Resources

Pre-analysis plans (PAPs) are a potential remedy to the publication of spurious findings in empirical research, but they have been criticized for their costs and for preventing valid discoveries. In this article, we analyze the costs and benefits of …

This article describes the current debate on the practice of preregistration in political science—that is, publicly releasing a research design before observing outcome data. The case in favor of preregistration maintains that it can restrain four …

Survey researchers take great care to measure respondents’ answers in an unbiased way; but, how successful are we as a field at remedying unintended and intended biases in our research? The validity of inferences drawn from studies has been found to …

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.

Economists have recently adopted pre-analysis plans in response to concerns about robustness and transparency in research. The increased use of registered pre-analysis plans has raised competing concerns that detailed plans are costly to create, …

Laws and policies to establish a global trial reporting system have greatly increased the transparency and accountability of the clinical research enterprise. The three components of the trial reporting system are trial registration, reporting of …

In the last decade, there has been a significant push for greater transparency in the social sciences. For example, epistemological and methodological debates have addressed the scope, meaning, and appropriateness of research transparency, and …

In response to a crisis of confidence, several methodological initiatives have been launched to improve the robustness of psychological science. Given its real-world implications, personality disorders research is all too important to not follow …

Data analysis in psychopathology research typically entails multiple stages of data preprocessing (e.g., coding of physiological measures), statistical decisions (e.g., inclusion of covariates), and reporting (e.g., selecting which variables best …

Cognitive aging researchers are interested in understanding how cognitive processes change in old age, but the relationship between hypothetical latent cognitive processes and observed behavior is often complex and not fully accounted for in standard …