Experimenting with Measurement Error: Techniques with Applications to the Caltech Cohort Study.
Measurement error is ubiquitous in experimental work. It leads to imperfect statistical controls, attenuated estimated effects of elicited behaviors, and biased correlations between characteristics. We develop statistical techniques for handling experimental measurement error. These techniques are a...
| Publicado en: | Journal of Political Economy Vol. 127; no. 4; pp. 1826 - 1864 |
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| Autores principales: | , , |
| Formato: | Artículo |
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University of Chicago Press
Aug2019
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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=137705305&site=ehost-live header: @attributes: shortDbName: ssf uiTerm: 137705305 longDbName: Social Sciences Full Text (H.W. Wilson) uiTag: AN controlInfo: bkinfo: jinfo: jid: 00223808 JPE jtl: Journal of Political Economy issn: 00223808 maglogo: N pubinfo: dt: Aug2019 vid: 127 iid: 4 pid: 415 pub: University of Chicago Press artinfo: ui: 137705305 10.1086/701681 ppf: 1826 ppct: 38 formats: tig: atl: Experimenting with Measurement Error: Techniques with Applications to the Caltech Cohort Study. aug: au: Gillen, Ben Snowberg, Erik Yariv, Leeat affil: Claremont McKenna College California Institute of Technology, University of British Columbia, and National Bureau of Economic Research Princeton University, Centre for Economic Policy Research, and National Bureau of Economic Research su: Cohort analysis Measurement errors Student surveys sug: subj: Cohort analysis Measurement errors Student surveys ab: Measurement error is ubiquitous in experimental work. It leads to imperfect statistical controls, attenuated estimated effects of elicited behaviors, and biased correlations between characteristics. We develop statistical techniques for handling experimental measurement error. These techniques are applied to data from the Caltech Cohort Study, which conducts repeated incentivized surveys of the Caltech student body. We replicate three classic experiments, demonstrating that results change substantially when measurement error is accounted for. Collectively, these results show that failing to properly account for measurement error may cause a field-wide bias leading scholars to identify "new" phenomena. pubtype: Academic Journal doctype: Article src: R language: English refInfo: copyright: @attributes: flag: N holdings: @attributes: islocal: N |
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