Cognitive and Structural Social Capital as Predictors of Quality of Life for Sub-Saharan African Migrants in Germany

TY - JOUR

T1 - Cognitive and Structural Social Capital as Predictors of Quality of Life for Sub-Saharan African Migrants in Germany

AU - Adedeji, Adekunle

AU - Silva, Neuza

AU - Bullinger, Monika

PY - 2019/12/19

Y1 - 2019/12/19

N2 - This paper assesses the structural links between Cognitive Social Capital (CSC), Structural Social Capital (SSC), and Quality of Life (QoL) among Sub-Saharan African (SSA) migrants in Germany. Data from 518 SSA migrants in Germany were analysed. QoL as measured by EUROHIS-QOL 8-item Index, CSC, and SSC were included in a Structural Equation Model performed with Analysis of Moment Structures and Maximum Likelihood as methods of estimation. The overall model fit was evaluated based on the Chi-Square Statistic (χ2), the Comparative Fit Index (CFI), the Root Mean Square Error of Approximation (RMSEA) and the Standardised Root Mean Squared Residual (SRMR). The structural model testing the direct effects of CSC and SSC on QoL had a good fit with χ2(47) = 157.60, p < .01, χ2/df = 3.35, CFI = .95; RMSEA = .07 (p = .007; 90% CI = .06/.08); and SRMR = .04 and explained 15% of the variance in QoL. Significant direct effects of CSC and SSC were found on QoL, with β = .27, p < .01 and β = .23, p < .01, respectively. Furthermore, multi-group analyses yielded no significant differences in the structural weights across genders (Δχ2(2) = 5.46, p = .07) or German language skill levels (Δχ2(2) = 2.27, p = .32). SSC and CSC are significant for facilitating quality of life among SSA migrants living in Germany. While these findings support results from previous research, they provide a unique insight into the life of SSA migrants in Germany and provoke more questions concerning the wellbeing of this migrant group.

AB - This paper assesses the structural links between Cognitive Social Capital (CSC), Structural Social Capital (SSC), and Quality of Life (QoL) among Sub-Saharan African (SSA) migrants in Germany. Data from 518 SSA migrants in Germany were analysed. QoL as measured by EUROHIS-QOL 8-item Index, CSC, and SSC were included in a Structural Equation Model performed with Analysis of Moment Structures and Maximum Likelihood as methods of estimation. The overall model fit was evaluated based on the Chi-Square Statistic (χ2), the Comparative Fit Index (CFI), the Root Mean Square Error of Approximation (RMSEA) and the Standardised Root Mean Squared Residual (SRMR). The structural model testing the direct effects of CSC and SSC on QoL had a good fit with χ2(47) = 157.60, p < .01, χ2/df = 3.35, CFI = .95; RMSEA = .07 (p = .007; 90% CI = .06/.08); and SRMR = .04 and explained 15% of the variance in QoL. Significant direct effects of CSC and SSC were found on QoL, with β = .27, p < .01 and β = .23, p < .01, respectively. Furthermore, multi-group analyses yielded no significant differences in the structural weights across genders (Δχ2(2) = 5.46, p = .07) or German language skill levels (Δχ2(2) = 2.27, p = .32). SSC and CSC are significant for facilitating quality of life among SSA migrants living in Germany. While these findings support results from previous research, they provide a unique insight into the life of SSA migrants in Germany and provoke more questions concerning the wellbeing of this migrant group.

U2 - https://doi.org/10.1007/s11482-019-09784-3

DO - https://doi.org/10.1007/s11482-019-09784-3

M3 - SCORING: Journal article

JO - APPL RES QUAL LIFE

JF - APPL RES QUAL LIFE

SN - 1871-2584

ER -