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A Model-Based Method for Detecting Persistent Cultural Change Using Panel Data
Recent work argues that changes in people’s responses to the same question over time should be thought of as reflecting a fixed baseline subject to temporary local influences, rather than durable changes in response to new information. Distinguishing between these two individual-level process—a sett...
Autores principales: | , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
2021
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8715548/ https://www.ncbi.nlm.nih.gov/pubmed/34977277 http://dx.doi.org/10.15195/v8.a5 |
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author | Vaisey, Stephen Kiley, Kevin |
author_facet | Vaisey, Stephen Kiley, Kevin |
author_sort | Vaisey, Stephen |
collection | PubMed |
description | Recent work argues that changes in people’s responses to the same question over time should be thought of as reflecting a fixed baseline subject to temporary local influences, rather than durable changes in response to new information. Distinguishing between these two individual-level process—a settled dispositions model and an active updating model—is important because these individual-level processes underlie different theories of population-level social change. This article introduces an alternative method for adjudicating between these two models based on structural equation modeling. This model provides a close fit to the theoretical models outlined in previous work. Applying this method to more than 500 questions in the General Social Survey’s three-wave panels, we find even stronger evidence than previous work that most survey responses reflect settled dispositions developed prior to adulthood. |
format | Online Article Text |
id | pubmed-8715548 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2021 |
record_format | MEDLINE/PubMed |
spelling | pubmed-87155482022-03-22 A Model-Based Method for Detecting Persistent Cultural Change Using Panel Data Vaisey, Stephen Kiley, Kevin Sociol Sci Article Recent work argues that changes in people’s responses to the same question over time should be thought of as reflecting a fixed baseline subject to temporary local influences, rather than durable changes in response to new information. Distinguishing between these two individual-level process—a settled dispositions model and an active updating model—is important because these individual-level processes underlie different theories of population-level social change. This article introduces an alternative method for adjudicating between these two models based on structural equation modeling. This model provides a close fit to the theoretical models outlined in previous work. Applying this method to more than 500 questions in the General Social Survey’s three-wave panels, we find even stronger evidence than previous work that most survey responses reflect settled dispositions developed prior to adulthood. 2021-03-22 2021 /pmc/articles/PMC8715548/ /pubmed/34977277 http://dx.doi.org/10.15195/v8.a5 Text en https://creativecommons.org/licenses/by/4.0/This open-access article has been published under a Creative Commons Attribution License, which allows unrestricted use, distribution and reproduction, in any form, as long as the original author and source have been credited. |
spellingShingle | Article Vaisey, Stephen Kiley, Kevin A Model-Based Method for Detecting Persistent Cultural Change Using Panel Data |
title | A Model-Based Method for Detecting Persistent Cultural Change Using Panel Data |
title_full | A Model-Based Method for Detecting Persistent Cultural Change Using Panel Data |
title_fullStr | A Model-Based Method for Detecting Persistent Cultural Change Using Panel Data |
title_full_unstemmed | A Model-Based Method for Detecting Persistent Cultural Change Using Panel Data |
title_short | A Model-Based Method for Detecting Persistent Cultural Change Using Panel Data |
title_sort | model-based method for detecting persistent cultural change using panel data |
topic | Article |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8715548/ https://www.ncbi.nlm.nih.gov/pubmed/34977277 http://dx.doi.org/10.15195/v8.a5 |
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