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Statistical Analysis
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    Welcome to the Odum Institute’s Dataverse
    Network tutorial video on Statistical Analysis of
    Tabular Data.
    The Dataverse Network provides a
    comprehensive set of statistical analysis tools
    through a user interface to Zelig, a powerful, R-
    based statistical computing tool.
    First a user will need to identify a study's tabular
    data they would like to analyze.
    For this example, I will use a Harris Poll from
    the 1970s dealing with attitudes towards racial
    and religious minorities and towards women.
    After clicking on the study title, click the
    Documentation, Data, and Analysis tab,
    then locate the data file and click on the link to
    Access Subset/Analysis.
    So I am going to expand the view to show all the
    variables.
    If you click on the summary icon to the right of
    the variables, you can see the summary
    statistics for each variable,
    and for discrete variables it is displayed as a
    frequency table.
    From this page you can also click on any
    variables and download the subset of the data in
    your preferred format.
    You can also apply Descriptive Statistics to
    selected variables by clicking on the boxes
    and choosing the type of summaries you would
    like displayed and then hitting the Run Statistics
    button.
    From this screen you can view the summary
    statistics,
    or you can download your R workspace for
    replication purposes, or view citation information.
    The Network also provides the functionality for
    users to recode subsets of data.
    So I’ll click on Recode & Case-Subset, then you
    pick the variable you would like to recode, select
    that variable, and hit start.
    Then you can check values to drop them from
    the subset, enter new values, labels or ranges
    as needed.
    Or you can create more entries by clicking the
    Add Value/Range button. And when finished you
    would click Apply Recodes.
    You can also preform Advanced Statistical
    Analysis.
    First you would choose a statistical model from
    the drop-down list and select your variables for
    analysis if not already selected.
    For this example I will use a Cross-Tabulation
    Model.
    Then select the variables to be analyzed, adjust
    your output options as needed, and hit Run
    Model.
    So here you see a Cross-Tabulation of two
    different variables,
    and like with the descriptive statistics, a Zip file
    is provided for replication purposes as well as a
    complete citation for the data set and subset.
    So this tutorial showed how the Dataverse
    Network provides powerful statistical analysis
    tools allowing users to view descriptive statistics
    recode subsets, or run advanced statistical
    analysis models making it simple to analyze
    data stored in the Dataverse Network.
    Thanks for watching!