Conceptual and Statistical Knowledge

Common statistical tests are linear models (or: how to teach stats)

This document is summarised in the table below. It shows the linear models underlying common parametric and “non-parametric” tests. Formulating all the tests in the same language highlights the many similarities between them.

Computational social science is growing up: why puberty consists of embracing measurement validation, theory development, and open science practices

Puberty is a phase in which individuals often test the boundaries of themselves and surrounding others and further define their identity – and thus their uniqueness compared to other individuals. Similarly, as Computational Social Science (CSS) grows …

Consequences of prejudice against the null hypothesis.

Examined the consequences of prejudice against accepting the null hypothesis through (a) a mathematical model intended to stimulate the research-publication process and (b) case studies of apparent erroneous rejections of the null hypothesis in …

Conservative tests under satisficing models of publication bias.

Publication bias leads consumers of research to observe a selected sample of statistical estimates calculated by producers of research. We calculate critical values for statistical significance that could help to adjust after the fact for the …

Construct validation in social and personality research: Current practice and recommendations.

The verity of results about a psychological construct hinges on the validity of its measurement, making construct validation a fundamental methodology to the scientific process. We reviewed a representative sample of articles published in the Journal …

Continuously Cumulating Meta-Analysis and Replicability

The current crisis in scientific psychology about whether our findings are irreproducible was presaged years ago by Tversky and Kahneman (1971), who noted that even sophisticated researchers believe in the fallacious Law of Small Numbers—erroneous …

Correcting for Bias in Psychology: A Comparison of Meta-Analytic Methods

Publication bias and questionable research practices in primary research can lead to badly overestimated effects in meta-analysis. Methodologists have proposed a variety of statistical approaches to correct for such overestimation. However, it is not …

Correlational Effect Size Benchmarks

Effect size information is essential for the scientific enterprise and plays an increasingly central role in the scientific process. We extracted 147,328 correlations and developed a hierarchical taxonomy of variables reported in Journal of Applied …

Course materials | Project TIER

Learn about courses, in a wide range of fields at a variety of institutions, where principles and resources from Project TIER have been used to teach transparent research methods.

course syllabi for open and reproducible science

A collection of course syllabi from any discipline featuring content to examine or improve open and reproducible research practices. Email to join project, access articles, or add other syllabi.