The effect of non-response data on model selection in latent class analysis: an application of missing and skip response data

碩士 === 國立臺北大學 === 統計學系 === 93 === Latent class models (LCM) has found important applications in the social and behavioral sciences for modeling responses to sets of categorical variables and non-response is typical when collecting data. In this study, the non-response mainly included “skip pattern”...

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Bibliographic Details
Main Authors: Pei-Ying Lin, 林珮瑩
Other Authors: TING-HSIANG LIN
Format: Others
Language:en_US
Published: 2005
Online Access:http://ndltd.ncl.edu.tw/handle/59095725789280361776