#statstab #186 Are Multiple Contrast Tests Superior to the ANOVA? Thoughts: Focuses more on the statistical aspects of the comparison than the theoretical ones. But insightful for newbies. #nhst #anova #ttest #errorcontrol #typeI #pvalues degruyter.com/document/doi/1…

#statstab #181 P-values as percentiles Thoughts: "The percentile heuristic is a more accurate model [] for interpreting observed p-values." #pvalues #frequentist #QRPs #stats #NHST doi.org/10.3389%2Ffpsy…

How likely are your results due to chance? P-Values measure the statistical significance of your findings. 📉📊 #PValues #Statistics #Research #MentalModels #DataScience #EvidenceBased #CriticalThinking

#statstab #168 Large P-Values Cannot be Explained by Power Analysis Thoughts: "Researchers cannot “aim” for p = .05, not even with a careful, perfectly accurate, power analysis." #research #nhst #pvalues #power #QRPs #phacking quentinandre.net/post/large-pva…

Data normality #DataNormality #StatisticalAnalysis #ShapiroWilkTest #KolmogorovSmirnovTest #DataScience #pvalues youtu.be/tSZHGfWYAOE?si…

#statstab #165 Approximate Objective Bayes Factors From P-Values and Sample Size: The 3p√n Rule Thoughts: p-values can't quantify evidence, but maybe if we apply a transformation they can? Is JAB_01 the future? Debate! #nhst #pvalues #bayesfactors osf.io/preprints/psya…

#statstab #156 Exact and asymptotic p-values Thoughts: An important stats lesson is to be specific with terms. Exact p-values are not the same as asymptotic p-values (what most tests report w/o specifying). #pvalues #nhst #permutation #randomization analyse-it.com/docs/user-guid…

#PSA: if your study doesn't have 1. a random sample, and 2. randomization to the experimental condition, then using a p-value for your decision-making metric is nonsense. #pvalues #causalinference #qrp #observationalresearch

#statstab #137 How often do different statistical [assumption] tests agree? Thoughts: An issue with the "typical" (but illogical, to me) approach to assumption checks is that the choice of test also matters. #decisionmaking #nhst #pvalues #assumptions blogs.sas.com/content/iml/20…

#statstab #135 {p-checker} The one-for-all p-value analyzer Thoughts: Why not try your hand at some tools for detecting publication bias (mileage may vary). Useful teaching demo tools. #shinyapp #r #rstats #phacking #pvalues #NHST #education #edu shinyapps.org/apps/p-checker/

#statstab #134 A New Look at P Values for Randomized Clinical Trials Thoughts: For obs research, empirically calibrated p-values might be the only way forward. But should we have them per field also? #medicine #health #pvalues #datascience #statistics evidence.nejm.org/doi/full/10.10…

#statstab #133 p-Curve and p-Hacking in Observational Research Thoughts: "p-values in observational research may need to be empirically calibrated to be interpretable", or you know, stop using them in obs research 🤷‍♂️ #research #pvalues #observational journals.plos.org/plosone/articl…

#statstab #132 P-Values are Random Variables Thoughts: Ever-confusing, p-values are the bain of intro research method students. Maybe simulation is the key. #stats #education #pvalues #NHST #simulation #edutwitter #psychology #statistics jstor.org/stable/27644033

#TrafimowAlternative-1 [BickelTesting IoannidisPowerFailure MakinOrbanDeXivry ScientificMethod Statistics WassersteinLazar] Econometrics 2019, 7, 26 Frequentist Alternative to Significance Testing, #pValues and Confidence Intervals David Trafimow (New Mexico State University)

#statstab #127 Optimal test procedures for multiple hypotheses controlling the familywise expected loss Thoughts: Can't wait to see papers defining their own loss functions to control error rates 🙄. #errorcontrol #typeI #NHST #pvalues #stats onlinelibrary.wiley.com/doi/10.1111/bi…

#statstab #107 Robust misinterpretation of confidence intervals Thoughts: Stats comprehension and communication is difficult. But CIs are clearly a better option (esp plotting them) #NHST #pvalues #datascience #statistics link.springer.com/article/10.375…

#statstab #90 Improving the utility of non-significant results [...] Thoughts: OK overview, but a fairly naive take on what to do with non-sig results. Also, plz don't just report #bayesfactors and call it a day! #pvalues #NHST #frequentist #education sciencedirect.com/science/articl…

💥 "Step away from stepwise" RT ᴅʀ ᴍɪʀᴄᴇᴀ ᴢʟᴏᴛᴇᴀɴᴜ 🌻 La regresión por pasos (stepwise) NO es una herramienta recomendada para la selección de variables explicativas en un modelo de regresión múltiple. buff.ly/4b4Bvdo #analytics #datascience #stats #rstats #pvalues #regression #phd

#statstab #88 Quantifying evidence against a null-model with p-values Thoughts: A comprehensive explanation (w notation) of #pvalues. It shows just why "getting" what p-values are can be tricky. Simple definitions don't cut it. #stats #NHST #hypothesis michael-franke.github.io/intro-data-ana…

#statstab #83 Inferential Statistics as Descriptive Statistics: No Replication Crisis if We Don’t Expect Replication Thoughts: Finding a good reporting standards is challenging. I like the paper's overview and couched suggestions. #pvalues #nhst #QRPs tandfonline.com/doi/full/10.10…