- AutorIn
- Michael Höfler
- Hildegard Pfister
- Roselind Lieb
- Hans-Ulrich Wittchen
- Titel
- The use of weights to account for non-response and drop-out
- Zitierfähige Url:
- https://nbn-resolving.org/urn:nbn:de:bsz:14-qucosa-89955
- Quellenangabe
- Social Psychiatry and Psychiatric Epidemiology, Bd. 40 (2005), Nr. 4, S. 291-299, ISSN: 0933-7954, EISSN: 1433-9285
- Erstveröffentlichung
- 2005
- Abstract (EN)
- Background: Empirical studies in psychiatric research and other fields often show substantially high refusal and drop-out rates. Non-participation and drop-out may introduce a bias whose magnitude depends on how strongly its determinants are related to the respective parameter of interest. Methods: When most information is missing, the standard approach is to estimate each respondent’s probability of participating and assign each respondent a weight that is inversely proportional to this probability. This paper contains a review of the major ideas and principles regarding the computation of statistical weights and the analysis of weighted data. Results: A short software review for weighted data is provided and the use of statistical weights is illustrated through data from the EDSP (Early Developmental Stages of Psychopathology) Study. The results show that disregarding different sampling and response probabilities can have a major impact on estimated odds ratios. Conclusions: The benefit of using statistical weights in reducing sampling bias should be balanced against increased variances in the weighted parameter estimates.
- Andere Ausgabe
- DOI: 10.1007/s00127-005-0882-5
- Link zur publizierten Version des Artikels, der in der Zeitschrift "Social Psychiatry and Psychiatric Epidemiology" des Springer-Verlags erschienen ist.
Link: http://dx.doi.org/10.1007/s00127-005-0882-5 - Freie Schlagwörter (DE)
- Stichprobenfehler, Non-Responder, fehlende Werte, statistische Gewichtung
- Freie Schlagwörter (EN)
- selection bias, non-response, drop-out , missing values, weighting, survey
- Klassifikation (DDC)
- 150.2
- Klassifikation (RVK)
- CM 4000
- Publizierende Institution
- Technische Universität Dresden, Dresden
- URN Qucosa
- urn:nbn:de:bsz:14-qucosa-89955
- Veröffentlichungsdatum Qucosa
- 19.02.2013
- Dokumenttyp
- Artikel
- Sprache des Dokumentes
- Englisch
- Lizenz / Rechtehinweis