Replicability, robustness, and reproducibility in psychological science

BA Nosek, TE Hardwicke, H Moshontz… - Annual review of …, 2022 - annualreviews.org
Replication—an important, uncommon, and misunderstood practice—is gaining
appreciation in psychology. Achieving replicability is important for making research …

Precision medicine in stroke: towards personalized outcome predictions using artificial intelligence

AK Bonkhoff, C Grefkes - Brain, 2022 - academic.oup.com
Stroke ranks among the leading causes for morbidity and mortality worldwide. New and
continuously improving treatment options such as thrombolysis and thrombectomy have …

Partial success in closing the gap between human and machine vision

R Geirhos, K Narayanappa, B Mitzkus… - Advances in …, 2021 - proceedings.neurips.cc
A few years ago, the first CNN surpassed human performance on ImageNet. However, it
soon became clear that machines lack robustness on more challenging test cases, a major …

Open science challenges, benefits and tips in early career and beyond

C Allen, DMA Mehler - PLoS biology, 2019 - journals.plos.org
The movement towards open science is a consequence of seemingly pervasive failures to
replicate previous research. This transition comes with great benefits but also significant …

[HTML][HTML] Sample size evolution in neuroimaging research: An evaluation of highly-cited studies (1990–2012) and of latest practices (2017–2018) in high-impact …

D Szucs, JPA Ioannidis - NeuroImage, 2020 - Elsevier
We evaluated 1038 of the most cited structural and functional (fMRI) magnetic resonance
brain imaging papers (1161 studies) published during 1990–2012 and 270 papers (300 …

Virus tinged? Exploring the facets of virtual reality use in tourism as a result of the COVID-19 pandemic

AF Schiopu, RI Hornoiu, MA Padurean… - Telematics and Informatics, 2021 - Elsevier
Several studies have investigated the use of virtual reality (VR) in tourism, but none has
taken an epidemiological outlook. This research examined the use of VR in tourism through …

THINGS-data, a multimodal collection of large-scale datasets for investigating object representations in human brain and behavior

MN Hebart, O Contier, L Teichmann, AH Rockter… - Elife, 2023 - elifesciences.org
Understanding object representations requires a broad, comprehensive sampling of the
objects in our visual world with dense measurements of brain activity and behavior. Here …

Power contours: Optimising sample size and precision in experimental psychology and human neuroscience.

DH Baker, G Vilidaite, FA Lygo, AK Smith… - Psychological …, 2021 - psycnet.apa.org
When designing experimental studies with human participants, experimenters must decide
how many trials each participant will complete, as well as how many participants to test …

Moving beyond social categories by incorporating context in social psychological theory

M Cikara, JE Martinez, NA Lewis Jr - Nature Reviews Psychology, 2022 - nature.com
Across phenomena and areas of inquiry, social psychology often emphasizes social
categories as the unit of explanation. However, the primacy of categories often leads social …

What counts as good science? How the battle for methodological legitimacy affects public psychology.

NA Lewis Jr - American Psychologist, 2021 - psycnet.apa.org
Part of the “boundary work”(Gieryn, 1983) throughout the history of psychology has been to
divide the discipline into camps of “basic” and “applied” researchers who take different …