Resources

 

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

RStudio Cheatsheets

RStudio Cheatsheets The cheatsheets below make it easy to use some of our favorite packages. Cheatsheets include the following topics: Python with R and Reticulate Cheatsheet: The reticulate package provides a comprehensive set of tools for …

Safeguard Power as a Protection Against Imprecise Power Estimates

An essential first step in planning a confirmatory or a replication study is to determine the sample size necessary to draw statistically reliable inferences using power analysis. A key problem, however, is that what is available is the sample-size …

Sailing From the Seas of Chaos Into the Corridor of Stability: Practical Recommendations to Increase the Informational Value of Studies

Recent events have led psychologists to acknowledge that the inherent uncertainty encapsulated in an inductive science is amplified by problematic research practices. In this article, we provide a practical introduction to recently developed …

Sample Size in Psychological Research Over the Past 30 Years

The American Psychological Association (APA) Task Force on Statistical Inference was formed in 1996 in response to a growing body of research demonstrating methodological issues that threatened the credibility of psychological research, and made …

Sample Size Justification Shiny App

This Shiny app accompanies the paper 'Sample Size Justification' by Daniël Lakens. You can download the pre-print of this article at PsyArXiV and any sections in this online form that are unclear are explained in the paper. You can help to improve …

Sample Size Planning for Statistical Power and Accuracy in Parameter Estimation

This review examines recent advances in sample size planning, not only from the perspective of an individual researcher, but also with regard to the goal of developing cumulative knowledge. Psychologists have traditionally thought of sample size …

Sample Size Planning for the Standardized Mean Difference: Accuracy in Parameter Estimation via Narrow Confidence Intervals

Methods for planning sample size (SS) for the standardized mean difference so that a narrow confidence interval (CI) can be obtained via the accuracy in parameter estimation (AIPE) approach are developed. One method plans SS so that the expected …

Sample-size planning for more accurate statistical power: A method adjusting sample effect sizes for publication bias and uncertainty.

The sample size necessary to obtain a desired level of statistical power depends in part on the population value of the effect size, which is, by definition, unknown. A common approach to sample-size planning uses the sample effect size from a prior …

Scandal in scientific reform: the breaking and remaking of science

This perspective explores the Scientific Reform Movement and its links to scandalized claims, such as ‘science is broken’. It delves into the pivotal role of scandal in shaping and sustaining this movement, both rhetorically and politically and …

Scanning the horizon: towards transparent and reproducible neuroimaging research

Functional neuroimaging techniques have transformed our ability to probe the neurobiological basis of behaviour and are increasingly being applied by the wider neuroscience community. However, concerns have recently been raised that the conclusions …
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