<?xml version="1.0" encoding="utf-8" standalone="yes"?><rss version="2.0" xmlns:atom="http://www.w3.org/2005/Atom"><channel><title>Quantitative methods | JD Leongómez</title><link>https://jdleongomez.info/en/tag/quantitative-methods/</link><atom:link href="https://jdleongomez.info/en/tag/quantitative-methods/index.xml" rel="self" type="application/rss+xml"/><description>Quantitative methods</description><generator>Wowchemy (https://wowchemy.com)</generator><language>en-gb</language><copyright>© 2018-2026 Juan David Leongómez</copyright><lastBuildDate>Thu, 07 May 2026 00:00:00 +0000</lastBuildDate><image><url>https://jdleongomez.info/media/portada.jpg</url><title>Quantitative methods</title><link>https://jdleongomez.info/en/tag/quantitative-methods/</link></image><item><title>Just-N Framework: Interactive Application</title><link>https://jdleongomez.info/en/shiny/just_n_app/</link><pubDate>Thu, 07 May 2026 00:00:00 +0000</pubDate><guid>https://jdleongomez.info/en/shiny/just_n_app/</guid><description>&lt;p>&lt;strong>Just-N Framework: Interactive Application&lt;/strong> is a Shiny app that guides researchers from any discipline in deciding, applying, and justifying the most appropriate sample size strategy for their study, whether quantitative, qualitative, or mixed-methods. It runs entirely in the browser via &lt;a href="https://shiny.posit.co/py/docs/shinylive.html" target="_blank" rel="noopener">Shinylive&lt;/a> (WebAssembly): no server or R installation required.&lt;/p>
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&lt;a href="https://jdleongomez.github.io/just_n_app/"
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▶️ Open app
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&lt;a href="https://github.com/JDLeongomez/just_n_app"
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📂 GitHub repository
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&lt;a href="https://doi.org/10.5281/zenodo.19860616"
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🔗 DOI: 10.5281/zenodo.19860616
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&lt;h2 id="app-contents">App contents&lt;/h2>
&lt;p>The application is organised into five tabs:&lt;/p>
&lt;ul>
&lt;li>&lt;strong>Introduction&lt;/strong>: explains why justifying sample size is a central methodological decision, and provides an initial navigation guide.&lt;/li>
&lt;li>&lt;strong>Quantitative&lt;/strong>: a parameterised decision tree leading to one of five strategies &amp;ndash; SESOI/statistical power (&lt;em>a priori&lt;/em>), estimation precision (confidence intervals), sequential/adaptive designs, prior evidence and comparability, and cost-benefit analysis &amp;ndash; each with interactive calculators (&lt;code>pwr&lt;/code>, Fisher-z) and, for SESOI, Monte Carlo simulations.&lt;/li>
&lt;li>&lt;strong>Qualitative&lt;/strong>: a decision tree for five strategies (theoretical or data saturation, diversity and representativeness, community-based participatory research (CBPR), feasibility and ethical commitments, and narrative justification) with methodological guides and citable references per strategy.&lt;/li>
&lt;li>&lt;strong>Mixed&lt;/strong>: guidance for designs combining quantitative and qualitative components.&lt;/li>
&lt;li>&lt;strong>References&lt;/strong>: full bibliography (~88 sources) with APA metadata.&lt;/li>
&lt;/ul>
&lt;h2 id="complementary-resource">Complementary resource&lt;/h2>
&lt;p>This app is the interactive version of the static document &lt;a href="https://jdleongomez.github.io/just_n/" target="_blank" rel="noopener">&lt;strong>Just-N Framework&lt;/strong>&lt;/a>, which presents the same strategies in table format with linked references. Both resources are self-contained and can be used independently.&lt;/p>
&lt;h2 id="cite">Cite&lt;/h2>
&lt;blockquote>
&lt;p>Leongómez, J. D. (2026). &lt;em>Just-N Framework: Interactive Application&lt;/em> (v1.0). Zenodo. &lt;a href="https://doi.org/10.5281/zenodo.19860616" target="_blank" rel="noopener">https://doi.org/10.5281/zenodo.19860616&lt;/a>&lt;/p>
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