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    <title>Bayesian estimation on Nils Myszkowski, PhD</title>
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      <title>Bayesian Estimation of Generalized Log-Linear Poisson Item Response Models for Fluency Scores Using brms and Stan</title>
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      <pubDate>Sun, 23 Feb 2025 00:00:00 +0000</pubDate>
      
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      <description>What it&amp;rsquo;s about   In this paper, we present a Bayesian estimation workflow for generalized log-linear Poisson item-response models applied to fluency scores in divergent-thinking assessment, with practical implementation using brms and Stan.
Abstract   Divergent-thinking tests often rely on fluency scores (counts of ideas generated per prompt), and these counts can be modeled with Poisson item-response models. This paper revisits the Rasch Poisson Counts Model and its generalized two-parameter extension (2PPCM), and shows how both can be estimated in a Bayesian multilevel regression framework through brms (Stan backend).</description>
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