Open AccessAN EMPIRICAL TEST OF RESPONDENT‐DRIVEN SAMPLING: POINT ESTIMATES, VARIANCE, DEGREE MEASURES, AND OUT‐OF‐EQUILIBRIUM DATA
Author(s) -
Wejnert Cyprian
Publication year - 2009
Publication title -
sociological methodology
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 0.658
H-Index - 55
eISSN - 1467-9531
pISSN - 0081-1750
DOI - 10.1111/j.1467-9531.2009.01216.x
Subject(s) - variance (accounting) , statistics , respondent , point estimation , degree (music) , confidence interval , estimation , econometrics , mathematics , variance components , sampling (signal processing) , scale (ratio) , measure (data warehouse) , correlation , point (geometry) , computer science , data mining , geography , economics , physics , geometry , accounting , management , cartography , political science , acoustics , law , computer vision , filter (signal processing)
This paper, which is the first large‐scale application of respondent‐driven sampling (RDS) to nonhidden populations, tests three factors related to RDS estimation against institutional data using two WebRDS samples of university undergraduates. First, two methods of calculating RDS point estimates are compared. RDS estimates calculated using both methods coincide closely, but variance estimation, especially for small groups, is problematic for both methods. In one method, the bootstrap algorithm used to generate confidence intervals is found to underestimate variance. In the other method, where analytical variance estimation is possible, confidence intervals tend to overestimate variance. Second, RDS estimates are found to be robust against varying measures of individual degree. Results suggest the standard degree measure currently employed in most RDS studies is among the best‐performing degree measures. Finally, RDS is found to be robust against the inclusion of out‐of‐equilibrium data. The results show that valid point estimates can be generated with RDS analysis using real data, but that further research is needed to improve variance estimation techniques.