Statistical power analysis with missing data a structural equation modeling approach
Statistical power analysis has revolutionized the ways in which we conduct and evaluate research. Similar developments in the statistical analysis of incomplete (missing) data are gaining more widespread applications. This volume brings statistical power and incomplete data together under a common...
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| Formato: | Libro electrónico |
| Idioma: | Inglés |
| Publicado: |
New York :
Routledge
c2010.
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| Edición: | 1st ed |
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| Ver en Biblioteca Universitat Ramon Llull: | https://discovery.url.edu/permalink/34CSUC_URL/1im36ta/alma991009798358306719 |
| Sumario: | Statistical power analysis has revolutionized the ways in which we conduct and evaluate research. Similar developments in the statistical analysis of incomplete (missing) data are gaining more widespread applications. This volume brings statistical power and incomplete data together under a common framework, in a way that is readily accessible to those with only an introductory familiarity with structural equation modeling. It answers many practical questions such as: How missing data affects the statistical power in a study How much power is likely with different |
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| Notas: | Description based upon print version of record. |
| Descripción Física: | 1 online resource (370 p.) |
| Bibliografía: | Includes bibliographical references and index. |
| ISBN: | 9781135269302 9781135269319 9781282294554 9786612294556 9780203866955 |
