Resources

 

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

Standard Operating Procedures: A Safety Net for Pre-Analysis Plans

Across the social sciences, growing concerns about research transparency have led to calls for pre-analysis plans (PAPs) that specify in advance how researchers intend to analyze the data they are about to gather. PAPs promote transparency and …

Star wars: The empirics strike back

Using 50,000 tests published in the AER, JPE, and QJE, we identify a residual in the distribution of tests that cannot be explained solely by journals favoring rejection of the null hypothesis. We observe a two-humped camel shape with missing …

Stat 545

This site is about everything that comes up during data analysis except for statistical modelling and inference. This might strike you as strange, given R’s statistical roots. First, let me assure you we believe that modelling and inference are …

Statcheck

statcheck is a program that checks for errors in statistical reporting in APA-formatted documents. It was originally written in the R programming language. statcheck/web is a web-based implementation of statcheck. Using statcheck/web, you can check …

State of open science in cancer research

Purpose This study has been focused on assessing the Open Science scenario of cancer research during the period 2011–2021, in terms of the derived scientific publications and raw data dissemination. Methods A cancer search equation was executed in …

Statements on Open Science for Sustainable Development Goals

This article attempts to practicalise Open Science (OS) to promote ideas and enhance efforts for the Sustainable Development Goals (SDGs). It delineates General Statements (n = 20) as guiding beacons and the Specific Statements (n = 70) that act as …

Statistical errors: P values, the ‘gold standard’ of statistical validity, are not as reliable as many scientists assume

P values, the 'gold standard' of statistical validity, are not as reliable as many scientists assume.

Statistical Evidence: A Likelihood Paradigm

Interpreting statistical data as evidence, Statistical Evidence: A Likelihood Paradigm focuses on the law of likelihood, fundamental to solving many of the problems associated with interpreting data in this way. Statistics has long neglected this …

Statistical Methods in Psychological Research Syllabus

A statistics book and tutorial about statistics

Statistical methods in psychology journals: Guidelines and explanations.

In the light of continuing debate over the applications of significance testing in psychology journals and following the publication of J. Cohen's (1994) article, the Board of Scientific Affairs (BSA) of the American Psychological Association (APA) …
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