I’m delighted to say we’re releasing three new goodies from Gordon Moore: distributions, d picture, and correlation. These follow his wonderful dances introduced here. As I explained, ITNS2 will be accompanied by Bob’s data analysis software, esci, in R, and Gordon’s web-based …

Goodies from Gordon: ‘distributions’, ‘d picture’, ‘correlation’–all part of ‘esci web’ Read more »

Bob and I are delighted to welcome Gordon Moore who joins us in working on the second edition of ITNS. Gordon, an independent tutor in computing, statistics and mathematics, is based in England, so our ITNS2 team of three now …

Gordon’s ‘dances’: Vivid Simulations Bring Statistical Ideas Alive Read more »

In brief: Curves picture how likelihood varies across and beyond a CI. Which is better: One curve (plausibility picture) or two (cat’s eye)? Which should we use in ITNS2? Curves can discourage dichotomous decision making based on a belief that …

The Shape of a Confidence Interval: Cat’s Eye or Plausibility Picture, and What About Cliff? Read more »

Pawel (Pav) Kalinowski and Jerry Lai completed their PhDs a few years back. A recently published Frontiers article (citation below) reports what was primarily Pav’s research on how people understand confidence intervals (CIs). The short version is “for many people, …

The Beautiful Face of a Confidence Interval: The Cat’s Eye Picture Read more »

This is a post about the Diamond Ratio (DR), a simple measure of the extent of heterogeneity in a meta-analysis. We introduced the DR in ITNS. But first, some background. Fixed Effect (FE) model for meta-analysis The diamond at the …

Measuring Heterogeneity in Meta-Analysis: The Diamond Ratio (DR) Read more »