Conceptual and Statistical Knowledge

An exploratory test for an excess of significant findings

Background The published clinical research literature may be distorted by the pursuit of statistically significant results. Purpose: We aimed to develop a test to explore biases stemming from the pursuit of nominal statistical significance. Methods …

Applied Multiple Regression/Correlation Analysis for the Behavioral Sciences

This classic text on multiple regression is noted for its nonmathematical, applied, and data-analytic approach. Readers profit from its verbal-conceptual exposition and frequent use of examples.

At what sample size do correlations stabilize?

Sample correlations converge to the population value with increasing sample size, but the estimates are often inaccurate in small samples. In this report we use Monte-Carlo simulations to determine the critical sample size from which on the magnitude …

Bad Science log, post-Guardian

Blogs about bad science

Bargain Basement Bayes

A blog about bayesian Statistics

Bayes Factor

Bayes factors are somewhat essential to Bayesian statistics. Tony O’Hagan explains their basics

Bayes for Beginners: Probability and Likelihood

A blog about Bayes for Beginners: Probability and Likelihood

Bayesian inference

This blog post is about a new statistical visualization. This time I’ve tried to illustrate the logic of bayesian updating and hypothesis testing, using a Bayesian t-test.

Ben Goldacre: Battling Bad Science

A video about battling bad science

Benefits of Open and High-Powered Research Outweigh Costs

Several researchers recently outlined unacknowledged costs of open science practices, arguing these costs may outweigh benefits and stifle discovery of novel findings. We scrutinize these researchers’ (a) statistical concern that heightened …