Please use this identifier to cite or link to this item:
https://ah.lib.nccu.edu.tw/handle/140.119/120372
DC Field | Value | Language |
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dc.contributor | 心理系 | |
dc.creator | Park, Jungkyu | en_US |
dc.creator | 游琇婷 | zh_TW |
dc.creator | Yu, Hsiu-Ting | en_US |
dc.date | 2018-03 | |
dc.date.accessioned | 2018-10-05T08:29:07Z | - |
dc.date.available | 2018-10-05T08:29:07Z | - |
dc.date.issued | 2018-10-05T08:29:07Z | - |
dc.identifier.uri | http://nccur.lib.nccu.edu.tw/handle/140.119/120372 | - |
dc.description.abstract | The inclusion of covariates improves the prediction of class memberships in latent class analysis (LCA). Several methods for examining covariate effects have been developed over the past decade; however, researchers have limited to the comparisons of the performance among these methods in cases of the single-level LCA. The present study investigated the performance of three different methods for examining covariate effects in a multilevel setting. We conducted a simulation to compare the performance of the three methods when level-1 and level-2 covariates were simultaneously incorporated into the nonparametric multilevel latent class model to predict latent class membership at each level. The simulation results revealed that the bias-adjusted three-step maximum likelihood method performed equally well as the one-step method when the sample sizes were sufficiently large and the latent classes were distinct from each other. However, the unadjusted three-step method significantly underestimated the level-1 covariate effect in most conditions. | en_US |
dc.format.extent | 573207 bytes | - |
dc.format.mimetype | application/pdf | - |
dc.relation | Structural Equation Modeling: A Multidisciplinary Journal, Volume 25, Issue 5, 778-790 | |
dc.subject | covariate effects; latent class models; multilevel modeling | en_US |
dc.title | A Comparison of Approaches for Estimating Covariate Effects in Nonparametric Multilevel Latent Class Models | en_US |
dc.type | article | |
dc.identifier.doi | 10.1080/10705511.2018.1448711 | |
dc.doi.uri | https://doi.org/10.1080/10705511.2018.1448711 | |
item.fulltext | With Fulltext | - |
item.openairecristype | http://purl.org/coar/resource_type/c_18cf | - |
item.openairetype | article | - |
item.grantfulltext | open | - |
item.cerifentitytype | Publications | - |
Appears in Collections: | 期刊論文 |
Files in This Item:
File | Description | Size | Format | |
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778-790.pdf | 559.77 kB | Adobe PDF2 | View/Open |
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