“Sorry, I forgot”: the role of recall error in longitudinal personal network studies

Network researchers have been concerned with evaluating the accuracy of individuals' descriptions of their personal networks for many years. This paper examines the problem of “forgetfulness” and the extent to which it influences the measurement of ego-centric or personal social networks over time. The data come from the Indianapolis Network Mental Health Study (INMHS), a longitudinal study of the social networks of a cohort of individuals newly diagnosed with mental health problems. We focus on 114 people who completed two or more waves of the INMHS and explore the frequency that names mentioned in prior waves were forgotten. The results indicate that the membership of the respondents' networks changed significantly over the three waves; however, less than 5% of the observed change was due to respondents forgetting ties mentioned in prior waves. The vast majority of changes observed in their networks reflected “true” change in the composition of the respondents' social networks. Overall, the results suggest that people with mental health problems can provide descriptions of the changes in their social networks that are reliable and relatively free of recall bias. The implications of these findings for measuring personal networks over time are discussed.

[1]  M. Hammer Implications of behavioral and cognitive reciprocity in social network data , 1985 .

[2]  Ronald S. Burt,et al.  Network items and the general social survey , 1984 .

[3]  P. Killworth,et al.  INFORMANT ACCURACY IN SOCIAL NETWORK DATA II , 1977 .

[4]  David L. Morgan,et al.  The stability of core and peripheral networks over time , 1997 .

[5]  P. V. Marsden,et al.  NETWORK DATA AND MEASUREMENT , 1990 .

[6]  M. Gurevitch,et al.  The social structure of acquaintanceship networks , 1961 .

[7]  L. Freeman,et al.  Cognitive Structure and Informant Accuracy , 1987 .

[8]  P. Killworth,et al.  Informant accuracy in social-network data V. An experimental attempt to predict actual communication from recall data☆ , 1982 .

[9]  H. Russell Bernard,et al.  How much of a network does the GSS and RSW dredge up , 1987 .

[10]  Devon D. Brewer,et al.  Forgetting in the recall-based elicitation of personal and social networks , 2000, Soc. Networks.

[11]  M. V. Valkenburg Network Analysis , 1964 .

[12]  C. McCarty,et al.  COMPARING FOUR DIFFERENT METHODS FOR MEASURING PERSONAL SOCIAL NETWORKS , 1990 .

[13]  M. Hammer,et al.  Explorations into the meaning of social network interview data , 1984 .

[14]  M. Kochen,et al.  Contacts and influence , 1978 .

[15]  P. Killworth,et al.  Informant Accuracy in Social Network Data , 1976 .

[16]  J. S. Long,et al.  Regression Models for Categorical and Limited Dependent Variables , 1997 .

[17]  Robert K. Leik,et al.  On the stability of network relations under stress , 1997 .

[18]  Richard F. Catalano,et al.  Reliability of Social Network Data , 1990 .

[19]  Devon D. Brewer,et al.  Forgetting of friends and its effects on measuring friendship networks , 2000, Soc. Networks.

[20]  C. Gardner,et al.  How people get into mental health services: stories of choice, coercion and "muddling through" from "first-timers". , 1998, Social science & medicine.

[21]  H. Russell Bernard,et al.  Estimating the size of personal networks , 1990 .

[22]  P. V. Marsden,et al.  Core Discussion Networks of Americans , 1987 .

[23]  J. Jill Suitor,et al.  Once a friend, always a friend? Effects of homophily on women's support networks across a decade☆ , 1997 .

[24]  Barry Wellman,et al.  A decade of network change: Turnover, persistence and stability in personal communities☆ , 1997 .

[25]  John Scott Social Network Analysis , 1988 .

[26]  Linton C. Freeman,et al.  Words, Deeds and Social Structure: A Preliminary Study of the Reliability of Informants , 1987 .

[27]  Barry Wellman,et al.  It's about time: how, why, and when networks change , 1997 .

[28]  A. Kimball Romney,et al.  Predicting informant accuracy from patterns of recall among individuals , 1984 .