English  |  正體中文  |  简体中文  |  Post-Print筆數 : 27 |  Items with full text/Total items : 92664/122999 (75%)
Visitors : 26922701      Online Users : 452
RC Version 6.0 © Powered By DSPACE, MIT. Enhanced by NTU Library IR team.
Scope Tips:
  • please add "double quotation mark" for query phrases to get precise results
  • please goto advance search for comprehansive author search
  • Adv. Search
    HomeLoginUploadHelpAboutAdminister Goto mobile version
    政大機構典藏 > 理學院 > 心理學系 > 期刊論文 >  Item 140.119/113132
    Please use this identifier to cite or link to this item: http://nccur.lib.nccu.edu.tw/handle/140.119/113132

    Title: Recommendations on the Sample Sizes for Multilevel Latent Class Models
    Authors: 游琇婷
    Park, Jungkyu
    Yu, Hsiu-Ting
    Contributors: 心理系
    Date: 2018-10
    Issue Date: 2017-09-28 17:38:51 (UTC+8)
    Abstract: A multilevel latent class model (MLCM) is a useful tool for analyzing data arising from hierarchically nested structures. One important issue for MLCMs is determining the minimum sample sizes needed to obtain reliable and unbiased results. In this simulation study, the sample sizes required for MLCMs were investigated under various conditions. A series of design factors, including sample sizes at two levels, the distinctness and the complexity of the latent structure, and the number of indicators were manipulated. The results revealed that larger samples are required when the latent classes are less distinct and more complex with fewer indicators. This study also provides recommendations about the minimum required sample sizes that satisfied all four criteria—model selection accuracy, parameter estimation bias, standard error bias, and coverage rate—as well as rules of thumb for sample size requirements when applying MLCMs in data analysis.
    Data Type: article
    DOI 連結: https://doi.org/10.1177/0013164417719111
    DOI: 10.1177/0013164417719111
    Appears in Collections:[心理學系] 期刊論文

    Files in This Item:

    File Description SizeFormat
    19111.pdf1203KbAdobe PDF322View/Open

    All items in 政大典藏 are protected by copyright, with all rights reserved.

    社群 sharing

    DSpace Software Copyright © 2002-2004  MIT &  Hewlett-Packard  /   Enhanced by   NTU Library IR team Copyright ©   - Feedback