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  📢 Excited about our (Louisa Kulke & Fatima Felisberti) new paper in Motivation & Emotion! It echoes a theme from my recent ISRE talk: rigorous methods, precise estimates, and theory-driven predictions are essential if we want cumulative emotion science. #emotion #bayesian #empathy #jasp #OpenScience #Preregistration #opendata #opencode https://link.springer.com/article/10.1007/s11031-026-10266-x

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  #statstab #519 Sensitivity Analysis and Robustness Checks Thoughts: Multiverse analysis allows you to capture decision uncertainty. #multiverse #jackknife #bias #robustness #sensitivity #r #outliers https://mike-data-analysis.share.connect.posit.cloud/sensitivity-analysis-and-robustness-checks.html

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  #statstab #520 Reverse‐Bayes methods for evidence assessment and research synthesis Thoughts: I was reminded of this paper on assessing the evidentiary value of a finding. What do ppl think? #bayes #inference #evidence #probability #priors #sensitivity https://doi.org/10.1002/jrsm.1538

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  #statstab #522 Bayes Rules! Different priors, different posteriors Thoughts: Nice illustration of how uninformative and informative priors change your posterior. #bayesian #dataviz #bayes #inference #sensitivity #priors https://www.bayesrulesbook.com/chapter-4#ch4-priors

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  🚨 Come to iIIRG 2026 to hear our talk about better methods to analysing interview data! W/ Dr Cody Porter and @mattansb #belgium #conference #methods #investigativeinterview

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  #524 Interactions in Logit Regressions: Why Positive May Mean Negative Thoughts: Nonlinear models require a bit more caution for new researchers when making inferences. #logit #inference #causalinference #interaction #datacolada https://datacolada.org/57

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  #statstab #525 What Good Is a Regression? Inference to the Best Explanation and the Practice of Political Science Research Thoughts: It's interesting to see how other fields consider the problem of knowledge generation #polisci #epistemology #inference https://www.journals.uchicago.edu/doi/epdf/10.1086/734280

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  #statstab #531 Using Extant Data to Improve Estimation of the Standardized Mean Difference Thoughts: I wonder if it's a good idea. Any edu/clinical people to chime in? Seems like using historic data. #smd #estimation #effectsize #variance #extantdata https://journals.sagepub.com/doi/10.3102/10769986241238478

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  #statstab #523 Pre/Post design: the fallacy of comparing difference scores Thoughts: Another easy read on pre-post design and some concerns about change scores. #education #guide #prepost #ancova #change #ttest #design https://garstats.wordpress.com/2026/02/20/prepost/