A mixed-methods approach for analysing social support and social anchorage of single mothers’ personal networks

Lumino, Rosaria; Ragozini, Giancarlo; Duijn, Marijtje van; Vitale, María Prosperina

doi:10.1007/s11135-016-0439-6

Cited by 11 publications

(13 citation statements)

References 30 publications

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“…Can anger of the mother be counteracted by simultaneous happiness from the father? Such questions can be addressed by constructing networks based on Boolean (e.g., Aldana, Coppersmith, & Kadanoff, 2003; Kauffman, 1969) or logistic (e.g., Lumino, Ragozini, Duijn, & Vitale, 2016; Schumacher, Roßner, & Vach, 1996; van Borkulo et al, 2014) regression models, although one should be cautious when interpreting regression weights as they only reveal unique direct effects ignoring shared dynamics (Bulteel, Tuerlinckx, Brose, & Ceulemans, 2016b).…”

Section: Discussionmentioning

confidence: 99%

Affective family interactions and their associations with adolescent depression: A dynamic network approach

et al. 2017

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The prevalence of depression rises steeply during adolescence. Family processes have been identified as one of the important factors that contribute to affect (dys)regulation during adolescence. In this study, we explored the affect expressed by mothers, fathers, and adolescents during a problem-solving interaction and investigated whether the patterns of the affective interactions differed between families with depressed adolescents and families with nondepressed adolescents. A network approach was used to depict the frequencies of different affects, concurrent expressions of affect, and the temporal sequencing of affective behaviors among family members. The findings show that families of depressed adolescents express more anger than families of nondepressed adolescents during the interaction. These expressions of anger co-occur and interact across time more often in families with a depressed adolescent than in other families, creating a more self-sustaining network of angry negative affect in depressed families. Moreover, parents' angry and adolescents' dysphoric affect follow each other more often in depressed families. Taken together, these patterns reveal a particular family dynamic that may contribute to vulnerability to, or maintenance of, adolescent depressive disorders. Our findings underline the importance of studying affective family interactions to understand adolescent depression.

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Section: Discussionmentioning

confidence: 99%

Affective family interactions and their associations with adolescent depression: A dynamic network approach

et al. 2017

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“…Therefore, personal networks are believed to play a vital, protective role (cf. Lumino et al 2017). The current case is thus particularly interesting for studying social support mobilization among the poor, as it combines high needs and low state provision.…”

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confidence: 99%

Relationships Stretched Thin: Social Support Mobilization in Poverty

Lubbers¹,

García²,

Castaño³

et al. 2020

The ANNALS of the American Academy of Political and Social Scie

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Research on how the poor “make ends meet” typically shows that they are able to do so by relying on dense support networks of family and close friends. Recent research suggests, however, that these networks play a limited role. This article examines the role of informal networks in how sixty-one households in Barcelona, Spain, cope with poverty. We use a mixed-methods design that combines structured network delineation with semistructured interviews about the processes of support mobilization. Findings show a great variation in network size and resource capacity among households and in the kinds of ties that offer support. Social support was regarded as essential among members of poor households, but mobilized networks were often insufficient for covering even the most basic needs, and prolonged network mobilization could cause strain and long-term conflict. This analysis suggests that support networks may help people to cope with income volatility while simultaneously increasing the potential for social exclusion and isolation.

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“…” (p. 2267). Lumino et al’s (2017) study included “the joint use of network measures, statistical models, and narratives [that] allows taking into account the quantitative and qualitative dimensions of network relationships of low-income single mothers” (p. 784). Generally speaking, the equal priority studies dedicated approximately equal attention to both quantitative and qualitative strands by describing analysis and results of both strands as well as emphasizing each strands contribution in the discussion.…”

Section: Resultsmentioning

confidence: 99%

A Systematic Methodological Review of Hierarchical Linear Modeling in Mixed Methods Research

Bash

Smith

Trantham

2020

Journal of Mixed Methods Research

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The use of advanced quantitative methods within mixed methods research has been investigated in a limited capacity. In particular, hierarchical linear models are a popular approach to account for multilevel data, such as students within schools, but its use and value as the quantitative strand in a mixed methods study remains unknown. This article examines the role of hierarchical linear modeling in mixed methods research with emphasis on design choice, priority, and rationales. The results from this systematic methodological review suggest that hierarchical linear modeling does not overshadow the contributions of the qualitative strand. Our study contributes to the field of mixed methods research by offering recommendations for the use of hierarchical linear modeling as the quantitative strand in mixed methods studies.

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A mixed-methods approach for analysing social support and social anchorage of single mothers’ personal networks

Cited by 11 publications

References 30 publications

Affective family interactions and their associations with adolescent depression: A dynamic network approach

Affective family interactions and their associations with adolescent depression: A dynamic network approach

Relationships Stretched Thin: Social Support Mobilization in Poverty

A Systematic Methodological Review of Hierarchical Linear Modeling in Mixed Methods Research

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