological: it develops a framework for studying framing environments as temporally, contextually, and interactionally conditioned processes.&lt;/p&gt;</description></item><item><title>Maintenance and Reformation of News Repertoires: A Latent Transition Analysis</title><link>https://johannesjohansson.com/publications/news-repertoires-latent-transition/</link><pubDate>Sat, 01 Jan 2022 00:00:00 +0000</pubDate><guid>https://johannesjohansson.com/publications/news-repertoires-latent-transition/</guid><description>&lt;p&gt;Published article. Presented at the &lt;strong&gt;ICA Annual Conference, 2021&lt;/strong&gt;.&lt;/p&gt;
&lt;p&gt;The article’s analytical strategy combines latent class identification, transition modeling, and mover/stayer analysis with conditional estimation of repertoire membership on covariates, allowing the study to show not only which news repertoires exist and how stable they are, but also what predicts belonging to and remaining within them.&lt;/p&gt;</description></item></channel></rss>