Understanding Political Science Statistics using SPSS

A Manual with Exercises

Author: Peter Galderisi

Publisher: Routledge

ISBN: 1351538063

Category: Political Science

Page: 194

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This manual walks students through the procedures for analysis in SPSS and provides exercises that go hand-in-hand with online data sets. The manual complements the textbook Understanding Political Science Statistics: Observations and Expectations in Political Analysis, by Peter Galderisi, making it easy to use alongside the book in a course or as a stand-alone guide to using SPSS. Galderisi demonstrates how to use both syntax and GUI driven formats and shows sample results of the analyses. Filled with annotated screenshots from SPSS version 22 (but compatible with all versions, including the student version), the students will be guided through standard processes replete with examples and exercises to ready them for future work in political science research. The diverse group of data sets provided include subsamples of both the 2008 and 2012 American National Election Studies, a Eurobarometer survey, single year and longitudinal congressional district files, the 2012 Comparative Congressional Election Study data set, and a comparative, crossnational country file. Versions with reduced case numbers and variables are also included that are compatible with the student version.This manual (and a parallel Stata manual) are available as stand-alone products or packaged with the textbook Understanding Political Science Statistics.
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Understanding Political Science Statistics

Observations and Expectations in Political Analysis

Author: Peter Galderisi

Publisher: Routledge

ISBN: 1136819509

Category: Political Science

Page: 364

View: 6484

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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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Introducing Data Analysis for Social Scientists

Author: David Rose,Oriel Sullivan

Publisher: N.A

ISBN: 9780335196173

Category: Social Science

Page: 267

View: 2911

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The revised and updated edition of this highly successful text is designed for social science students taking their first course in quantitative data analysis. It requires no previous knowledge of statistics or computer use, nor any mathematics beyond an elementary level. The principles of analysing data in simple stages are clearly explained, and it provides an introduction to using computers and SPSS, the most widely used statistical package in the social sciences. This second edition includes both WINDOWS and PC+ versions of SPSS, as well as a glossary of statistical terms. The emphasis throughout is on understanding the underlying principles and on illustrating these with simple but realistic examples that stress both the role of theory in social research and the logic of data analysis. The first four parts of the text give students a firm grasp of the logic and language of social research; preparation of data and basic ideas in computing; descriptive statistics for both single variables and bivariate analyses; and inferential statistics. The final part introduces some of the most useful multivariate techniques and discusses the problems and potential of longitudinal studies. Exercises and examples from the British Class Survey and the British Household Panel Study complete the text, and key subsets of the illustrative data is provided on a free floppy disk inside the volume. The complete package is an invaluable beginner's guide for students in sociology, geography, political science, social policy, social psychology, management and related disciplines.
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Publication of the Association of College and Research Libraries, a Division of the American Library Association

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Publisher: N.A

ISBN: N.A

Category: Academic libraries

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Buyer's guide

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Publisher: N.A

ISBN: N.A

Category: Booksellers' catalogs

Page: N.A

View: 5827

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