The American National Election Studies serves the research needs of social scientists, teachers, students, policy makers and journalists. This website produces high quality data from our surveys on voting, public opinion, and political participation.
The Annenberg Public Policy Center (University of Pennsylvania) conducts surveys and gathers data for research purposes. The policy center makes data sets available to scholars for academic research.
The Bureau of Transportation Statistics (BTS) is the preeminent source of statistics on commercial aviation, multimodal freight, and transportation economics.
The home of the U.S. Government’s open data
Here you will find data, tools, and resources to conduct research, develop web and mobile applications, design data visualizations, and more.
research arm of the Legislature principally concerned with forecasting economic and social trends that affect policy making, revenues, and appropriations.
Since 1972, the General Social Survey (GSS) has provided politicians, policymakers, and scholars with a clear and unbiased perspective on what Americans think and feel about such issues as national spending priorities, crime and punishment, intergroup relations, and confidence in institutions.
Dataset Search is a search engine for datasets. Using a simple keyword search, users can discover datasets hosted in thousands of repositories across the Web
ICPSR maintains a data archive of more than 250,000 files of research in the social and behavioral sciences. It hosts 21 specialized collections of data in education, aging, criminal justice, substance abuse, terrorism, and other fields.
Since the passage of the Homeland Security Act of 2002, the Office of Immigration Statistics has responsibility to collect and disseminate to Congress and the public data
Download Datasets from the Pew Research Center, a nonpartisan fact tank that informs the public about the issues, attitudes and trends shaping the world. It conducts public opinion polling, demographic research, media content analysis and other empirical social science research.
The Statistical Abstract of the United States is the standard summary of statistics on the social, political, and economic organization of the United States.
The Statistical Yearbook provides in a single volume a comprehensive compilation of internationally available statistics on social and economic conditions and activities, at world, regional and national levels, for an appropriate historical period. It is prepared by the Statistics Division, Department of Economic and Social Affairs, of the United Nations Secretariat.
USAspending.gov is the official source for spending data for the U.S. Government. Its mission is to show the American public what the federal government spends every year and how it spends the money.
A research collaboration of more than two dozen analysts and scholars from across the political spectrum examining and delivering insights on the evolving views of American voters.
UN Economic Commission for Africa (ECA) provides statistics including African socio-economic indicators; African Statistical Yearbook; Integrated national and sub regional economic, social and environmental indicators; and, Compendium of intra-African and related foreign trade statistics.
Provides statistics and opinion polls from countries in the European Union. World Economic data, visualizations, and stats on EU and EU members. Numerous Eurostat databases. Data by topic or member state
The International Data Base (IDB) was developed by the U.S. Census Bureau to provide access to accurate and timely demographic measures for populations around the world. The database includes a comprehensive set of indicators, as produced by the U.S. Census Bureau since the 1960s.
The mission of the OECD is to promote policies that will improve the economic and social well-being of people around the world. They provide data on multiple topics, including agriculture, economies, society, and health.
An aggregate of data from thousands of researchers around the world on current global problems including poverty, disease, hunger, climate change, war, existential risks, and inequality.
The PRB's mission is to inform people around the world about population, health, and the environment. They also empower people to use this information to advance the well-being of current and future generations.
SIAP aims to collect, analyze and disseminate statistics as well as to produce timely and high quality statistics that can be utilized for economic and social development planning.
SIPRI is an independent international institute dedicated to research into conflict, armaments, arms control and disarmament. Provides data and analysis on these topics.
UNdata brings international statistical databases within easy reach of users through a single-entry point. Users can search and download a variety of statistical resources compiled by the United Nations (UN) statistical system and other international agencies.
UNstats compiles and disseminates global statistical information, develops standards and norms for statistical activities, and supports countries' efforts to strengthen their national statistical systems.
The UNESCO Institute for Statistics (UIS) is the official and trusted source of internationally-comparable data on education, science, culture and communication. Explore statistics by subject or country.
At the World Bank, the Development Data Group coordinates statistical and data work and maintains a number of macro, financial and sector databases.
General Books on Statistics and Data
Visualizing Graph Data by Corey L. LanumVisualizing Graph Data teaches you not only how to build graph data structures, but also how to create your own dynamic and interactive visualizations using a variety of tools. This book is loaded with fascinating examples and case studies to show you the real-world value of graph visualizations. Purchase of the print book includes a free eBook in PDF, Kindle, and ePub formats from Manning Publications. About the Technology Assume you are doing a great job collecting data about your customers and products. Are you able to turn your rich data into important insight? Complex relationships in large data sets can be difficult to recognize. Visualizing these connections as graphs makes it possible to see the patterns, so you can find meaning in an otherwise over-whelming sea of facts. About the Book Visualizing Graph Data teaches you how to understand graph data, build graph data structures, and create meaningful visualizations. This engaging book gently introduces graph data visualization through fascinating examples and compelling case studies. You'll discover simple, but effective, techniques to model your data, handle big data, and depict temporal and spatial data. By the end, you'll have a conceptual foundation as well as the practical skills to explore your own data with confidence. What's Inside Techniques for creating effective visualizations Examples using the Gephi and KeyLines visualization packages Real-world case studies About the Reader No prior experience with graph data is required. About the Author Corey Lanum has decades of experience building visualization and analysis applications for companies and government agencies around the globe. Table of Contents PART 1 - GRAPH VISUALIZATION BASICS Getting to know graph visualization Case studies An introduction to Gephi and KeyLines PART 2 VISUALIZE YOUR OWN DATA Data modeling How to build graph visualizations Creating interactive visualizations How to organize a chart Big data: using graphs when there's too much data Dynamic graphs: how to show data over time Graphs on maps: the where of graph visualization
Call Number: HA31 .L26 2017, MAIN (2ND FLOOR)
ISBN: 9781617293078
Publication Date: 2016-12-15
The politics of big data : big data, big brother? by Ann Rudinow Sætnan (Editor); Ingrid Schneider (Editor); Nicola Green (Editor)Big Data, gathered together and re-analysed, can be used to form endless variations of our persons - so-called ¿data doubles¿. Whilst never a precise portrayal of who we are, they unarguably contain glimpses of details about us that, when deployed into various routines (such as management, policing and advertising) can affect us in many ways. How are we to deal with Big Data? When is it beneficial to us? When is it harmful? How might we regulate it? Offering careful and critical analyses, this timely volume aims to broaden well-informed, unprejudiced discourse, focusing on: the tenets of Big Data, the politics of governance and regulation; and Big Data practices, performance and resistance. An interdisciplinary volume, The Politics of Big Data will appeal to undergraduate and postgraduate students, as well as postdoctoral and senior researchers interested in fields such as Technology, Politics and Surveillance.
Call Number: HA34 .P65 2018 MAIN (2ND FLOOR)
ISBN: 9781138293748
Publication Date: 2018-03-29
Doing Survey Research : a guide to quantitative methods by Peter M. NardiEach day we are faced with continuing claims made by media pundits, politicians, teachers, and friends, often quoting research. Consider also the numerous comments and posts on Internet blogs, Twitter, and Facebook that illustrate the confusion between opinion and factual data. How do we learn to interpret the research we hear about and read, to distinguish opinions from scientific facts, and to use this knowledge to conduct our own studies to answer the questions faced in everyday situations? Understanding the components that go into scientific research and learning how to do research, make decisions about which statistics to use, and analyze statistical findings are goals for everyone in today's research-oriented world. Questions about the reliability and validity of data from a study or public opinion poll come up routinely and need critical review. This book contributes to achieving these objectives. Doing Survey Research is intended for people who want to learn how to conduct quantitative studies for a project in an undergraduate course, a graduate-level thesis, or a survey that an employer may want completed. This brief, practical textbook prepares beginners to conduct their own survey research and write up the results, as well as read and interpret other people's research. It combines survey design with data analysis and interpretation. And it is for those who need to understand and critically interpret survey research found in scholarly journals, reports distributed in the workplace, and social scientific findings presented online in the media, on a blog, or in social media postings. Essential new updates to this edition include coverage of Big Data, Meta-Analysis, and A/B testing methodology¿methods used by scholars as well as businesses like Netflix and Amazon. New to this Fourth Edition Each chapter and its exercises feature updated data and illustrations from current academic and popular articles relevant to today¿s web-oriented students, including studies focused on topics related to social media. Update web site http://doingsurveyresearch.wordpress.com/ New Coverage of Big Data (used by popular web sites like Amazon and Netflix) and the ethical issues which emerge not only about privacy, but also how it relates to the methods discussed in this book about sampling, probability, and research design. New coverage of meta-data, and the increasingly popular method in many professional and other settings.
Call Number: Main 2nd Floor - HN29 .N25 2018
ISBN: 9781138043398
Publication Date: 2018-01-09
The Teaching and Learning of Statistics: international perspectives by Katie Makar (Editor); Dani Ben-Zvi (Editor)This book presents the breadth and diversity of empirical and practical work done on statistics education around the world. A wide range of methods are used to respond to the research questions that form it's base. Case studies of single students or teachers aimed at understanding reasoning processes, large-scale experimental studies attempting to generalize trends in the teaching and learning of statistics are both employed. Various epistemological stances are described and utilized. The teaching and learning of statistics is presented in multiple contexts in the book. These include designed settings for young children, students in formal schooling, tertiary level students, vocational schools, and teacher professional development. A diversity is evident also in the choices of what to teach (curriculum), when to teach (learning trajectory), how to teach (pedagogy), how to demonstrate evidence of learning (assessment) and what challenges teachers and students face when they solve statistical problems (reasoning and thinking).
Call Number: Main 2nd Floor - QA276.18 .T426 2016
ISBN: 9783319234694
Publication Date: 2016-01-06
The Seven Pillars of Statistical Wisdom by Stephen M. StiglerWhat gives statistics its unity as a science? Stephen Stigler sets forth the seven foundational ideas of statistics--a scientific discipline related to but distinct from mathematics and computer science. Even the most basic idea--aggregation, exemplified by averaging--is counterintuitive. It allows one to gain information by discarding information, namely, the individuality of the observations. Stigler's second pillar, information measurement, challenges the importance of "big data" by noting that observations are not all equally important: the amount of information in a data set is often proportional to only the square root of the number of observations, not the absolute number. The third idea is likelihood, the calibration of inferences with the use of probability. Intercomparison is the principle that statistical comparisons do not need to be made with respect to an external standard. The fifth pillar is regression, both a paradox (tall parents on average produce shorter children; tall children on average have shorter parents) and the basis of inference, including Bayesian inference and causal reasoning. The sixth concept captures the importance of experimental design--for example, by recognizing the gains to be had from a combinatorial approach with rigorous randomization. The seventh idea is the residual: the notion that a complicated phenomenon can be simplified by subtracting the effect of known causes, leaving a residual phenomenon that can be explained more easily. The Seven Pillars of Statistical Wisdom presents an original, unified account of statistical science that will fascinate the interested layperson and engage the professional statistician.
Call Number: Main 2nd Floor - QA276.15 .S754 2016
ISBN: 9780674088917
Publication Date: 2016-03-07
Seeing Through Statistics by Jessica M. UttsThe fourth edition of this popular book by Jessica Utts develops statistical literacy and critical thinking through real-world applications, with an emphasis on ideas, not calculations. This text focuses on the key concepts that educated citizens need to know about statistics. These ideas are introduced in interesting applied and real contexts, without using an abundance of technicalities and calculations that only serve to confuse students.
Call Number: Main 2nd Floor - QA276.12 .U88 2015
ISBN: 9781285050881
Publication Date: 2014-01-01
Straightforward Statistics: understanding the tools of research by Glenn Geher; Sara HallStraightforward Statistics: Understanding the Tools of Research is a clear and direct introduction to statistics for the social, behavioral, and life sciences. Based on the author's extensive experience teaching undergraduate statistics, this book provides a narrative presentation of the coreprinciples that provide the foundation for modern-day statistics. With step-by-step guidance on the nuts and bolts of computing these statistics, the book includes detailed tutorials how to use state-of-the-art software, SPSS, to compute the basic statistics employed in modern academic and appliedresearch. Across 13 succinct chapters, this text presents statistics using a conceptual approach along with information on the relevance of the different tools in different contexts and summaries of current research examples.Students should find this book easy useful and engaging in its presentation while instructors should find it detailed, comprehensive, accessible, and helpful in complementing a basic course in statistics.
Call Number: Main 2nd Floor - BF39 .G427 2014
ISBN: 9780199751761
Publication Date: 2014-05-01
Privacy, Big Data, and the Public Good: frameworks for engagement by Julia Lane (Editor); Victoria Stodden (Editor); Stefan Bender (Editor); Helen Nissenbaum (Editor)Massive amounts of data on human beings can now be analyzed. Pragmatic purposes abound, including selling goods and services, winning political campaigns, and identifying possible terrorists. Yet 'big data' can also be harnessed to serve the public good: scientists can use big data to do research that improves the lives of human beings, improves government services, and reduces taxpayer costs. In order to achieve this goal, researchers must have access to this data - raising important privacy questions. What are the ethical and legal requirements? What are the rules of engagement? What are the best ways to provide access while also protecting confidentiality? Are there reasonable mechanisms to compensate citizens for privacy loss? The goal of this book is to answer some of these questions. The book's authors paint an intellectual landscape that includes legal, economic, and statistical frameworks. The authors also identify new practical approaches that simultaneously maximize the utility of data access while minimizing information risk.
Call Number: Main 2nd Floor - JC596 .P747 2014
ISBN: 9781107067356
Publication Date: 2014-06-09
Survey Data Collection and Integration by Cristina Davino (Editor); Luigi Fabbris (Editor)Statistical surveys represent an important source of scientific knowledge and a valid decision support tool in many fields, from social studies to economics, market research, health studies, and others. Scientists have tackled most of the methodological issues concerning surveys and the scientific literature offers excellent proposals for planning and conducting surveys. Nevertheless, surveys often require the achievement of aims that either deviate from the methodology or do not have a specific solution at all. This book focuses on survey theory and applications, providing insight and innovative solutions to face problems in data collection and integration, complex sample design, opinion questionnaire design, and statistical estimation. Formal rigour and simple language, together with real-life examples, will make the book suitable to both practitioners involved in applied research and to academics interested in scientific developments in the survey field.