Working With Missing Values.
Less than optimum strategies for missing values can produce biased estimates, distorted statistical power, and invalid conclusions. After reviewing traditional approaches (listwise, pairwise, and mean substitution), selected alternatives are covered including single imputation, multiple imputation,...
| Publicado en: | Journal of Marriage & Family Vol. 67; no. 4; pp. 1012 - 1029 |
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| Formato: | Artículo |
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Wiley-Blackwell
November 2005
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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=507838168&site=ehost-live header: @attributes: shortDbName: ssf uiTerm: 507838168 longDbName: Social Sciences Full Text (H.W. Wilson) uiTag: AN controlInfo: bkinfo: jinfo: jid: 00222445 JMA jtl: Journal of Marriage & Family issn: 00222445 maglogo: N pubinfo: dt: November 2005 vid: 67 iid: 4 pid: 480 pub: Wiley-Blackwell artinfo: ui: 507838168 10.1111/j.1741-3737.2005.00191.x ppf: 1012 ppct: 17 formats: fmt: – @attributes: type: T – @attributes: type: P size: 151KB tig: atl: Working With Missing Values. aug: au: Acock, Alan C. su: Missing observations (Statistics) Families -- Research sug: subj: Missing observations (Statistics) Families -- Research ab: Less than optimum strategies for missing values can produce biased estimates, distorted statistical power, and invalid conclusions. After reviewing traditional approaches (listwise, pairwise, and mean substitution), selected alternatives are covered including single imputation, multiple imputation, and full information maximum likelihood estimation. The effects of missing values are illustrated for a linear model, and a series of recommendations is provided. When missing values cannot be avoided, multiple imputation and full information methods offer substantial improvements over traditional approaches. Selected results using SPSS, NORM, Stata (mvis/micombine), and Mplus are included as is a table of available software and an appendix with examples of programs for Stata and Mplus. Reprinted by permission of the publisher. pubtype: Academic Journal doctype: Article src: R language: English refInfo: copyright: @attributes: flag: N holdings: @attributes: islocal: N |
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