政大機構典藏-National Chengchi University Institutional Repository(NCCUR):Item 140.119/104239
English  |  正體中文  |  简体中文  |  Post-Print筆數 : 27 |  Items with full text/Total items : 113656/144643 (79%)
Visitors : 51722867      Online Users : 575
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
    政大典藏 > Journal of NCCU > Issue 68 > Journal Articles >  Item 140.119/104239


    Please use this identifier to cite or link to this item: https://nccur.lib.nccu.edu.tw/handle/140.119/104239


    Title: Comparing Three Models In Causal Inference: How are Consensus,Distinctiveness, And Consistency Information Processed?
    Authors: 詹志禹
    Chan, Jason C.
    Contributors: 教育系
    Date: 1994-03
    Issue Date: 2016-11-23 14:31:48 (UTC+8)
    Abstract: 一般人如何使用一致(consensus)、獨特(distinctiveness)、及持久(consistency)訊息來做歸因？本文比較分析了三個模式的看法，它們都脫胎於凱利(H. Kelley)的共變模式。第一個模式稱為模板模式(templates model)，認為在一致訊息、獨特訊息及持久訊息的各種可能組合中，有三個組型是基本的，人們即利用此三個組型做為認知基模(schemata)來解釋他人及自我的行為；第二個模式稱為邏輯模式(logical model)，認為一般人在歸因時，是從行為者、剌激物、及情境三者之中選出必要條件做為行為的起因；第三個模式稱為反常條件焦點模式(abnormal conditions focus model)，認為行為者、刺激物、及情境三者都是必要條件，訊息的功能在於指出當中何者是反常的，人們即將行為歸因於此一反常條件。本文也分析了三個模式的一些問題及突破的方向。
    The present article is concerned with how laymen use consensus, distinctiveness, and consistency information to make attributions in terms of the person, the stimulus, and/or the circumstances. To attack this problem, three models in the literature emphasized causal schemata, necessary conditions and focused abnormal conditions, respectively. The template model argued that three typical information patterns which were found in the earlier literature to lead to person, stimulus, and circumstnce attribution respectively serve as causal schemata or templates. Other patterns with complete or incomplete information will be compared with or related to the three templates. Then the individual interprets the behavior in terms of the attributions implied by the matched templates. The logical model suggested that laymen use the principle of covariation to figure out which of the person, the stimulus, and/or the circumstance is the necessary (and sufficient in the complete information patterns) condition for the behavior to occur, then assign it as the cause of the behavior. The abnormal conditions focus model claimed that persons, stimuli, and circumstances are all necessary conditions for a behavior to occur. Information has the function to indicate whether the particular person, the particular stimulus, and/or the particular circumstance is abnormal or unusual. In addition, world knowledge interacts with the contrast criterion to define the abnormal conditions.
    Relation: 國立政治大學學報, 68 part 2,347-362
    Data Type: article
    Appears in Collections:[Issue 68] Journal Articles

    Files in This Item:

    File Description SizeFormat
    fb161122104544.pdf1276KbAdobe PDF2568View/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