Data Colada
Menu
  • Home
  • Table of Contents
  • Feedback Policy
  • Seminar
  • About
Menu

Author: Guest co-author: Joachim Vosgerau and Uri, Leif, & Joe

[73] Don't Trust Internal Meta-Analysis

Posted on October 24, 2018November 18, 2020 by Guest co-author: Joachim Vosgerau and Uri, Leif, & Joe

Researchers have increasingly been using internal meta-analysis to summarize the evidence from multiple studies within the same paper. Much of the time, this involves computing the average effect size across the studies, and assessing whether that effect size is significantly different from zero. At first glance, internal meta-analysis seems like a wonderful idea. It increases…

Read more

Get Colada email alerts.

Join 8,290 other subscribers

Social media

We tweet new posts: @DataColada
And mastopost'em: @DataColada@mas.to
And link to them on our Facebook page

Recent Posts

  • [114] Exhibits 3, 4, and 5
  • [113] Data Litigada: Thank You (And An Update)
  • [112] Data Falsificada (Part 4): "Forgetting The Words"
  • [111] Data Falsificada (Part 3): "The Cheaters Are Out of Order"
  • [110] Data Falsificada (Part 2): "My Class Year Is Harvard"

Get blogpost email alerts

Join 8,290 other subscribers

tweeter & facebook

We tweet new posts: @DataColada
And link to them on our Facebook page

Posts on similar topics

    search

    © 2021, Uri Simonsohn, Leif Nelson, and Joseph Simmons. For permission to reprint individual blog posts on DataColada please contact us via email..