臺灣博碩士論文加值系統

因為電腦的普及和網際網路的進步，問卷調查已從傳統的紙本問卷轉變到現在普遍使用的網路問卷。但網路問卷仍有許多缺點，其中最嚴重的問題是，許多網路問卷受測者在填寫問卷過程中不專心，導致問卷樣本品質不良。但是要如何判斷樣本品質的好壞至今都還沒有一個具體的解決辦法。
有鑑於此，本研究利用填寫問卷的時間做為判斷問卷樣本品質的依據。本研究建立網路問卷平台，蒐集受測者填寫每題問卷題目的填寫時間，並提出四種過濾樣本的統計方法進行受測樣本過濾。藉由過濾樣本後的問卷信度變化情形，觀察填答時間對於問卷調查品質的影響。本研究提出四種將樣本過濾的統計方法為，(1) 每份問卷樣本的總填答時間(Total filling-out time per sample, TTPS)異常者、 (2)填寫問卷各題的時間變異程度(Variance of per question's filling time of per sample, VQTS)異常大者，(3)問卷的單題填答時間(Single filling time per question in sample sets, STPQ)異常者及(4)問卷填答時間異常的題數多寡(Number of abnormal STPQ in sample sets, NASTPQ)為樣本過濾的準則。
根據本研究的研究數據顯示，利用受測者填寫問卷的時間當作樣本的過濾準則會提高整份問卷的信度(四種過濾方法皆會提高問卷信度)，如果想要使問卷信度能夠明顯提高又能使樣本數保持在一定的數量，NASTPQ則是最適合的方法。除此之外， 透過本研究發現，利用本研究所提出的四種過濾方法過濾受測樣本，所獲得的問卷信度比用反向題過濾受測樣本的問卷信度還要高，而且利用反向題過濾樣本後，再用本研究的方法過濾樣本，可以更有效的將較劣質的樣本過濾掉，獲得更高的問卷信度。簡而言之，本研究透過觀察受測者填寫問卷的時間以及問卷品質之間的關係，且在提高問卷品質的部分提出比反向題過濾更好的方法。

Because of the popularity of internet, web surveys replace the roles of paper ones to become the main trend of data collection. Web survey has many advantages including fast sample collection, low cost and ready-for-input data for statistics software. However, the most serious problem of web survey is sample quality since many web users hardly concentrate on answering surveys. Therefore, this research focuses on investigating how the answering time influences survey quality measured by reliability. This research builds a platform to collect sample answering time and proposes four methods based on the answering time to filter out bad samples. Four proposed statistical methods are Total filling-out time per sample (TTPS), Variance of per question's filling time of per sample (VQTS) , Single filling time per question in sample sets (STPQ) and Number of abnormal STPQ in sample sets (NASTPQ).
Our results show all filtering methods raise sample reliability successfully. In terms of keeping the original sample size and improving reliability at the same time, NASTPQ has the best performance. Furthermore, in reliability improvement, we found our methods not only have better efficacy than reverse coding, but also can assist reverse coding to have better bad-sample-filtering. In conclusion, this research investigates the relationship between answering time and answering quality of web survey, and proposes better solution than reverse coding in improving survey quality.

目錄
摘要 I
Abstract II
誌謝 III
目錄 IV
圖目錄 VII
表目錄 VIII
第一章 緒論 1
1.1 研究背景與動機 1
1.2 研究問題與目的 2
1.3 研究流程 3
第二章 文獻回顧 4
2.1 網路問卷調查的基本概念 4
2.2 網路問卷調查的潛在問題 5
2.2.1網路問卷的誤差問題 5
2.2.2網路問卷的回覆率問題 7
2.3 影響網路問卷信度之因素 9
2.3.1問卷製作者方面 9
2.3.2問卷填答者方面 11
2.3.3其他因素 12
2.4 現有確保網路問卷信度的方法 13
2.4.1避免自願性樣本 13
2.4.2適當的樣本過濾 14
2.4.3適當的加權處理 14
2.4.4增加問卷樣本數 14
2.5 填答時間與問卷信度關係探討 16
2.6 本章小結 18
第三章 研究方法 19
3.1 研究模式 19
3.1.1研究架構 19
3.1.2問卷的過濾方法 20
3.1.3研究假設 22
3.2 實驗設計 24
3.2.1實驗流程 24
3.2.2樣本過濾流程 26
3.3 資料分析方法 28
3.3.1樣本基本資料分析 28
3.3.2填答時間異常判斷 28
3.3.3問卷信度分析 28
3.3.4填寫問卷時間差異分析 29
第四章 研究資料分析 30
4.1樣本結構分析 30
4.2樣本過濾分析 34
4.2.1用填答時間過濾問卷樣本之信度分析 34
4.2.2問卷題數與四種過濾方法之關係 37
4.2.3人格與填寫問卷時間之關係 39
4.2.4性別與填寫問卷時間之關係 41
4.3假設驗證與小結 42
第五章 研究結論與建議 44
5.1研究結論 44
5.2研究建議 45
5.2.1實務建議 45
5.2.2後續研究者 45
參考文獻 47
中文部分 47
英文部分 47
附錄-實驗問卷 52

 
圖目錄
圖1-1 本研究之流程圖 3
圖2-1 網路調查回應狀況示意圖 8
圖3-1 本研究概念架構圖一(問卷無反向題) 19
圖3-2 本研究概念架構圖二(問卷有反向題) 20
圖3-3 網路問卷平台首頁截圖 24
圖3-4 實驗問卷範例 25
圖3-5 實驗流程圖 26
圖3-6 利用填答時間及反向題過濾樣本示意圖 27
圖3-7 盒狀圖法範例圖 28
圖4-1 性別分佈圖 30
圖4-2 年齡分佈圖 30
圖4-3 職業分佈圖 31
圖4-4 教育程度分佈圖 31
圖4-5 人格類型分佈圖 32
圖4-6 四種方法之信度變化比較圖 34
圖4-7 反向題過濾加上四種方法於問卷信度之變化比較圖 36
圖4-8 有反向題過濾和無反向題過濾於問卷信度之比較圖 37
圖4-9 問卷題數與四種方法之信度變化關係 38
圖4-10 問卷題數與四種方法之信度增減示意圖 39
 
表目錄
表2-1 影響網路問卷信度之因素 13
表2-2 網路問卷完成率和成本關係表 15
表3-1 本研究名詞對照表 20
表3-2 問卷填答時間範例 21
表4-1 樣本結構分佈表 33
表4-2 四種方法於問卷信度之變化比較表 34
表4-3 被過濾樣本之人格分佈 35
表4-4 被過濾樣本之性別分佈 35
表4-5 反向題過濾加上四種方法於問卷信度之變化比較表 36
表4-6 問卷題數與四種方法之信度變化關係 37
表4-7 問卷題數與四種方法之信度增減表 38
表4-8 不同人格與問卷總填寫時間之ANOVA分析 39
表4-9 不同人格與問卷總填寫時間之描述性分析 40
表4-10 不同人格與問卷填寫時間變異之ANOVA分析 40
表4-11 不同人格與問卷填寫時間變異之描述性分析 40
表4-12 不同性別與問卷總填寫時間之ANOVA分析 41
表4-13 不同性別與問卷總填寫時間之描述性分析 41
表4-14 不同性別與問卷填寫時間變異之ANOVA分析 42
表4-15 不同性別與問卷填寫時間變異之描述性分析 42
表4-16 假設驗證總表 43

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