https://rhyannonjoy.github.io/agent-ecosystem-glossary/research/Recent content in Research on Agent Ecosystem GlossaryHugoen-ushttps://rhyannonjoy.github.io/agent-ecosystem-glossary/research/qualitative/Mon, 01 Jan 0001 00:00:00 +0000https://rhyannonjoy.github.io/agent-ecosystem-glossary/research/qualitative/<h1 id="qualitative-analysis">Qualitative Analysis<a class="anchor" href="#qualitative-analysis">#</a></h1> <p>Methods for collecting and processing non-numerical data including interviews, observations, and open-ended text - to understand meaning, experience, and context behind agent behavior.</p> <hr> <h2 id="affinity-mapping">affinity mapping<a class="anchor" href="#affinity-mapping">#</a></h2> <p><strong>Definition</strong>: qualitative research method for organizing and grouping related ideas or observations; participants sort data points - notes, quotes, themes - into clusters based on natural relationships</p> <p><strong>Purpose</strong>: commonly used in UX research and design thinking to synthesize findings into identifiable patterns</p> <p><strong>Related Terms</strong>: <a href="https://rhyannonjoy.github.io/agent-ecosystem-glossary/research/qualitative/#codebook">codebook</a>, <a href="https://rhyannonjoy.github.io/agent-ecosystem-glossary/research/qualitative/#qualitative-research">qualitative research</a>, <a href="https://rhyannonjoy.github.io/agent-ecosystem-glossary/research/qualitative/#synthesis">synthesis</a></p>https://rhyannonjoy.github.io/agent-ecosystem-glossary/research/quantitative/Mon, 01 Jan 0001 00:00:00 +0000https://rhyannonjoy.github.io/agent-ecosystem-glossary/research/quantitative/<h1 id="quantitative-methods">Quantitative Methods<a class="anchor" href="#quantitative-methods">#</a></h1> <p>Statistical tools used to model data, test hypotheses, and quantify uncertainty when evaluating agentic systems.</p> <hr> <h2 id="cohens-kappa-coefficient">Cohen&rsquo;s kappa coefficient<a class="anchor" href="#cohens-kappa-coefficient">#</a></h2> <p><strong>Definition</strong>: statistical measure of inter-rater agreement for categorical items; quantifies the level of agreement between two raters while accounting for chance agreement</p> <p><strong>Purpose</strong>: verifies that a codebook is applied consistently across raters, supporting the reliability of qualitative coding</p> <p><strong>Related Terms</strong>: <a href="https://rhyannonjoy.github.io/agent-ecosystem-glossary/research/qualitative/#codebook">codebook</a>, <a href="https://rhyannonjoy.github.io/agent-ecosystem-glossary/research/qualitative/#qualitative-research">qualitative research</a></p> <hr> <h2 id="confidence-interval">confidence interval<a class="anchor" href="#confidence-interval">#</a></h2> <p><strong>Definition</strong>: range of values likely to contain the true effect size, given the statistical model&rsquo;s assumptions; commonly reported as a <em>95% confidence interval</em> - if computed repeatedly under valid conditions, 95% of such intervals will contain the true value</p>