臺灣博碩士論文加值系統

社會科學研究中常使用問卷的方式獲取資料以分析研究，但李克特式資料相較於一般常態性資料會有資訊遺漏的情形發生，導致會影響到問卷分析時之顯著水準及檢定力，本文探討在隨機效果下，樣本數對組內相關係數檢定的影響，主要方向為需要多大的樣本數才會使檢定的效果及正確性和常態資料相當。

In social science research, we often get data from questionnaires to conduct a series of analysis. There are more or less missing data while we use the likert-type scale data, resulting the biases of the significant level and the power. This paper aims to discuss what the influence of sample size would bring to the test of intraclass correlation coefficient in the random effects model. The main direction is to figure out the simple size which can enable the effects of the test and accuracy to get pretty closer to the normality data.

中文摘要 ii
Abstract iii
致謝 iv
目錄 v
表目錄 vii
圖目錄 xi

第一章 緒論 - 1 -
1.1 研究動機與目的 - 1 -
1.2 文獻探討 - 3 -
第二章 理論與模式 - 4 -
2.1 隨機效果模型假設 - 5 -
2.2 組內相關係數之假設檢定 - 6 -
第三章 模擬分析 - 8 -
3.1 模擬顯著水準 - 10 -
3.1.1平移效果對顯著水準之影響 - 10 -
3.1.2組內個數效果對顯著水準之影響 - 11 -
3.2 模擬檢定力 - 12 -
3.2.1平移效果對檢定力之影響 - 12 -
3.2.2組內個數效果對檢定力之影響 - 14 -
3.2.3組數效果對檢定力之影響 - 15 -
3.2.4抵銷平移效果對檢定力之負向效果 - 15 -
第四章 結論 - 19 -
參考文獻 - 20 -
附錄：數據分析 - 21 -

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