Still Mad About CD Prices<p>A post from August 2024 by <span class="h-card" translate="no"><a href="https://mastodon.social/@grimalkina" class="u-url mention" rel="nofollow noopener noreferrer" target="_blank">@<span>grimalkina</span></a></span>, boosted by someone on another instance, about why to report demographics in research even when you're not studying those groups. This seems like a great primer for people who have little background in basic <a href="https://infosec.exchange/tags/sampling" class="mention hashtag" rel="nofollow noopener noreferrer" target="_blank">#<span>sampling</span></a> and <a href="https://infosec.exchange/tags/generalization" class="mention hashtag" rel="nofollow noopener noreferrer" target="_blank">#<span>generalization</span></a> (for some reason I can't link/boost from here, so):</p><p><a href="https://mastodon.social/@grimalkina/112966685297897685" rel="nofollow noopener noreferrer" translate="no" target="_blank"><span class="invisible">https://</span><span class="ellipsis">mastodon.social/@grimalkina/11</span><span class="invisible">2966685297897685</span></a></p><p>My 2 cents (already at least partially covered by Dr. Hicks): </p><p>1. Your study is never just about your study. Good science is <a href="https://infosec.exchange/tags/open" class="mention hashtag" rel="nofollow noopener noreferrer" target="_blank">#<span>open</span></a> and reusable. e.g., maybe your study on tech-enabled healthcare access isn't specifically about LGBTQ+ or Hispanic people, but what are you doing to help a researcher who comes along in 10 years? That information will change what they find and report.</p><p>2. Marginalized groups are often minorities, meaning representative probability samples (or --uncomfortable gesture-- convenience samples) for bread-and-butter research frequently have subpopulations too small for reasonable power in correlations, group differences, etc. That's just reality. It's also a big problem for our understanding of <a href="https://infosec.exchange/tags/marginalized" class="mention hashtag" rel="nofollow noopener noreferrer" target="_blank">#<span>marginalized</span></a> + <a href="https://infosec.exchange/tags/minority" class="mention hashtag" rel="nofollow noopener noreferrer" target="_blank">#<span>minority</span></a> groups. Oversampling or targeted studies of those groups are important. It's also important to have a large number of less-targeted studies with relevant information that can be synthesized later (see #1): one study with 1.3% trans participants doesn't tell us much about the trans population, but 20 studies, each of which has 1.3% trans participants, could tell us meaningful things.</p><p>3. Representation is important. My belief is that <a href="https://infosec.exchange/tags/marginalized" class="mention hashtag" rel="nofollow noopener noreferrer" target="_blank">#<span>marginalized</span></a>+minoritized people need their identities and existence public and constant. In <a href="https://infosec.exchange/tags/science" class="mention hashtag" rel="nofollow noopener noreferrer" target="_blank">#<span>science</span></a>, both they and other people consuming the research will benefit from being reminded that they are there, almost always, in our <a href="https://infosec.exchange/tags/research" class="mention hashtag" rel="nofollow noopener noreferrer" target="_blank">#<span>research</span></a>.</p>