JASP Statistics

@JASPStats

JASP is an open-source statistics program that is free, friendly, and flexible. Armed with an easy-to-use GUI, JASP allows both classical and Bayesian analyses.

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  1. JASP Statistics@JASPStats
    We are proud of this book. Note the 30% discount for community members!
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  2. JASP Statistics@JASPStats
    A new blog post! (this is one of the last JASP announcements on X, since we are switching completely to Bluesky)
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  3. JASP Statistics@JASPStats
    Predictive analytics for quality control in JASP!
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  4. JASP Statistics@JASPStats
    JASP Statistics
    RT @BartosFra: We are in the final phases of preparing a new update of @JASPStats. I'm creating examples for the completely revamped Meta-Analysis module - check out how stunning forest and funnel plots can be created with only a couple of mouse clicks! #metaanalysis
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  5. JASP Statistics@JASPStats
    JASP Statistics
    RT @mzloteanu: Completely missed the release of this "Robust Bayesian t-test" module by @MaxMa1er in @JASPStats. It uses Bayesian Model Averaging (8 models; equal/unequal var + normal/robust tests) to quantify relative evidence (BFs). Nice mini #multiverse analysis.
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  6. JASP Statistics@JASPStats
    JASP 0.19 has extensive functionality for making raincloud plots! Will they replace the bar plot and line plot in statistical reporting?
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  7. JASP Statistics@JASPStats
    Don's plans for JASP, courtesy of
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  8. JASP Statistics@JASPStats
    A final reminder as the workshop season draws near. Two workshops in Amsterdam (with Richard Morey and Michael Lee)
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  9. JASP Statistics@JASPStats
    Mark Goss-Sampson has updated his free JASP user guide!
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  10. JASP Statistics@JASPStats
    Bayesian State Space models in JASP! A blog post by Fridtjof Petersen.
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  11. JASP Statistics@JASPStats
    Over 310 professors and students across 69 countries have let us know that JASP is used to teach courses at their university. Is your university missing from the map? Please let us know at communications@jasp-stats.org!
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