CORRELATED INDEPENDENT VARIABLES: THE PROBLEM OF MULTICOLLINEARITY.
Whenever two supposedly independent variables are highly correlated, it will be difficult to assess their relative importance in determining some dependent variable. The higher the correlation between independent variables the greater the sampling error of the partials. Numerical examples are given...
| Publicado en: | Social Forces Vol. 42; no. 2; pp. 233 - 238 |
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| Autores principales: | , |
| Formato: | Artículo |
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Oxford University Press / USA
Dec63
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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=hlh&AN=13582301&site=ehost-live header: @attributes: shortDbName: hlh uiTerm: 13582301 longDbName: Humanities International Complete uiTag: AN controlInfo: bkinfo: jinfo: jid: 00377732 SFR jtl: Social Forces issn: 00377732 maglogo: N pubinfo: dt: Dec63 vid: 42 iid: 2 pid: 622 pub: Oxford University Press / USA artinfo: ui: 13582301 10.1093/sf/42.2.233 ppf: 233 ppct: 5 formats: tig: atl: CORRELATED INDEPENDENT VARIABLES: THE PROBLEM OF MULTICOLLINEARITY. aug: au: Blalock, H. M. Jr. affil: Yale University. su: Multicollinearity Mathematical variables Statistical correlation Sociological research Mathematical statistics Mathematics sug: subj: Multicollinearity Mathematical variables Statistical correlation Sociological research Mathematical statistics Mathematics ab: Whenever two supposedly independent variables are highly correlated, it will be difficult to assess their relative importance in determining some dependent variable. The higher the correlation between independent variables the greater the sampling error of the partials. Numerical examples are given to illustrate the practical implications for social research. pubtype: Academic Journal doctype: Article src: R language: English refInfo: copyright: @attributes: flag: Y dt: @attributes: year: 1963 holdings: @attributes: islocal: N |
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