Beyond Random Assignment for Internal Validity and Beyond Social Research for Random Assignment.
Random assignment in field settings may not be the “gold standard” of policy evaluation. Using a randomized design does not allow the researcher to forget the threats to biased inference that are usually explained in econometrics texts and have been elaborated upon in other published research. Add...
| Publicado en: | Journal of Policy Analysis & Management Vol. 28; no. 1; pp. 173 - 175 |
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| Formato: | Artículo |
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John Wiley & Sons, Inc.
Winter2009
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| Acceso en línea: | Ver este registro en EBSCOhost |
| fields | @attributes: recordID: 1 pdfLink: plink: https://search.ebscohost.com/login.aspx?direct=true&db=ssf&AN=508118772&site=ehost-live header: @attributes: shortDbName: ssf uiTerm: 508118772 longDbName: Social Sciences Full Text (H.W. Wilson) uiTag: AN controlInfo: bkinfo: jinfo: jid: 02768739 JPA jtl: Journal of Policy Analysis & Management issn: 02768739 maglogo: N pubinfo: dt: Winter2009 vid: 28 iid: 1 pid: 62151 pub: John Wiley & Sons, Inc. artinfo: ui: 508118772 10.1002/pam.20412 ppf: 173 ppct: 2 formats: tig: atl: Beyond Random Assignment for Internal Validity and Beyond Social Research for Random Assignment. aug: au: Langbein, Laura su: Experimental design Social policy sug: subj: Experimental design Social policy ab: Random assignment in field settings may not be the “gold standard” of policy evaluation. Using a randomized design does not allow the researcher to forget the threats to biased inference that are usually explained in econometrics texts and have been elaborated upon in other published research. Additionally, the dominance of randomized design can result in better designs becoming overlooked and losing out in competitions for funding. However, random assignment should not be overlooked in any area of policy research, despite the issues it might raise. pubtype: Academic Journal doctype: Article src: R language: English refInfo: copyright: @attributes: flag: N holdings: @attributes: islocal: N |
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