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10.1111/bjso.12396 http://scihub22266oqcxt.onion/10.1111/bjso.12396 32621294!7361608!32621294     free     free     free Deprecated: Implicit conversion from float 213.6 to int loses precision in C:\Inetpub\vhosts\kidney.de\httpdocs\pget.php on line 534 Deprecated: Implicit conversion from float 213.6 to int loses precision in C:\Inetpub\vhosts\kidney.de\httpdocs\pget.php on line 534 Deprecated: Implicit conversion from float 213.6 to int loses precision in C:\Inetpub\vhosts\kidney.de\httpdocs\pget.php on line 534 Deprecated: Implicit conversion from float 213.6 to int loses precision in C:\Inetpub\vhosts\kidney.de\httpdocs\pget.php on line 534 Deprecated: Implicit conversion from float 213.6 to int loses precision in C:\Inetpub\vhosts\kidney.de\httpdocs\pget.php on line 534 Deprecated: Implicit conversion from float 213.6 to int loses precision in C:\Inetpub\vhosts\kidney.de\httpdocs\pget.php on line 534 Deprecated: Implicit conversion from float 213.6 to int loses precision in C:\Inetpub\vhosts\kidney.de\httpdocs\pget.php on line 534 Deprecated: Implicit conversion from float 247.2 to int loses precision in C:\Inetpub\vhosts\kidney.de\httpdocs\pget.php on line 534 Deprecated: Implicit conversion from float 247.2 to int loses precision in C:\Inetpub\vhosts\kidney.de\httpdocs\pget.php on line 534 Deprecated: Implicit conversion from float 247.2 to int loses precision in C:\Inetpub\vhosts\kidney.de\httpdocs\pget.php on line 534 Deprecated: Implicit conversion from float 247.2 to int loses precision in C:\Inetpub\vhosts\kidney.de\httpdocs\pget.php on line 534 Deprecated: Implicit conversion from float 247.2 to int loses precision in C:\Inetpub\vhosts\kidney.de\httpdocs\pget.php on line 534 Deprecated: Implicit conversion from float 247.2 to int loses precision in C:\Inetpub\vhosts\kidney.de\httpdocs\pget.php on line 534 Deprecated: Implicit conversion from float 247.2 to int loses precision in C:\Inetpub\vhosts\kidney.de\httpdocs\pget.php on line 534       Br+J+Soc+Psychol 2020 ; 59 (3): 641-652 Nephropedia Template TP {{tp|p=32621294|t=2020. Mapping public health responses with attitude networks: the emergence of opinion-based groups in the UK s early COVID-19 response phase |pdf=|usr=}}{{32621294}} gab.com Text Mapping public health responses with attitude networks: the emergence of opinion-based groups in the UK s early COVID-19 response phase JO: Br J Soc Psychol http://www.kidney.de/pget.php?&tw=1&pmid=32621294 #FOAvip Partisan patterns of compliance with public health measures are a feature of early COVID-19 responses. In many cases, these differences in behaviour relate to pre-existing group identities. However, in times of rapid societal change, novel opinion-based groups can emerge and provide a new basis for partisan identification and divergent collective behaviour. Here, we use network methods to map the emergence of opposing opinion-based groups and assess their implications for public health behaviour. In a longitudinal study, we tracked public health attitudes and self-reported behaviour in a sample of UK participants over four time points. Network visualisation reveal a rift in attitudinal alignment over time and the genesis of two distinct groups characterised by trust, or distrust, in science (Study 1a; N = 253). These groups also diverge in public health behaviour. In a brief follow-up study (N = 206), we find that this opinion polarization partially reflects underlying societal divides. We discuss implications for opinion-based group research and public health campaigns. Twit Text FOAVip Mapping public health responses with attitude networks: the emergence of opinion-based groups in the UK s early COVID-19 response phase ????Br J Soc Psychol http://www.kidney.de/pget.php?&tw=1&pmid=32621294 #FOAvip Twit Text # Free Paper on # # # # # LINK http://www.kidney.de/pget.php?&tw=1&pmid=32621294 #FOAvip English Wikipedia <ref>{{Cite pmid|32621294}}</ref> Mapping public health responses with attitude networks: the emergence of opinion-based groups in the UK s early COVID-19 response phase #MMPMID32621294 Maher PJ; MacCarron P; Quayle M Br J Soc Psychol 2020[Jul]; 59 (3): 641-652 PMID32621294show ga Partisan patterns of compliance with public health measures are a feature of early COVID-19 responses. In many cases, these differences in behaviour relate to pre-existing group identities. However, in times of rapid societal change, novel opinion-based groups can emerge and provide a new basis for partisan identification and divergent collective behaviour. Here, we use network methods to map the emergence of opposing opinion-based groups and assess their implications for public health behaviour. In a longitudinal study, we tracked public health attitudes and self-reported behaviour in a sample of UK participants over four time points. Network visualisation reveal a rift in attitudinal alignment over time and the genesis of two distinct groups characterised by trust, or distrust, in science (Study 1a; N = 253). These groups also diverge in public health behaviour. In a brief follow-up study (N = 206), we find that this opinion polarization partially reflects underlying societal divides. We discuss implications for opinion-based group research and public health campaigns. |*Attitude to Health[MESH] |*Betacoronavirus[MESH] |*Public Opinion[MESH] |Adult[MESH] |COVID-19[MESH] |Coronavirus Infections/prevention & control/*psychology[MESH] |Female[MESH] |Health Promotion[MESH] |Humans[MESH] |Male[MESH] |Pandemics/prevention & control[MESH] |Pneumonia, Viral/prevention & control/*psychology[MESH] |Politics[MESH] |Public Health[MESH] |Risk Reduction Behavior[MESH] |SARS-CoV-2[MESH] |Self Report[MESH] |Socioeconomic Factors[MESH] |Trust/psychology[MESH]Mapping public health responses with attitude networks: the emergence (epmc).pdf DeepDyve Pubget Overpricing