Data Collection

  • The Research Methods Knowledge Base is a comprehensive web-based textbook that addresses all of the topics in a typical introductory undergraduate or graduate course in social research methods.  It covers the entire research process including: formulating research questions; sampling (probability and nonprobability); measurement (surveys, scaling, qualitative, unobtrusive); research design (experimental and quasi-experimental); data analysis; and, writing the research paper.  It also addresses the major theoretical and philosophical underpinnings of research including: the idea of validity in research; reliability of measures; and ethics.  The Knowledge Base was designed to be different from the many typical commercially-available research methods texts.  It uses an informal, conversational style to engage both the newcomer and the more experienced student of research.  It is a fully hyperlinked text that can be integrated easily into an existing course structure or used as a sourcebook for the experienced researcher who simply wants to browse.

     

    Navigate this source:  http://www.socialresearchmethods.net/kb/contents.php  

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  • Statistics forum for questions/conversations ranging from homework problems in statistics and probability and help using statistical software to statistical research inquiries and career advising.

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  • The Islands is a free, innovative, online virtual human population created by Dr Michael Bulmer from the University of Queensland. The Islands supports the teaching of statistics through data investigations by providing students with a realistic virtual world where they can propose statistical questions, design investigations and collect the necessary data for statistical analysis and interpretation. The wide range of data and tasks available on the Islands caters to many scientific areas and student interests. Must create an account to access this virtual world.

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  • Factual is the location data company the world’s most valuable brands and technology companies trust to understand and intelligently grow their businesses.

    Data is the currency for the new economy, and location data is driving smarter digital products, marketing and business decisions. Our world is now mobile, computing is everywhere, and the power of location data is changing everything — the way we get around, the way we interact with brands, the way we solve problems and the way we discover new services and access information. Location data is changing the way we experience the world.

    Factual provides product and engineering teams, marketers and data analysts access to the world’s most trusted, accurate and comprehensive data on places and people worldwide, transforming products, advertising and businesses with data that puts everything in context.

    Information about working for Factual can be found here:  https://www.factual.com/company/careers/#career 

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  • The Journal of Statistics Education provides a collection of Java applets and excel spreadsheets (and the articles associated with them) from as early as 1998 on this webpage.

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  • StatCrunch is a web-based package that does a complete range of statistical calculations. Formerly known as WebStat, it provides statistical calculation functions that would be done in most introductory statistics courses, including, but not limited to, creating histograms, pie charts, and boxplots; calculating summary statistics and confidence intervals; and performing hypothesis tests. It allows data to be entered in a spreadsheet style data window or opened from a file. StatCrunch does require a subscription for students and professionals ($13 for 6 months and $23 for 12 months).

    StatCrunchThis allows you to pull data sets contained on many web pages in various forms directly into StatCrunch for analysis.

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  • CODAP provides an easy-to-use web-based data analysis platform, geared toward middle and high school students, and aimed at teachers and curriculum developers. CODAP can be incorporated across the curriculum to help students summarize, visualize and interpret data, advancing their skills to use data as evidence to support a claim.

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  • "There are a lot of small data problems that occur in big data.  They don't disappear because you've got lots of stuff.  They get worse." is a quote by British biostatistician David J. Spiegelhalter (1953 - ).  The quote may be found in a March 28, 2014 article in the Financial Times written by Tim Hartford entitled "Big data: are we making a big mistake?"

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  • This is a chapter on data wrangling excerpted from a book on data science. The book is “Modern Data Science with R,” and the authors are Benjamin J. Baumer, Daniel T. Kaplan, and Nicholas J. Horton. It contains the R code needed to do basic things with data such as sorting, arranging, and summarizing data.

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  • This is a chapter on ethics excerpted from a book on data science. The book is “Modern Data Science with R,” and the authors are Benjamin J. Baumer, Daniel T. Kaplan, and Nicholas J. Horton. The chapter presents several ethical dilemmas, then a framework to use when evaluating ethical issues. Then it discusses the dilemmas again, now resolving them.

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