Utility of linear mixed effects models for event-related potential research with infants and children

MJ Heise, SK Mon, LC Bowman - Developmental cognitive neuroscience, 2022 - Elsevier
Event-related potentials (ERPs) are advantageous for investigating cognitive development.
However, their application in infants/children is challenging given children's difficulty in …

Predicting symptoms of depression and anxiety using smartphone and wearable data

I Moshe, Y Terhorst, K Opoku Asare, LB Sander… - Frontiers in …, 2021 - frontiersin.org
Background: Depression and anxiety are leading causes of disability worldwide but often
remain undetected and untreated. Smartphone and wearable devices may offer a unique …

Polarization is the psychological foundation of collective engagement

LGE Smith, EF Thomas, AM Bliuc… - Communications …, 2024 - nature.com
The term polarization is used to describe both the division of a society into opposing groups
(political polarization), and a social psychological phenomenon (group polarization) …

Resilience and turnover intention: The role of mindful leadership, empathetic leadership, and self-regulation

A Wibowo, W Paramita - Journal of Leadership & …, 2022 - journals.sagepub.com
This study investigates the impact of mindful and empathetic leadership on resilience and
turnover intention, with self-regulation as a mediating variable. A quantitative survey was …

Multilevel modeling myths.

FL Huang - School Psychology Quarterly, 2018 - psycnet.apa.org
The use of multilevel modeling (MLM) to analyze nested data has grown in popularity over
the years in the study of school psychology. However, with the increase in use, several …

Alternatives to multilevel modeling for the analysis of clustered data

FL Huang - The Journal of Experimental Education, 2016 - Taylor & Francis
Multilevel modeling has grown in use over the years as a way to deal with the
nonindependent nature of observations found in clustered data. However, other alternatives …

Application of the hierarchical bootstrap to multi-level data in neuroscience

V Saravanan, GJ Berman… - Neurons, behavior, data …, 2020 - pmc.ncbi.nlm.nih.gov
A common feature in many neuroscience datasets is the presence of hierarchical data
structures, most commonly recording the activity of multiple neurons in multiple animals …

[HTML][HTML] Keep calm and learn multilevel linear modeling: A three-step procedure using SPSS, Stata, R, and Mplus

N Sommet, D Morselli - International Review of Social Psychology, 2021 - rips-irsp.com
Keep Calm and Learn Multilevel Linear Modeling: A Three-Step Procedure Using SPSS, Stata,
R, and Mplus | International Review of Social Psychology Skip to main content Home About …

The relationship between mathematics self-efficacy and mathematics achievement: multilevel analysis with NAEP 2019

Y Yang, Y Maeda, M Gentry - Large-Scale Assessments in Education, 2024 - Springer
Background This empirical study aims to investigate the association between mathematics
self-efficacy and mathematics achievement gaps among students in Grades 4, 8, and 12 …