Olmo van den Akker – Preregistration: Past, Present, and Prospects – PoSE 2024

Olmo van den Akker – Preregistration: Past, Present, and Prospects – PoSE 2024

David F. Urschler – Do we really know what we are talking about? – PoSE 2024

David F. Urschler – Do we really know what we are talking about? – PoSE 2024

Ana Martinovici – How to detect data fabrication in Qualtrics questionnaires – PoSE 2024

Ana Martinovici – How to detect data fabrication in Qualtrics questionnaires – PoSE 2024

Catarina Dutilh-Novaes – Mistakes in mathematical proofs – PoSE 2024

Catarina Dutilh-Novaes – Mistakes in mathematical proofs – PoSE 2024

Rink Hoekstra – The Illusion of Objectivity – PoSE 2024

Rink Hoekstra – The Illusion of Objectivity – PoSE 2024

Ian Hussey – The ERЯOR project: A three-prong effort to improve error detection – PoSE 2024

Ian Hussey – The ERЯOR project: A three-prong effort to improve error detection – PoSE 2024

Fiona Fidler – Can forecasts of replicability improve peer review? – PoSE 2024

Fiona Fidler – Can forecasts of replicability improve peer review? – PoSE 2024

Veronika Cheplygina – Shortcuts and shortcomings in machine learning for medical imaging – PoSE 2024

Veronika Cheplygina – Shortcuts and shortcomings in machine learning for medical imaging – PoSE 2024

Gerit Pfuhl – Do Norwegian publishing incentives lead to questionable research practices? PoSE 2024

Gerit Pfuhl – Do Norwegian publishing incentives lead to questionable research practices? PoSE 2024

Aurélien Allard – Theory building and replicability – PoSE 2024

Aurélien Allard – Theory building and replicability – PoSE 2024

Christian Hennig – Understanding statistical inference based on models that aren't true – PoSE 2024

Christian Hennig – Understanding statistical inference based on models that aren't true – PoSE 2024

Sample Size Justification - Durham - 04 June 2021

Sample Size Justification - Durham - 04 June 2021

Risky Predictions by Daniel Lakens

Risky Predictions by Daniel Lakens

Pre-Registration by Daniel Lakens

Pre-Registration by Daniel Lakens

Replication Studies by Daniel Lakens

Replication Studies by Daniel Lakens

Bias Detection (in Meta-Analyses)

Bias Detection (in Meta-Analyses)

Introduction to Meta-Analysis

Introduction to Meta-Analysis

Mixed Results in Sets of Studies

Mixed Results in Sets of Studies

Do You Really Want to Test a Hypothesis? by Daniel Lakens

Do You Really Want to Test a Hypothesis? by Daniel Lakens

Type 1 Error Control by Daniel Lakens

Type 1 Error Control by Daniel Lakens

Bayesian Thinking by Daniel Lakens

Bayesian Thinking by Daniel Lakens

Bayesian Inference for Binomial Proportions by Daniel Lakens

Bayesian Inference for Binomial Proportions by Daniel Lakens

Binomial Likelihoods by Daniel Lakens

Binomial Likelihoods by Daniel Lakens

Sample Size Justification by Daniel Lakens

Sample Size Justification by Daniel Lakens

Type 1 and Type 2 errors by Daniel Lakens

Type 1 and Type 2 errors by Daniel Lakens

What is a p-value? by Daniel Lakens

What is a p-value? by Daniel Lakens

Frequentist, Likelihood, and Bayesian Approaches to Statistical Inferences by Daniel Lakens

Frequentist, Likelihood, and Bayesian Approaches to Statistical Inferences by Daniel Lakens

Interview Zoltan Dienes on Statistics and Philosophy of Science

Interview Zoltan Dienes on Statistics and Philosophy of Science

Interview Daniel Simons on Pre-Registration

Interview Daniel Simons on Pre-Registration

Get started with the perfect t test

Get started with the perfect t test