Resources

 

We have an amazing team who curated many resources for the community.

Data: Sharing Is Caring

Data sharing promotes scientific progress by permitting replication of prior scientific analyses and by increasing the return on the human and financial investments made in data collection. The costs of data sharing can be reduced through the …

Enabling Open-Science Initiatives in Clinical Psychology and Psychiatry Without Sacrificing Patients’ Privacy: Current Practices and Future Challenges

The psychological and psychiatric communities are generating data on an ever-increasing scale. To ensure that society reaps the greatest utility in research and clinical care from such rich resources, there is significant interest in wide-scale, open …

Erroneous analyses of interactions in neuroscience: a problem of significance.

In theory, a comparison of two experimental effects requires a statistical test on their difference. In practice, this comparison is often based on an incorrect procedure involving two separate tests in which researchers conclude that effects differ …

False-Positive Citations

We describe why we wrote “False-Positive Psychology,” analyze how it has been cited, and explain why the integrity of experimental psychology hinges on the full disclosure of methods, the sharing of materials and data, and, especially, the …

HARKing: Hypothesizing after the results are known

This article considers a practice in scientific communication termed HARKing (Hypothesizing After the Results are Known). HARKing is defined as presenting a post hoc hypothesis (i.e., one based on or informed by one's results) in one's research …

Justify your alpha

In response to recommendations to redefine statistical significance to P ≤ 0.005, we propose that researchers should transparently report and justify all choices they make when designing a study, including the alpha level.

Let's Publish Fewer Papers

A paper about publishing few papers

Measurement error and the replication crisis.

The assumption that measurement error always reduces effect sizes is false

Meta‐regression approximations to reduce publication selection bias.

Publication selection bias is a serious challenge to the integrity of all empirical sciences. We derive meta-regression approximations to reduce this bias. Our approach employs Taylor polynomial approximations tothe conditional mean of a truncated …

Negativity towards negative results: a discussion of the disconnect between scientific worth and scientific culture.

Science is often romanticised as a flawless system of knowledge building, where scientists work together to systematically find answers. In reality, this is not always the case. Dissemination of results are straightforward when the findings are …
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