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Understanding Political Science Statistics Using Spss

Author: Peter Galderisi
Publisher: Routledge
ISBN: 1351538063
Size: 32.85 MB
Format: PDF, Kindle
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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.

Understanding Political Science Statistics

Author: Peter Galderisi
Publisher: Routledge
ISBN: 1136819509
Size: 35.56 MB
Format: PDF
View: 6904
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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.

Understanding Political Science Statistics Using Stata

Author: Ellen Seljan
Publisher: Routledge
ISBN: 1351538039
Size: 23.53 MB
Format: PDF, ePub, Mobi
View: 1959
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This manual walks students through the procedures for analysis in Stata 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 Stata. Seljan demonstrates how to run commands in Stata for different kinds of research questions and shows the results of the analyses, using lots of annotated screenshots from Stata version 12 (but compatible with all versions, including Stata Small). 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, and a comparative, crossnational country file. Versions with reduced case numbers and variables are also included that are compatible with Stata Small.This manual (and a parallel SPSS manual) are available as stand-alone products or packaged with the textbook Understanding Political Science Statistics.

Political Science Research In Practice

Author: Akan Malici
Publisher: Routledge
ISBN: 1351401890
Size: 77.43 MB
Format: PDF, Mobi
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Nothing rings truer to those teaching political science research methods: students hate taking this course. Tackle the challenge and turn the standard research methods teaching model on its head with Political Science Research in Practice. Akan Malici and Elizabeth S. Smith engage students first with pressing political questions and then demonstrate how a researcher has gone about answering them, walking them through real political science research that contributors have conducted. Through the exemplary use of a comparative case study, field research, interviews, textual and interpretive research, statistical research, survey research, public policy and program evaluation, content analysis, and field experiments, each chapter introduces students to a method of empirical inquiry through a specific topic that will spark their interest and curiosity. Each chapter shows the process of developing a research question, how and why a particular method was used, and the rewards and challenges discovered along the way. Students can better appreciate why we need a science of politics—why methods matter—with these first-hand, issue-based discussions. The second edition now includes: Two completely new chapters on field experiments and a chapter on the textual/interpretative method. New topics, ranging from the Arab Spring to political torture to politically sensitive research in China to social networking and voter turnout. Revised and updated "Exercises and Discussion Questions" sections. Revised and updated "Interested to Know More" and "Recommended Resources" sections.

Introduction To Statistics With Spss For Social Science

Author: Gareth Norris
Publisher: Routledge
ISBN: 1317861833
Size: 58.96 MB
Format: PDF, ePub, Docs
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This is a complete guide to statistics and SPSS for social science students. Statistics with SPSS for Social Science provides a step-by-step explanation of all the important statistical concepts, tests and procedures. It is also a guide to getting started with SPSS, and includes screenshots to illustrate explanations. With examples specific to social sciences, this text is essential for any student in this area.

Spss Step By Step

Author: Cole Davis
Publisher: Policy Press
ISBN: 1447306279
Size: 23.53 MB
Format: PDF, Docs
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A logically ordered guide to analysing everyday problems, SPSS Step by Step is distinctive in being both easy to grasp and readable.

Statistics For People Who Think They Hate Statistics

Author: Neil J. Salkind
Publisher: SAGE Publications
ISBN: 1483374106
Size: 75.51 MB
Format: PDF
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Statistics for People Who (Think They) Hate Statistics: Using Microsoft Excel 2016, Fourth Edition presents an often intimidating and difficult subject in a way that is clear, informative, and personable. Researchers and students will appreciate the book's unhurried pace and thorough, friendly presentation. Opening with an introduction to Excel 2016, including coverage of how to use functions and formulas, this edition also shows students how to install the Excel Data Analysis Tools option to access a host of useful analytical techniques. The book walks readers through various statistical procedures, beginning with simple descriptive statistics, correlations, and graphical representations of data, and ending with inferential techniques, analysis of variance, and a new introductory chapter on working with large datasets and data mining using Excel.

The Chicago Guide To Writing About Numbers Second Edition

Author: Jane E. Miller
Publisher: University of Chicago Press
ISBN: 022618580X
Size: 21.67 MB
Format: PDF, Kindle
View: 3458
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Earning praise from scientists, journalists, faculty, and students, The Chicago Guide to Writing about Numbers has helped thousands of writers communicate data clearly and effectively. Its publication offered a much-needed bridge between good quantitative analysis and clear expository writing, using straightforward principles and efficient prose. With this new edition, Jane Miller draws on a decade of additional experience and research, expanding her advice on reaching everyday audiences and further integrating non-print formats. Miller, an experienced teacher of research methods, statistics, and research writing, opens by introducing a set of basic principles for writing about numbers, then presents a toolkit of techniques that can be applied to prose, tables, charts, and presentations. Throughout the book, she emphasizes flexibility, showing writers that different approaches work for different kinds of data and different types of audiences. The second edition adds a chapter on writing about numbers for lay audiences, explaining how to avoid overwhelming readers with jargon and technical issues. Also new is an appendix comparing the contents and formats of speeches, research posters, and papers, to teach writers how to create all three types of communication without starting each from scratch. An expanded companion website includes new multimedia resources such as slide shows and podcasts that illustrate the concepts and techniques, along with an updated study guide of problem sets and suggested course extensions. This continues to be the only book that brings together all the tasks that go into writing about numbers, integrating advice on finding data, calculating statistics, organizing ideas, designing tables and charts, and writing prose all in one volume. Field-tested with students and professionals alike, this holistic book is the go-to guide for everyone who writes or speaks about numbers.

Politics Of Intergovernmental Relations

Author: Elizabeth Fredericksen
Publisher:
ISBN: 9781942456049
Size: 77.57 MB
Format: PDF
View: 908
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This fully revised and updated edition enhances students' ability to apply broad constructs from political theory, constitutional law, and federalism with an overview about the models of federalism and the evolving political demands being placed on all levels of government in the United States.

Applied Statistics For The Social And Health Sciences

Author: Rachel A. Gordon
Publisher: Routledge
ISBN: 0415875366
Size: 17.16 MB
Format: PDF, ePub
View: 4191
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Applied Statistics for the Social and Health Sciences provides graduate students in the social and health sciences with the basic skills that they need to estimate, interpret, present, and publish statistical models using contemporary standards. The book targets the social and health science branches such as human development, public health, sociology, psychology, education, and social work in which students bring a wide range of mathematical skills and have a wide range of methodological affinities. For these students, a successful course in statistics will not only offer statistical content but will also help them develop an appreciation for how statistical techniques might answer some of the research questions of interest to them. This book is for use in a two-semester graduate course sequence covering basic univariate and bivariate statistics and regression models for nominal and ordinal outcomes, in addition to covering ordinary least squares regression. Key features of the book include: interweaving the teaching of statistical concepts with examples developed for the course from publicly-available social science data or drawn from the literature thorough integration of teaching statistical theory with teaching data processing and analysis teaching of both SAS and Stata "side-by-side" and use of chapter exercises in which students practice programming and interpretation on the same data set and course exercises in which students can choose their own research questions and data set. This book is for a two-semester course. For a one-semester course, see http://www.routledge.com/9780415991544/