Conceptual and Statistical Knowledge

Longitudinal Structural Equation Modeling (Methodology in the Social Sciences)

Featuring actual datasets as illustrative examples, this book reveals numerous ways to apply structural equation modeling (SEM) to any repeated-measures study. Initial chapters lay the groundwork for modeling a longitudinal change process, from …

Measurement error and the replication crisis.

The assumption that measurement error always reduces effect sizes is false

Measurement Matters

This resource list contains reading material on the topic of measurement in psychological sciences. We hope the list will be a useful tool in helping researchers to improve measurement practices, and inspire debates about measurement in psychology. …

Meta-analyses are no substitute for registered replications: a skeptical perspective on religious priming

According to a recent meta-analysis, religious priming has a positive effect on prosocial behavior (Shariff et al., 2015). We first argue that this meta-analysis suffers from a number of methodological shortcomings that limit the conclusions that can …

Methodological Advances in Behavioral Research: Crowdsourcing Science

The results of many published studies across many scientific domains are not easily reproduced by independent laboratories. For example, an initiative by Bayer Healthcare to replicate 67 pre-clinical studies led to a reproducibility rate of 20-25% …

Methods for Reliable, Transparent, and Open Science

A syllabus about the methods for reliable, transparent and open science

Mindless statistics

Statistical rituals largely eliminate statistical thinking in the social sciences. Rituals are indispensable for identification with social groups, but they should be the subject rather than the procedure of science. What I call the “null ritual” …

Mini Meta-Analysis of Your Own Studies: Some Arguments on Why and a Primer on How

We outline the need to, and provide a guide on how to, conduct a meta-analysis on one’s own studies within a manuscript. Although conducting a “mini meta” within one’s manuscript has been argued for in the past, this practice is still relatively rare …

Mission: P-curve

A blog about the p-curve

More than meets the ITT: A guide for anticipating and investigating nonsignificant results in survey experiments

Survey experiments often yield intention-to-treat effects that are either statistically and/or practically “non-significant.” There has been a commendable shift toward publishing such results, either to avoid the “file drawer problem” and/or to …