To be FAIR: Theory needs an update! Using existing #openscience infrastructure (GitHub, Zenodo), we Introduce FAIR theory, a digital object that can be shared, reused in analysis environments, and iteratively updated based on new findings.

RT @BorsboomDenny: Five more days to submit an abstract for the International Meeting of the Psychometric Society (IMPS) in Minnesota: http….

RT @BorsboomDenny: This year I have the honour of serving the Psychometric Society as its President, and we have been working hard on the p….

RT @sfiscience: Out today! “Complex-Systems Research in Psychology” by Han van der Maas, the latest book from @SFIPress, introduces complex….

We demonstrate our framework on the regulatory resource theory of ego depletion. This theory is much debated and replication studies failed to observe the effect of ego depletion under rigorous conditions. We draw some interesting conclusions which I'm not going to spoil here ;-).

We propose three criteria to evaluate explanations:.Precision: How much of the formalization is determined by the theory.Robustness: How well the statistical pattern is produced under parameter variations .Empirical Relevance: The necessity of theory components in the model.

Productive explanation involves three steps:.a) Explicate the verbal theory as a mathematical or computational model.b) Represent the phenomenon as a statistical pattern,.c) Simulate data from the model and test if it matches the phenomenon's pattern.

Our paper introduces a framework for evaluating explanations in psychological science. By representing theories as formal models and capturing phenomena as statistical patterns that are observed across studies, we aim to clarify how theories explain these phenomena.

It's out in Psychological Review! In this paper, we propose a method for testing whether theories explain empirical phenomena. Thanks @BorkRiet, @AFinnemann, @JonasHaslbeck, Han, Jill, @RuitenZeven, and @DennyBorsboom for making this possible!

RT @jtrialerror: We're thrilled to present you our latest special issue on the scientific reform movement!. In response to the replication….

RT @lakens: The recent Perspectives on Scientific Error Conference was a great success. The 'save the date' for the new one is just announc….

RT @lakens: Here’s Ana Martinovici @Ana_Martinovici who discussed how she detects data fabrication in Qualtrics questionnaires. https://t….

RT @lakens: @Ana_Martinovici Here’s Olmo van den Akker @DenOlmo, talking about recent work from his excellent PhD thesis on preregistration….

RT @lakens: @Ana_Martinovici @DenOlmo Here’s David Urschler @dfusocialpsy giving a very interesting talk about why we need to spend on time….

RT @lakens: @Ana_Martinovici @DenOlmo @dfusocialpsy And what a keynote by Catarina Dutilh-Novaes @cdutilhnovaes on mistakes in mathematica….

RT @lakens: @Ana_Martinovici @DenOlmo @dfusocialpsy @cdutilhnovaes @ianhussey You know the saying ‘all models are false’ – but here’s Chris….

RT @lakens: It was a pleasure to have Gerit Pfuhl @Gerit_Pfuhl over. What happens if the government starts paying researchers for publicat….

RT @lakens: For an excellent critical (but also funny!) take on work in machine learning, Veronika Cheplygina @DrVeronikaCH guides us thro….

RT @lakens: And finally Fiona Fidler @fidlerfm talks about how we can best evaluate scientific research, and if the Replicats projects off….

RT @lakens: Most of the talks of the 6th Perspectives on Scientific Error conference are now online! . All these t….