research methods

A look at the global shift to open science, exploring how transparency, preregistration, and open data are becoming the new standard for credible research, benefiting scientists, funders and society.

Conducting systematic literature reviews is traditionally a laborious, manual process involving the extraction of distinct data points from hundreds of academic papers, but this presentation introduces a structured, multi-tool workflow using the …

To err is human, but when it comes to creating research materials, mistakes can be reduced by sharing more of our work and by using some helpful tools. For instance, we can make our research materials FAIRer—that is, more Findable, Accessible, …

Electroencephalography (EEG) has become a cornerstone for understanding the intricate workings of the human brain in the field of neuroscience. However, EEG software and hardware come with their own set of constraints, particularly in the management of markers, also known as triggers. This article aims to shed light on these limitations and future prospects of marker management in EEG studies, while also introducing R functions that can help deal with vmrk files from BrainVision.

Extension of the rscopus R package with functions that manage search quotas, retrieve DOIs for reference managers, search for additional DOIs, compare publication counts across topics, and visualize bibliometric comparisons over time.

An Excel workbook template with conditional formatting to facilitate planning, registration, and tracking of sessions in longitudinal studies involving multiple session conductors.

The best argument to motivate a preregistration may be that it doesn’t take any extra time. It just requires frontloading an important portion of the work. As a reward, the paper will receive greater trust from the reviewers and the readers at large. Preregistration is not perfect, but is a lesser evil that reduces the misuse of statistical analysis in science.

Learning Zotero requires approximately 10 hours of investment that will pay off through time savings in formatting and correcting references.

Frequently asked questions about mixed-effects models, covering the necessity of random slopes, appropriate p-value calculation methods, parallelization limitations, convergence issues, and optimizer selection.

In the fast-paced world of scientific research, establishing minimum standards for the creation of research materials is essential. Whether it's stimuli, custom software for data collection, or scripts for statistical analysis, the quality and transparency of these materials significantly impact the reproducibility and credibility of research. This blog post explores the importance of adhering to FAIR (Findable, Accessible, Interoperable, Reusable) principles, and offers practical examples for researchers, with a focus on the cognitive sciences.

An R script for preprocessing frequency list data from the Norwegian Web as Corpus (NoWaC), including instructions for downloading and preparing the corpus data.

A custom R function to create ggplot2 visualizations of power curves generated by the simr package's powerCurve function for mixed-effects models.

A custom R function to create ggplot2 visualizations of fixed effects from models refitted with multiple optimizers using lme4's allFit function, enabling visual assessment of convergence validity in mixed-effects models.

Python inline script for OpenSesame that automatically loads participant-specific parameters from a CSV file, enabling complex counterbalancing schemes beyond the standard interface options.

How to append version numbers to OSF download links using the '?version=X' parameter to document and preserve the exact versions of files used in research projects.

Covariates serve two essential purposes: statistically accounting for satellite variables that may affect variables of interest, and academically preventing the development of redundant theories by enabling direct comparisons between related theoretical constructs.

Critical examination of Liu et al. (2018) claims about methodological inconsistencies in ERP studies of conceptual modality switching, arguing that their conclusions overlook theoretical and methodological justifications for varying analytical approaches.

Open-source R-based web application for creating varied experimental data sets with customizable structures including between-group and within-participant variables that can be categorical or continuous.

This study is a cross-linguistic, conceptual replication of Lynott and Connell’s (2009, 2013) modality exclusivity norms. The properties and concepts tested therein were translated into Dutch, and independently rated and analyzed (Bernabeu, 2018).