A Monte Carlo investigation of robustness to nonnormal incomplete data of multilevel modeling
Due to its increasing popularity, hierarchical linear modeling (HLM) has been used along with structural equation modeling (SEM) to analyze data with nested structure. In spite of the extensive research on commonly encountered problems such as violation of normality and missing data treatment within...
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| Format: | Others |
| Language: | en_US |
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Texas A&M University
2006
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| Online Access: | http://hdl.handle.net/1969.1/4405 |