Conceptual and Statistical Knowledge

 

Selective and (mis)leading economics journals: Meta-research evidence

We assess statistical power and excess statistical significance among 31 leading economics general interest and field journals using 22,281 parameter estimates from 368 distinct areas of economics research. Median statistical power in leading …

ShareStats - The open statistics assessment itembank

ShareStats is the world’s largest public repository of open-source statistics assessment items, developed to support high-quality, data-informed education. This collaborative initiative brings together multiple Dutch universities and universities of …

Short R script to plot effect sizes (Cohen's d) and share overlapping are

This blog describes how to plot effect sizes (Cohen's d) and shade overlapping area with R scripts

Significance

Visual comics about significance testing

Significance tests have their place

Null-hypothesis significance tests (NHST), properly used, tell us whether we have sufficient evidence to be confident of the sign of the population effect–but only if we abandon two-valued logic in favor of Kaiser's (1960) three-alternative …

Small telescopes Detectability and the evaluation of replication results.

This article introduces a new approach for evaluating replication results. It combines effect-size estimation with hypothesis testing, assessing the extent to which the replication results are consistent with an effect size big enough to have been …

Social Sciences Research Methods Centre Replication Workshop

This workshop will introduce students to the process of reproducing published work. Replicating other scholars’ work is an essential tool for becoming familiar with methods, learning to select suitable models, and getting a chance to publish early …

SPSP experts - open science

A video about open science, pre-registration etc.

Spurious Correlations

A website detailing spurious correlations

Standard Operating Procedures: A Safety Net for Pre-Analysis Plans

Across the social sciences, growing concerns about research transparency have led to calls for pre-analysis plans (PAPs) that specify in advance how researchers intend to analyze the data they are about to gather. PAPs promote transparency and …