Resources

From designing studies and translating science to technical services, the work of support staff is highly diverse — and it needs merit systems to match.

In this short article, I want to provide some of my thoughts on these developments from the perspective of someone who writes PAPs and reads them as a reviewer, as well as from the perspective of a journal editor.

Psychology journals rarely publish nonsignificant results. At the same time, it is often very unlikely (or “too good to be true”) that a set of studies yields exclusively significant results. Here, we use likelihood ratios to explain when sets of …

Colleges and universities largely exist to advance knowledge for the public good through research, teaching, and public service. Yet, for far too long academic incentive systems have been misaligned with the foundational values upon which …

Course summary A minimal standard for data analysis and other scientific computations is that they be reproducible: that the code and data are assembled in a way so that another group can re-create all of the results (e.g., the figures in a paper). …

The Transparency and Openness Promotion guidelines include eight modular standards, each with three levels of increasing stringency. Journals select which of the eight transparency standards they wish to implement and select a level of implementation …

We summarize our career advice on everything from writing effectively and giving a stellar presentation to writing a CV and negotiating a job offer.

A crise de confiança na ciência. Práticas e condutas questionáveis na pesquisa. Delineamento experimental adequado. Definição de variáveis. Armadilhas à validade. Cálculo amostral. Transparência na pesquisa. Pré-registro. Dados e código aberto.

This seminar class will focus on the theme of Reproducibility in Social Psychology. We will discuss issues surrounding open science as well as the “replication crisis” in social psychology.

Protecting privacy and ensuring confidentiality in data is a critical component of modernizing our national data infrastructure. The use of blended data - combining previously collected data sources - presents new considerations for responsible data …