查詢結果分析
來源資料
頁籤選單縮合
題 名 | 臺灣2000年總統選舉民調之準確度評量與影響因素分析=An Analysis of Poll Performance and the Influential Factors of "Trail Heat" Polls during Taiwan's 2000 Presidential Election |
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作 者 | 蘇建州; | 書刊名 | 調查研究 |
卷 期 | 12 2002.10[民91.10] |
頁 次 | 頁91-109 |
分類號 | 540.19 |
關鍵詞 | 選舉調查; 民調準確度評量法; Presidential election; Polling accuracy measurement; |
語 文 | 中文(Chinese) |
中文摘要 | 選舉調查(預測得票率)是一種很特別的調查,因為可以有最終的選舉結果作為計算調查準確度的目標值,而藉由評價、比較調查機構在歷屆選舉預測中的表現,得以使調查技術有持續的進步,不僅有助於提高選舉預測的品質水準,改進後的調查技術更可廣為其它領域所應用。然而由於缺乏一套公正、客觀、精確的評量方法,國內民調工作者與學者都很少在選後針對如何評價選舉預測表現的問題進行探討。 近年來在總統與北高市長陸續改由人民直選後,民衆對選舉的關心與參與已明顯提高,學術界、媒體、調查專業機構更是紛紛在選舉期間投入選舉預測,因此我們有足夠的民調樣本來探討準確度評量的問題。然而由於在臺灣2000年的總統選舉中主要候選人有三位,且大多數民調中未決定選民的比例都超過25%,因此Mitofsky(1998)用以評量1996美國總統大選民調,以及Traugott(2001)用以評量2000美國總統大選民調的方法並不適用評量臺灣2000年選舉的民調,因此本研究將提出修正的方法。此外,本研究也將比較不同民調準確度評量法間的一致性與相關性,以及探討影響調查準確度的七個因子(調查頻率、未決定受訪者比例、民調出資機構、民調委託與否、調查作業時間長度、樣本數、與選舉日距離)對臺灣2000年總統選舉民調的「平均誤差值」與「對個別候選人高估(或低估值)」的影響。 |
英文摘要 | The majority of surveys often cannot be evaluated due to a lack of actual feedback. However, pre-election polls offer a unique advantage that it can be examined by the final outcome of the election. Through measuring the margin of error from the final vote tally, we can improve the survey methodologies in a wide area of application. Nevertheless, few research has focused on a assessing Taiwan's pre-election poll performance in the past. In Taiwan, people are becoming more and more interested in and concerned with election campaigns. Before every important election, journalists, pollsters, and political commissions perform dozens of pre-election polls. Therefore, we can have sample size large enough to make quantity analysis now. In this paper, we collected poll results for the 2000 election campaign of Taiwan, R.O.C, where the data was restricted to those groups that have polls published in public. After modified Mitofsky's (1996) and Traugott's (2001) polling accuracy methods and reallocated the "undecided" in polls, the modified method was adopted for evaluating Taiwan's 2000 poll performances. Furthermore, some statistical techniques were used for analyzing seven influential factors, including survey frequency, undecided rate, recommendation organization, conducting status, field days, effective sample size, and days to election in this paper. |
本系統中英文摘要資訊取自各篇刊載內容。