Flexible, Free Software for Multilevel Multiple Imputation: A Review of Blimp and jomo

Autor/in	Hayes, Timothy
Titel	Flexible, Free Software for Multilevel Multiple Imputation: A Review of Blimp and jomo
Quelle	In: Journal of Educational and Behavioral Statistics, 44 (2019) 5, S.625-641 (17 Seiten)Infoseite zur Zeitschrift PDF als Volltext Verfügbarkeit
Zusatzinformation	ORCID (Hayes, Timothy)
Sprache	englisch
Dokumenttyp	gedruckt; online; Zeitschriftenaufsatz
ISSN	1076-9986
DOI	10.3102/1076998619858624
Schlagwörter	Rezension; Computer Software Evaluation; Computer Software Reviews; Hierarchical Linear Modeling; Data Analysis; Error of Measurement; Research Problems + Suchen Sie Ihr Suchwort? Softwareanalyse; Auswertung; Messfehler; Forschungskritik
Abstract	Multiple imputation is a popular method for addressing data that are presumed to be missing at random. To obtain accurate results, one's imputation model must be congenial to (appropriate for) one's intended analysis model. This article reviews and demonstrates two recent software packages, Blimp and jomo, to multiply impute data in a manner congenial with three prototypical multilevel modeling analyses: (1) a random intercept model, (2) a random slope model, and (3) a cross-level interaction model. Following these analysis examples, I review and discuss both software packages. (As Provided).
Anmerkungen	SAGE Publications. 2455 Teller Road, Thousand Oaks, CA 91320. Tel: 800-818-7243; Tel: 805-499-9774; Fax: 800-583-2665; e-mail: journals@sagepub.com; Web site: http://sagepub.com
Erfasst von	ERIC (Education Resources Information Center), Washington, DC
Update	2020/1/01