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    Please use this identifier to cite or link to this item: http://tkuir.lib.tku.edu.tw:8080/dspace/handle/987654321/79015

    Title: Analyzing children’s lying behaviors with fuzzy logics
    Authors: Chen, Cheng-chuan;Chang, Dian-fu;Wu, Berlin
    Contributors: 淡江大學教育政策與領導研究所
    Keywords: Lying Behavior;Fuzzy Theory;Fuzzy Cluster Analysis
    Date: 2012-09
    Issue Date: 2012-11-18 20:52:01 (UTC+8)
    Publisher: ISME International
    Abstract: The purpose of this study is to explore children lying as they relate to responsive behavior and motivations in elementary schools. Conducting nonparametric procedures by using the fuzzy questionnaire, the study seeks to address the fuzzy mode, fuzzy nonparametric test, and fuzzy cluster analysis to clarify the lying related data. The study shows that using fuzzy logics to detect lying behaviors is a practical method to improve the traditional one. The fuzzy methods also reveal that students were afraid of being caught when they lied, and that they tended to be more tensed when lying. Students were not concerned with whether their lying made people felt bad. When students lie, they tended toward nervous.
    Relation: International Journal of Innovative Management Information & Production, 3(3), pp.30-43
    Appears in Collections:[Master's Program, Graduate Institute of Educational Policy and Leadership] Journal Article

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