Literaturnachweis - Detailanzeige
| Autor/inn/en | Hsieh, Chueh-An; Maier, Kimberly S. |
|---|---|
| Titel | A Preliminary Bayesian Analysis of Incomplete Longitudinal Data from a Small Sample: Methodological Advances in an International Comparative Study of Educational Inequality |
| Quelle | In: International Journal of Research & Method in Education, 32 (2009) 1, S.103-125 (23 Seiten)Infoseite zur Zeitschrift
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| Sprache | englisch |
| Dokumenttyp | gedruckt; online; Zeitschriftenaufsatz |
| ISSN | 1743-727X |
| Schlagwörter | Equal Education; Bayesian Statistics; Data Analysis; Comparative Analysis; Longitudinal Studies; Statistical Data; Statistical Studies; Item Response Theory; Maximum Likelihood Statistics; Statistical Inference; Error Correction |
| Abstract | The capacity of Bayesian methods in estimating complex statistical models is undeniable. Bayesian data analysis is seen as having a range of advantages, such as an intuitive probabilistic interpretation of the parameters of interest, the efficient incorporation of prior information to empirical data analysis, model averaging and model selection. As a simplified demonstration, we illustrate (1) how Bayesians test and compare two non-nested growth curve models using Bayesian estimation with non-informative prior; (2) how Bayesians model and handle missing outcomes in the context of missing values; and (3) how Bayesians incorporate data-based evidence from a previous data set, construct informative priors and treat them as extra information while conducting an up-to-date analogy analysis. (Contains 7 tables, 5 figures, and 5 notes.) (As Provided). |
| Anmerkungen | Routledge. Available from: Taylor & Francis, Ltd. 325 Chestnut Street Suite 800, Philadelphia, PA 19106. Tel: 800-354-1420; Fax: 215-625-2940; Web site: http://www.tandf.co.uk/journals |
| Erfasst von | ERIC (Education Resources Information Center), Washington, DC |
| Update | 2017/4/10 |
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