政大機構典藏-National Chengchi University Institutional Repository(NCCUR):Item 140.119/20866

English | 正體中文 | 简体中文 | Post-Print筆數 : 27 | Items with full text/Total items : 113648/144635 (79%)
Visitors : 51611263 Online Users : 553

RC Version 6.0 © Powered By DSPACE, MIT. Enhanced by NTU Library IR team.

Scope

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

政大機構典藏 > 理學院 > 心理學系 > 期刊論文 > Item 140.119/20866

Please use this identifier to cite or link to this item: https://nccur.lib.nccu.edu.tw/handle/140.119/20866

Title:	應用模糊統計於A型量表分類之研究
Other Titles:	Application of Fuzzy Statistical Analysis in the Investigation of Classification of Type A
Authors:	胡悅倫;陳皎眉;吳柏林
Keywords:	模糊集合 ; 隸屬度函數 ; 模糊分類 ; A型行為傾向;Fuzzy logic ; Membership function ; Fuzzy clustering ; Type A behavior pattern
Date:	2006-03
Issue Date:	2008-12-31 10:57:32 (UTC+8)
Abstract:	自陳法乃是評量 A 型行為傾向最普遍的方式。該評量方式通常以總分為基礎，把人分為 A 型與 B 型兩種類別，但是，A 型行為傾向並不是一個整體性的建構，因此，過度簡化地把人分成 A、B 兩類，將造成 A 型行為傾向在預測心血管疾病上不一致的情況。有人建議必須在連續性量尺上，針對某些特定指標作分類，可以解決此一問題，而模糊集合量尺可以是解決此一議題的新方向。因為模糊集合基本概念，在於人經常處於多元思維狀態。簡單二分法，實在無法精確描述人類多元行為，因此我們考慮將模糊分類應用於 A 型量表分析，以解決過度簡化分類問題。就複雜多變的人類行為或思維體系，以 A 型行為傾向的分類為例，提供一套更精確合理的分析方法與更多的訊息，做出明確細緻的決策。 The most common way to assess type A behavior pattern (TABP) is self-report measure. People were placed in two categories (A and B) based on total score. However, the type A is not a global construct. Therefore, the oversimplified categorical method (A and B) have emerged inconsistency in type A findings which predict coronary endpoints. Some suggests that accessing specific indicators on continuous scale can solve this problem. But, the current alternatives proposed by other researchers are inconvenient in research and practice. Fuzzy logic based on a continuous scale can be a brand new solution for this issue. In this paper we propose a new analytical method for the type A research. The advantages of eveluation with fuzzy statistical analysis include: (i) Evaluation process becomes robust and consistent by reducing the degree of subjectivity of the evaluator. (ii) Self-potentiality is highlighted by indicating individual distinctions. (iii) Provide the evaluators with an encouraging, stimulating, self-reliant guide that emphasizes on individual characteristics. Empirical results demonstrate that our new approach is efficient and more realistic than the traditional clustering did. To demonstrate the effectiveness and advantages of the new method, the results were presented in comparison with those by the traditional method using dualistic and mutually exclusive categorical analyses.
Relation:	教育與心理研究, 29(1), 151-181 Journal of Education ＆ Psychology
Data Type:	article
Appears in Collections:	[心理學系] 期刊論文 [教育與心理研究 TSSCI] 期刊論文

Files in This Item:

File	Size	Format
p33.pdf	5040Kb	Adobe PDF2	9318	View/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