Incomplete Data Techniques for Factor Analysis- Based on Mental Health data of Wave 1 and 2 Junior high school samples in TEPS
碩士 === 國立臺北大學 === 統計學系 === 99 === Missing values are common in survey data. If the missing mechanism are missing at random (MAR) or missing not at random (MNAR), statistical analysis using complete data may cause bias. In this study, we use mental health data of wave 1 and 2 junior high school sampl...
| Main Authors: | , |
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| Other Authors: | |
| Format: | Others |
| Language: | zh-TW |
| Published: |
2011
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| Online Access: | http://ndltd.ncl.edu.tw/handle/09201626550718471772 |