The quality of measurement of personal support subnetworks

Kogovšek, Tina; Ferligoj, Anuška

doi:10.1007/s11135-005-2178-y

Cited by 27 publications

(18 citation statements)

References 36 publications

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“…This limitation is offset to some degree by the argument that respondents’ perceptions of partner characteristics should be more influential than actual ones [43]. In addition, research suggests that proxy reporting is most accurate when the subject is a close tie, and particularly a spouse or cohabitating partner [44]. The accuracy of proxy reports is also optimized when the information is behavioral (i.e., observable) rather than attitudinal [45, 46], reducing concerns about the reliability of partner behavioral information.…”

Section: Discussionmentioning

confidence: 99%

Partner Influence in Diet and Exercise Behaviors: Testing Behavior Modeling, Social Control, and Normative Body Size

et al. 2016

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Previous research has documented social contagion in obesity and related health behaviors, but less is known about the social processes underlying these patterns. Focusing on married or cohabitating couples, we simultaneously explore three potential social mechanisms influencing obesity: normative body size, social control, and behavior modeling. We analyze the association between partner characteristics and the obesity-related health behaviors of focal respondents, comparing the effects of partners’ body type, partners’ attempts to manage respondents’ eating behaviors, and partners’ own health behaviors on respondents’ health behaviors (physical activity, fruit and vegetable consumption, and fast food consumption). Data on 215 partners are extracted from a larger study of social mechanisms of obesity in family and community contexts conducted in 2011 in the United States. Negative binomial regression models indicate that partner behavior is significantly related to respondent behavior (p < .001), net of controls. These results are suggestive of a behavior modeling mechanism in obesity-related patterns of consumption and physical activity. In contrast, we find little support for the influence of normative body size or partner social control in this sample, though generalizations about the relevance of these processes may be inappropriate. These results underscore the importance of policies and interventions that target dyads and social groups, suggesting that adoption of exercise or diet modifications in one individual is likely to spread to others, creating a social environment characterized by mutual reinforcement of healthy behavior.

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Section: Discussionmentioning

confidence: 99%

Partner Influence in Diet and Exercise Behaviors: Testing Behavior Modeling, Social Control, and Normative Body Size

et al. 2016

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“…Marsden 2005; Wellman 2007), including known reliability issues (Marsden 1990, 2005; Tracy et al . 1990; Wasserman & Faust 1994; Brewer 2000; Kogovšek & Ferligoj 2004, 2005), but survey methodology has nonetheless proved the most effective way to collect personal social network data from individuals. In this case, there are specific reliability concerns around the accurate reporting of some relevant relationships that may not be sanctioned by local authorities.…”

Section: Network Analysis With Transition‐age Foster Youthmentioning

confidence: 99%

Expanding the scope of research with transition‐age foster youth: applications of the social network perspective

Blakeslee

2011

Child & Family Social Work

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The support and resources embedded in social networks may be especially important for youth aging out of child welfare custody, such that foster youth support network characteristics influence the degree to which individual risk factors translate to poor outcomes during the transition from care. To examine the extent of this network influence on youth outcomes, social network analysis can be used to measure the interconnected relationships in the service network of caseworkers, foster parents and other providers, and in the personal network of biological family and community supports. By assessing these patterns of relationships, researchers can identify social network characteristics associated with particular subpopulations of foster youth who experience relatively successful or unsuccessful transition outcomes. This paper applies social network concepts and related methodology to frame foster youth transition support from a network perspective and to promote the generation of network‐informed hypotheses that could expand the scope of research with this important population.

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“…There is some bias and error in the respondents' recall of their relations, but we have some, although limited, information about the types of biases that emerge. For example, when confronted with a name generator, it is likely that a respondent mentions his or her frequent and close contacts, contacts that are more central in the network, and multiplex relationships rather than his or her infrequent, distant, less central or one-dimensional instrumental contacts (Kogovsek and Ferligoj, 2004;Brewer, 2000;Marin, 2004). Also, there is a high test-retest stability of the names reported in the name generators (Marsden, 1990).…”

Section: Introductionmentioning

confidence: 99%

Does the online collection of ego-centered network data reduce data quality? An experimental comparison

Matzat

Snijders

2010

Social Networks

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a b s t r a c tWe analyze whether differences in kind and quality of ego-centered network data are related to whether the data are collected online or offline. We report the results of two studies. In the first study respondents could choose between filling out ego-centered data through a web questionnaire and being probed about their network in a personalized interview. The second study used a design in which respondents were allocated at random to either online or offline data collection. Our results show that the data quality suffers from the online data collection and the findings indicate that this is the consequence of the respondents answering "mechanically". We conclude that network researchers should avoid to simply copy traditional network items into a web questionnaire. More research is needed about how new design elements specific for web questionnaires can motivate respondents to fill out network questions properly.

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The quality of measurement of personal support subnetworks

Abstract: egocentered networks, measurement, reliability, validity, social support,

Cited by 27 publications

References 36 publications

Partner Influence in Diet and Exercise Behaviors: Testing Behavior Modeling, Social Control, and Normative Body Size

Partner Influence in Diet and Exercise Behaviors: Testing Behavior Modeling, Social Control, and Normative Body Size

Expanding the scope of research with transition‐age foster youth: applications of the social network perspective

Does the online collection of ego-centered network data reduce data quality? An experimental comparison

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