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Understanding Political Science Statistics - Observations and Expectations in Political Analysis (Hardcover)
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Understanding Political Science Statistics - Observations and Expectations in Political Analysis (Hardcover)
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In politics, you begin by asking theoretically interesting
questions. Sometimes statistics can help answer those questions.
When it comes to applied statistics, students shouldn't just learn
a vast array of formula-they need to learn the basic concepts of
statistics as solutions to particular problems. Peter Galderisi
demonstrates that statistics are a summary of how to answer the
problem: learn the math but only after learning the concepts and
methodological considerations that give it context. With this as a
starting point, Understanding Political Science Statistics asks
students to consider how to address a research problem conceptually
before being led to the appropriate formula. Throughout, Galderisi
looks at problems through a lens of "observations and
expectations," which can be applied to myriad statistical
techniques, both descriptive and inferential. This approach links
the answers researchers get from their individual data analysis to
the research designs and questions from which these analyses are
derived. By emphasizing the underlying logic of statistical
analysis for greater understanding and drawing on applications and
examples from political science (including law), the book
illustrates how students can apply statistical concepts and
techniques in their own research, in future coursework, and simply
as an informed consumer of numbers in public discourse. The
following features help students master the material: Legal and
Methodological sidebars highlight key concepts and provide applied
examples on law, politics, and methodology; End-of-chapter
exercises allow students to test their mastery of the basic
concepts and techniques along the way; A Sample Solutions Guide
provides worked-out answers for odd-numbered exercises, with all
answers available in the Instructor's Manual; Key Terms are
helpfully called out in both Marginal Definitions and a Glossary; A
Companion Website (www.routledge.com/cw/galderisi) with further
resources for both students and instructors; A diverse array of
data sets include subsets of the ANES and Eurobarometer surveys;
CCES; US Congressional district data; and a cross-national dataset
with political, economic, and demographic variables; and Companion
guides to SPSS and Stata walk students through the procedures for
analysis and provide exercises that go hand-in-hand with online
data sets.
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