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MPAD. 504 Data Analysis/ Chaganti


 

 

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Welcome to Data Analysis

This course provides students with a basic introduction to the use of quantitative methods in policy research. It is designed as a course in applied statistics, covering common topics such as

types of variables and data 
probability theory 
hypothesis testing 
measures of central tendency and variance
tools for examining basic relationships between two variables: contingency tables, correlation and bivariate regression.

In an increasingly data-driven world, even those who are not using quantitative analysis on a daily basis need to have the skills and ability to understand, analyze and critique quantitative studies and presentations. This course serves as an introduction to the use of probability, statistics and data visualization in the policy arena. It also introduces students to the use of case- oriented comparative methods, as administrators of public agencies are often confronted with appraisals of programs that create data that do not meet the assumptions necessary for appropriate application of traditional statistical analyses. Its purpose is to offer an introductory and broad-based skillset to students; regardless of any background they may or may not have in mathematics or applied statistics.

Required Text, (Ebook)

Eller, Warren et al. (2018). Public Administration Research Methods: Tools for Evaluation and Evidence-Based Practice, 2nd Edition. New York: Routledge

Please Note: This ebook allows only one user to access it at a time, similarly to a print reserve. Consider collaborating with classmates to work out a plan for access to the book.