Together with 87 other scientists I am co-author on a new paper in Nature Human Behavior. The paper is titled Justify your alpha and the abstract is as follows: In response to recommendations to redefine statistical significance to P ≤ 0.005, we propose that researchers should transparently report and justify all choices they make when […]
Category: statistics
Eksperimentel metode
Den eksperimentelle metode anses som værende guldstandarden inden for samfundsvidenskaberne. Dette fordi metoden giver mulighed for at belyse kausale sammenhænge. Eksperimentet går i al sin enkelthed ud på, at vi ved hjælp af randomisering – altså tilfældig inddeling – kan sandsynliggøre, om en stimulis har en effekt eller ej. Dette eksempelvis om en politik virker […]
Potpourri: Statistics #44
357. Fundamentals of Data Visualization 358. Analyze Survey Data for Free: Step by Step Instructions to Explore Public Microdata from an Easy to Type Website 359. Webcast: Machine Learning and Econometrics 360. Step-by-step introduction to quantitative text analysis using quanteda 361. Thinking Clearly About Correlations and Causation: Graphical Causal Models for Observational Data (article based […]
Potpourri: Statistics #43
350. Data organization in spreadsheets 351. Statistical Computing for Scientists and Engineers 352. Data science terminology 353. Using Big Data to Solve Economic and Social Problems 354. Decoding error messages in R 355. Data Visualization for Political Scientists 356. No. 1 — Introduction, and Averaging Polls of the 2016 U.S. Presidential Election
Potpourri: Statistics #42
343. Excel vs R: A Brief Introduction to R 344. Using ess for R and Stata users 345. When did the golden age of The Simpsons end? 346. Data Visualization Graduate Course 347. Code for my educational gifs 348. Understanding common misconceptions about p-values 349. A Guide to Reproducible Code in Ecology and Evolution