Literaturnachweis - Detailanzeige
| Autor/inn/en | Rose, Roderick A.; Fraser, Mark W. |
|---|---|
| Titel | A Simplified Framework for Using Multiple Imputation in Social Work Research |
| Quelle | In: Social Work Research, 32 (2008) 3, S.171-178 (8 Seiten)
PDF als Volltext |
| Sprache | englisch |
| Dokumenttyp | gedruckt; online; Zeitschriftenaufsatz |
| ISSN | 1070-5309 |
| Schlagwörter | Simulation; Research Methodology; Social Sciences; Probability; Inferences; Social Work; Maximum Likelihood Statistics; Researchers; Statistical Distributions |
| Abstract | Missing data are nearly always a problem in research, and missing values represent a serious threat to the validity of inferences drawn from findings. Increasingly, social science researchers are turning to multiple imputation to handle missing data. Multiple imputation, in which missing values are replaced by values repeatedly drawn from conditional probability distributions, is an appropriate method for handling missing data when values are not missing completely at random. However, use of this method requires developing an imputation model from the observed data. This is typically a rigorous and time-consuming process. To encourage wider adoption of multiple imputation in social work research, a simple framework for designing imputation models is presented. The framework and its ability to generate unbiased estimates are demonstrated in a simulation study. (As Provided). |
| Anmerkungen | National Association of Social Workers (NASW). 750 First Street NE Suite 700, Washington, DC 20002. Tel: 800-227-3590; e-mail: press@naswdc.org; Web site: http://www.naswpress.org |
| Erfasst von | ERIC (Education Resources Information Center), Washington, DC |
| Update | 2017/4/10 |
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