Working with Missing Values

Autor/in	Acock, Alan C.
Titel	Working with Missing Values
Quelle	In: Journal of Marriage and Family, 67 (2005) 4, S.1012-1028 (17 Seiten) PDF als Volltext Verfügbarkeit
Sprache	englisch
Dokumenttyp	gedruckt; online; Zeitschriftenaufsatz
ISSN	0022-2445
DOI	10.1111/j.1741-3737.2005.00191.x
Schlagwörter	Research Methodology; Social Science Research; Statistical Analysis; Statistical Data; Maximum Likelihood Statistics + Suchen Sie Ihr Suchwort? Research method; Forschungsmethode; Social scientific research; Sozialwissenschaftliche Forschung; Statistische Analyse
Abstract	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 M"plus" are included as is a table of available software and an appendix with examples of programs for Stata and M"plus". (Author).
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Erfasst von	ERIC (Education Resources Information Center), Washington, DC
Update	2017/4/10