/LC.GIF&client=easterncarolinaedu)
Missing data analysis and design / John W. Graham.
| Author/creator | Graham, John W. |
| Format | Electronic |
| Publication Info | New York, NY : Springer, |
| Description | xxiii, 323 p. : ill. (some col.) ; 24 cm. |
| Supplemental Content | Full text available from Springer Nature - Springer Mathematics and Statistics eBooks 2012 English International |
| Supplemental Content | Full text available from Springer Books |
| Subjects |
| Series | Statistics for social and behavioral sciences. Statistics for social and behavioral sciences. ^A696802 |
| Contents | 1. Missing data theory -- 2. Analysis of missing data -- 3. Multiple imputation and basic a-- 4. Analysis with SPSS (versions without MI module) following multiple imputation with norm 2.03 -- 5. Multiple imputation and analysis with SPSS 17-20 -- 6. Multiple imputation and analysis with multilevel (cluster) data -- 7. Multiple imputation and analysis with SAS -- 8. Practical issues relating to analysis with missing data: avoiding and troubleshooting problems -- 9. Dealing with the problem of having too many variables in the imputation model -- 10. Simulations with missing data -- 11. Using modern missing data methods with auxiliary variables to mitigate the effects of attrition on statistical power -- 12. Planned missing data designs I: the 3-form design -- 13. Planned missing data design 2: two-method measurement. |
| Bibliography note | Includes bibliographical references. |
| Access restriction | Available only to authorized users. |
| Technical details | Mode of access: World Wide Web |
| Genre/form | Electronic books. |
| LCCN | 2012938715 |
| ISBN | 9781461440178 (hbk. : alk. paper) |
| ISBN | 1461440173 (hbk. : alk. paper) |
Availability
| Library | Location | Call Number | Status | Item Actions |
|---|---|---|---|---|
| Electronic Resources | ✔ Available |