发布求助
文献互助 智能选刊 最新文献

Statistics, politics, and policy最新文献

筛选
英文 中文
An Attempt to Position the German Political Parties on a Tree for 2013 and 2017 试图在2013年和2017年将德国政党定位在一棵树上
Statistics, politics, and policy Pub Date : 2018-06-01 DOI: 10.1515/SPP-2018-0001
Erich Prisner
{"title":"An Attempt to Position the German Political Parties on a Tree for 2013 and 2017","authors":"Erich Prisner","doi":"10.1515/SPP-2018-0001","DOIUrl":"https://doi.org/10.1515/SPP-2018-0001","url":null,"abstract":"Abstract We try to calculate the position of the six largest German political parties to each other in 2013 and 2017, based on data of Wahl-O-Mat, a German Voting Advice Application. Different to other existing approaches, we do not try to locate these parties in an Euclidean space, but rather on topological trees (with the straight line, the usual left-right model, being the simplest one). This approach has the advantage that – different to two- or higher dimensional spaces – our model allows betweenness information, keeping the parties linearly ordered at least at parts of the tree, with possible conclusions about center or periphery of the political landscape, and possible coalitions. We do not focus primarily on distance but after the topological model is found, we attempt to approximate these distances, in a second step.","PeriodicalId":90055,"journal":{"name":"Statistics, politics, and policy","volume":"8 1","pages":"31 - 56"},"PeriodicalIF":0.0,"publicationDate":"2018-06-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"88064683","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
引用次数: 0
Frontmatter
Statistics, politics, and policy Pub Date : 2018-06-01 DOI: 10.1515/spp-2018-frontmatter1
{"title":"Frontmatter","authors":"","doi":"10.1515/spp-2018-frontmatter1","DOIUrl":"https://doi.org/10.1515/spp-2018-frontmatter1","url":null,"abstract":"","PeriodicalId":90055,"journal":{"name":"Statistics, politics, and policy","volume":"35 10 1","pages":""},"PeriodicalIF":0.0,"publicationDate":"2018-06-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"82793285","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
引用次数: 0
A Semi-automatic Method to Retrieve Twitter Accounts 一种半自动检索Twitter帐户的方法
Statistics, politics, and policy Pub Date : 2017-12-20 DOI: 10.1515/SPP-2017-0011
Florence Ecormier-nocca
{"title":"A Semi-automatic Method to Retrieve Twitter Accounts","authors":"Florence Ecormier-nocca","doi":"10.1515/SPP-2017-0011","DOIUrl":"https://doi.org/10.1515/SPP-2017-0011","url":null,"abstract":"","PeriodicalId":90055,"journal":{"name":"Statistics, politics, and policy","volume":"41 1","pages":"139-151"},"PeriodicalIF":0.0,"publicationDate":"2017-12-20","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"77880803","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
引用次数: 0
How to Lose Cases and Influence People 如何败诉，影响他人
Statistics, politics, and policy Pub Date : 2017-12-20 DOI: 10.1515/spp-2017-0013
R. Hinkle, M. J. Nelson
{"title":"How to Lose Cases and Influence People","authors":"R. Hinkle, M. J. Nelson","doi":"10.1515/spp-2017-0013","DOIUrl":"https://doi.org/10.1515/spp-2017-0013","url":null,"abstract":"Abstract Dissenting opinions are common in the US Supreme Court even though they take time and effort, risk infuriating colleagues, and have no precedential value. In spite of these drawbacks, dissents can potentially contribute to future legal development. We theorize that dissenting justices who use more memorable language are more successful in achieving such long-term impact. To test this theory, we amass an original dataset of citations to dissenting opinions extracted directly from majority opinion text. We further leverage these texts to build an algorithm that quantifies the distinctiveness of dissenting language within a dynamic context. Our results indicate that dissents using more negative emotion and more distinctive words are cited more in future majority opinions. These results contribute to our understanding of how language can influence long-term policy development.","PeriodicalId":90055,"journal":{"name":"Statistics, politics, and policy","volume":"16 1","pages":"195 - 221"},"PeriodicalIF":0.0,"publicationDate":"2017-12-20","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"88732476","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
引用次数: 4
Unpacking Big Data in Education. A Research Framework 解读教育中的大数据。研究框架
Statistics, politics, and policy Pub Date : 2017-12-20 DOI: 10.1515/spp-2017-0014
R. De Rosa, Biagio Aragona
{"title":"Unpacking Big Data in Education. A Research Framework","authors":"R. De Rosa, Biagio Aragona","doi":"10.1515/spp-2017-0014","DOIUrl":"https://doi.org/10.1515/spp-2017-0014","url":null,"abstract":"Abstract The use of big data represents a valuable way to inspire decision-making in a time of scarce resources. The technological revolution is in fact enabling governments to use a great variety of digital tools and data to manage all phases of the policy cycle process, becoming a core element for e-governance applications and techniques. However, research is seemingly not yet aligned yet with the hybrid environment that both public policies and politics are moving in, while the actors (old and new) and the decision-making processes themselves, in their searching for automation and objectivity, risk being overshadowed. Taking the case of Higher Education, this article proposes a research framework for big-data use to prompt the reflection on the power of “evidence” in decision making; to question and contextualize such evidences in a multimodal and integrated scenario, and to understand the challenges that data will pose to education both in terms of unforeseen and hidden effects.","PeriodicalId":90055,"journal":{"name":"Statistics, politics, and policy","volume":"10 1","pages":"123 - 137"},"PeriodicalIF":0.0,"publicationDate":"2017-12-20","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"87311157","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
引用次数: 2
Themes and Topics in Parliamentary Oversight Hearings: A New Direction in Textual Data Analysis 议会监督听证会的主题与议题:文本数据分析的新方向
Statistics, politics, and policy Pub Date : 2017-12-20 DOI: 10.1515/spp-2017-0012
James E. Sanders, Giulio Lisi, Cheryl Schonhardt-Bailey
{"title":"Themes and Topics in Parliamentary Oversight Hearings: A New Direction in Textual Data Analysis","authors":"James E. Sanders, Giulio Lisi, Cheryl Schonhardt-Bailey","doi":"10.1515/spp-2017-0012","DOIUrl":"https://doi.org/10.1515/spp-2017-0012","url":null,"abstract":"Abstract This paper contributes to the growing empirical work on deliberation in legislatures by proposing a novel approach to analysing parliamentary hearings using both thematic and topic modelling textual analysis software. We explore variations in deliberative quality across economic policy type (fiscal policy, monetary policy and financial stability) and across parliamentary chambers (Commons and Lords) in UK select committee oversight hearings during the 2010–2015 Parliament. Our overall focus is not only to suggest a multi-method approach to the textual analysis of parliamentary data, but also to explore more substantive aspects of parliamentary oversight, such as: (1) the extent to which oversight varies between unelected and elected policy makers; and (2) whether parliamentarians conduct oversight more forcefully or more along partisan lines when they are challenging fellow politicians as opposed to central bank officials. Our findings suggest consistent differences in deliberative styles between types of hearings (fiscal, monetary, financial stability) and between chambers (Commons, Lords).","PeriodicalId":90055,"journal":{"name":"Statistics, politics, and policy","volume":"04 1","pages":"153 - 194"},"PeriodicalIF":0.0,"publicationDate":"2017-12-20","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"78632428","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
引用次数: 11
Examining the Policy Learning Dynamics of Atypical Policies with an Application to State Preemption of Local Dog Laws 研究非典型政策的政策学习动态，并应用于地方狗法律的国家优先购买权
Statistics, politics, and policy Pub Date : 2017-12-20 DOI: 10.1515/SPP-2017-0009
P. Michael, L. Joshua
{"title":"Examining the Policy Learning Dynamics of Atypical Policies with an Application to State Preemption of Local Dog Laws","authors":"P. Michael, L. Joshua","doi":"10.1515/SPP-2017-0009","DOIUrl":"https://doi.org/10.1515/SPP-2017-0009","url":null,"abstract":"Most of the literature on policy diffusion focuses on palpable issues such as economic or morality policies. As such, we know little about the mechanisms of diffusion for preemption of atypical policies such as animal regulations that lack a clear economic or ideological motivation. In this article, we propose and test a theory of conditional policy learning to explain the diffusion of atypical policies. We posit that a type of policy learning is occurring here, but that states only look to their neighbors when certain policy specific factors are present in their state. His theory is then applied to examine the dynamics of state adoption of laws preempting local Breed Specific Legislation from 1988 to 2014. Using an exponential model, two policy learning and two conditional learning hypotheses are tested. This study finds that policy learning is occurring through both external and internal pathways. This advances the literature by demonstrating that preemption occurs through the learning mechanism, but this learning effect is conditioned on policy relevant factors within the state.","PeriodicalId":90055,"journal":{"name":"Statistics, politics, and policy","volume":"48 1","pages":"223-247"},"PeriodicalIF":0.0,"publicationDate":"2017-12-20","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"80895365","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
引用次数: 1
Less Supervision, More Satisficing? Comparing Completely Self-Administered Web-Surveys and Interviews Under Controlled Conditions 更少的监督，更令人满意?比较完全自我管理的网络调查和受控条件下的访谈
Statistics, politics, and policy Pub Date : 2017-10-26 DOI: 10.1515/spp-2017-0005
M. Mühlböck, Nadia Steiber, Bernhard Kittel
{"title":"Less Supervision, More Satisficing? Comparing Completely Self-Administered Web-Surveys and Interviews Under Controlled Conditions","authors":"M. Mühlböck, Nadia Steiber, Bernhard Kittel","doi":"10.1515/spp-2017-0005","DOIUrl":"https://doi.org/10.1515/spp-2017-0005","url":null,"abstract":"Abstract Although online surveys are becoming more and more prominent, the quality of the resulting data is still contested. One potential caveat of web surveys is the absence of an interviewer who controls the interview situation, can motivate respondents and prevent them from satisficing, i.e. answering questions with minimal cognitive effort. While there is evidence for differences between data gathered in interviewer-administered surveys and data from self-administered questionnaires, it has not yet been studied whether the sheer presence of an interviewer affects data quality. The present article addresses this research gap. Based on a recent panel study of young unemployed adults, we compare the results from a completely self-administered web survey with those from interviews which were self-administered but conducted in the presence of an interviewer. In particular, we look for differences concerning drop-out, speed, item-non-response, and item-non-differentiation. While we do find significant differences in drop-out rates, we do not find any evidence for interviewer-absence leading to less diligence in filling in the questionnaire. We thus conclude that the presence of an interviewer does not enhance data quality for self-administered questionnaires, but positively affects completion rates.","PeriodicalId":90055,"journal":{"name":"Statistics, politics, and policy","volume":"18 1","pages":"13 - 28"},"PeriodicalIF":0.0,"publicationDate":"2017-10-26","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"79911620","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
引用次数: 1
Did Shy Trump Supporters Bias the 2016 Polls? Evidence from a Nationally-representative List Experiment 害羞的特朗普支持者对2016年的民意调查有偏见吗?来自全国代表性清单实验的证据
Statistics, politics, and policy Pub Date : 2017-10-26 DOI: 10.1515/spp-2016-0005
A. Coppock
{"title":"Did Shy Trump Supporters Bias the 2016 Polls? Evidence from a Nationally-representative List Experiment","authors":"A. Coppock","doi":"10.1515/spp-2016-0005","DOIUrl":"https://doi.org/10.1515/spp-2016-0005","url":null,"abstract":"Abstract Explanations for the failure to predict Donald Trump’s win in the 2016 Presidential election sometimes include the “Shy Trump Supporter” hypothesis, according to which some Trump supporters succumb to social desirability bias and hide their vote preference from pollsters. I evaluate this hypothesis by comparing direct question and list experimental estimates of Trump support in a nationally representative survey of 5290 American adults fielded from September 2 to September 13, 2016. Of these, 32.5% report supporting Trump’s candidacy. A list experiment conducted on the same respondents yields an estimate 29.6%, suggesting that Trump’s poll numbers were not artificially deflated by social desirability bias as the list experiment estimate is actually lower than direct question estimate. I further investigate differences across measurement modes for relevant demographic and political subgroups and find no evidence in support of the “Shy Trump Supporter” hypothesis.","PeriodicalId":90055,"journal":{"name":"Statistics, politics, and policy","volume":"14 1","pages":"29 - 40"},"PeriodicalIF":0.0,"publicationDate":"2017-10-26","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"78874646","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
引用次数: 29
Roosevelt Predicted to Win: Revisiting the 1936 Literary Digest Poll 罗斯福必胜:回顾1936年《文学文摘》民意调查
Statistics, politics, and policy Pub Date : 2017-10-26 DOI: 10.1515/spp-2016-0006
S. Lohr, J. Brick
{"title":"Roosevelt Predicted to Win: Revisiting the 1936 Literary Digest Poll","authors":"S. Lohr, J. Brick","doi":"10.1515/spp-2016-0006","DOIUrl":"https://doi.org/10.1515/spp-2016-0006","url":null,"abstract":"Abstract The Literary Digest poll of 1936, which incorrectly predicted that Landon would defeat Roosevelt in the 1936 US presidential election, has long been held up as an example of how not to sample. The sampling frame was constructed from telephone directories and automobile registration lists, and the survey had a 24% response rate. But if information collected by the poll about votes cast in 1932 had been used to weight the results, the poll would have predicted a majority of electoral votes for Roosevelt in 1936, and thus would have correctly predicted the winner of the election. We explore alternative weighting methods for the 1936 poll and the models that support them. While weighting would have resulted in Roosevelt being projected as the winner, the bias in the estimates is still very large. We discuss implications of these results for today’s low-response-rate surveys and how the accuracy of the modeling might be reflected better than current practice.","PeriodicalId":90055,"journal":{"name":"Statistics, politics, and policy","volume":"49 1","pages":"65 - 84"},"PeriodicalIF":0.0,"publicationDate":"2017-10-26","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"81734291","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
引用次数: 3
首页 上一页 下一页 尾页
0
×
引用
GB/T 7714-2015
复制
MLA
复制
APA
复制
导出至
BibTeX EndNote RefMan NoteFirst NoteExpress
×
提示
您的信息不完整，为了账户安全，请先补充。
现在去补充
×
提示
您因"违规操作"
具体请查看互助需知
我知道了
×
提示
现在去查看 取消
×
提示
确定
请完成安全验证×
相关产品
×
本文献相关产品
联系我们：info@booksci.cn Book学术提供免费学术资源搜索服务，方便国内外学者检索中英文文献。致力于提供最便捷和优质的服务体验。 Copyright © 2023 布克学术 All rights reserved.
京ICP备2023020795号-1
ghs 京公网安备 11010802042870号
Book学术文献互助
Book学术文献互助群
群 号：604180095
Book学术官方微信
小红书