Year: 2016

Toward cumulative science– the curate science database

One of the themes of the New Statistics is the importance of constantly synthesizing research results.  Putting results together is a form of cumulative science, it helps us weigh all the evidence, provides more precise estimates of effect sizes, and

“Corrupt research” – Quite a book title

I’ve just finished reading a great book: Hubbard, R. (2015). Corrupt research. Sage. I’ve just given it a five-star review on Amazon. In brief, Hubbard is highly–as in extremely highly–critical of the conventional ‘significant difference’ paradigm, centred on finding p

What Pierre says, from Paris

Pierre Dragicevic (that’s his pic of a scary die!) is a super-interesting and enthusiastic researcher in HCI (Human-Computer Interaction) based at the Université Paris-Sud, an hour or so south of Paris. He is a researcher in the AVIZ Visual Analytics Project. He hosts

Scary Halloween? NO!

Well, the p is a bit scary, but the .06 is nothing special.

Video too slow? Then speed it up!

Video lectures can sometimes drag, maybe even statistics videos? Did you know that YouTube lets you adjust the playback speed? Simply go to ‘Settings’, the little cogwheel lower right, choose ‘speed’, and select from the options. Often, speeding up to

Geoff on Sydney radio: p hacking

Wendy Harmer is a great comedian and also a high-rating host on Sydney chat radio. Recently I (Geoff) had great fun chatting with her about p hacking, following my article in The Conversation on that topic. (See earlier post.) Here’s

An incredible archival data resource

Here is a really useful source of archival data made available for re-analysis, class projects, testing new hypotheses, etc.: This is the ICPSR, a consortium for data archiving and management.  It hosts an enormous collection of well annotated scientific

Make it stick–the Cliff’s Notes version

Learning statistics can be a challenge.  Using effective study habits can make that challenge more manageable.  Unfortunately, many students ignore or are unaware of the best study habits and instead adopt approaches that are less than optimal. In the new

New Registered Replication Project on the facial-feedback hypothesis

One of the most exciting developments in Open Science is the crowd-sourcing of large-scale replication projects of important findings.  These large-scale efforts gather enough data to make very precise estimates of effect size, and can also examine if factors across

MoE, the Margin of Error: What the New York Times says

The title of this NYT article is a good summary: “When You Hear the Margin of Error Is Plus or Minus 3 Percent, Think 7 Instead”. The NYT piece is based on this article by famous statistician (imagine that!) Andrew