Lessons in the Data Literacy Series can be used by university and school faculty and staff to teach students how to reliably identify, interpret, and communicate data. Each lesson reviews data interpretation, analysis, and/or presentation concepts in detail.
These standardized exercises introduce (or reinforce) key concepts in the social sciences by guiding students through a series of questions and related data analyses. Analyses are preset so students can focus on content rather than mechanics of data analysis.
The GHO data repository contains an extensive list of indicators, which can be selected by theme or through a multi-dimension query functionality. It is the World Health Organization's main health statistics repository.
DataBank is an analysis and visualisation tool that contains collections of time series data on a variety of topics. You can create your own queries; generate tables, charts, and maps; and easily save, embed, and share them.
Data-Planet Statistical Ready Reference is designed to allow users to quickly navigate the 35 billion points of data contained in the repository, representing 4.9 billion datasets covering thousands of geographic entities.
ICPSR offers more than 500,000 digital files containing social science research data. Disciplines represented include political science, sociology, demography, economics, history, gerontology, criminal justice, public health, foreign policy, terrorism, health and medical care, early education, education, racial and ethnic minorities, psychology, law, substance abuse and mental health, and more.
Wharton Research Data Services (WRDS) is a research platform and business intelligence tool that provides access to S&P Capital IQ, CRSP, NYSE, Thomson Reuters, Bureau van Dijk, Global Insight, OptionMetrics and other important business research databases, with data reaching across multiple disciplines including accounting, banking, economics, finance, ESG, and statistics.
Explore a vast collection of U.S. and international statistics in Data Planet. With this dynamic tool, you can scan and search the contents of billions of datasets, compare and contrast variables of interest, and create customized views in tables, maps, rankings, and charts. Views also include descriptive summaries of the datasets and data sources. Datasets cover a wide range of subjects – including business, finance, banking, economics, sociology, political science, demography, agriculture, education, international studies, criminal justice, housing and construction, labor and employment, energy resources and industries, and more. Sources include public, private/commercial, and nongovernmental organizations.
SimplyAnalytics (formerly SimplyMap) is a web-based mapping application to create professional quality, interactive thematic maps and reports using thousands of U.S. demographic, business, and marketing variables. Select, sort, and compare data across multiple geographic locations and create custom reports exportable to spreadsheets.
The ProQuest Statistical Abstract of the United States is the authoritative and comprehensive summary of statistics on the social, political, and economic conditions of the United States. The online version includes monthly updates to tables, deep searching at the line-item level, powerful facets for narrowing search results, image and spreadsheet versions of all current and historical tables, along with links to provider sites.
PolicyMap is a fully web-based online data and mapping application that gives you access to over 15,000 indicators related to demographics, housing, crime, mortgages, health, jobs and more. Data is available at all common geographies (address, block group, census tract, zip code, county, city, state, MSA) as well as unique geographies like school districts and political boundaries. Data comes from both public and proprietary sources.
Providing a simple and accessible introduction to data mining, Paul Attewell and David B. Monaghan discuss how data mining substantially differs from conventional statistical modeling familiar to most social scientists.
Through this book's unique model comparison approach, students and researchers are introduced to a set of fundamental principles for analyzing data. After seeing how these principles can be applied in simple designs, students are shown how these same principles also apply in more complicated designs.
Featuring a practical approach with numerous examples, this book focuses on helping the reader develop a conceptual, rather than technical, understanding of categorical methods, making it a much more accessible text than others on the market.
Introduces the subject's foundations at a level suitable for quantitatively oriented graduate social-science students and individual researchers. Includes real-world data sets and software programs in SAS and Stata.