| dc.contributor.advisor | 黃旻華 | zh_TW |
| dc.contributor.author (Authors) | 呂宜勵 | zh_TW |
| dc.creator (作者) | 呂宜勵 | zh_TW |
| dc.date (日期) | 2006 | en_US |
| dc.date.accessioned | 19-Sep-2009 15:29:00 (UTC+8) | - |
| dc.date.available | 19-Sep-2009 15:29:00 (UTC+8) | - |
| dc.date.issued (上傳時間) | 19-Sep-2009 15:29:00 (UTC+8) | - |
| dc.identifier (Other Identifiers) | G0093252005 | en_US |
| dc.identifier.uri (URI) | https://nccur.lib.nccu.edu.tw/handle/140.119/34493 | - |
| dc.description (描述) | 碩士 | zh_TW |
| dc.description (描述) | 國立政治大學 | zh_TW |
| dc.description (描述) | 政治研究所 | zh_TW |
| dc.description (描述) | 93252005 | zh_TW |
| dc.description (描述) | 95 | zh_TW |
| dc.description.abstract (摘要) | 政治學者近年來已將多層線性模型當作研究政治文化的重要工具，不但應用在既有的資料庫分析上，同時也希望在資料蒐集過程中將所需要的資料特性納入抽樣設計裏，以期能克服目前此法在應用上所面臨的問題。在眾多問題中，最重要的莫過於是「總樣本數一定下個體和總體層次樣本數組合如何影響推論可靠性的問題」，學界對此過往是採取「30/30原則」，也就是個體和總體層次的樣本數都至少要在30個以上推論才會比較穩定，但近來許多研究顯示，如果將個體層次的樣本數縮減到15個而極大化總體層次樣本數，所得出的推論會比「30/30原則」來得更穩定，因此許多學者紛紛倡議應採用新發現而捨棄「30/30原則」。本文針對這樣的提議，利用教育學及政治學二領域資料，從模型意含的討論，進而使用模擬方法來測試這樣的提議是否站得住腳。 本文發現「極大化總體層次樣本數」原則並不能當作普遍認知，因為過往的所有文獻皆對單一母體資料進行剖析，尚未察覺母體資料型態影響參數表現的可能性，然而，本研究變化不同資料特性進行模擬結果顯示，母體資料結構確實會造成不同的參數表現，以致最適樣本組合也跟著不同。另外，我們觀察到固定效果和隨機效果的最適樣本配置偏重於不同層次的樣本數目，固定參數、固定效果以總體層次為主，但隨機參數、隨機效果、迴歸參數等卻不能忽視個體層次樣本個數，所以研究者都應該認真思考其在意的參數為何，才能針對所關切的現象本身設計出最適樣本配置，而做出實質且有效的討論。 | zh_TW |
| dc.description.tableofcontents | 第一章 導論...............................................1第一節 研究動機與目的......................................1第二節 複層次迴歸模型的應用.................................4第三節 多層線性模型的數學基礎...............................8第四節 文獻檢閱...........................................16第五節 章節安排...........................................21第二章 研究設計...........................................23第一節 研究方法與研究架構..................................23第二節 資料來源與模型設定..................................27第三節 研究限制...........................................30第三章 教育學調查的模擬結果................................37第一節 固定參數的表現.....................................40第二節 隨機效果的表現.....................................51第三節 迴歸參數的表現.....................................60第四節 小結..............................................63第四章 世界價值調查的模擬結果..............................65第一節 固定效果的表現.....................................67第二節 隨機效果的表現.....................................71第三節 迴歸參數的表現.....................................75第四節 小結..............................................76第五章 結論與展望.........................................77第一節 研究發現...........................................77第二節 對政治學研究的意義..................................79第三節 未來研究的方向.....................................81參考書目...................................................83一.中文部份................................................83二.英文部份...............................................83 | zh_TW |
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| dc.language.iso | en_US | - |
| dc.source.uri (資料來源) | http://thesis.lib.nccu.edu.tw/record/#G0093252005 | en_US |
| dc.subject (關鍵詞) | 多層線性模型 | zh_TW |
| dc.subject (關鍵詞) | 一般化貝氏模型 | zh_TW |
| dc.subject (關鍵詞) | 反覆抽樣 | zh_TW |
| dc.subject (關鍵詞) | 抽樣設計 | zh_TW |
| dc.title (題名) | 多層線性模型的分層樣本數組合問題：對跨國政治文化研究的啟示 | zh_TW |
| dc.type (資料類型) | thesis | en |
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