Resources

The Project Teaching Integrity in Empirical Research (TIER) develops methods and tools for enhancing research transparency through teaching. These can be used by faculty who teach quantitative methods or supervise student research. TIER further …

The purpose of this paper is to help think through the advantages and costs of rigorous pre-specification of statistical analysis plans in economics. A pre-analysis plan pre-specifies in a precise way the analysis to be run before examining the data. …

Author guidelines for journals could help to promote transparency, openness, and reproducibility

The open-science movement is driven by the desire to increase research transparency, accessibility, and equity in conducting, reporting, and sharing research. Because open science aims to enable access and inclusion, and because incivility impedes …

Social scientists should adopt higher transparency standards to improve the quality and credibility of research.

This repository provides resources for faculty and academic units to re-imagine faculty rewards and incentives, and in particular how faculty are evaluated for promotion and tenure, with the goal of maximizing inclusivity in science by changing how …

This article summarizes evidence and issues associated with psychological assessment. Data from more than 125 meta-analyses on test validity and 800 samples examining multimethod assessment suggest 4 general conclusions: (a) Psychological test …

Psychologists must change the way they conduct and report their research—this notion has been the topic of much debate in recent years. One article recently published in Psychological Science proposing six requirements for researchers concerning data …

Is psychology a robust science? To answer such a question, this course will encourage you to think critically about how psychological research is conducted and how conclusions are drawn. To enable you to truly understand how psychology functions as …

Psychology advances knowledge by testing statistical hypotheses using empirical observations and data. The expectation is that most statistically significant findings can be replicated in new data and in new laboratories, but in practice many …