期刊目錄列表 - 50卷第2期(2005.10) - 【教育類】50(2)
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在學青少年生活痛苦指標發展之研究
作者:黃芳銘(國立嘉義大學教育學系)、楊金寶(國立台北護理學院嬰幼兒保育學系)、許福生(中央警察大學行政警察學系)
卷期:50卷第2期
日期:2005年10月
頁碼:97-119
DOI:10.3966/2073753X2005105002006
摘要:
本研究主要是透過一系列嚴謹的分析程序來建立一份具有信效度的在學青少年生活痛苦指數量表。蒐集全國在學青少年共1494 份有效問卷,將其以SPSS10.0 軟體隨機區分為三組樣本,每組各498 份。第一組樣本以探測性因素分析來獲得因素成份,結果顯示此份量表有五個因素,分別命名為「學校環境因素」、「家庭影響因素」、「社會情境因素」、「未來發展因素」,以及「政府作為因素」。接著將其建構成在學青少年生活痛苦指數的一系列競爭模式,以第二組樣本來做驗證性因素分析的評鑑,結果顯示五因素斜交模式是最為簡效的模式,對此一模式做內在結構適配評鑑也顯示觀察變項與潛在變項皆具有良好的信度、聚合效度,以及區別效度。第三組樣本則是作為複核效化的評鑑,結果顯示五因素斜交模式具有穩定性以及預測力。
關鍵詞:生活痛苦指數,複核效化,競爭模式,驗證性因素分析
《詳全文》
Journal directory listing - Volume 50 Number 2 (2005/October) - Education【50(2)】
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Development of an At-School Adolescent“Everyday Misery” Index
Author: Fang-Ming Hwang(Department of Education,NCYU),Kin-Bao Yang(Department of Infant and Child Care,NTCN),Fu-Seng Hsu(Department of Police Administration,CPU)
Vol.&No.:Vol. 50, No. 2
Date:October 2005
Pages:97-119
DOI:10.3966/2073753X2005105002006
Abstract:
The purpose of this study was to develop, using a series of analytic procedures, a reliable and valid scale for measuring adolescents’ perception of “everyday misery” at school. 1494 valid questionnaires were collected from the Taiwan area. The samples were divided into three sets by an SPSS10.0 random procedure. The first sample set was used to generate the factors through exploratory factor analysis: this resulted in a scale of five factors: the “school environment factor,” “family influence factor,” “social situation factor,” “future development factor,” and “government-generated factor.” Then a series of competing models was established and evaluated by the second sample set using confirmatory factor analysis procedure. The five-factor oblique model was found to be the most efficient one. The internal-component evaluation found that latent variables have good reliability, convergent validity, and discriminant validity. The cross-validation was tested by the third sample set for the model. The model’s stability and predictive power were confirmed.
Keywords:“Everyday Misery” index, cross-validation, competing models, confirmatory factor analysis