Citizen attitudes toward science and technology, 1957–2020: measurement, stability, and the Trump challenge
Abstract In democratic societies around the world, the number of science policy decisions is increasing. One of the fundamental principles of democracy is that citizens should be able to understand the issues before them. Using a 63-year cross-sectional US data set, we use confirmatory factor analys...
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| Veröffentlicht in: | Science & public policy 2024-05, Vol.51 (3), p.526-542 |
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| creator | Miller, Jon D Laspra, Belén Polino, Carmelo Branch, Glenn Ackerman, Mark S Pennock, Robert T |
| description | Abstract
In democratic societies around the world, the number of science policy decisions is increasing. One of the fundamental principles of democracy is that citizens should be able to understand the issues before them. Using a 63-year cross-sectional US data set, we use confirmatory factor analysis to construct and test a two-dimensional measure of attitude to science and technology that has been relatively stable over the last six decades. Previous and current research tells us that only one in three US adults is scientifically literate, meaning that trust in scientific expertise is important to many citizens. We find that trust in scientific expertise polarized during the Trump administration. Using the same data set, we construct two structural equation models to determine the factors that predict positive attitudes toward science and technology. Comparing 2016 and 2020, we find that the Trump attacks on science did not reduce public support for science. |
| doi_str_mv | 10.1093/scipol/scad086 |
| format | Article |
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In democratic societies around the world, the number of science policy decisions is increasing. One of the fundamental principles of democracy is that citizens should be able to understand the issues before them. Using a 63-year cross-sectional US data set, we use confirmatory factor analysis to construct and test a two-dimensional measure of attitude to science and technology that has been relatively stable over the last six decades. Previous and current research tells us that only one in three US adults is scientifically literate, meaning that trust in scientific expertise is important to many citizens. We find that trust in scientific expertise polarized during the Trump administration. Using the same data set, we construct two structural equation models to determine the factors that predict positive attitudes toward science and technology. Comparing 2016 and 2020, we find that the Trump attacks on science did not reduce public support for science.</description><identifier>ISSN: 0302-3427</identifier><identifier>EISSN: 1471-5430</identifier><identifier>DOI: 10.1093/scipol/scad086</identifier><language>eng</language><publisher>UK: Oxford University Press</publisher><subject>Adults ; Attitudes ; Citizens ; Confirmatory factor analysis ; Democracy ; Experts ; Factor analysis ; Measurement ; Public opinion ; Science and technology ; Science policy ; Structural equation modeling</subject><ispartof>Science & public policy, 2024-05, Vol.51 (3), p.526-542</ispartof><rights>The Author(s) 2024. Published by Oxford University Press. All rights reserved. For permissions, please e-mail: journals.permissions@oup.com 2024</rights><rights>The Author(s) 2024. Published by Oxford University Press. All rights reserved. For permissions, please e-mail: journals.permissions@oup.com</rights><lds50>peer_reviewed</lds50><woscitedreferencessubscribed>false</woscitedreferencessubscribed><cites>FETCH-LOGICAL-c186t-73822250ca16d609f2094c71d1264b6b1eb73cc2c3ef91eb9afb9cbad0667a713</cites><orcidid>0000-0001-8714-0126 ; 0000-0003-1789-8024</orcidid></display><links><openurl>$$Topenurl_article</openurl><openurlfulltext>$$Topenurlfull_article</openurlfulltext><thumbnail>$$Tsyndetics_thumb_exl</thumbnail><link.rule.ids>314,777,781,1579,27847,27905,27906</link.rule.ids></links><search><creatorcontrib>Miller, Jon D</creatorcontrib><creatorcontrib>Laspra, Belén</creatorcontrib><creatorcontrib>Polino, Carmelo</creatorcontrib><creatorcontrib>Branch, Glenn</creatorcontrib><creatorcontrib>Ackerman, Mark S</creatorcontrib><creatorcontrib>Pennock, Robert T</creatorcontrib><title>Citizen attitudes toward science and technology, 1957–2020: measurement, stability, and the Trump challenge</title><title>Science & public policy</title><description>Abstract
In democratic societies around the world, the number of science policy decisions is increasing. One of the fundamental principles of democracy is that citizens should be able to understand the issues before them. Using a 63-year cross-sectional US data set, we use confirmatory factor analysis to construct and test a two-dimensional measure of attitude to science and technology that has been relatively stable over the last six decades. Previous and current research tells us that only one in three US adults is scientifically literate, meaning that trust in scientific expertise is important to many citizens. We find that trust in scientific expertise polarized during the Trump administration. Using the same data set, we construct two structural equation models to determine the factors that predict positive attitudes toward science and technology. Comparing 2016 and 2020, we find that the Trump attacks on science did not reduce public support for science.</description><subject>Adults</subject><subject>Attitudes</subject><subject>Citizens</subject><subject>Confirmatory factor analysis</subject><subject>Democracy</subject><subject>Experts</subject><subject>Factor analysis</subject><subject>Measurement</subject><subject>Public opinion</subject><subject>Science and technology</subject><subject>Science policy</subject><subject>Structural equation modeling</subject><issn>0302-3427</issn><issn>1471-5430</issn><fulltext>true</fulltext><rsrctype>article</rsrctype><creationdate>2024</creationdate><recordtype>article</recordtype><sourceid>7TQ</sourceid><recordid>eNqFkM1OwzAQhC0EEqVw5WyJE1JT1nZqJ9xQxZ9UiUs5R46zaVPlD9sRKifegTfkSTCkdy47WumbWe0QcslgziAVN85UfVcH0QUk8ohMWKxYtIgFHJMJCOCRiLk6JWfO7QCAJ_FiQppl5asPbKn2vvJDgY767l3bgoY4bA1S3RbUo9m2Xd1t9jPK0oX6_vziwOGWNqjdYLHB1s-o8zqv6soH6M-0Rbq2Q9NTs9V1je0Gz8lJqWuHFwedkteH-_XyKVq9PD4v71aRYYn0kRIJ53wBRjNZSEhLDmlsFCsYl3Euc4a5EsZwI7BMw5LqMk9NHv6WUmnFxJRcjbm97d4GdD7bdYNtw8lMMJ5AGFwFaj5SxnbOWSyz3laNtvuMQfZbaTZWmh0qDYbr0dAN_X_sD5xzez4</recordid><startdate>20240531</startdate><enddate>20240531</enddate><creator>Miller, Jon D</creator><creator>Laspra, Belén</creator><creator>Polino, Carmelo</creator><creator>Branch, Glenn</creator><creator>Ackerman, Mark S</creator><creator>Pennock, Robert T</creator><general>Oxford University Press</general><scope>AAYXX</scope><scope>CITATION</scope><scope>7TQ</scope><scope>8BJ</scope><scope>DHY</scope><scope>DON</scope><scope>FQK</scope><scope>JBE</scope><orcidid>https://orcid.org/0000-0001-8714-0126</orcidid><orcidid>https://orcid.org/0000-0003-1789-8024</orcidid></search><sort><creationdate>20240531</creationdate><title>Citizen attitudes toward science and technology, 1957–2020: measurement, stability, and the Trump challenge</title><author>Miller, Jon D ; Laspra, Belén ; Polino, Carmelo ; Branch, Glenn ; Ackerman, Mark S ; Pennock, Robert T</author></sort><facets><frbrtype>5</frbrtype><frbrgroupid>cdi_FETCH-LOGICAL-c186t-73822250ca16d609f2094c71d1264b6b1eb73cc2c3ef91eb9afb9cbad0667a713</frbrgroupid><rsrctype>articles</rsrctype><prefilter>articles</prefilter><language>eng</language><creationdate>2024</creationdate><topic>Adults</topic><topic>Attitudes</topic><topic>Citizens</topic><topic>Confirmatory factor analysis</topic><topic>Democracy</topic><topic>Experts</topic><topic>Factor analysis</topic><topic>Measurement</topic><topic>Public opinion</topic><topic>Science and technology</topic><topic>Science policy</topic><topic>Structural equation modeling</topic><toplevel>peer_reviewed</toplevel><toplevel>online_resources</toplevel><creatorcontrib>Miller, Jon D</creatorcontrib><creatorcontrib>Laspra, Belén</creatorcontrib><creatorcontrib>Polino, Carmelo</creatorcontrib><creatorcontrib>Branch, Glenn</creatorcontrib><creatorcontrib>Ackerman, Mark S</creatorcontrib><creatorcontrib>Pennock, Robert T</creatorcontrib><collection>CrossRef</collection><collection>PAIS Index</collection><collection>International Bibliography of the Social Sciences (IBSS)</collection><collection>PAIS International</collection><collection>PAIS International (Ovid)</collection><collection>International Bibliography of the Social Sciences</collection><collection>International Bibliography of the Social Sciences</collection><jtitle>Science & public policy</jtitle></facets><delivery><delcategory>Remote Search Resource</delcategory><fulltext>fulltext</fulltext></delivery><addata><au>Miller, Jon D</au><au>Laspra, Belén</au><au>Polino, Carmelo</au><au>Branch, Glenn</au><au>Ackerman, Mark S</au><au>Pennock, Robert T</au><format>journal</format><genre>article</genre><ristype>JOUR</ristype><atitle>Citizen attitudes toward science and technology, 1957–2020: measurement, stability, and the Trump challenge</atitle><jtitle>Science & public policy</jtitle><date>2024-05-31</date><risdate>2024</risdate><volume>51</volume><issue>3</issue><spage>526</spage><epage>542</epage><pages>526-542</pages><issn>0302-3427</issn><eissn>1471-5430</eissn><abstract>Abstract
In democratic societies around the world, the number of science policy decisions is increasing. One of the fundamental principles of democracy is that citizens should be able to understand the issues before them. Using a 63-year cross-sectional US data set, we use confirmatory factor analysis to construct and test a two-dimensional measure of attitude to science and technology that has been relatively stable over the last six decades. Previous and current research tells us that only one in three US adults is scientifically literate, meaning that trust in scientific expertise is important to many citizens. We find that trust in scientific expertise polarized during the Trump administration. Using the same data set, we construct two structural equation models to determine the factors that predict positive attitudes toward science and technology. Comparing 2016 and 2020, we find that the Trump attacks on science did not reduce public support for science.</abstract><cop>UK</cop><pub>Oxford University Press</pub><doi>10.1093/scipol/scad086</doi><tpages>17</tpages><orcidid>https://orcid.org/0000-0001-8714-0126</orcidid><orcidid>https://orcid.org/0000-0003-1789-8024</orcidid></addata></record> |
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| ispartof | Science & public policy, 2024-05, Vol.51 (3), p.526-542 |
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| source | PAIS Index; Oxford University Press Journals All Titles (1996-Current) |
| subjects | Adults Attitudes Citizens Confirmatory factor analysis Democracy Experts Factor analysis Measurement Public opinion Science and technology Science policy Structural equation modeling |
| title | Citizen attitudes toward science and technology, 1957–2020: measurement, stability, and the Trump challenge |
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