Best practice guidance for linear mixed-effects models in psychological science

L Meteyard, RAI Davies - Journal of Memory and Language, 2020 - Elsevier
Abstract The use of Linear Mixed-effects Models (LMMs) is set to dominate statistical
analyses in psychological science and may become the default approach to analyzing …

Why does peer instruction benefit student learning?

JG Tullis, RL Goldstone - Cognitive research: principles and implications, 2020 - Springer
In peer instruction, instructors pose a challenging question to students, students answer the
question individually, students work with a partner in the class to discuss their answers, and …

Individual differences in information-seeking

CA Kelly, T Sharot - Nature communications, 2021 - nature.com
Vast amounts of personalized information are now available to individuals. A vital research
challenge is to establish how people decide what information they wish to obtain. Here, over …

Summary-statistics-based power analysis: A new and practical method to determine sample size for mixed-effects modeling.

K Murayama, S Usami, M Sakaki - Psychological Methods, 2022 - psycnet.apa.org
statistics-based power analysis: A new and practical method to determine sample size for
mixed-effects modeling. © 2022 American Psychological Association Psychological Methods …

Measuring metacognitive knowledge, monitoring, and control in the pharmacy classroom and experiential settings

ML Rivers, J Dunlosky, AM Persky - American journal of pharmaceutical …, 2020 - Elsevier
Objective. To provide a user's guide on measuring metacognition in authentic contexts so
that educators and researchers can explore students' metacognition with an aim towards …

Comparing human evaluations of eyewitness statements to a machine learning classifier under pristine and suboptimal lineup administration procedures

JH Grabman, IG Dobbins, CS Dodson - Cognition, 2024 - Elsevier
Recent work highlights the ability of verbal machine learning classifiers to distinguish
between accurate and inaccurate recognition memory decisions (Dobbins, 2022; Dobbins & …

[HTML][HTML] Curious to eat insects? Curiosity as a Key Predictor of Willingness to try novel food

H Stone, L FitzGibbon, E Millan, K Murayama - Appetite, 2022 - Elsevier
Entomophagy–the consumption of insects–is often rejected by Western society despite its
benefits over traditional animal-based proteins. While several factors have been identified …

Shared striatal activity in decisions to satisfy curiosity and hunger at the risk of electric shocks

JKL Lau, H Ozono, K Kuratomi, A Komiya… - Nature Human …, 2020 - nature.com
Curiosity is often portrayed as a desirable feature of human faculty. However, curiosity may
come at a cost that sometimes puts people in harmful situations. Here, using a set of …

The rich-get-richer effect: Prior knowledge predicts new learning of domain-relevant information.

AE Witherby, SK Carpenter - Journal of Experimental Psychology …, 2022 - psycnet.apa.org
When learning new information, students' prior knowledge related to that information will
often vary. Prior research has not systematically explored how prior knowledge relates to …

[PDF][PDF] Within-person analysis in educational psychology: Importance and illustrations.

K Murayama, T Goetz, LE Malmberg… - British Journal of …, 2017 - motivationsciencelab.com
Most of the empirical (especially correlational) research in educational psychology to date
has relied on between-person analysis, where constructs are assessed on the person level …