Validation of the 2012 European Social Survey Measurement of Wellbeing in Seventeen European Countries
Abstract The measurement of wellbeing provides an important indicator of the welfare of nations and presents opportunities for policy making. Researchers generally share the view of wellbeing as a multidimensional concept. The 2012 European Social Survey (ESS) measurement of personal and social well...
Ausführliche Beschreibung
Gespeichert in:
| Autor*in: |
Charalampi, Anastasia [verfasserIn] |
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| Format: |
E-Artikel |
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| Sprache: |
Englisch |
| Erschienen: |
2018 |
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| Schlagwörter: |
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| Anmerkung: |
© Springer Nature B.V. and The International Society for Quality-of-Life Studies (ISQOLS) 2018 |
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| Übergeordnetes Werk: |
Enthalten in: Applied research in quality of life - Dordrecht : Springer Netherlands, 2006, 15(2018), 1 vom: 25. Okt., Seite 73-105 |
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| Übergeordnetes Werk: |
volume:15 ; year:2018 ; number:1 ; day:25 ; month:10 ; pages:73-105 |
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| DOI / URN: |
10.1007/s11482-018-9666-4 |
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SPR020039115 |
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| 520 | |a Abstract The measurement of wellbeing provides an important indicator of the welfare of nations and presents opportunities for policy making. Researchers generally share the view of wellbeing as a multidimensional concept. The 2012 European Social Survey (ESS) measurement of personal and social wellbeing, a combination of theoretical models and evidence from statistical analysis, is defined as a six-dimensional construct: evaluative wellbeing, emotional wellbeing, functioning, vitality, community wellbeing and supportive relationships. In this paper, the proposed theoretical structure is investigated and the psychometric properties of the measure are assessed for 17 European countries. This involved splitting each country’s sample randomly into halves and performing Exploratory Factor Analysis (EFA) on the first half-samples. EFA resulted in a four-factor solution for Germany, Netherlands, Portugal, Slovenia, Spain, Switzerland and the UK, a five-factor solution for Belgium, Finland, France, Ireland, Norway, Poland, Russian Federation and Sweden, and a six-factor solution for Denmark and Hungary. These results were supported by Confirmatory Factor Analysis (CFA) performed on the second half-samples. Subscales were constructed based on analysis of the total samples, applying a simple transformation in order to deal with the different number of response categories used for the wellbeing items. Reliabilities and internal consistencies were investigated. Although the definition of each subscale differs from the proposed structure and across countries, the analysis did produce reliable and valid summary measures (subscales) of wellbeing for informing social policy in each country. | ||
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| 700 | 1 | |a Richardson, Clive |4 aut | |
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10.1007/s11482-018-9666-4 doi (DE-627)SPR020039115 (SPR)s11482-018-9666-4-e DE-627 ger DE-627 rakwb eng Charalampi, Anastasia verfasserin (orcid)0000-0002-1524-3318 aut Validation of the 2012 European Social Survey Measurement of Wellbeing in Seventeen European Countries 2018 Text txt rdacontent Computermedien c rdamedia Online-Ressource cr rdacarrier © Springer Nature B.V. and The International Society for Quality-of-Life Studies (ISQOLS) 2018 Abstract The measurement of wellbeing provides an important indicator of the welfare of nations and presents opportunities for policy making. Researchers generally share the view of wellbeing as a multidimensional concept. The 2012 European Social Survey (ESS) measurement of personal and social wellbeing, a combination of theoretical models and evidence from statistical analysis, is defined as a six-dimensional construct: evaluative wellbeing, emotional wellbeing, functioning, vitality, community wellbeing and supportive relationships. In this paper, the proposed theoretical structure is investigated and the psychometric properties of the measure are assessed for 17 European countries. This involved splitting each country’s sample randomly into halves and performing Exploratory Factor Analysis (EFA) on the first half-samples. EFA resulted in a four-factor solution for Germany, Netherlands, Portugal, Slovenia, Spain, Switzerland and the UK, a five-factor solution for Belgium, Finland, France, Ireland, Norway, Poland, Russian Federation and Sweden, and a six-factor solution for Denmark and Hungary. These results were supported by Confirmatory Factor Analysis (CFA) performed on the second half-samples. Subscales were constructed based on analysis of the total samples, applying a simple transformation in order to deal with the different number of response categories used for the wellbeing items. Reliabilities and internal consistencies were investigated. Although the definition of each subscale differs from the proposed structure and across countries, the analysis did produce reliable and valid summary measures (subscales) of wellbeing for informing social policy in each country. Wellbeing (dpeaa)DE-He213 Reliability (dpeaa)DE-He213 Validity (dpeaa)DE-He213 Exploratory factor analysis (dpeaa)DE-He213 Confirmatory factor analysis (dpeaa)DE-He213 Michalopoulou, Catherine aut Richardson, Clive aut Enthalten in Applied research in quality of life Dordrecht : Springer Netherlands, 2006 15(2018), 1 vom: 25. Okt., Seite 73-105 (DE-627)518103307 (DE-600)2251932-4 1871-2576 nnns volume:15 year:2018 number:1 day:25 month:10 pages:73-105 https://dx.doi.org/10.1007/s11482-018-9666-4 lizenzpflichtig 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_65 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_161 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_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_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_2057 GBV_ILN_2059 GBV_ILN_2061 GBV_ILN_2064 GBV_ILN_2065 GBV_ILN_2068 GBV_ILN_2070 GBV_ILN_2086 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_2116 GBV_ILN_2118 GBV_ILN_2119 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_4035 GBV_ILN_4037 GBV_ILN_4046 GBV_ILN_4112 GBV_ILN_4125 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_4333 GBV_ILN_4334 GBV_ILN_4335 GBV_ILN_4336 GBV_ILN_4338 GBV_ILN_4393 GBV_ILN_4700 AR 15 2018 1 25 10 73-105 |
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10.1007/s11482-018-9666-4 doi (DE-627)SPR020039115 (SPR)s11482-018-9666-4-e DE-627 ger DE-627 rakwb eng Charalampi, Anastasia verfasserin (orcid)0000-0002-1524-3318 aut Validation of the 2012 European Social Survey Measurement of Wellbeing in Seventeen European Countries 2018 Text txt rdacontent Computermedien c rdamedia Online-Ressource cr rdacarrier © Springer Nature B.V. and The International Society for Quality-of-Life Studies (ISQOLS) 2018 Abstract The measurement of wellbeing provides an important indicator of the welfare of nations and presents opportunities for policy making. Researchers generally share the view of wellbeing as a multidimensional concept. The 2012 European Social Survey (ESS) measurement of personal and social wellbeing, a combination of theoretical models and evidence from statistical analysis, is defined as a six-dimensional construct: evaluative wellbeing, emotional wellbeing, functioning, vitality, community wellbeing and supportive relationships. In this paper, the proposed theoretical structure is investigated and the psychometric properties of the measure are assessed for 17 European countries. This involved splitting each country’s sample randomly into halves and performing Exploratory Factor Analysis (EFA) on the first half-samples. EFA resulted in a four-factor solution for Germany, Netherlands, Portugal, Slovenia, Spain, Switzerland and the UK, a five-factor solution for Belgium, Finland, France, Ireland, Norway, Poland, Russian Federation and Sweden, and a six-factor solution for Denmark and Hungary. These results were supported by Confirmatory Factor Analysis (CFA) performed on the second half-samples. Subscales were constructed based on analysis of the total samples, applying a simple transformation in order to deal with the different number of response categories used for the wellbeing items. Reliabilities and internal consistencies were investigated. Although the definition of each subscale differs from the proposed structure and across countries, the analysis did produce reliable and valid summary measures (subscales) of wellbeing for informing social policy in each country. Wellbeing (dpeaa)DE-He213 Reliability (dpeaa)DE-He213 Validity (dpeaa)DE-He213 Exploratory factor analysis (dpeaa)DE-He213 Confirmatory factor analysis (dpeaa)DE-He213 Michalopoulou, Catherine aut Richardson, Clive aut Enthalten in Applied research in quality of life Dordrecht : Springer Netherlands, 2006 15(2018), 1 vom: 25. Okt., Seite 73-105 (DE-627)518103307 (DE-600)2251932-4 1871-2576 nnns volume:15 year:2018 number:1 day:25 month:10 pages:73-105 https://dx.doi.org/10.1007/s11482-018-9666-4 lizenzpflichtig 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_65 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_161 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_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_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_2057 GBV_ILN_2059 GBV_ILN_2061 GBV_ILN_2064 GBV_ILN_2065 GBV_ILN_2068 GBV_ILN_2070 GBV_ILN_2086 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_2116 GBV_ILN_2118 GBV_ILN_2119 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_4035 GBV_ILN_4037 GBV_ILN_4046 GBV_ILN_4112 GBV_ILN_4125 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_4333 GBV_ILN_4334 GBV_ILN_4335 GBV_ILN_4336 GBV_ILN_4338 GBV_ILN_4393 GBV_ILN_4700 AR 15 2018 1 25 10 73-105 |
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10.1007/s11482-018-9666-4 doi (DE-627)SPR020039115 (SPR)s11482-018-9666-4-e DE-627 ger DE-627 rakwb eng Charalampi, Anastasia verfasserin (orcid)0000-0002-1524-3318 aut Validation of the 2012 European Social Survey Measurement of Wellbeing in Seventeen European Countries 2018 Text txt rdacontent Computermedien c rdamedia Online-Ressource cr rdacarrier © Springer Nature B.V. and The International Society for Quality-of-Life Studies (ISQOLS) 2018 Abstract The measurement of wellbeing provides an important indicator of the welfare of nations and presents opportunities for policy making. Researchers generally share the view of wellbeing as a multidimensional concept. The 2012 European Social Survey (ESS) measurement of personal and social wellbeing, a combination of theoretical models and evidence from statistical analysis, is defined as a six-dimensional construct: evaluative wellbeing, emotional wellbeing, functioning, vitality, community wellbeing and supportive relationships. In this paper, the proposed theoretical structure is investigated and the psychometric properties of the measure are assessed for 17 European countries. This involved splitting each country’s sample randomly into halves and performing Exploratory Factor Analysis (EFA) on the first half-samples. EFA resulted in a four-factor solution for Germany, Netherlands, Portugal, Slovenia, Spain, Switzerland and the UK, a five-factor solution for Belgium, Finland, France, Ireland, Norway, Poland, Russian Federation and Sweden, and a six-factor solution for Denmark and Hungary. These results were supported by Confirmatory Factor Analysis (CFA) performed on the second half-samples. Subscales were constructed based on analysis of the total samples, applying a simple transformation in order to deal with the different number of response categories used for the wellbeing items. Reliabilities and internal consistencies were investigated. Although the definition of each subscale differs from the proposed structure and across countries, the analysis did produce reliable and valid summary measures (subscales) of wellbeing for informing social policy in each country. Wellbeing (dpeaa)DE-He213 Reliability (dpeaa)DE-He213 Validity (dpeaa)DE-He213 Exploratory factor analysis (dpeaa)DE-He213 Confirmatory factor analysis (dpeaa)DE-He213 Michalopoulou, Catherine aut Richardson, Clive aut Enthalten in Applied research in quality of life Dordrecht : Springer Netherlands, 2006 15(2018), 1 vom: 25. Okt., Seite 73-105 (DE-627)518103307 (DE-600)2251932-4 1871-2576 nnns volume:15 year:2018 number:1 day:25 month:10 pages:73-105 https://dx.doi.org/10.1007/s11482-018-9666-4 lizenzpflichtig 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_65 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_161 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_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_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_2057 GBV_ILN_2059 GBV_ILN_2061 GBV_ILN_2064 GBV_ILN_2065 GBV_ILN_2068 GBV_ILN_2070 GBV_ILN_2086 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_2116 GBV_ILN_2118 GBV_ILN_2119 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_4035 GBV_ILN_4037 GBV_ILN_4046 GBV_ILN_4112 GBV_ILN_4125 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_4333 GBV_ILN_4334 GBV_ILN_4335 GBV_ILN_4336 GBV_ILN_4338 GBV_ILN_4393 GBV_ILN_4700 AR 15 2018 1 25 10 73-105 |
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10.1007/s11482-018-9666-4 doi (DE-627)SPR020039115 (SPR)s11482-018-9666-4-e DE-627 ger DE-627 rakwb eng Charalampi, Anastasia verfasserin (orcid)0000-0002-1524-3318 aut Validation of the 2012 European Social Survey Measurement of Wellbeing in Seventeen European Countries 2018 Text txt rdacontent Computermedien c rdamedia Online-Ressource cr rdacarrier © Springer Nature B.V. and The International Society for Quality-of-Life Studies (ISQOLS) 2018 Abstract The measurement of wellbeing provides an important indicator of the welfare of nations and presents opportunities for policy making. Researchers generally share the view of wellbeing as a multidimensional concept. The 2012 European Social Survey (ESS) measurement of personal and social wellbeing, a combination of theoretical models and evidence from statistical analysis, is defined as a six-dimensional construct: evaluative wellbeing, emotional wellbeing, functioning, vitality, community wellbeing and supportive relationships. In this paper, the proposed theoretical structure is investigated and the psychometric properties of the measure are assessed for 17 European countries. This involved splitting each country’s sample randomly into halves and performing Exploratory Factor Analysis (EFA) on the first half-samples. EFA resulted in a four-factor solution for Germany, Netherlands, Portugal, Slovenia, Spain, Switzerland and the UK, a five-factor solution for Belgium, Finland, France, Ireland, Norway, Poland, Russian Federation and Sweden, and a six-factor solution for Denmark and Hungary. These results were supported by Confirmatory Factor Analysis (CFA) performed on the second half-samples. Subscales were constructed based on analysis of the total samples, applying a simple transformation in order to deal with the different number of response categories used for the wellbeing items. Reliabilities and internal consistencies were investigated. Although the definition of each subscale differs from the proposed structure and across countries, the analysis did produce reliable and valid summary measures (subscales) of wellbeing for informing social policy in each country. Wellbeing (dpeaa)DE-He213 Reliability (dpeaa)DE-He213 Validity (dpeaa)DE-He213 Exploratory factor analysis (dpeaa)DE-He213 Confirmatory factor analysis (dpeaa)DE-He213 Michalopoulou, Catherine aut Richardson, Clive aut Enthalten in Applied research in quality of life Dordrecht : Springer Netherlands, 2006 15(2018), 1 vom: 25. Okt., Seite 73-105 (DE-627)518103307 (DE-600)2251932-4 1871-2576 nnns volume:15 year:2018 number:1 day:25 month:10 pages:73-105 https://dx.doi.org/10.1007/s11482-018-9666-4 lizenzpflichtig 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_65 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_161 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_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_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_2057 GBV_ILN_2059 GBV_ILN_2061 GBV_ILN_2064 GBV_ILN_2065 GBV_ILN_2068 GBV_ILN_2070 GBV_ILN_2086 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_2116 GBV_ILN_2118 GBV_ILN_2119 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_4035 GBV_ILN_4037 GBV_ILN_4046 GBV_ILN_4112 GBV_ILN_4125 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_4333 GBV_ILN_4334 GBV_ILN_4335 GBV_ILN_4336 GBV_ILN_4338 GBV_ILN_4393 GBV_ILN_4700 AR 15 2018 1 25 10 73-105 |
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Charalampi, Anastasia |
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Charalampi, Anastasia misc Wellbeing misc Reliability misc Validity misc Exploratory factor analysis misc Confirmatory factor analysis Validation of the 2012 European Social Survey Measurement of Wellbeing in Seventeen European Countries |
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Validation of the 2012 European Social Survey Measurement of Wellbeing in Seventeen European Countries |
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validation of the 2012 european social survey measurement of wellbeing in seventeen european countries |
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Validation of the 2012 European Social Survey Measurement of Wellbeing in Seventeen European Countries |
| abstract |
Abstract The measurement of wellbeing provides an important indicator of the welfare of nations and presents opportunities for policy making. Researchers generally share the view of wellbeing as a multidimensional concept. The 2012 European Social Survey (ESS) measurement of personal and social wellbeing, a combination of theoretical models and evidence from statistical analysis, is defined as a six-dimensional construct: evaluative wellbeing, emotional wellbeing, functioning, vitality, community wellbeing and supportive relationships. In this paper, the proposed theoretical structure is investigated and the psychometric properties of the measure are assessed for 17 European countries. This involved splitting each country’s sample randomly into halves and performing Exploratory Factor Analysis (EFA) on the first half-samples. EFA resulted in a four-factor solution for Germany, Netherlands, Portugal, Slovenia, Spain, Switzerland and the UK, a five-factor solution for Belgium, Finland, France, Ireland, Norway, Poland, Russian Federation and Sweden, and a six-factor solution for Denmark and Hungary. These results were supported by Confirmatory Factor Analysis (CFA) performed on the second half-samples. Subscales were constructed based on analysis of the total samples, applying a simple transformation in order to deal with the different number of response categories used for the wellbeing items. Reliabilities and internal consistencies were investigated. Although the definition of each subscale differs from the proposed structure and across countries, the analysis did produce reliable and valid summary measures (subscales) of wellbeing for informing social policy in each country. © Springer Nature B.V. and The International Society for Quality-of-Life Studies (ISQOLS) 2018 |
| abstractGer |
Abstract The measurement of wellbeing provides an important indicator of the welfare of nations and presents opportunities for policy making. Researchers generally share the view of wellbeing as a multidimensional concept. The 2012 European Social Survey (ESS) measurement of personal and social wellbeing, a combination of theoretical models and evidence from statistical analysis, is defined as a six-dimensional construct: evaluative wellbeing, emotional wellbeing, functioning, vitality, community wellbeing and supportive relationships. In this paper, the proposed theoretical structure is investigated and the psychometric properties of the measure are assessed for 17 European countries. This involved splitting each country’s sample randomly into halves and performing Exploratory Factor Analysis (EFA) on the first half-samples. EFA resulted in a four-factor solution for Germany, Netherlands, Portugal, Slovenia, Spain, Switzerland and the UK, a five-factor solution for Belgium, Finland, France, Ireland, Norway, Poland, Russian Federation and Sweden, and a six-factor solution for Denmark and Hungary. These results were supported by Confirmatory Factor Analysis (CFA) performed on the second half-samples. Subscales were constructed based on analysis of the total samples, applying a simple transformation in order to deal with the different number of response categories used for the wellbeing items. Reliabilities and internal consistencies were investigated. Although the definition of each subscale differs from the proposed structure and across countries, the analysis did produce reliable and valid summary measures (subscales) of wellbeing for informing social policy in each country. © Springer Nature B.V. and The International Society for Quality-of-Life Studies (ISQOLS) 2018 |
| abstract_unstemmed |
Abstract The measurement of wellbeing provides an important indicator of the welfare of nations and presents opportunities for policy making. Researchers generally share the view of wellbeing as a multidimensional concept. The 2012 European Social Survey (ESS) measurement of personal and social wellbeing, a combination of theoretical models and evidence from statistical analysis, is defined as a six-dimensional construct: evaluative wellbeing, emotional wellbeing, functioning, vitality, community wellbeing and supportive relationships. In this paper, the proposed theoretical structure is investigated and the psychometric properties of the measure are assessed for 17 European countries. This involved splitting each country’s sample randomly into halves and performing Exploratory Factor Analysis (EFA) on the first half-samples. EFA resulted in a four-factor solution for Germany, Netherlands, Portugal, Slovenia, Spain, Switzerland and the UK, a five-factor solution for Belgium, Finland, France, Ireland, Norway, Poland, Russian Federation and Sweden, and a six-factor solution for Denmark and Hungary. These results were supported by Confirmatory Factor Analysis (CFA) performed on the second half-samples. Subscales were constructed based on analysis of the total samples, applying a simple transformation in order to deal with the different number of response categories used for the wellbeing items. Reliabilities and internal consistencies were investigated. Although the definition of each subscale differs from the proposed structure and across countries, the analysis did produce reliable and valid summary measures (subscales) of wellbeing for informing social policy in each country. © Springer Nature B.V. and The International Society for Quality-of-Life Studies (ISQOLS) 2018 |
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Validation of the 2012 European Social Survey Measurement of Wellbeing in Seventeen European Countries |
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https://dx.doi.org/10.1007/s11482-018-9666-4 |
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Michalopoulou, Catherine Richardson, Clive |
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10.1007/s11482-018-9666-4 |
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| score |
7.3998413 |