Evidence map›Paper›PMID 33600841›Full record

ReviewInternational journal of psychophysiology : official journal of the International Organization of Psychophysiology2021

Using multilevel models for the analysis of event-related potentials.

Hannah I Volpert-Esmond, Elizabeth Page-Gould, Bruce D Bartholow

Abstract readReview
In one paragraph

Review in International journal of psychophysiology : official journal of the International Organization of Psychophysiology, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 31 papers.

0numbers the graph read from it
0cells of the map it votes in
31citing papers in PubMed
–field-weighted citation impact
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

31 citing papers in PubMed.

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4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

3 authors.

Hannah I Volpert-EsmondDepartment of Psychology, University of Texas at El Paso, El Paso, TX 79968, USA. Electronic address: hivolpertes@utep.edu.
Elizabeth Page-GouldDepartment of Psychology, University of Toronto, Toronto, ON M5S, Canada.
Bruce D BartholowDepartment of Psychological Sciences, University of Missouri, Columbia, MO 65211, USA.

Funding

Supplement to Promote Diversity: Characterizing Low Alcohol Sensitivity in Laboratory and Real-World ContextsR01AA025451 · NIAAA · UNIVERSITY OF MISSOURI-COLUMBIA · PI BARTHOLOW, BRUCE D, PIASECKI, THOMAS M · 2018 to 2022
$2.7M
Racial discrimination and mental health: Temporal dynamics and neurocognitive moderatorsF31MD012751 · NIMHD · UNIVERSITY OF MISSOURI-COLUMBIA · PI VOLPERT-ESMOND, HANNAH · 2018 to 2019
$87k
NIAAA NIH HHS R01 AA025451NIMHD NIH HHS F31 MD012751
6 · The paper itself

Abstract

Multilevel modeling (MLM) is becoming increasingly accessible and popular in the analysis of event-related potentials (ERPs). In this article, we review the benefits of MLM for analyzing psychophysiological data, which often contains repeated observations within participants, and introduce some of the decision-making points in the analytic process, including how to set up the data set, specify the model, conduct hypothesis tests, and visualize the model estimates. We highlight how the use of MLM can extend the types of theoretical questions that can be answered using ERPs, including investigations of how ERPs vary meaningfully across trials within a testing session. We also address reporting practices and provide tools to calculate effect sizes and simulate power curves. Ultimately, we hope this review contributes to emerging best practices for the use of MLM with psychophysiological data.

Indexed as

Evoked PotentialsHumansMultilevel AnalysisEvent-related potentialsMultilevel modeling

Identifiers

PMID33600841
PMCPMC8050933

What OpenQuestion holds

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Registered trials

None linked

Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.