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Correspondence bias, also referred to as the fundamental attribution error, describes the tendency to attribute another person’s behavior to internal characteristics rather than situational influences. This cognitive bias leads individuals to overlook external factors that may be influencing actions, thereby fostering potentially inaccurate assessments of others’ intentions and dispositions.Empirical Evidence for Correspondence BiasResearch has consistently demonstrated the...
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Assessment of Social Interaction Behaviors
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Using sociometric measures to assess nonresponse bias.

Britt Livak1, John A Schneider2

  • 1Department of Health Studies, University of Chicago, Chicago, IL.

Annals of Epidemiology
|June 18, 2014
PubMed
Summary

Social network analysis reveals that men who have sex with men (MSM) with higher network centrality (indegree) were more likely to respond to epidemiologic studies. This highlights the importance of network position in understanding nonresponse bias in public health research.

Keywords:
Data collectionEpidemiologic biasesSocial networking

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Area of Science:

  • Epidemiology
  • Social Network Analysis
  • Public Health

Background:

  • Nonresponse bias is a significant concern in epidemiologic studies aiming for representative samples.
  • Existing research on nonresponse bias primarily focuses on individual attributes.
  • The role of social network position in nonresponse bias remains underexplored.

Purpose of the Study:

  • To investigate the association between social network position and nonresponse bias in a study of men who have sex with men (MSM).
  • To determine if sociometric measures, specifically indegree, predict respondent status.

Main Methods:

  • Utilized data from the Secunderabadi Men's Study, a whole network of Indian MSM.
  • Employed Time Location Cluster Sampling to recruit participants.
  • Used multivariable logistic regression to analyze demographic, behavioral attributes, and indegree in relation to respondent status.

Main Results:

  • A total of 239 respondents and 81 nonrespondents were analyzed.
  • Respondents exhibited significantly higher indegree compared to nonrespondents (OR, 1.19; 95% CI, 1.07-1.34), even after adjusting for other attributes.

Conclusions:

  • Network position, indicated by indegree, is a significant factor associated with nonresponse bias.
  • Considering the social network characteristics of nonrespondents is crucial for improving the validity of epidemiologic samples.
  • This study underscores the utility of social network analysis in public health research concerning hard-to-reach populations.