Does intelligence have nonlinear effects on political opinions?

<p style="line-height:1.38"><span style="font-size:11pt; font-variant:normal; white-space:pre-wrap"><span style="font-family:Arial,sans-serif"><span style="color:#000000"><span style="font-weight:400"><span style="font-style:normal"><span style="text-decoration:none">We sought to study intelligence&rsquo;s relationship with political opinions with particular interest in nonlinear associations. We surveyed 1,003 American adults using Prolific, where we measured English vocabulary ability, as well as 26 political opinions. We find that intelligence has detectable linear associations with most political opinions (21 of 26). Using natural splines and the multivariate adaptive regression splines (MARS) algorithm, we find evidence of nonlinear effects on both individual opinions (15 of 26) and a general conservatism score. Specifically, the association between intelligence and conservatism is mainly negative, but becomes positive in the right tail.</span></span></span></span></span></span>

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Publication Details

Journal
OpenPsych
Published
2025-03-24
DOI
https://doi.org/10.26775/op.2025.03.24
Primary Topic
Neural Networks and Reservoir Computing
Type
article
Field-Weighted Citation Impact
0.00
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article

Does intelligence have nonlinear effects on political opinions?

Emil O. W. Kirkegaard
OpenPsych
Neural Networks and Reservoir Computing
article

Does intelligence have nonlinear effects on political opinions?

Emil O. W. Kirkegaard
article en

Abstract

<p style="line-height:1.38"><span style="font-size:11pt; font-variant:normal; white-space:pre-wrap"><span style="font-family:Arial,sans-serif"><span style="color:#000000"><span style="font-weight:400"><span style="font-style:normal"><span style="text-decoration:none">We sought to study intelligence&rsquo;s relationship with political opinions with particular interest in nonlinear associations. We surveyed 1,003 American adults using Prolific, where we measured English vocabulary ability, as well as 26 political opinions. We find that intelligence has detectable linear associations with most political opinions (21 of 26). Using natural splines and the multivariate adaptive regression splines (MARS) algorithm, we find evidence of nonlinear effects on both individual opinions (15 of 26) and a general conservatism score. Specifically, the association between intelligence and conservatism is mainly negative, but becomes positive in the right tail.</span></span></span></span></span></span>

OpenPsych
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Neural Networks and Reservoir Computing
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