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      The social cohesion investment: Communities that invested in integration programmes are showing greater social cohesion in the midst of the COVID‐19 pandemic

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          Abstract

          Social cohesion can rise in the aftermath of natural disasters or mass tragedies, but this ‘coming together’ is often short‐lived. The early stages of the COVID‐19 pandemic witnessed marked increases in kindness and social connection, but as months passed social tensions re‐emerged or grew anew. Thus local authorities faced persistent and evolving challenges. A cross‐sectional survey ( N = 2,924) examined perceptions of social cohesion while Britain was slowly emerging from its first national lockdown in June 2020 in six English local authorities that have prioritised investment in social cohesion over the last two years (including five ‘integration areas’) compared with three other areas that have not. We expected that social cohesion programmes would better equip people to tackle the various challenges of the COVID‐19 pandemic. We found a greater sense of social cohesion in the six local authorities (at the micro, meso and macro levels) than in other areas. This was manifested as higher levels of reported social activism, interpersonal trust and closer personal relationships, greater political trust and more positive attitudes towards immigrants. Findings are consistent with the proposition that investing in social cohesion underpins stronger and more connected and open communities, better able to cope with crisis situations.

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          Cutoff criteria for fit indexes in covariance structure analysis: Conventional criteria versus new alternatives

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            lavaan: AnRPackage for Structural Equation Modeling

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              Comparative fit indexes in structural models.

              Normed and nonnormed fit indexes are frequently used as adjuncts to chi-square statistics for evaluating the fit of a structural model. A drawback of existing indexes is that they estimate no known population parameters. A new coefficient is proposed to summarize the relative reduction in the noncentrality parameters of two nested models. Two estimators of the coefficient yield new normed (CFI) and nonnormed (FI) fit indexes. CFI avoids the underestimation of fit often noted in small samples for Bentler and Bonett's (1980) normed fit index (NFI). FI is a linear function of Bentler and Bonett's non-normed fit index (NNFI) that avoids the extreme underestimation and overestimation often found in NNFI. Asymptotically, CFI, FI, NFI, and a new index developed by Bollen are equivalent measures of comparative fit, whereas NNFI measures relative fit by comparing noncentrality per degree of freedom. All of the indexes are generalized to permit use of Wald and Lagrange multiplier statistics. An example illustrates the behavior of these indexes under conditions of correct specification and misspecification. The new fit indexes perform very well at all sample sizes.
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                Author and article information

                Contributors
                f.lalot@kent.ac.uk
                Journal
                J Community Appl Soc Psychol
                J Community Appl Soc Psychol
                10.1002/(ISSN)1099-1298
                CASP
                Journal of Community & Applied Social Psychology
                John Wiley and Sons Inc. (Hoboken )
                1052-9284
                1099-1298
                05 April 2021
                : 10.1002/casp.2522
                Affiliations
                [ 1 ] Centre for the Study of Group Processes University of Kent Canterbury UK
                [ 2 ] Belong—The Cohesion and Integration Network Manchester UK
                Author notes
                [*] [* ] Correspondence

                Fanny Lalot, School of Psychology, Keynes College, University of Kent, University road, Canterbury CT2 7NP, UK.

                Email: f.lalot@ 123456kent.ac.uk

                Author information
                https://orcid.org/0000-0002-1237-5585
                https://orcid.org/0000-0002-2113-4572
                Article
                CASP2522
                10.1002/casp.2522
                8251431
                34230795
                08bfe5be-533f-4289-8c78-537f62a2ecf7
                © 2021 The Authors. Journal of Community & Applied Social Psychology published by John Wiley & Sons Ltd.

                This is an open access article under the terms of the http://creativecommons.org/licenses/by/4.0/ License, which permits use, distribution and reproduction in any medium, provided the original work is properly cited.

                History
                : 17 March 2021
                : 01 October 2020
                : 17 March 2021
                Page count
                Figures: 1, Tables: 4, Pages: 19, Words: 11555
                Funding
                Funded by: Nuffield Foundation , open-funder-registry 10.13039/501100000279;
                Award ID: WEL/FR‐000022582
                Categories
                Research Article
                Research Articles
                Custom metadata
                2.0
                corrected-proof
                Converter:WILEY_ML3GV2_TO_JATSPMC version:6.0.4 mode:remove_FC converted:02.07.2021

                community psychology,covid‐19,integrated communities,social cohesion

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