Latent Profile Analyses of Explanations about the Origin of SARS-CoV-2 Within and Across Countries

Research on belief endorsement typically estimates an average mean value to describe all individuals even though groups of individuals can have coexisting beliefs within the mind. This study employed a person-centered approach based on latent profile analysis (LPA) to investigate within- and between-population variation in the endorsement patterns of multiple explanations for the origin of SARS-CoV-2, including zoonotic, human-made, and supernatural explanations, across eleven countries. Results revealed seven latent profiles that varied in the number and type of explanations endorsed, as well as the degree of certainty associated with each. Among demographic characteristics, political orientation and religious affiliation predict whether particular types of explanations are endorsed or rejected. Latent profiles characterized by explanatory uncertainty and endorsement of conspiratorial explanations were less likely to wear masks and vaccinate. We discuss the implications of person-centered analytical approaches for documenting variation in explanation endorsement and as predictors of behavioral health outcomes.

Authors

Publication Details

Published
2025-10-02
DOI
https://doi.org/10.31234/osf.io/ab4gk_v2
Primary Topic
Data-Driven Disease Surveillance
Type
article
Field-Weighted Citation Impact
0.00
Controls
|||
ALL TIME
JAN
FEB
MAR
APR
MAY
JUN
JUL
AUG
SEP
OCT
article

Latent Profile Analyses of Explanations about the Origin of SARS-CoV-2 Within and Across Countries

Cristine H. Legare, Oskar Bürger, Bruce Rawlings, Bankole Falade et al.
Data-Driven Disease Surveillance
article

Latent Profile Analyses of Explanations about the Origin of SARS-CoV-2 Within and Across Countries

Cristine H. Legare, Oskar Bürger, Bruce Rawlings, Bankole Falade, Micah B. Goldwater, Jesse Peregrino, Hannah G. Lunkenheimer, Stephanie J. Eder, Frankie T. K. Fong, Alejandro Erut, Christopher Kavanagh, Heslley Machado Silva, Faiz Ahmad Hashmi, Yasuhiro Suzuki, Gonzalo Peñaloza Jiménez, A. Kertesz, Alexander Etz, Nargiza Babaeva
article en

Abstract

Research on belief endorsement typically estimates an average mean value to describe all individuals even though groups of individuals can have coexisting beliefs within the mind. This study employed a person-centered approach based on latent profile analysis (LPA) to investigate within- and between-population variation in the endorsement patterns of multiple explanations for the origin of SARS-CoV-2, including zoonotic, human-made, and supernatural explanations, across eleven countries. Results revealed seven latent profiles that varied in the number and type of explanations endorsed, as well as the degree of certainty associated with each. Among demographic characteristics, political orientation and religious affiliation predict whether particular types of explanations are endorsed or rejected. Latent profiles characterized by explanatory uncertainty and endorsement of conspiratorial explanations were less likely to wear masks and vaccinate. We discuss the implications of person-centered analytical approaches for documenting variation in explanation endorsement and as predictors of behavioral health outcomes.

Openalex Percentile: Top 63%
Data-Driven Disease Surveillance
AI Navigator

Ask Laika to Summarize, Analyze, and Connect papers live on the map.

Summarize Papers & Methodologies

Extract key findings, datasets, and comparative methods across publications.

Benchmark Rankings & Visual Analytics

Rank top research institutions, authors, funders, topics, and journals by Field-Weighted Citation Impact (FWCI) and paper volume with instant charts.

Connect Distant Disciplines

Bridge topological clusters on the map to find hidden collaborative intersections.