The evaluation of community-based interventions: group randomization, limits and alternatives
The context of community-based interventions presents formidable problems for any evaluation analysis. Group-randomized studies do possess ideal properties in theory, but in practice, grouprandomization might not be a feasible alternative at all or group-randomized studies might be contaminated. Thu...
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| Hauptverfasser: | , , |
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| Dokumenttyp: | Buch/Monographie Arbeitspapier |
| Sprache: | Englisch |
| Veröffentlicht: |
Bonn
Institute for the Study of Labor (IZA)
2000
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| Schriftenreihe: | IZA Discussion paper series
206 |
| In: |
Discussion paper series (206)
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| Schlagworte: | |
| Online-Zugang: | Resolving-System, kostenfrei, Volltext: http://hdl.handle.net/10419/21051
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| Verfasserangaben: | Christoph M. Schmidt; Rob Baltussen; Rainer Sauerborn |
MARC
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| 245 | 1 | 4 | |a The evaluation of community-based interventions |b group randomization, limits and alternatives |c Christoph M. Schmidt; Rob Baltussen; Rainer Sauerborn |
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| 490 | 1 | |a IZA Discussion paper series |v 206 | |
| 520 | |a The context of community-based interventions presents formidable problems for any evaluation analysis. Group-randomized studies do possess ideal properties in theory, but in practice, grouprandomization might not be a feasible alternative at all or group-randomized studies might be contaminated. Thus, the decisive advantage of randomized controlled trials, that they and only they provide for a completely convincing identification strategy in the presence of observable and unobservable confounders, is lost. There are alternative strategies for the identification of treatment effects also in the case of unobservable confounders, however, although they specifically require unverifiable a priori information to be available. Moreover, when using non experimental data, one can often easily extend sample size at low cost, and thus estimate parameters very precisely; therefore, for any particular situation the relative attractiveness of experimental and non-experimental approaches should be explored. | ||
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