English  |  正體中文  |  简体中文  |  Post-Print筆數 : 27 |  Items with full text/Total items : 109952/140891 (78%)
Visitors : 46239699      Online Users : 979
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
    Home ‧ Login ‧ Upload ‧ Help ‧ About ‧ Administer Goto mobile version


    Please use this identifier to cite or link to this item: https://nccur.lib.nccu.edu.tw/handle/140.119/56400


    Title: 網路民意調查偏誤的評估及修正機制
    Other Titles: Exploring Adjustment for Web Survey$S Estimation Bias
    Authors: 俞振華
    Contributors: 行政院國家科學委員會
    國立政治大學選舉研究中心
    Keywords: 網路調查;估計偏誤;樣本代表性;非源於觀察此一動作所產生的誤差
    Web survey;Estimation bias;Sample representation;Error of nonobservation;Propensity score adjustment
    Date: 2011
    Issue Date: 2012-12-05 11:07:55 (UTC+8)
    Abstract: 過去數年來，網路在台灣的普及率快速增加，各式各樣的網路調查在我們生活周遭時常出現。但一般學術界對於網路調查的結果多半不會認真看待，因為網路調查多半以非機率樣本的方式選擇受訪者，所得出的結果無助於我們推論母體特徵。本研究計畫企圖從建構機率樣本的網路調查名單開始，進一步探討利用網路調查方式時，因「非源於觀察此一動作所產生的誤差」所造成的估計偏誤。主要的研究問題有以下兩個：首先，網路調查所造成的偏誤究竟有多嚴重？過去台灣並沒有系統性的探討究竟網路調查因樣本代表性不足所造成的偏誤為何。本研究希望在這個問題上做出貢獻。在方法上，當我們確認因樣本代表性不足所造成的偏誤之後，我們應透過何種方式來校正網路調查結果？矯正此類偏誤的方式不外乎是在事前抽樣時即進行校正，或是事後採用各式加權處理。本研究的第二個探討主題是如何採用不同的方式來調整網路調查結果的偏誤，並將重點置於如何利用樣本比對的方式（分別來自於網路訪問及電話訪問），透過相同變項進行配對，再以入選機率調整法（Propensity score adjustment）修正網路調查結果的偏誤。
    Taiwan’s internet coverage has been dramatically increasing over the past year. It is quite often to observe various web surveys in our day-to-day lives. Yet, scholars rarely consider their results seriously. It is due to the fact that these survey results are products of op-in internet panels and can not be used to draw inference about the target population. This project aims to build a web survey panel using probability-based recruitment and to explore possible estimation bias due to error of nonobservation. The main subject of this project is twofold: first, it focuses on how serious the estimation bias could be in a given web survey. So far there exists no systematical analysis using Taiwan’s empirical web survey data to examine the extent to which nonrepresentative sample data can lead to estimation bias. Second, given the estimation bias of web survey, the next question would be how we can adjust it. The conventional wisdom suggests two stages to make any possible adjustment—that is, either at the sample design stage or at the post-survey weighting stage. This project will address both ways to adjust estimation bias. Specifically, it will pay additional attention on using propensity score adjustment to overcome web survey’s noncoverage and nonresponse errors.
    Relation: 基礎研究
    學術補助
    研究期間:10008~ 10107
    研究經費:458仟元
    行政院國家科學委員會
    計畫編號NSC100-2410-H004-114
    Data Type: report
    Appears in Collections:[選舉研究中心] 國科會研究計畫

    Files in This Item:

    File Description SizeFormat
    100-2410-H004-114.pdf1163KbAdobe PDF2709View/Open


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


    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 ©   - Feedback