False positives in multiple regression : highlighting the consequences of measurement error in the independent variables
Type I error rates in multiple regression, and hence the chance for false positive research findings in the literature, can be drastically inflated when the analyses include independent variables measured with error. Although the bias caused by random measurement error in multiple regression is wide...
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| Language: | English |
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University of British Columbia
2012
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| Online Access: | http://hdl.handle.net/2429/43016 |