The Methodological Contributions of the Barometer of Social Capital (BARCAS) to the Measurement of Social Capital
Abstract This study examines the complexity of measuring social capital and presents the Barometer of Social Capital (BARCAS) as a comprehensive research methodology to do so. The BARCAS is a multilevel, multi-setting, multivariate, and cross-national instrument developed in Colombia and applied fou...
Ausführliche Beschreibung
Gespeichert in:
| Autor*in: |
Sudarsky, John [verfasserIn] |
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| Format: |
E-Artikel |
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| Sprache: |
Englisch |
| Erschienen: |
2022 |
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| Schlagwörter: |
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| Anmerkung: |
© The Author(s) 2022 |
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| Übergeordnetes Werk: |
Enthalten in: Social indicators research - Dordrecht [u.a.] : Springer Science + Business Media B.V., 1974, 164(2022), 3 vom: 03. Sept., Seite 1349-1377 |
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| Übergeordnetes Werk: |
volume:164 ; year:2022 ; number:3 ; day:03 ; month:09 ; pages:1349-1377 |
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| DOI / URN: |
10.1007/s11205-022-02999-2 |
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SPR048745375 |
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| 520 | |a Abstract This study examines the complexity of measuring social capital and presents the Barometer of Social Capital (BARCAS) as a comprehensive research methodology to do so. The BARCAS is a multilevel, multi-setting, multivariate, and cross-national instrument developed in Colombia and applied four times over two decades, in 1997, 2005, 2011, and 2017. Throughout each of the four measurements, a variety of methods were used to improve the explained variance of the model and disaggregate dimensions into variables and items to determine their contribution to a factor’s average change. The learning and refining processes undertaken to improve the BARCAS are described in detail. Ultimately, the 2017 iteration of the BARCAS presents us with four factors that make up social capital and explain 76% of the variance: Social Fabric, Civic Capital, Institutional Trust and Indirect Control of the State, and Faith in Unvalidated Sources of Information. Factor analysis of dimensions differentiated the factors and produced factor scores or dependent variables for each respondent. The surprising volatility of the factors’ composition and levels over time indicates that the current research strategy of piecemeal hypothesis testing should be complemented by a more clinical approach, given the wide variety of intervening elements present at any given place and time. Further research could uncover whether BARCAS dimensions and factors are universal to all societies. It is hoped that the lessons learned with the BARCAS can be used by other researchers in similar endeavors. | ||
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10.1007/s11205-022-02999-2 doi (DE-627)SPR048745375 (SPR)s11205-022-02999-2-e DE-627 ger DE-627 rakwb eng Sudarsky, John verfasserin (orcid)0000-0002-0459-4665 aut The Methodological Contributions of the Barometer of Social Capital (BARCAS) to the Measurement of Social Capital 2022 Text txt rdacontent Computermedien c rdamedia Online-Ressource cr rdacarrier © The Author(s) 2022 Abstract This study examines the complexity of measuring social capital and presents the Barometer of Social Capital (BARCAS) as a comprehensive research methodology to do so. The BARCAS is a multilevel, multi-setting, multivariate, and cross-national instrument developed in Colombia and applied four times over two decades, in 1997, 2005, 2011, and 2017. Throughout each of the four measurements, a variety of methods were used to improve the explained variance of the model and disaggregate dimensions into variables and items to determine their contribution to a factor’s average change. The learning and refining processes undertaken to improve the BARCAS are described in detail. Ultimately, the 2017 iteration of the BARCAS presents us with four factors that make up social capital and explain 76% of the variance: Social Fabric, Civic Capital, Institutional Trust and Indirect Control of the State, and Faith in Unvalidated Sources of Information. Factor analysis of dimensions differentiated the factors and produced factor scores or dependent variables for each respondent. The surprising volatility of the factors’ composition and levels over time indicates that the current research strategy of piecemeal hypothesis testing should be complemented by a more clinical approach, given the wide variety of intervening elements present at any given place and time. Further research could uncover whether BARCAS dimensions and factors are universal to all societies. It is hoped that the lessons learned with the BARCAS can be used by other researchers in similar endeavors. Social capital measurement methodology (dpeaa)DE-He213 Social capital (dpeaa)DE-He213 Colombia (dpeaa)DE-He213 Social fabric (dpeaa)DE-He213 Civic capital (dpeaa)DE-He213 Social media (dpeaa)DE-He213 Social capital and Political sociology (dpeaa)DE-He213 García, Diana (orcid)0000-0002-8678-5245 aut Sudarsky, Jerónimo (orcid)0000-0001-9198-0726 aut Enthalten in Social indicators research Dordrecht [u.a.] : Springer Science + Business Media B.V., 1974 164(2022), 3 vom: 03. Sept., Seite 1349-1377 (DE-627)320589161 (DE-600)2018687-3 1573-0921 nnns volume:164 year:2022 number:3 day:03 month:09 pages:1349-1377 https://dx.doi.org/10.1007/s11205-022-02999-2 kostenfrei Volltext GBV_USEFLAG_A SYSFLAG_A GBV_SPRINGER GBV_ILN_11 GBV_ILN_20 GBV_ILN_22 GBV_ILN_23 GBV_ILN_24 GBV_ILN_31 GBV_ILN_32 GBV_ILN_39 GBV_ILN_40 GBV_ILN_60 GBV_ILN_62 GBV_ILN_63 GBV_ILN_69 GBV_ILN_70 GBV_ILN_73 GBV_ILN_74 GBV_ILN_90 GBV_ILN_95 GBV_ILN_100 GBV_ILN_101 GBV_ILN_105 GBV_ILN_110 GBV_ILN_120 GBV_ILN_138 GBV_ILN_150 GBV_ILN_151 GBV_ILN_152 GBV_ILN_161 GBV_ILN_165 GBV_ILN_170 GBV_ILN_171 GBV_ILN_187 GBV_ILN_213 GBV_ILN_224 GBV_ILN_230 GBV_ILN_250 GBV_ILN_281 GBV_ILN_285 GBV_ILN_293 GBV_ILN_370 GBV_ILN_374 GBV_ILN_602 GBV_ILN_636 GBV_ILN_702 GBV_ILN_2001 GBV_ILN_2003 GBV_ILN_2004 GBV_ILN_2005 GBV_ILN_2006 GBV_ILN_2007 GBV_ILN_2008 GBV_ILN_2009 GBV_ILN_2010 GBV_ILN_2011 GBV_ILN_2014 GBV_ILN_2015 GBV_ILN_2018 GBV_ILN_2020 GBV_ILN_2021 GBV_ILN_2025 GBV_ILN_2026 GBV_ILN_2027 GBV_ILN_2031 GBV_ILN_2034 GBV_ILN_2037 GBV_ILN_2038 GBV_ILN_2039 GBV_ILN_2044 GBV_ILN_2048 GBV_ILN_2049 GBV_ILN_2050 GBV_ILN_2055 GBV_ILN_2056 GBV_ILN_2057 GBV_ILN_2059 GBV_ILN_2061 GBV_ILN_2064 GBV_ILN_2065 GBV_ILN_2068 GBV_ILN_2088 GBV_ILN_2093 GBV_ILN_2106 GBV_ILN_2107 GBV_ILN_2108 GBV_ILN_2110 GBV_ILN_2111 GBV_ILN_2112 GBV_ILN_2113 GBV_ILN_2118 GBV_ILN_2122 GBV_ILN_2129 GBV_ILN_2143 GBV_ILN_2144 GBV_ILN_2147 GBV_ILN_2148 GBV_ILN_2152 GBV_ILN_2153 GBV_ILN_2188 GBV_ILN_2190 GBV_ILN_2232 GBV_ILN_2336 GBV_ILN_2446 GBV_ILN_2470 GBV_ILN_2472 GBV_ILN_2507 GBV_ILN_2522 GBV_ILN_2548 GBV_ILN_2937 GBV_ILN_2949 GBV_ILN_2950 GBV_ILN_4012 GBV_ILN_4035 GBV_ILN_4037 GBV_ILN_4046 GBV_ILN_4112 GBV_ILN_4125 GBV_ILN_4126 GBV_ILN_4242 GBV_ILN_4246 GBV_ILN_4249 GBV_ILN_4251 GBV_ILN_4305 GBV_ILN_4306 GBV_ILN_4307 GBV_ILN_4313 GBV_ILN_4322 GBV_ILN_4323 GBV_ILN_4324 GBV_ILN_4325 GBV_ILN_4326 GBV_ILN_4328 GBV_ILN_4333 GBV_ILN_4334 GBV_ILN_4335 GBV_ILN_4336 GBV_ILN_4338 GBV_ILN_4346 GBV_ILN_4393 GBV_ILN_4700 AR 164 2022 3 03 09 1349-1377 |
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10.1007/s11205-022-02999-2 doi (DE-627)SPR048745375 (SPR)s11205-022-02999-2-e DE-627 ger DE-627 rakwb eng Sudarsky, John verfasserin (orcid)0000-0002-0459-4665 aut The Methodological Contributions of the Barometer of Social Capital (BARCAS) to the Measurement of Social Capital 2022 Text txt rdacontent Computermedien c rdamedia Online-Ressource cr rdacarrier © The Author(s) 2022 Abstract This study examines the complexity of measuring social capital and presents the Barometer of Social Capital (BARCAS) as a comprehensive research methodology to do so. The BARCAS is a multilevel, multi-setting, multivariate, and cross-national instrument developed in Colombia and applied four times over two decades, in 1997, 2005, 2011, and 2017. Throughout each of the four measurements, a variety of methods were used to improve the explained variance of the model and disaggregate dimensions into variables and items to determine their contribution to a factor’s average change. The learning and refining processes undertaken to improve the BARCAS are described in detail. Ultimately, the 2017 iteration of the BARCAS presents us with four factors that make up social capital and explain 76% of the variance: Social Fabric, Civic Capital, Institutional Trust and Indirect Control of the State, and Faith in Unvalidated Sources of Information. Factor analysis of dimensions differentiated the factors and produced factor scores or dependent variables for each respondent. The surprising volatility of the factors’ composition and levels over time indicates that the current research strategy of piecemeal hypothesis testing should be complemented by a more clinical approach, given the wide variety of intervening elements present at any given place and time. Further research could uncover whether BARCAS dimensions and factors are universal to all societies. It is hoped that the lessons learned with the BARCAS can be used by other researchers in similar endeavors. Social capital measurement methodology (dpeaa)DE-He213 Social capital (dpeaa)DE-He213 Colombia (dpeaa)DE-He213 Social fabric (dpeaa)DE-He213 Civic capital (dpeaa)DE-He213 Social media (dpeaa)DE-He213 Social capital and Political sociology (dpeaa)DE-He213 García, Diana (orcid)0000-0002-8678-5245 aut Sudarsky, Jerónimo (orcid)0000-0001-9198-0726 aut Enthalten in Social indicators research Dordrecht [u.a.] : Springer Science + Business Media B.V., 1974 164(2022), 3 vom: 03. Sept., Seite 1349-1377 (DE-627)320589161 (DE-600)2018687-3 1573-0921 nnns volume:164 year:2022 number:3 day:03 month:09 pages:1349-1377 https://dx.doi.org/10.1007/s11205-022-02999-2 kostenfrei Volltext GBV_USEFLAG_A SYSFLAG_A GBV_SPRINGER GBV_ILN_11 GBV_ILN_20 GBV_ILN_22 GBV_ILN_23 GBV_ILN_24 GBV_ILN_31 GBV_ILN_32 GBV_ILN_39 GBV_ILN_40 GBV_ILN_60 GBV_ILN_62 GBV_ILN_63 GBV_ILN_69 GBV_ILN_70 GBV_ILN_73 GBV_ILN_74 GBV_ILN_90 GBV_ILN_95 GBV_ILN_100 GBV_ILN_101 GBV_ILN_105 GBV_ILN_110 GBV_ILN_120 GBV_ILN_138 GBV_ILN_150 GBV_ILN_151 GBV_ILN_152 GBV_ILN_161 GBV_ILN_165 GBV_ILN_170 GBV_ILN_171 GBV_ILN_187 GBV_ILN_213 GBV_ILN_224 GBV_ILN_230 GBV_ILN_250 GBV_ILN_281 GBV_ILN_285 GBV_ILN_293 GBV_ILN_370 GBV_ILN_374 GBV_ILN_602 GBV_ILN_636 GBV_ILN_702 GBV_ILN_2001 GBV_ILN_2003 GBV_ILN_2004 GBV_ILN_2005 GBV_ILN_2006 GBV_ILN_2007 GBV_ILN_2008 GBV_ILN_2009 GBV_ILN_2010 GBV_ILN_2011 GBV_ILN_2014 GBV_ILN_2015 GBV_ILN_2018 GBV_ILN_2020 GBV_ILN_2021 GBV_ILN_2025 GBV_ILN_2026 GBV_ILN_2027 GBV_ILN_2031 GBV_ILN_2034 GBV_ILN_2037 GBV_ILN_2038 GBV_ILN_2039 GBV_ILN_2044 GBV_ILN_2048 GBV_ILN_2049 GBV_ILN_2050 GBV_ILN_2055 GBV_ILN_2056 GBV_ILN_2057 GBV_ILN_2059 GBV_ILN_2061 GBV_ILN_2064 GBV_ILN_2065 GBV_ILN_2068 GBV_ILN_2088 GBV_ILN_2093 GBV_ILN_2106 GBV_ILN_2107 GBV_ILN_2108 GBV_ILN_2110 GBV_ILN_2111 GBV_ILN_2112 GBV_ILN_2113 GBV_ILN_2118 GBV_ILN_2122 GBV_ILN_2129 GBV_ILN_2143 GBV_ILN_2144 GBV_ILN_2147 GBV_ILN_2148 GBV_ILN_2152 GBV_ILN_2153 GBV_ILN_2188 GBV_ILN_2190 GBV_ILN_2232 GBV_ILN_2336 GBV_ILN_2446 GBV_ILN_2470 GBV_ILN_2472 GBV_ILN_2507 GBV_ILN_2522 GBV_ILN_2548 GBV_ILN_2937 GBV_ILN_2949 GBV_ILN_2950 GBV_ILN_4012 GBV_ILN_4035 GBV_ILN_4037 GBV_ILN_4046 GBV_ILN_4112 GBV_ILN_4125 GBV_ILN_4126 GBV_ILN_4242 GBV_ILN_4246 GBV_ILN_4249 GBV_ILN_4251 GBV_ILN_4305 GBV_ILN_4306 GBV_ILN_4307 GBV_ILN_4313 GBV_ILN_4322 GBV_ILN_4323 GBV_ILN_4324 GBV_ILN_4325 GBV_ILN_4326 GBV_ILN_4328 GBV_ILN_4333 GBV_ILN_4334 GBV_ILN_4335 GBV_ILN_4336 GBV_ILN_4338 GBV_ILN_4346 GBV_ILN_4393 GBV_ILN_4700 AR 164 2022 3 03 09 1349-1377 |
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10.1007/s11205-022-02999-2 doi (DE-627)SPR048745375 (SPR)s11205-022-02999-2-e DE-627 ger DE-627 rakwb eng Sudarsky, John verfasserin (orcid)0000-0002-0459-4665 aut The Methodological Contributions of the Barometer of Social Capital (BARCAS) to the Measurement of Social Capital 2022 Text txt rdacontent Computermedien c rdamedia Online-Ressource cr rdacarrier © The Author(s) 2022 Abstract This study examines the complexity of measuring social capital and presents the Barometer of Social Capital (BARCAS) as a comprehensive research methodology to do so. The BARCAS is a multilevel, multi-setting, multivariate, and cross-national instrument developed in Colombia and applied four times over two decades, in 1997, 2005, 2011, and 2017. Throughout each of the four measurements, a variety of methods were used to improve the explained variance of the model and disaggregate dimensions into variables and items to determine their contribution to a factor’s average change. The learning and refining processes undertaken to improve the BARCAS are described in detail. Ultimately, the 2017 iteration of the BARCAS presents us with four factors that make up social capital and explain 76% of the variance: Social Fabric, Civic Capital, Institutional Trust and Indirect Control of the State, and Faith in Unvalidated Sources of Information. Factor analysis of dimensions differentiated the factors and produced factor scores or dependent variables for each respondent. The surprising volatility of the factors’ composition and levels over time indicates that the current research strategy of piecemeal hypothesis testing should be complemented by a more clinical approach, given the wide variety of intervening elements present at any given place and time. Further research could uncover whether BARCAS dimensions and factors are universal to all societies. It is hoped that the lessons learned with the BARCAS can be used by other researchers in similar endeavors. Social capital measurement methodology (dpeaa)DE-He213 Social capital (dpeaa)DE-He213 Colombia (dpeaa)DE-He213 Social fabric (dpeaa)DE-He213 Civic capital (dpeaa)DE-He213 Social media (dpeaa)DE-He213 Social capital and Political sociology (dpeaa)DE-He213 García, Diana (orcid)0000-0002-8678-5245 aut Sudarsky, Jerónimo (orcid)0000-0001-9198-0726 aut Enthalten in Social indicators research Dordrecht [u.a.] : Springer Science + Business Media B.V., 1974 164(2022), 3 vom: 03. Sept., Seite 1349-1377 (DE-627)320589161 (DE-600)2018687-3 1573-0921 nnns volume:164 year:2022 number:3 day:03 month:09 pages:1349-1377 https://dx.doi.org/10.1007/s11205-022-02999-2 kostenfrei Volltext GBV_USEFLAG_A SYSFLAG_A GBV_SPRINGER GBV_ILN_11 GBV_ILN_20 GBV_ILN_22 GBV_ILN_23 GBV_ILN_24 GBV_ILN_31 GBV_ILN_32 GBV_ILN_39 GBV_ILN_40 GBV_ILN_60 GBV_ILN_62 GBV_ILN_63 GBV_ILN_69 GBV_ILN_70 GBV_ILN_73 GBV_ILN_74 GBV_ILN_90 GBV_ILN_95 GBV_ILN_100 GBV_ILN_101 GBV_ILN_105 GBV_ILN_110 GBV_ILN_120 GBV_ILN_138 GBV_ILN_150 GBV_ILN_151 GBV_ILN_152 GBV_ILN_161 GBV_ILN_165 GBV_ILN_170 GBV_ILN_171 GBV_ILN_187 GBV_ILN_213 GBV_ILN_224 GBV_ILN_230 GBV_ILN_250 GBV_ILN_281 GBV_ILN_285 GBV_ILN_293 GBV_ILN_370 GBV_ILN_374 GBV_ILN_602 GBV_ILN_636 GBV_ILN_702 GBV_ILN_2001 GBV_ILN_2003 GBV_ILN_2004 GBV_ILN_2005 GBV_ILN_2006 GBV_ILN_2007 GBV_ILN_2008 GBV_ILN_2009 GBV_ILN_2010 GBV_ILN_2011 GBV_ILN_2014 GBV_ILN_2015 GBV_ILN_2018 GBV_ILN_2020 GBV_ILN_2021 GBV_ILN_2025 GBV_ILN_2026 GBV_ILN_2027 GBV_ILN_2031 GBV_ILN_2034 GBV_ILN_2037 GBV_ILN_2038 GBV_ILN_2039 GBV_ILN_2044 GBV_ILN_2048 GBV_ILN_2049 GBV_ILN_2050 GBV_ILN_2055 GBV_ILN_2056 GBV_ILN_2057 GBV_ILN_2059 GBV_ILN_2061 GBV_ILN_2064 GBV_ILN_2065 GBV_ILN_2068 GBV_ILN_2088 GBV_ILN_2093 GBV_ILN_2106 GBV_ILN_2107 GBV_ILN_2108 GBV_ILN_2110 GBV_ILN_2111 GBV_ILN_2112 GBV_ILN_2113 GBV_ILN_2118 GBV_ILN_2122 GBV_ILN_2129 GBV_ILN_2143 GBV_ILN_2144 GBV_ILN_2147 GBV_ILN_2148 GBV_ILN_2152 GBV_ILN_2153 GBV_ILN_2188 GBV_ILN_2190 GBV_ILN_2232 GBV_ILN_2336 GBV_ILN_2446 GBV_ILN_2470 GBV_ILN_2472 GBV_ILN_2507 GBV_ILN_2522 GBV_ILN_2548 GBV_ILN_2937 GBV_ILN_2949 GBV_ILN_2950 GBV_ILN_4012 GBV_ILN_4035 GBV_ILN_4037 GBV_ILN_4046 GBV_ILN_4112 GBV_ILN_4125 GBV_ILN_4126 GBV_ILN_4242 GBV_ILN_4246 GBV_ILN_4249 GBV_ILN_4251 GBV_ILN_4305 GBV_ILN_4306 GBV_ILN_4307 GBV_ILN_4313 GBV_ILN_4322 GBV_ILN_4323 GBV_ILN_4324 GBV_ILN_4325 GBV_ILN_4326 GBV_ILN_4328 GBV_ILN_4333 GBV_ILN_4334 GBV_ILN_4335 GBV_ILN_4336 GBV_ILN_4338 GBV_ILN_4346 GBV_ILN_4393 GBV_ILN_4700 AR 164 2022 3 03 09 1349-1377 |
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The BARCAS is a multilevel, multi-setting, multivariate, and cross-national instrument developed in Colombia and applied four times over two decades, in 1997, 2005, 2011, and 2017. Throughout each of the four measurements, a variety of methods were used to improve the explained variance of the model and disaggregate dimensions into variables and items to determine their contribution to a factor’s average change. The learning and refining processes undertaken to improve the BARCAS are described in detail. Ultimately, the 2017 iteration of the BARCAS presents us with four factors that make up social capital and explain 76% of the variance: Social Fabric, Civic Capital, Institutional Trust and Indirect Control of the State, and Faith in Unvalidated Sources of Information. Factor analysis of dimensions differentiated the factors and produced factor scores or dependent variables for each respondent. The surprising volatility of the factors’ composition and levels over time indicates that the current research strategy of piecemeal hypothesis testing should be complemented by a more clinical approach, given the wide variety of intervening elements present at any given place and time. Further research could uncover whether BARCAS dimensions and factors are universal to all societies. 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Sudarsky, John |
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Sudarsky, John misc Social capital measurement methodology misc Social capital misc Colombia misc Social fabric misc Civic capital misc Social media misc Social capital and Political sociology The Methodological Contributions of the Barometer of Social Capital (BARCAS) to the Measurement of Social Capital |
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The Methodological Contributions of the Barometer of Social Capital (BARCAS) to the Measurement of Social Capital Social capital measurement methodology (dpeaa)DE-He213 Social capital (dpeaa)DE-He213 Colombia (dpeaa)DE-He213 Social fabric (dpeaa)DE-He213 Civic capital (dpeaa)DE-He213 Social media (dpeaa)DE-He213 Social capital and Political sociology (dpeaa)DE-He213 |
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misc Social capital measurement methodology misc Social capital misc Colombia misc Social fabric misc Civic capital misc Social media misc Social capital and Political sociology |
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misc Social capital measurement methodology misc Social capital misc Colombia misc Social fabric misc Civic capital misc Social media misc Social capital and Political sociology |
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The Methodological Contributions of the Barometer of Social Capital (BARCAS) to the Measurement of Social Capital |
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methodological contributions of the barometer of social capital (barcas) to the measurement of social capital |
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The Methodological Contributions of the Barometer of Social Capital (BARCAS) to the Measurement of Social Capital |
| abstract |
Abstract This study examines the complexity of measuring social capital and presents the Barometer of Social Capital (BARCAS) as a comprehensive research methodology to do so. The BARCAS is a multilevel, multi-setting, multivariate, and cross-national instrument developed in Colombia and applied four times over two decades, in 1997, 2005, 2011, and 2017. Throughout each of the four measurements, a variety of methods were used to improve the explained variance of the model and disaggregate dimensions into variables and items to determine their contribution to a factor’s average change. The learning and refining processes undertaken to improve the BARCAS are described in detail. Ultimately, the 2017 iteration of the BARCAS presents us with four factors that make up social capital and explain 76% of the variance: Social Fabric, Civic Capital, Institutional Trust and Indirect Control of the State, and Faith in Unvalidated Sources of Information. Factor analysis of dimensions differentiated the factors and produced factor scores or dependent variables for each respondent. The surprising volatility of the factors’ composition and levels over time indicates that the current research strategy of piecemeal hypothesis testing should be complemented by a more clinical approach, given the wide variety of intervening elements present at any given place and time. Further research could uncover whether BARCAS dimensions and factors are universal to all societies. It is hoped that the lessons learned with the BARCAS can be used by other researchers in similar endeavors. © The Author(s) 2022 |
| abstractGer |
Abstract This study examines the complexity of measuring social capital and presents the Barometer of Social Capital (BARCAS) as a comprehensive research methodology to do so. The BARCAS is a multilevel, multi-setting, multivariate, and cross-national instrument developed in Colombia and applied four times over two decades, in 1997, 2005, 2011, and 2017. Throughout each of the four measurements, a variety of methods were used to improve the explained variance of the model and disaggregate dimensions into variables and items to determine their contribution to a factor’s average change. The learning and refining processes undertaken to improve the BARCAS are described in detail. Ultimately, the 2017 iteration of the BARCAS presents us with four factors that make up social capital and explain 76% of the variance: Social Fabric, Civic Capital, Institutional Trust and Indirect Control of the State, and Faith in Unvalidated Sources of Information. Factor analysis of dimensions differentiated the factors and produced factor scores or dependent variables for each respondent. The surprising volatility of the factors’ composition and levels over time indicates that the current research strategy of piecemeal hypothesis testing should be complemented by a more clinical approach, given the wide variety of intervening elements present at any given place and time. Further research could uncover whether BARCAS dimensions and factors are universal to all societies. It is hoped that the lessons learned with the BARCAS can be used by other researchers in similar endeavors. © The Author(s) 2022 |
| abstract_unstemmed |
Abstract This study examines the complexity of measuring social capital and presents the Barometer of Social Capital (BARCAS) as a comprehensive research methodology to do so. The BARCAS is a multilevel, multi-setting, multivariate, and cross-national instrument developed in Colombia and applied four times over two decades, in 1997, 2005, 2011, and 2017. Throughout each of the four measurements, a variety of methods were used to improve the explained variance of the model and disaggregate dimensions into variables and items to determine their contribution to a factor’s average change. The learning and refining processes undertaken to improve the BARCAS are described in detail. Ultimately, the 2017 iteration of the BARCAS presents us with four factors that make up social capital and explain 76% of the variance: Social Fabric, Civic Capital, Institutional Trust and Indirect Control of the State, and Faith in Unvalidated Sources of Information. Factor analysis of dimensions differentiated the factors and produced factor scores or dependent variables for each respondent. The surprising volatility of the factors’ composition and levels over time indicates that the current research strategy of piecemeal hypothesis testing should be complemented by a more clinical approach, given the wide variety of intervening elements present at any given place and time. Further research could uncover whether BARCAS dimensions and factors are universal to all societies. It is hoped that the lessons learned with the BARCAS can be used by other researchers in similar endeavors. © The Author(s) 2022 |
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| title_short |
The Methodological Contributions of the Barometer of Social Capital (BARCAS) to the Measurement of Social Capital |
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https://dx.doi.org/10.1007/s11205-022-02999-2 |
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García, Diana Sudarsky, Jerónimo |
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| score |
7.3996143 |