網際網路的發達，使得現今許多研究人員透過網路平台進行資料搜集與分析。然而網路調查依舊存在許多缺點，本研究為一探索性研究，希望從抽樣方式下手，解決網路問卷的代表性問題，利用加入限制條件的抽樣模式讓樣本趨近於母體，藉此增加網路問卷蒐集資料的效度。 已有研究結果顯示，願意參與網路問卷的族群有相關特性，在目前還未找到有效統計抽樣方法前，透過歸納網路使用者特性以及影響經濟領域程度來擬定題型範圍，進而擴大研究。本篇鎖定目前網路使用族群，將適合作為網路調查主題分為六大類，綜合網路對於個領域的影響，進一步透過命題推導的方式，推導出這六類主題延伸的內容，產生之問卷能有較佳的效度。;As the increasing of Internet coverage, many researches use Web as platform to collect data. Sampling in online survey requires much less time and effort than traditional (face-to-face, telephone etc.) method. However, there is no specific distribution of Internet users. To solve this problem, adding limitation factors in sampling model may keep selecting samples approaching population and increase validity and reliability. There are few researches about sampling method improvement, therefore; before we find better approach, this research classifies survey topic into six categories. Through proposition approach, this research gives some advice about contents. Online survey topics through those contents extended from six categories will increase validity.
