#statstab #499 SIMPLICITY AND COMPLEXITY IN ECOLOGICAL DATA ANALYSIS

Thoughts: I dislike this paper, but I don't mind sharing views that disagree with my own. Effective communication matters.

#analysis #critique #critical #ANOVA #ttest #simplicity #communication

doi.org/10.1890/0012...

This is an earlier post/prose/piece I made on #Substack about my academic journey, trans journey, and what the t-distribution taught me about gender: "The Probable Error of a Man." #trans #statistics #wordplay #ttest #WilliamSealyGosset #Guinness #gender #academia #personalblog

#statstab #460 {permuco} permutation tests in linear models with nuisances variables

Thoughts: Supports ANOVA, ANCOVA, t-tests and more.

#permutation #randomization #ANOVA #rstats #r #pvalues #ancova #ttest

jaromilfrossard.github.io/permuco/inde...

Correlation *is* causation! - at least mathematically

“Correlation is causation” 😈
New #substack going over the maths of correlation, t-test, and linear models. open.substack.com/pub/mzlotean...

#correlation #causalinference #effects #pearson #ttest

S. Senn: Testing Times (Guest post) Stephen Senn Consultant Statistician Edinburgh, Scotland Testing Times Screening for attention There has been much comment on Twitter and other social media about testing for coronavirus and…

#statstab #424 Testing time: Carey-over effects and the (faulty) two-stage procedure

Thoughts: An interesting post by Stephen Senn on how some "solutions" in testing make matters worse.

#ttest #carryover #selection #history #design #methods

errorstatistics.com/2020/10/28/s...

Royal Statistical Society Publications Stephen Senn describes the t-test, whose centenary he has celebrated in the previous article.

#statstab #406 The t-test tool

Thoughts: "Stephen Senn describes the t-test, whose centenary he has celebrated in the previous article." @stephensenn.bsky.social

#ttest #statistics #history #studentsttest #Gosset

rss.onlinelibrary.wiley.com/doi/full/10....

#statstab #364 Distribution of Cohen's d, p-values, and power curves for an independent two-tailed t-test

Thoughts: Useful for explaining why we use 5% alpha and what power does to p-values.

#shiny #education #pvalue #power #simulation #ttest #cohend

shinyapps.org/showapp.php?...

#statstab #317 Tests for Pairwise Mean Differences in R
by @timmastny.bsky.social

Thoughts: A nice illustration of what {emmeans} is doing when computing contrasts using various functions.

#emmeans #r #pairwise #ttest #tutorial #dataviz

timmastny.com/blog/tests-p...

#NicelYöntem #NicelAraştırma #BilimselAraştırma #DoktoraTezi #TezYazımı #BilimselÇalışmalar #YüksekLisansTezi #Makale #Bildiri #AraştırmaYöntemleri #TezNasılYazılır #PratikBilgiler #AkademikDestek #İstatistik #verianalizi #ttest #MakaleYazımı

Gönderide reklam, işbirliği veya tanıtım yoktur.

#ttest #tekörneklem #istatistik #analiz #doktoratezi #yükseklisanstezi #bildiri #makale #akademikhayat

#ttest #tekörneklem #istatistik #analiz #doktoratezi #yükseklisanstezi #bildiri #makale #akademikhayat

#ttest #tekörneklem #istatistik #analiz #doktoratezi #yükseklisanstezi #bildiri #makale #akademikhayat

#ttest #tekörneklem #istatistik #analiz #doktoratezi #yükseklisanstezi #bildiri #makale #akademikhayat

Supplementary material: A Tutorial on Safe Anytime-Valid Inference: Practical Maximally Flexible Sampling Designs for Experiments Based on e-Values Hosted on the Open Science Framework

#statstab #308 A Tutorial on Safe Anytime-Valid Inference [t-test]

Thoughts: Safe Anytime Valid Inferences (SAVI) are the future for frequentist stats. Since #253 I'm more convinced.

#SafeAnytimeValidInference #SAVI #evalues #likelihood #evidence #ttest

osf.io/mdbqe/

When Your Permutation Test is Doomed to Fail A two-tailed test comparing the means of two independent populations is perhaps the most commonly used hypothesis test in quantitative research, featured centrally in medical research, A/B testing,...

#statstab #303 When Your Permutation Test is Doomed to Fail

Thoughts: Permutation tests are great, except for when they're not. Skewed data + unbalanced samples.

#stats #permutation #ABtesting #ttest #power #skewed

doi.org/10.1080/0003...

PS: 📅 #HELPLINE. Want to discuss your article? Need help structuring your story? Make a date with the editors of Low Code for Data Science via Calendly → calendly.com/low-code-blo...

#datascience #hranalytics #statistics #ttest #anova #KNIME #lowcode #nocode #opensource #visualprogramming

#statstab #271 {bruceR} package

Thoughts: Useful functions for psychologists. I like how it treats t-tests, giving all the options from Lakens (2013) for Cohen's d, and comparison with other software.

#r #psychology #ttest #PCA #ANOVA #education

psychbruce.github.io/bruceR/refer...

Effect size measures in a two-independent-samples case with nonnormal and nonhomogeneous data - Behavior Research Methods In psychological science, the “new statistics” refer to the new statistical practices that focus on effect size (ES) evaluation instead of conventional null-hypothesis significance testing (Cumming, P...

#statstab #260 Effect size measures in a two-independent-samples case with nonnormal and nonhomogeneous data

Thoughts: "A_w and d_r were generally robust to these violations"

#robust #effectsize #ttest #2groups #metaanalysis #assumptions #ttest #cohend

link.springer.com/article/10.3...

Permutation tests are robust and powerful at 0.5% and 5% significance levels - Behavior Research Methods Recent replication crisis has led to a number of ad hoc suggestions to decrease the chance of making false positive findings. Among them, Johnson (Proceedings of the National Academy of Sciences, 110,...

#statstab #257 Permutation tests are robust and powerful at 0.5% and 5% significance levels

Thoughts: Permutation tests are cool and useful to learn, although they come with some quirks.

#permutation #randomization #ttest #ordinal #metricdata

link.springer.com/article/10.3...

The p-value and model specification in statistics The p value has been widely used as a way to summarise the significance in data analysis. However, misuse and misinterpretation of the p value is common in practice. Our result shows that if the model...

#statstab #255 The p-value and model specification in statistics

Thoughts: Little thought is given to the appropriateness of the test and its assumptions.

#pvalues #nhst #nullhypothesis #testing #ttest #fisher

gpsych.bmj.com/content/32/3...

Difference between independent samples t-test and paired samples t-test
#TTest
#StatisticalAnalysis
#MeanComparison
#HypothesisTesting
#IndependentSamplesTTest

What is the difference between independent samples t-test and ANOVA？
#tTest
#ANOVA
#HypothesisTesting
#GroupComparison
#StatisticalAnalysis

Yeh, I know this is just 忘年PR fluff but may I just shout out an exasperated “sample sizes” for the happy station rankings? Even the 10th and 1st ranked locations will not be significantly different for any reasonable amount of variation in the underlying data. 📈 #ttest

#DataAnalysis
#StatisticalSoftware
#DescriptiveStatistics
#InferentialStatistics
#DataVisualization
#RegressionAnalysis
#ANOVA
#ChiSquareTest
#TTest
#CorrelationAnalysis
#FactorAnalysis
#SPSSSyntax
#DataTransformation
#VariableView
#DataEditor
#Histogram
#BoxPlot
#DataCleaning
#SurveyAnalysis

When is the t-test appropriate?

▶️ In short, the t-test is needed when P values are required and there are no nuisance variables to control for nor covariates to adjust for.

In practice, having no nuisance variables/covariates to adjust for is relatively rare situation.

#stats #ttest #DoE

#statstab #208 Repeated Measures and Mixed Models

Thoughts: t-test vs ANCOVA, glm, Lord's paradox, mixed effects models, this post has it all! even causal DAGs a la Pearl!

#dag #ttest #ancova #lordsparadox #r

m-clark.github.io/docs/mixedMo...

Are Multiple Contrast Tests Superior to the ANOVA? Multiple contrast tests can be used to test arbitrary linear hypotheses by providing local and global test decisions as well as simultaneous confidence intervals. The ANOVA- F -test on the contrary ca...

#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

www.degruyter.com/document/doi...

#statstab #162 Post-hoc Contrasts by {rcompanion}

Thoughts: A good tutorial should always be shared. This goes step-by-step and provides options. Including plots.

#stats #emmeans #posthoc #ttest #nhst #r #dataviz #models

rcompanion.org/rcompanion/h...

How the Guinness Brewery Invented the Most Important Statistical Method in Science The most common test of statistical significance originated from the Guinness brewery. Here’s how it works

the most influential innovation to come out of the brewery has nothing to do with beer. It was the birthplace of the t-test, one of the most important statistical techniques in #science

#Ireland #Guinness #beer #math #stats #ttest #statistics #business

www.scientificamerican.com/article/how-...

#statstab #9 Francis (2017) Equivalent statistics and data interpretation

Thoughts: I've a love-hate relationship w the paper & app. It's *technically* true but promotes a bad stats argument. Still useful.

#stats #pvalues #ttest #effectsize #bayesfsctor
www1.psych.purdue.edu/~gfrancis/Eq...