政大機構典藏-National Chengchi University Institutional Repository(NCCUR):Item 140.119/97894
English  |  正體中文  |  简体中文  |  Post-Print筆數 : 27 |  全文笔数/总笔数 : 113311/144292 (79%)
造访人次 : 50932206      在线人数 : 955
RC Version 6.0 © Powered By DSPACE, MIT. Enhanced by NTU Library IR team.
搜寻范围 查询小技巧:
  • 您可在西文检索词汇前后加上"双引号",以获取较精准的检索结果
  • 若欲以作者姓名搜寻,建议至进阶搜寻限定作者字段,可获得较完整数据
  • 进阶搜寻


    请使用永久网址来引用或连结此文件: https://nccur.lib.nccu.edu.tw/handle/140.119/97894


    题名: 縱貫研究以潛在成長模式分析之樣本數與檢定力研究
    其它题名: Sample Size Requirements of Using Latent Growth Models in Longitudinal Study
    作者: 楊志堅 ; 劉心筠 ; 楊志強
    关键词: 潛在成長模式 ; 樣本數 ; 縱貫研究 ; 檢力 ; 結構化方程模式
    Latent growth model ; Sample size requirements ; Longitudinal study ;Statistical power ; Structural equation model
    日期: 2004-09
    上传时间: 2016-06-13 11:19:42 (UTC+8)
    摘要: 本文主要探討縱貫研究之計量結果若以潛在成長模式(latent growth model, LGM)做統計分析時,所需之樣本數與統計檢力(power)之間的關係。潛在成長模式是近年來廣泛被利用於縱貫研究分析的模式之一,潛在成長模式是從結構化方程模式(structural equation models, SEM)的理論架構推導而來。本文利用Satorra與Saris(1985)所提的結構化方程模式的參數檢定力研究方法來對潛在成長模式的參數檢定正確性與樣本數大小之間的關係進行探討。針對線性潛在成長模式中的平均成長率(average growth rate),本文列舉出可供實徵研究參考的檢定力與樣本數大小的檢定力表。
    This paper shows practical guidelines of sample size requirements when results of longitudinal study are to be analyzed by using latent growth models (LGM). The latent growth models are much popularized in recent years and very worth investigated. Latent growth model was derived from theories of the structural equation models (SEM). We use the method proposed by Satorra and Saris (1985) who originated the method to test SEM models and investigate relationships between parameter testing accuracy and statistical power of SEM models. The parameters of latent growth model under investigation are the parameters for modeling linear latent growth rates. We summarize the guidelines in several tables.
    關聯: 教育與心理研究, 27(3),603-626
    Journal of Education & Psychology
    数据类型: article
    显示于类别:[教育與心理研究 TSSCI] 期刊論文

    文件中的档案:

    档案 描述 大小格式浏览次数
    index.html0KbHTML2405检视/开启
    index.html0KbHTML2417检视/开启


    在政大典藏中所有的数据项都受到原著作权保护.


    社群 sharing

    著作權政策宣告 Copyright Announcement
    1.本網站之數位內容為國立政治大學所收錄之機構典藏,無償提供學術研究與公眾教育等公益性使用,惟仍請適度,合理使用本網站之內容,以尊重著作權人之權益。商業上之利用,則請先取得著作權人之授權。
    The digital content of this website is part of National Chengchi University Institutional Repository. It provides free access to academic research and public education for non-commercial use. Please utilize it in a proper and reasonable manner and respect the rights of copyright owners. For commercial use, please obtain authorization from the copyright owner in advance.

    2.本網站之製作,已盡力防止侵害著作權人之權益,如仍發現本網站之數位內容有侵害著作權人權益情事者,請權利人通知本網站維護人員(nccur@nccu.edu.tw),維護人員將立即採取移除該數位著作等補救措施。
    NCCU Institutional Repository is made to protect the interests of copyright owners. If you believe that any material on the website infringes copyright, please contact our staff(nccur@nccu.edu.tw). We will remove the work from the repository and investigate your claim.
    DSpace Software Copyright © 2002-2004  MIT &  Hewlett-Packard  /   Enhanced by   NTU Library IR team Copyright ©   - 回馈