title: Accuracy of name and age data provided about network members in a social network study of people who use drugs: implications for constructing sociometric networks.
abstract: Network analysis has become increasingly popular in epidemiologic research, but the accuracy of data key to constructing risk networks is largely unknown. Using network data from people who use drugs (PWUDs), the study examined how accurately PWUD reported their network members' (i.e., alters') names and ages.
  
  
  
  Data were collected from 2008 to 2010 from 503 PWUD residing in rural Appalachia. Network ties (n = 897) involved recent (past 6 months) sex, drug cousage, and/or social support. Participants provided alters' names, ages, and relationship-level characteristics; these data were cross-referenced to that of other participants to identify participant-participant relationships and to determine the accuracy of reported ages (years) and names (binary).
  
  
  
  Participants gave alters' exact names and ages within two years in 75% and 79% of relationships, respectively. Accurate name was more common in relationships that were reciprocally reported and those involving social support and male alters. Age was more accurate in reciprocal ties and those characterized by kinship, sexual partnership, recruitment referral, and financial support, and less accurate for ties with older alters.
  
  
  
  Most participants reported alters' characteristics accurately, and name accuracy was not significantly different in relationships involving drug-related and/or sexual behavior compared to those not involving these behaviors.
authors.affiliation: Department of Epidemiology, University of Kentucky College of Public Health, Lexington; Center on Drug and Alcohol Research, University of Kentucky, Lexington. Electronic address: april.young@uky.edu.
authors.forename: April M
authors.initials: AM
authors.lastname: Young
authors.affiliation: Department of Epidemiology, Boston University School of Public Health, Boston, MA.
authors.forename: Abby E
authors.initials: AE
authors.lastname: Rudolph
authors.affiliation: University of Kentucky College of Medicine, Lexington.
authors.forename: Amanda E
authors.initials: AE
authors.lastname: Su
authors.affiliation: Center on Drug and Alcohol Research, University of Kentucky, Lexington.
authors.forename: Lee
authors.initials: L
authors.lastname: King
authors.affiliation: Center on Drug and Alcohol Research, University of Kentucky, Lexington.
authors.forename: Susan
authors.initials: S
authors.lastname: Jent
authors.affiliation: Center on Drug and Alcohol Research, University of Kentucky, Lexington; University of Kentucky College of Medicine, Lexington.
authors.forename: Jennifer R
authors.initials: JR
authors.lastname: Havens
mesh_terms: D000328:Adult; D000367:Age Factors; D001061:Appalachian Region; D019058:Community Networks; D004812:Epidemiologic Methods; D005260:Female; D006801:Humans; D008297:Male; D008875:Middle Aged; D018570:Risk Assessment; D012309:Risk-Taking; D012424:Rural Population; D012680:Sensitivity and Specificity; D012737:Sex Factors; D012725:Sexual Behavior; D012963:Sociometric Techniques; D019966:Substance-Related Disorders / Q000175:diagnosis / Q000453:epidemiology*; D055815:Young Adult
keywords: Data accuracy; Drug abuse; HIV; Hepatitis C; Intravenous drug abuse; Rural health; Self-report; Social networks