Aaron Peikert
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View article: To be FAIR: Theory Specification Needs an Update
To be FAIR: Theory Specification Needs an Update Open
Innovations in open science and meta-science have focused on rigorous *theory testing*,yet methods for specifying, sharing, and iteratively improving theories remain underdeveloped.To address these limitations, we introduce *FAIR theory*:A…
View article: Evaluate what is claimed to be confirmed: Initial version of a falsification assessment form (FAF)
Evaluate what is claimed to be confirmed: Initial version of a falsification assessment form (FAF) Open
Scientific claims, and the way they are tested must be unambiguous and flexibility must be disclosed. Grounded in Popper’s principle of falsification, we suggest the Falsification Assessment Form. The form aims to identify ambiguity and un…
View article: Why does preregistration increase the persuasiveness of evidence? A Bayesian rationalization
Why does preregistration increase the persuasiveness of evidence? A Bayesian rationalization Open
The replication crisis has led many researchers to preregister their hypotheses and data analysis plans before collecting data.A widely held view is that preregistration is supposed to limit the extent to which data may influence the hypot…
View article: To be FAIR: Theory Specification Needs an Update
To be FAIR: Theory Specification Needs an Update Open
Innovations in open science and meta-science have focused on rigorous *theory testing*,yet methods for specifying, sharing, and iteratively improving theories remain underdeveloped.To address these limitations, we introduce *FAIR theory*:A…
View article: StructuralEquationModels.jl: a Julia Package for Extensible and Efficient Structural Equation Modeling
StructuralEquationModels.jl: a Julia Package for Extensible and Efficient Structural Equation Modeling Open
We introduce StructuralEquationModels.jl, a novel Structural Equation Modeling (SEM) software designed with extensibility as its core principle. Since the introduction of SEM, the range of problems it is applied to is rapidly expanding. Ho…
View article: Evaluate what is claimed to be confirmed: Initial version of a falsification assessment form (FAF)
Evaluate what is claimed to be confirmed: Initial version of a falsification assessment form (FAF) Open
Scientific claims, and the way they are tested must be unambiguous and flexibility must be disclosed. Grounded in Popper’s principle of falsification, we suggest the Falsification Assessment Form. The form aims to identify ambiguity and un…
View article: Automated Reproducibility Testing in R Markdown
Automated Reproducibility Testing in R Markdown Open
Computational results are considered _reproducible_ if the same computation on the same data yields the same results if performed on a different computer or on the same computer later in time. Reproducibility is a prerequisite for replicab…
View article: To be FAIR: Theory Specification Needs an Update
To be FAIR: Theory Specification Needs an Update Open
Innovations in open science and meta-science have focused on rigorous *theory testing*,yet methods for specifying, sharing, and iteratively improving theories remain underdeveloped.To address these limitations, we introduce *FAIR theory*:A…
View article: Automated Reproducibility Testing in R Markdown
Automated Reproducibility Testing in R Markdown Open
Computational results are considered _reproducible_ if the same computation on the same data yields the same results if performed on a different computer or on the same computer later in time. Reproducibility is a prerequisite for replicab…
View article: Automated Reproducibility Testing in R Markdown
Automated Reproducibility Testing in R Markdown Open
Computational results are considered reproducible if the same computation on the same data yields the same results if performed on a different computer or on the same computer later in time. Reproducibility is a prerequisite for replicable…
View article: Automated Reproducibility Testing in R Markdown
Automated Reproducibility Testing in R Markdown Open
Computational results are considered _reproducible_ if the same computation on the same data yields the same results if performed on a different computer or on the same computer later in time. Reproducibility is a prerequisite for replicab…
View article: Commentary: 'Responsible Research Assessment II: A specific proposal for hiring and promotion in psychology'
Commentary: 'Responsible Research Assessment II: A specific proposal for hiring and promotion in psychology' Open
Based on four principles of a more responsible research assessment in academic hiring and promotion processes, Gärtner et al. (2022) suggested an evaluation scheme for published manuscripts, reusable data sets, and research software. This …
View article: Eleven strategies for making reproducible research and open science training the norm at research institutions
Eleven strategies for making reproducible research and open science training the norm at research institutions Open
Reproducible research and open science practices have the potential to accelerate scientific progress by allowing others to reuse research outputs, and by promoting rigorous research that is more likely to yield trustworthy results. Howeve…
View article: Eleven Strategies for Making Reproducible Research and Open Science Training the Norm at Research Institutions
Eleven Strategies for Making Reproducible Research and Open Science Training the Norm at Research Institutions Open
Across disciplines, researchers increasingly recognize that open science and reproducible research practices may accelerate scientific progress by allowing others to reuse research outputs and by promoting rigorous research that is more li…
View article: Assessing rigor and impact of research software for hiring and promotion in psychology: A comment on Gärtner et al. (2022)
Assessing rigor and impact of research software for hiring and promotion in psychology: A comment on Gärtner et al. (2022) Open
Based on four principles of a more responsible research assessment in academic hiring and promotion processes, Gärtner, Leising, and Schönbrodt (2022) suggested an evaluation scheme for published manuscripts, reusable data sets, and resear…
View article: Why does preregistration increase the persuasiveness of evidence? A Bayesian rationalization
Why does preregistration increase the persuasiveness of evidence? A Bayesian rationalization Open
The replication crisis has led many researchers to preregister their hypotheses and data analysis plans before collecting data.A widely held view is that preregistration is supposed to limit the extent to which data may influence the hypot…
View article: A Note on the Connection Between Trek Rules and Separable Nonlinear Least Squares in Linear Structural Equation Models
A Note on the Connection Between Trek Rules and Separable Nonlinear Least Squares in Linear Structural Equation Models Open
We show that separable nonlinear least squares (SNLLS) estimation is applicable to all linear structural equation models (SEMs) that can be specified in RAM notation. SNLLS is an estimation technique that has successfully been applied to a…
View article: Estimating Statistical Power for Structural Equation Models in Developmental Cognitive Science: A Tutorial in R
Estimating Statistical Power for Structural Equation Models in Developmental Cognitive Science: A Tutorial in R Open
Determining the compositional structure and dimensionality of psychological constructs lies at the heart of many research questions in developmental science. Structural equation modelling (SEM) provides a versatile framework for formalizin…
View article: A Note on the Connection Between Trek Rules and Separable Nonlinear Least Squares in Linear Structural Equation Models
A Note on the Connection Between Trek Rules and Separable Nonlinear Least Squares in Linear Structural Equation Models Open
We show that separable nonlinear least squares (SNLLS) estimation is applicable to all linear structural equation models (SEMs) that can be specified in RAM notation. SNLLS is an estimation technique that has successfully been applied to a…
View article: A Note on the Connection Between Trek Rules and Separable Nonlinear Least Squares in Linear Structural Equation Models
A Note on the Connection Between Trek Rules and Separable Nonlinear Least Squares in Linear Structural Equation Models Open
We show that separable nonlinear least squares (SNLLS) estimation is applicable to all linear structural equation models (SEMs) that can be specified in RAM notation. SNLLS is an estimation technique that has successfully been applied to a…
View article: Reproducible Research in R: A Tutorial on How to Do the Same Thing More Than Once
Reproducible Research in R: A Tutorial on How to Do the Same Thing More Than Once Open
Computational reproducibility is the ability to obtain identical results from the same data with the same computer code. It is a building block for transparent and cumulative science because it enables the originator and other researchers,…
View article: Reproducible Research in R: A Tutorial on how to Do the Same Thing More Than Once
Reproducible Research in R: A Tutorial on how to Do the Same Thing More Than Once Open
Reproducibility has long been considered integral to the scientific method. Something is called reproducible when an independent person obtains the same results from the same data. Until recently, detailed descriptions of methods and analy…
View article: A Reproducible Data Analysis Workflow
A Reproducible Data Analysis Workflow Open
In this tutorial, we describe a workflow to ensure long-term reproducibility of R-based data analyses. The workflow leverages established tools and practices from software engineering. It combines the benefits of various open-source softwa…
View article: WORCS: A workflow for open reproducible code in science
WORCS: A workflow for open reproducible code in science Open
Adopting open science principles can be challenging, requiring conceptual education and training in the use of new tools. This paper introduces the Workflow for Open Reproducible Code in Science (WORCS): A step-by-step procedure that resea…
View article: WORCS: A Workflow for Open Reproducible Code in Science
WORCS: A Workflow for Open Reproducible Code in Science Open
Adopting open science principles can be challenging and time-intensive, because doing so requires substantial conceptual education and training in the use of new tools. This paper introduces the Workflow for Open Reproducible Code in Scien…
View article: A Reproducible Data Analysis Workflow with R Markdown, Git, Make, and Docker
A Reproducible Data Analysis Workflow with R Markdown, Git, Make, and Docker Open
In this tutorial, we describe a workflow to ensure long-term reproducibility of R-based data analyses. The workflow leverages established tools and practices from software engineering. It combines the benefits of various open-source softwa…
View article: The Great Debate
The Great Debate Open
There are many different theories of intelligence. Although these theories differ in their nuances, nearly all agree that there are multiple cognitive abilities and that they differ in the breadth of content they are typically associated w…
View article: How Specific Abilities Might Throw ‘g’ a Curve: An Idea on How to Capitalize on the Predictive Validity of Specific Cognitive Abilities
How Specific Abilities Might Throw ‘g’ a Curve: An Idea on How to Capitalize on the Predictive Validity of Specific Cognitive Abilities Open
School grades are still used by universities and employers for selection purposes. Thus, identifying determinants of school grades is important. Broadly, two predictor categories can be differentiated from an individual difference perspect…