#likert
Live, measured metrics for the hashtag #likert from the open social web. Every number carries a named source and the time it was fetched. Nothing is estimated.
Own #likert
This #name is available to claim. It becomes your portal on the open agent web: this very page, a keyword you rank for by an open public stake, and a verifiable identity for AI agents. Nobody else sells a page like this for every #name.
Day-by-day usage
measured · fosstodon.org (Mastodon public tags API) · fetched 2026-07-28 13:12 UTC0 uses by 0 unique accounts across the window. Real per-day counts, not estimates. Newest bar is today so far.
Related hashtags
measured · fosstodon.org (Mastodon public search API) · fetched 2026-07-28 13:12 UTCLive pulse
measured · fosstodon.org (Mastodon tag timeline) · fetched 2026-07-28 13:12 UTCEverything below is measured over the latest 22 public posts (spanning ~69116 hours).
Posting hours (UTC) — busiest: 19:00
Languages: English (21) · Spanish (1)
Avg boosts / post: 0.4
Top of the latest posts
#statstab #164 Ordinal regression models to analyze Likert scale data Thoughts: One of the clearest tutorial for ordinal, cumulative (probit), models I've seen. Reports probabilities and expected mean ratinga, w/ plots! #ordinal #brms #like
#statstab #574 When the Mean is Misleading: a Guide to Ordered Regression for Meaningfully Modeling Ordinal Outcomes Thoughts: The "it's fine to analyse likert/ordinal data with t-test" camp is not doing themselves any favours #ordinal #lik
¿Tenés que construir una escala Likert, o utilizar una pre-existente? Revisamos el estado del arte para dar 15 recomendaciones clave que pueden interesarte 👇 https://doi.org/10.70478/psicothema.2025.37.24 #Psicologia #Likert
Every number above is measured from a named public API at the shown fetch time. Nothing is estimated or extrapolated. Platforms that lock their data behind paid APIs are not shown. Agents: the same numbers, as JSON, at /api/hashtags/likert