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3 article(s) found.
Teng-wen Chang,Ph.D. Candidate, Department of Public Administration, National Chengchi University.
Tong-yi Huang,Professor, Department of Public Administration, National Chengchi University.
Yung-tai Hung,Retired Professor, Department of Political Science, National Taiwan University.
Post-Strati.ed Estimation Procedures for the Dual Frame Telephone Survey in Taiwan: The Case of the 2016 Presidential Election Download
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The advancement of information and communication technologies has greatly changed the lifestyle of people while using landline surveys in soliciting precise public opinion is becoming limited. As people use a variety of devices such as cellphones, internet phones and APPs in daily communication, problems of insufficient population coverage arise from relying only on landline phones to reach respondents. Therefore, a daunting task in the telephone polling industry is to ensure sample representation for obtaining precise population parameters. To achieve such an objective, a common practice by pollsters in Taiwan is to use household data as weighting statistics. Many cases, however, have shown this practice to be inappropriate.
To solve the above-mentioned problem, this study proposes an estimation method based on a dual frame survey that combines landline phones and cellphones. We further use data from the 2016 presidential election to compare different estimations based on a dual frame survey. Our results demonstrate that a “landline survey supplemented by cellphone-only” is the best combination, considering sample coverage and estimation error. The second-best alternatives are “cellphone survey supplemented by landline-only” and “use both landline and cellphone.” In other words, “the most economical and efficient” strategy of a dual frame survey is to conduct a traditional landline survey and incorporating cellphone-only respondents. The data collected in such combination not only reflect the characteristics of the population, but also cost much less than other strategies.
Shun-Chuan Chang, Ph. D Candidate of Graduate Institute of Business and Management, National Chiao Tung University.
Wen-Jong Juang, Assistant Professor of Department of Public Policy and Managemet, Shih Hsin University.
Change in Voting Behaviour: Applying an Election Forecasting Model of Probability Distributions to Modify the Accuracy of Poll Outcomes (in Chinese) Download
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Due to undervotes, misvotes, or switchvotes bias, many polling data users felt frustrated in using the past polling outcome to forecast the new election. It is commonplace for voters to note an early frontrunner in polls will be doomed to fall in the real election outcome. A beta-binominal distribution is suggested to model the accuracy of early poll outcome which strategically influences the polling data users such as political parties, candidates, and mass media in implementing the election campaign. We demonstrate the advantages of probabilistic distribution and Bayesian reasoning, and how to estimate the parameters from past data, in modifying the accuracy of prior poll outcomes. In comparison with the traditional frequency approach, beta-binominal mixture distribution imposes a statistical-adjusting framework with ability to proportionate a coherent mechanism that synthesizes the performances of prior votes. The empirical data sets include the 2004 US presidential election in Atlas Web and TVBS polls in 2006 Kaohsiung mayor election and 2008 presidential election in Taiwan. This paper describes the general fitting of beta-binomial distribution on both datasets and discusses fruitful avenues for future research.
Yung-Tai Hung, Research fellow, Election Study Center, National Chengchi University.
The Modernization of Campaign Strategy: A Case Study of 1997 Taoyuan County Magistrate Election (in Chinese) Download
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Managers of campaign headquarters often find it difficult to balance resource allocations between mobilization and propaganda divisions. The issue is critical in the battlefield but usually over-looked by academic circle. The study looks into the phenomenon using both aggregate and survey data and tries to explore the possibility of utilizing results of opinion polls for evaluating candidate performance. Analysis of aggregate data confirms the strength of mobilization but finds its role less significant. Its share of vote getting is shrinking as time changes. On the other hand, analysis of survey data shows that opinion polls can actually reflect the effectiveness of candidates' strategy in image building. However, if a re-search work want to get the most out of opinion polls it must plan ahead, hands in hands with campaign strategy, and put in more ingredients of network and communication behaviors.