#splitquestionnairedesigns

Live, measured metrics for the hashtag #splitquestionnairedesigns from the open social web. Every number carries a named source and the time it was fetched. Nothing is estimated.

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0
Uses / 7 days
Mastodon
0
Accounts / 7 days
Mastodon
2
Recent posts
Mastodon
~0/hr
Recent pace
Mastodon · last 2
0
Avg reactions / post
Mastodon · last 2
—
Reddit posts / month
Reddit search
—
Open-web mentions
hashtag.org Firehose

Day-by-day usage

measured · fosstodon.org (Mastodon public tags API) · fetched 2026-10-16 09:47 UTC
0
10-10
0
10-11
0
10-12
0
10-13
0
10-14
0
10-15
0
10-16

0 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 2026-10-16 09:47 UTC

No related tags with measured usage found for #splitquestionnairedesigns.

Live pulse

measured · fosstodon.org (Mastodon tag timeline) · fetched 2026-10-16 09:47 UTC

Everything below is measured over the latest 2 public posts (spanning ~726 hours).

Posting hours (UTC)

00:0012:0023:00

Languages: German (2)

Avg boosts / post: 0

Top of the latest posts

  • #GESISblog #blog #SplitQuestionnaireDesigns New blog post: Long questionnaires are a challenge for respondents and researchers alike. Split Questionnaire Designs offer a clever way to make surveys shorter. https://doi.org/10.34879/gesisblog

    GESIS@GESIS@sciences.social♥ 0↻ 02025-11-26 14:01 UTCView post →

  • #splitquestionnairedesigns #respondentbehaviour #SocialResearchMethodology Out now: Axenfeld, J. B., Bruch, C., & Wolf, C. (2025). Composition of core modules and item allocation in split questionnaire designs: impact on estimates from impu

    GESIS@GESIS@sciences.social♥ 0↻ 02025-10-27 08:00 UTCView post →

#splitquestionnairedesigns across platforms

every network with a public tag surface

Follow #splitquestionnairedesigns straight to each platform’s own tag page. Where a platform publishes open data we measure it above; the rest lock their numbers behind paid APIs, so we link rather than guess.

X (Twitter) ↗Instagram ↗TikTok ↗Facebook ↗LinkedIn ↗YouTube ↗Threads ↗Bluesky ↗Mastodon ↗Reddit ↗Pinterest ↗Tumblr ↗

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/splitquestionnairedesigns