Promoting Understanding of Statistics about Society IASE Roundtable Conference最新文献

{"title":"Do we teach regression correctly?","authors":"P. Hewson","doi":"10.52041/srap.16704","DOIUrl":"https://doi.org/10.52041/srap.16704","url":null,"abstract":"Many interesting social phenomena are innately multidimensional and require suitable data modelling tools. Regression modelling (which includes log linear modelling for contingency tables as a special case) is often the „go-to'“ tool. However, much of the math theory was developed for designed experiments (where explanatory variables X are orthogonal and fixed). Conversely, societal data is often observational with random non-orthogonal X. The pedagogic route to data modelling usually starts with linear models before the introduction of the generalised linear models that can address contingency tables. Whilst good textbooks do feature caveats, the search for a parsimonious model is often carried out in a manner that may promote unsafe interpretation of observational data. This poster tries to present a case for a reform in the teaching of regression for observational data.","PeriodicalId":165958,"journal":{"name":"Promoting Understanding of Statistics about Society IASE Roundtable Conference","volume":"11 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2016-12-30","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"128976724","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}

{"title":"Statistics education and monitoring progress towards civil rights","authors":"J. Engel, A. Schiller, Daniel Frischemeier, Rolf Biehler","doi":"10.52041/srap.16102","DOIUrl":"https://doi.org/10.52041/srap.16102","url":null,"abstract":"Monitoring societal progress towards respect of civil, economic, social and cultural human rights is mainly about analyzing trends in mass phenomena that may contradict the purposes and visions of an open society which promises equity and fairness to all its members. To assess these trends requires statistical knowledge and understanding of multivariate phenomena. For educators, these topics address issues beyond teaching technical skills for analyzing data and concern matters of value clarification, understanding and embracing the principles of human equality and dignity - topics that address the mind and the heart. Moreover, students experience statistical analyses playing a role in understanding pressing social and political issues of our time. Exemplified by data from the EU Agency for Fundamental Rights and by a large multivariate data set on racial bias in European football we discuss potentials and implications of taking this topic to the classroom.","PeriodicalId":165958,"journal":{"name":"Promoting Understanding of Statistics about Society IASE Roundtable Conference","volume":"13 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2016-12-30","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"114874953","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}

{"title":"Enhancing the understanding of statistics through student- conducted data gathering","authors":"Mary Gray","doi":"10.52041/srap.16302","DOIUrl":"https://doi.org/10.52041/srap.16302","url":null,"abstract":"The role of real data in helping to develop statistical thinking in students has been generally recognized, but most often existing data is analyzed. A series of cooperative projects among graduate and undergraduate students demonstrated that the collection of data can also play an important role in establishing enthusiasm as well as learning among a heterogeneous group of students. Topics selected, including an examination of the impact of voter ID laws in the state of Virginia, highlight the engagement of students in the study of evidence-based policy","PeriodicalId":165958,"journal":{"name":"Promoting Understanding of Statistics about Society IASE Roundtable Conference","volume":"166 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2016-12-30","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"116427245","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}

{"title":"Using mobile devices for interactively visualizing basic statistical concepts and official data","authors":"H. Mittag","doi":"10.52041/srap.16507","DOIUrl":"https://doi.org/10.52041/srap.16507","url":null,"abstract":"This paper presents interactive learning objects for statistics education that are tailor-made for smartphones but operate as well on any other technical platform. The objects are self- contained and accessible as free educational resources, joined together to a web app. The introductory part of this paper briefly describes the current state of employment of mobile devices for learning and teaching purposes (m-learning). The ensuing part is dedicated to a new approach for m-learning in statistics education that puts heavy emphasis on interactive visualization. The visualization refers to statistical methods and concepts used in descriptive and inferential statistics and to selected data sets stemming from official data providers. The closing part contains an overview on experiences made so far and a few concluding remarks.","PeriodicalId":165958,"journal":{"name":"Promoting Understanding of Statistics about Society IASE Roundtable Conference","volume":"17 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2016-12-30","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"122160313","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}

{"title":"Hungarian visualization tools on official social-economic data in classes","authors":"P. Kovács","doi":"10.52041/srap.16506","DOIUrl":"https://doi.org/10.52041/srap.16506","url":null,"abstract":"Considering the dependence of Generation Y on IT tools, databases and visualization play a highly important role in tertiary education. In this paper, we will describe and analyze the applicability of new interactive visualization tools (e.g. population pyramid, maps) and datasets of the Hungarian Statistical Office in classes. The applicability of visualization tools will be demonstrated in classes with examples. For instance: 1. Will there still be a state pension for us? We will give a potential answer to this question with the help of an interactive population pyramid. 2. The Hungarian poverty rate is lower than the poverty rate of the EU-28. What does it mean? We will discuss how sensitive data is depending on the definitions of the parameters in question. The conclusions of this examination will constitute parts of lesson plans suitable to promote the importance of visualization and multivariate approaches in Hungary.","PeriodicalId":165958,"journal":{"name":"Promoting Understanding of Statistics about Society IASE Roundtable Conference","volume":"142 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2016-12-30","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"128733309","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}

{"title":"Explaining political surprises (aka making methodology fun): determinants of voting in Ukrainian presidential elections","authors":"Florin Fesnic","doi":"10.52041/srap.16204","DOIUrl":"https://doi.org/10.52041/srap.16204","url":null,"abstract":"The majority of social science majors dislike statistics and research methods. Things can, and should be, different; (social) statistics and research methods can be interesting and fun. To do just that, I currently work on an applied methodology book project. Here I present a modified version of a draft chapter for the book, in which I answer the question why, in Ukraine, there was a strong negative correlation between the regional shares of the vote for Leonid Kuchma in two consecutive presidential elections. The modelling of political competition as two-dimensional (one socioeconomic, one ethno-linguistic) reveals the dominance of the latter dimension in Ukrainian politics. In addition to statistical and methodological lessons, the paper offers substantive lessons, relevant for the important role (positive or negative) that institutional design, policy-making and elite behavior can play in an ethnically divided emerging democracy.","PeriodicalId":165958,"journal":{"name":"Promoting Understanding of Statistics about Society IASE Roundtable Conference","volume":"181 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2016-12-30","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"126172482","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}

{"title":"Deriving heuristics from political speeches for understanding statistics about society","authors":"J. Ridgway, Phoebe Arnold, W. Moy, Rosie Ridgway","doi":"10.52041/srap.16208","DOIUrl":"https://doi.org/10.52041/srap.16208","url":null,"abstract":"Many governments adopt the mantra of ‘evidence informed policy’ and use ‘evidence’ to justify political decisions. Active citizenship requires an understanding of appropriate and inappropriate uses of statistics about society. A number of groups are dedicated to checking the claims made by politicians, and produce commentaries based on careful analyses of data sources and interpretations. Here, we use the commentaries of one such group (Full Fact) as a source of insight into some misleading statements made by politicians. These lead directly to heuristics that can be employed when faced with evidence claims. Further, the examples provide a basis for a framework for conceptualizing ‘statistical literacy’ in a data rich world.","PeriodicalId":165958,"journal":{"name":"Promoting Understanding of Statistics about Society IASE Roundtable Conference","volume":"473 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2016-12-30","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"114116303","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}

{"title":"Understanding basic demographic trends: connecting table reading, task design, and context","authors":"I. Gal, Anna Trostianitser","doi":"10.52041/srap.16103","DOIUrl":"https://doi.org/10.52041/srap.16103","url":null,"abstract":"The paper aims to inform the conceptualization of teaching/learning goals and instructional design related to understanding multivariate statistics that describe trends in society. The paper presents a conceptual analysis leading to identification of a gap in current analyses and instructional sequences focused on interpretation of information in tables [and graphs]. The paper advocates for the need to develop students' ability to reflect about the factors that cause or are related to observed trends, and about their societal implications, and highlights the need to develop task design principles that can promote such understanding. We then present an empirical demonstration of a possible class sequence, and results from an exploratory class activity with 43 students whose responses were content-analysed. Based on these results and the prior analysis, we reflect on benefits in terms of increased motivation and relevance of statistics instruction, and call for the use of task design principles that directly connect data, statistics, and class activities to the actual societal context in which students have to operate as adults, in order to enhance students' statistical literacy and understanding of statistics about society.","PeriodicalId":165958,"journal":{"name":"Promoting Understanding of Statistics about Society IASE Roundtable Conference","volume":"13 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2016-12-30","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"127732844","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}

{"title":"Working with claims about society contexts based on statistics and probability - critical thinking as a key and as a consequence","authors":"Einav Aizikovitsh-Udi, S. Kuntze","doi":"10.52041/srap.16701","DOIUrl":"https://doi.org/10.52041/srap.16701","url":null,"abstract":"When learners work with statistics about society, both Statistical Thinking (ST) and Critical Thinking (CT) should be in the focus. For dealing with data about society in a reflected way, CT is a key for a better understanding, but also for using and acquiring ST strategies. Conversely, there are findings that CT can be fostered through learning opportunities focused in ST and based on statistics about society. Looking at these findings, it appears that Critical Thinking can be a key for interpretation of data about society as it may, for instance, open up the way to helpful questions and for evaluating data-based claims about society contexts. At the same time, improved Critical Thinking skills can be a consequence of working with statistics and probability related to society contexts. Indeed, also the theoretical frameworks of Critical Thinking (CT) and Statistical Thinking (ST) suggest an overlap – however, both on the theoretical level and on the empirical level, this overlap has hardly been subject to systematic research. There is hence a research need related to key learner variables for their work with statistics about society. Correspondingly, we refer to and discuss selected findings from theoretical analyses and from two empirical projects. The theoretical analyses start from two sides: On the one side, theoretical approaches to ST with a solid empirical foundation are explored (e.g. Watson & Callingham, 2003) and related to theoretical conceptualizations in the domain of on the one side (e.g. Lipman, 1991). However, as CT approaches are very diverse, the perspective needs to be focused. For such foci, two complementary studies con provide help. A first study (Aizikovitsh-Udi, 2011) examined how certain aspects of CT can be fostered through an intervention with emphasis on probability (and related to society contexts), and a second study (e.g. Aizikovitsh-Udi & Kuntze, 2014) explores which role the use of CT strategies can play in the solution of tasks that require ST.","PeriodicalId":165958,"journal":{"name":"Promoting Understanding of Statistics about Society IASE Roundtable Conference","volume":"212 12 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2016-12-30","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"132651981","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}

{"title":"Communicating evidence? On the interaction of politics, data and the public","authors":"P. Ullmann","doi":"10.52041/srap.16106","DOIUrl":"https://doi.org/10.52041/srap.16106","url":null,"abstract":"Using the example of a fairly recent case of (data-based) political decision-making in Germany, namely the so called ‘energy transition’, I shall analyse how data are used in the communication processes between politics and the public. Based on the well-known notion of statistical literacy as well as on the seminal work of Nowotny, Stehr and Weingart, I shall present a sociological model that will help to understand both the importance of data and the (tacit) assumptions about citizens and their statistical skills. Pointing out problems that arise when taking these assumptions for granted, I shall propose a refined perspective of how statistical literacy should be discussed and implemented in an educational context. As a result of my analysis, I shall suggest broadening the very construct of statistical literacy.","PeriodicalId":165958,"journal":{"name":"Promoting Understanding of Statistics about Society IASE Roundtable Conference","volume":"30 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2016-12-30","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"134462249","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}