Stepwise regression and stepwise discriminant analysis need not apply here: a guidelines editorial.
Three problems associated with the application of stepwise methods, which are often used in psychological and educational research to pick useful subsets of variables and to evaluate the order of importance of variables, are presented. First, commonly used statistical packages incorrectly compute t...
| Publicado en: | Educational & Psychological Measurement Vol. 55; pp. 525 - 535 |
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| Formato: | Artículo |
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Sage Publications Inc.
August 1995
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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=508447544&site=ehost-live header: @attributes: shortDbName: ssf uiTerm: 508447544 longDbName: Social Sciences Full Text (H.W. Wilson) uiTag: AN controlInfo: bkinfo: jinfo: jid: 00131644 EPM jtl: Educational & Psychological Measurement issn: 00131644 maglogo: N pubinfo: dt: August 1995 vid: 55 pid: 344 pub: Sage Publications Inc. artinfo: ui: 508447544 10.1177/0013164495055004001 ppf: 525 ppct: 10 formats: tig: atl: Stepwise regression and stepwise discriminant analysis need not apply here: a guidelines editorial. aug: au: Thompson, Bruce su: Regression analysis Discriminant analysis Psychological techniques Psychology -- Statistical methods sug: subj: Regression analysis Discriminant analysis Psychological techniques Psychology -- Statistical methods ab: Three problems associated with the application of stepwise methods, which are often used in psychological and educational research to pick useful subsets of variables and to evaluate the order of importance of variables, are presented. First, commonly used statistical packages incorrectly compute the degrees of freedom in stepwise analysis, resulting in artifactually greater likelihood of obtaining spurious statistical significance. Second, stepwise methods do not correctly identify the best variable set of a given size. Finally, stepwise methods tend to capitalize on sampling error and therefore tend to give rise to results that are not replicable. pubtype: Academic Journal doctype: Article src: R language: English refInfo: copyright: @attributes: flag: N holdings: @attributes: islocal: N |
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