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| understanding political science statistics using stata: Understanding Political Science Statistics using Stata Ellen Seljan, 2017-07-05 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. |
| understanding political science statistics using stata: Understanding Political Science Statistics + Understanding PS Stats Using Stata Peter Galderisi, 2015 |
| understanding political science statistics using stata: Understanding Political Science Statistics Peter Galderisi, 2015-03-12 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: Understanding Political Science Statistics Peter Galderisi, 2015-03-12 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: Quantitative Social Science Kosuke Imai, Lori D. Bougher, 2021-03-16 The Stata edition of the groundbreaking textbook on data analysis and statistics for the social sciences and allied fields Quantitative analysis is an increasingly essential skill for social science research, yet students in the social sciences and related areas typically receive little training in it—or if they do, they usually end up in statistics classes that offer few insights into their field. This textbook is a practical introduction to data analysis and statistics written especially for undergraduates and beginning graduate students in the social sciences and allied fields, such as business, economics, education, political science, psychology, sociology, public policy, and data science. Quantitative Social Science engages directly with empirical analysis, showing students how to analyze data using the Stata statistical software and interpret the results—it emphasizes hands-on learning, not paper-and-pencil statistics. More than fifty data sets taken directly from leading quantitative social science research illustrate how data analysis can be used to answer important questions about society and human behavior. Proven in classrooms around the world, this one-of-a-kind textbook features numerous additional data analysis exercises, and also comes with supplementary teaching materials for instructors. Written especially for students in the social sciences and allied fields, including business, economics, education, psychology, political science, sociology, public policy, and data science Provides hands-on instruction using Stata, not paper-and-pencil statistics Includes more than fifty data sets from actual research for students to test their skills on Covers data analysis concepts such as causality, measurement, and prediction, as well as probability and statistical tools Features a wealth of supplementary exercises, including additional data analysis exercises and interactive programming exercises Offers a solid foundation for further study Comes with additional course materials online, including notes, sample code, exercises and problem sets with solutions, and lecture slides |
| understanding political science statistics using stata: The Fundamentals of Political Science Research Paul M. Kellstedt, Guy D. Whitten, 2009 This textbook introduces the scientific study of politics, supplying students with the basic tools to be critical consumers and producers of scholarly research. |
| understanding political science statistics using stata: Statistics for Social Understanding Nancy E. Whittier, Tina Wildhagen, Howard J. Gold, 2024-08-06 An engaging, problem-based approach that tackles real-world issues |
| understanding political science statistics using stata: Using Stata for Quantitative Analysis Kyle C. Longest, 2014-07-02 Using Stata for Quantitative Analysis, Second Edition offers a brief, but thorough introduction to analyzing data with Stata software. It can be used as a reference for any statistics or methods course across the social, behavioral, and health sciences since these fields share a relatively similar approach to quantitative analysis. In this book, author Kyle Longest teaches the language of Stata from an intuitive perspective, furthering students’ overall retention and allowing a student with no experience in statistical software to work with data in a very short amount of time. The self-teaching style of this book enables novice Stata users to complete a basic quantitative research project from start to finish. The Second Edition covers the use of Stata 13 and can be used on its own or as a supplement to a research methods or statistics textbook. |
| understanding political science statistics using stata: Understanding Political Science Statistics using SPSS Peter Galderisi, 2017-07-05 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 using stata: Statistics for Politics and International Relations Using IBM SPSS Statistics Helen M. Williams, 2020-04-20 Guiding you from first principles to advanced techniques, this book uses IBM SPSS Statistics examples specific to your Politics and International Relations studies to equip you with the tools to understand key concepts in quantitative research, and use them to produce and interpret data. The book takes you through the entire research process, from choosing a research question through to writing up your findings. Key features include: Software-specific sections in each chapter to show you how to use SPSS, while mathematical equations are kept to a minimum Packed with real life examples Extensive learning features including: chapter objectives, boxed summaries, illustrations, exercises and end-of-chapter questions, suggestions of further reading and a glossary Accompanied by a collection of online resources including datasets, exercises, multiple choice questions, podcasts, videos and further reading and weblinks. This is an invaluable research companion for students of Politics and International Relations using IBM SPSS Statistics. |
| understanding political science statistics using stata: Practical Statistics David Kremelberg, 2010-03-18 Making statistics—and statistical software—accessible and rewarding This book provides readers with step-by-step guidance on running a wide variety of statistical analyses in IBM® SPSS® Statistics, Stata, and other programs. Author David Kremelberg begins his user-friendly text by covering charts and graphs through regression, time-series analysis, and factor analysis. He provides a background of the method, then explains how to run these tests in IBM SPSS and Stata. He then progresses to more advanced kinds of statistics such as HLM and SEM, where he describes the tests and explains how to run these tests in their appropriate software including HLM and AMOS. This is an invaluable guide for upper-level undergraduate and graduate students across the social and behavioral sciences who need assistance in understanding the various statistical packages. |
| understanding political science statistics using stata: Political Analysis Using R James E. Monogan III, 2015-12-14 This book provides a narrative of how R can be useful in the analysis of public administration, public policy, and political science data specifically, in addition to the social sciences more broadly. It can serve as a textbook and reference manual for students and independent researchers who wish to use R for the first time or broaden their skill set with the program. While the book uses data drawn from political science, public administration, and policy analyses, it is written so that students and researchers in other fields should find it accessible and useful as well. By the end of the first seven chapters, an entry-level user should be well acquainted with how to use R as a traditional econometric software program. The remaining four chapters will begin to introduce the user to advanced techniques that R offers but many other programs do not make available such as how to use contributed libraries or write programs in R. The book details how to perform nearly every task routinely associated with statistical modeling: descriptive statistics, basic inferences, estimating common models, and conducting regression diagnostics. For the intermediate or advanced reader, the book aims to open up the wide array of sophisticated methods options that R makes freely available. It illustrates how user-created libraries can be installed and used in real data analysis, focusing on a handful of libraries that have been particularly prominent in political science. The last two chapters illustrate how the user can conduct linear algebra in R and create simple programs. A key point in these chapters will be that such actions are substantially easier in R than in many other programs, so advanced techniques are more accessible in R, which will appeal to scholars and policy researchers who already conduct extensive data analysis. Additionally, the book should draw the attention of students and teachers of quantitative methods in the political disciplines. |
| understanding political science statistics using stata: Quantitative Methods for the Social Sciences Daniel Stockemer, 2018-11-19 This textbook offers an essential introduction to survey research and quantitative methods. Building on the premise that statistical methods need to be learned in a practical fashion, the book guides students through the various steps of the survey research process and helps to apply those steps toward a real example. In detail, the textbook introduces students to the four pillars of survey research and quantitative analysis: (1) the importance of survey research, (2) preparing a survey, (3) conducting a survey and (4) analyzing a survey. Students are shown how to create their own questionnaire based on some theoretically derived hypotheses to achieve empirical findings for a solid dataset. Lastly, they use said data to test their hypotheses in a bivariate and multivariate realm. The book explains the theory, rationale and mathematical foundations of these tests. In addition, it provides clear instructions on how to conduct the tests in SPSS and Stata. Given the breadth of its coverage, the textbook is suitable for introductory statistics, survey research or quantitative methods classes in the social sciences. |
| understanding political science statistics using stata: Market Research Erik Mooi, Marko Sarstedt, Irma Mooi-Reci, 2018 This book is an easily accessible and comprehensive guide which helps make sound statistical decisions, perform analyses, and interpret the results quickly using Stata. It includes advanced coverage of ANOVA, factor, and cluster analyses in Stata, as well as essential regression and descriptive statistics. It is aimed at those wishing to know more about the process, data management, and most commonly used methods in market research using Stata. The book offers readers an overview of the entire market research process from asking market research questions to collecting and analysing data by means of quantitative methods. It is engaging, hands-on, and includes many practical examples, tips, and suggestions that help readers apply and interpret quantitative methods, such as regression, factor, and cluster analysis. These methods help researchers provide companies with useful insights. |
| understanding political science statistics using stata: Statistics Using Stata Sharon Lawner Weinberg, Sarah Knapp Abramowitz, 2020-02-27 This textbook integrates the teaching and learning of statistical concepts with the acquisition of the Stata (version 16) software package. |
| understanding political science statistics using stata: Learning Statistics Using R Randall E. Schumacker, 2014-02-03 Providing easy-to-use R script programs that teach descriptive statistics, graphing, and other statistical methods, Learning Statistics Using R shows readers how to run and utilize R, a free integrated statistical suite that has an extensive library of functions. Randall E. Schumacker’s comprehensive book describes in detail the processing of variables in statistical procedures. Covering a wide range of topics, from probability and sampling distribution to statistical theorems and chi-square, this introductory book helps readers learn not only how to use formulae to calculate statistics, but also how specific statistics fit into the overall research process. Learning Statistics Using R covers data input from vectors, arrays, matrices and data frames, as well as the input of data sets from SPSS, SAS, STATA and other software packages. Schumacker’s text provides the freedom to effectively calculate, manipulate, and graphically display data, using R, on different computer operating systems without the expense of commercial software. Learning Statistics Using R places statistics within the framework of conducting research, where statistical research hypotheses can be directly addressed. Each chapter includes discussion and explanations, tables and graphs, and R functions and outputs to enrich readers′ understanding of statistics through statistical computing and modeling. |
| understanding political science statistics using stata: Time Series Analysis for the Social Sciences Janet M. Box-Steffensmeier, John R. Freeman, Matthew P. Hitt, Jon C. W. Pevehouse, 2014-12-22 Time series, or longitudinal, data are ubiquitous in the social sciences. Unfortunately, analysts often treat the time series properties of their data as a nuisance rather than a substantively meaningful dynamic process to be modeled and interpreted. Time Series Analysis for the Social Sciences provides accessible, up-to-date instruction and examples of the core methods in time series econometrics. Janet M. Box-Steffensmeier, John R. Freeman, Jon C. Pevehouse and Matthew P. Hitt cover a wide range of topics including ARIMA models, time series regression, unit-root diagnosis, vector autoregressive models, error-correction models, intervention models, fractional integration, ARCH models, structural breaks, and forecasting. This book is aimed at researchers and graduate students who have taken at least one course in multivariate regression. Examples are drawn from several areas of social science, including political behavior, elections, international conflict, criminology, and comparative political economy. |
| understanding political science statistics using stata: Interpreting Quantitative Data with SPSS Rachad Antonius, 2003-01-22 This is a textbook for introductory courses in quantitative research methods across the social sciences. It offers a detailed explanation of introductory statistical techniques and presents an overview of the contexts in which they should be applied. |
| understanding political science statistics using stata: Doing Research in Political Science Paul Pennings, Hans Keman, Jan Kleinnijenhuis, 2005-11-11 This is an immensely helpful book for students starting their own research... an excellent introduction to the comparative method giving an authoritative overview over the research process - Klaus Armingeon, University of Bern Doing Research in Political Science is the book for mastering the comparative method in all the social sciences - Jan-Erik Lane, University of Geneva This book has established itself as a concise and well-readable text on comparative methods and statistics in political science I...strongly recommend it. - Dirk Berg-Schlosser, Philipps-University Marburg This thoroughly revised edition of the popular textbook offers an accessible but comprehensive introduction to comparative research methods and statistics for students of political science. Clearly organized around three parts, the text introduces the main theories and methodologies used in the discipline. Part 1 frames the comparative approach within the methodological framework of the political and social sciences. Part 2 introduces basic descriptive and inferential statistical methods as well as more advanced multivariate methods used in quantitative political analysis. Part 3 applies the methods and techniques of Parts 1 & 2 to research questions drawn from contemporary themes and issues in political science. Incorporating practice exercises, ideas for further reading and summary questions throughout, Doing Research in Political Science provides an invaluable step-by-step guide for students and researchers in political science, comparative politics and empirical political analysis. |
| understanding political science statistics using stata: Political Science Research in Practice Akan Malici, Elizabeth Smith, 2018-09-03 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. |
| understanding political science statistics using stata: An R Companion to Political Analysis Philip H. Pollock III, Barry C. Edwards, 2017-04-12 Teach your students to conduct political research using R, the open source programming language and software environment for statistical computing and graphics. An R Companion to Political Analysis offers the same easy-to-use and effective style as the best-selling SPSS and Stata Companions. The all-new Second Edition includes new and revised exercises and datasets showing students how to analyze research-quality data to learn descriptive statistics, data transformations, bivariate analysis (cross-tabulations and mean comparisons), controlled comparisons, statistical inference, linear correlation and regression, dummy variables and interaction effects, and logistic regression. The clear explanation and instruction is accompanied by annotated and labeled screen shots and end-of-chapter exercises to help students apply what they have learned. Students will love this book, as will their teachers. – Courtney Brown, Emory University |
| understanding political science statistics using stata: Teaching Research Methods in Political Science Jeffrey L. Bernstein, 2021-06-25 Teaching Research Methods in Political Science brings together experienced instructors to offer a range of perspectives on how to teach courses in political science. It focuses on numerous topics, including identifying good research questions, measuring key concepts, writing literature reviews and developing information literacy skills. |
| understanding political science statistics using stata: Data Analysis for Social Science Elena Llaudet, Kosuke Imai, 2023 Data analysis has become a necessary skill across the social sciences, and recent advancements in computing power have made knowledge of programming an essential component. Yet most data science books are intimidating and overwhelming to a non-specialist audience, including most undergraduates. This book will be a shorter, more focused and accessible version of Kosuke Imai's Quantitative Social Science book, which was published by Princeton in 2018 and has been adopted widely in graduate level courses of the same title. This book uses the same innovative approach as Quantitative Social Science , using real data and 'R' to answer a wide range of social science questions. It assumes no prior knowledge of statistics or coding. It starts with straightforward, simple data analysis and culminates with multivariate linear regression models, focusing more on the intuition of how the math works rather than the math itself. The book makes extensive use of data visualizations, diagrams, pictures, cartoons, etc., to help students understand and recall complex concepts, provides an easy to follow, step-by-step template of how to conduct data analysis from beginning to end, and will be accompanied by supplemental materials in the appendix and online for both students and instructors-- |
| understanding political science statistics using stata: The Workflow of Data Analysis Using Stata J. Scott Long, 2008-12-10 The Workflow of Data Analysis Using Stata, by J. Scott Long, is an essential productivity tool for data analysts. Long presents lessons gained from his experience and demonstrates how to design and implement efficient workflows for both one-person projects and team projects. After introducing workflows and explaining how a better workflow can make it easier to work with data, Long describes planning, organizing, and documenting your work. He then introduces how to write and debug Stata do-files and how to use local and global macros. After a discussion of conventions that greatly simplify data analysis the author covers cleaning, analyzing, and protecting data. |
| understanding political science statistics using stata: Data Analysis Using Stata Ulrich Kohler (Dr. phil.), Frauke Kreuter, 2005-06-15 This book provides a comprehensive introduction to Stata with an emphasis on data management, linear regression, logistic modeling, and using programs to automate repetitive tasks. Using data from a longitudinal study of private households in Germany, the book presents many examples from the social sciences to bring beginners up to speed on the use of Stata. -- BACK COVER. |
| understanding political science statistics using stata: Understanding Political Science Statistics Using SPSS Peter Galderisi, 2017 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.--Provided by publisher. |
| understanding political science statistics using stata: Empirical Research and Writing Leanne C. Powner, 2014-11-04 Students can easily misstep when they first begin to do research. Leanne C. Powner’s new title Empirical Research and Writing: A Student′s Practical Guide provides valuable advice and guidance on conducting and writing about empirical research. Chapter by chapter, students are guided through the key steps in the research process. Written in a lively and engaging manner and with a dose of humor, this practical text shows students exactly how to choose a research topic, conduct a literature review, make research design decisions, collect and analyze data, and then write up and present the results. The book′s approachable style and just-in-time information delivery make it a text students will want to read, and its wide-ranging and surprisingly sophisticated coverage will make it an important resource for their later coursework. |
| understanding political science statistics using stata: Regression Analysis for the Social Sciences Rachel A. Gordon, 2015 This book provides graduate students in the social sciences with the basic skills that they need in order to estimate, interpret, present, and publish basic regression models using contemporary standards. 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 using Stata; - 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-- |
| understanding political science statistics using stata: Election Law and Democratic Theory Professor David Schultz, 2014-02-28 While numerous books and articles examine various aspects either of democratic theory or of specific topics in election law, there is no comprehensive book that provides a detailed and scholarly discussion of the political and democratic theory underpinnings of election law. Election Law and Democratic Theory fills this important gap, as author David Schultz offers a scholarly analysis of the political principles and democratic values underlying election law and the regulation of political campaigns and participants in the United States. The book provides the first full-length examination of the political theories that form the basis for many of the current debates in election law that structure both Supreme Court and scholarly considerations of topics ranging from campaign finance reform, voting rights, reapportionment, and ballot access to the rights of political parties, the media, and other players in the system. It challenges much of the current debate in election law and argues for more discussion and development of a democratic political theory to support and guide election law jurisprudence. |
| understanding political science statistics using stata: Event History Analysis with Stata Hans-Peter Blossfeld, Götz Rohwer, 2019 Nowadays, event history analysis can draw on a well-established set of statistical tools for the description and causal analysis of event history data. The second edition of Event History Analysis with Stata provides an updated introduction to event history modeling, along with many instructive Stata examples. Using the latest Stata software, each of these practical examples develops a research question, refers to useful substantive background information, gives a short exposition of the underlying statistical concepts, describes the organization of the input data and the application of the statistical Stata procedures, and assists the reader in performing a substantive interpretation of the obtained results. Emphasising the strengths and limitations of event history model techniques in each field of application, this book demonstrates that event history models provide a useful approach with which to uncover causal relationships or to map out a system of causal relations. It demonstrates how long-term processes can be studied and how changing context information on the micro, meso, and macro levels can be integrated easily into a dynamic analysis of longitudinal data. Event History Analysis with Stata is an invaluable resource for both novice students and researchers who need an introductory textbook and experienced researchers (from sociology, economics, political science, pedagogy, psychology, or demography) who are looking for a practical handbook for their research. |
| understanding political science statistics using stata: A Practical Guide to Using Panel Data Simonetta Longhi, Alita Nandi, 2014-12-01 This timely, thoughtful book provides a clear introduction to using panel data in research. It describes the different types of panel datasets commonly used for empirical analysis, and how to use them for cross sectional, panel, and event history analysis. Longhi and Nandi then guide the reader through the data management and estimation process, including the interpretation of the results and the preparation of the final output tables. Using existing data sets and structured as hands-on exercises, each chapter engages with practical issues associated with using data in research. These include: Data cleaning Data preparation Computation of descriptive statistics Using sample weights Choosing and implementing the right estimator Interpreting results Preparing final output tables Graphical representation Written by experienced authors this exciting textbook provides the practical tools needed to use panel data in research. |
| understanding political science statistics using stata: An Introduction to Statistics and Data Analysis Using Stata® Lisa Daniels, Nicholas Minot, 2025-01-10 An Introduction to Statistics and Data Analysis Using Stata®: From Research Design to Final Report, Second Edition provides an integrated approach to research methods, statistics and data analysis, and interpretation of results in Stata. Drawing on their combined 25 years of experience teaching statistics and research methods, authors Lisa Daniels and Nicholas Minot frame data analysis within the research process—identifying gaps in the literature, examining the theory, developing research questions, designing a questionnaire or using secondary data, analyzing the data, and writing a research paper—so readers better understand the context of data analysis. Throughout, the text focuses on documenting and communicating results so students can produce a finished report or article by the end of their courses. The Second Edition has been thoroughly updated with all new articles and data—including coverage of ChatGPT, COVID-19 policies, and SAT scores—to demonstrate the relevance of data analysis for students. A new chapter on advanced methods in regression analysis allows instructors to better feature these important techniques. Stata code has been updated to the latest version, and new exercises throughout offer more chances for practice. |
| understanding political science statistics using stata: The Mata Book William Gould, William W. Gould, 2018 The Mata Book: A Book for Serious Programmers and Those Who Want to Be is the book that Stata programmers have been waiting for. Mata is a serious programming language for developing small- and large-scale projects and for adding features to Stata. What makes Mata serious is that it provides structures, classes, and pointers along with matrix capabilities. The book is serious in that it covers those advanced features, and teaches them. The reader is assumed to have programming experience, but only some programming experience. That experience could be with Stata's ado language, or with Python, Java, C++, Fortran, or other languages like them. As the book says, being serious is a matter of attitude, not current skill level or knowledge. The author of the book is William Gould, who is also the designer and original programmer of Mata, of Stata, and who also happens to be the president of StataCorp. |
| understanding political science statistics using stata: Understanding Politics Science Statistics and Understanding PS Statistics Using SPSS Bundle Peter F. Galderisi, 2015-04-29 By emphasizing the underlying logic of statistical analysis for greater understanding and drawing on applications and examples from political science, Understanding Political Science Statistics 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. Here, the book is paired with the corresponding manual that walks through the procedures for analysis in SPSS and provides exercises that go hand-in-hand with online data sets. |
| understanding political science statistics using stata: Causal Inference Scott Cunningham, 2021-01-26 An accessible, contemporary introduction to the methods for determining cause and effect in the Social Sciences “Causation versus correlation has been the basis of arguments—economic and otherwise—since the beginning of time. Causal Inference: The Mixtape uses legit real-world examples that I found genuinely thought-provoking. It’s rare that a book prompts readers to expand their outlook; this one did for me.”—Marvin Young (Young MC) Causal inference encompasses the tools that allow social scientists to determine what causes what. In a messy world, causal inference is what helps establish the causes and effects of the actions being studied—for example, the impact (or lack thereof) of increases in the minimum wage on employment, the effects of early childhood education on incarceration later in life, or the influence on economic growth of introducing malaria nets in developing regions. Scott Cunningham introduces students and practitioners to the methods necessary to arrive at meaningful answers to the questions of causation, using a range of modeling techniques and coding instructions for both the R and the Stata programming languages. |
| understanding political science statistics using stata: Event History Analysis With Stata Hans-Peter Blossfeld, Katrin Golsch, Gotz Rohwer, 2007-02-02 Event History Analysis With Stata provides an introduction to event history modeling techniques using Stata (version 9), a widely used statistical program that provides tools for data analysis. The book emphasizes the usefulness of event history models for causal analysis in the social sciences and the application of continuous-time models. T |
| understanding political science statistics using stata: An Introduction to Modern Econometrics Using Stata Christopher F. Baum, 2006-08-17 Integrating a contemporary approach to econometrics with the powerful computational tools offered by Stata, this introduction illustrates how to apply econometric theories used in modern empirical research using Stata. The author emphasizes the role of method-of-moments estimators, hypothesis testing, and specification analysis and provides practical examples that show how to apply the theories to real data sets. The book first builds familiarity with the basic skills needed to work with econometric data in Stata before delving into the core topics, which range from the multiple linear regression model to instrumental-variables estimation. |
| understanding political science statistics using stata: OpenIntro Statistics David Diez, Christopher Barr, Mine Çetinkaya-Rundel, 2015-07-02 The OpenIntro project was founded in 2009 to improve the quality and availability of education by producing exceptional books and teaching tools that are free to use and easy to modify. We feature real data whenever possible, and files for the entire textbook are freely available at openintro.org. Visit our website, openintro.org. We provide free videos, statistical software labs, lecture slides, course management tools, and many other helpful resources. |
| understanding political science statistics using stata: A Course in Item Response Theory and Modeling with Stata Tenko Raykov, George A. Marcoulides, 2018 Over the past several decades, item response theory (IRT) and item response modeling (IRM) have become increasingly popular in the behavioral, educational, social, business, marketing, clinical, and health sciences. In this book, Raykov and Marcoulides begin with a nontraditional approach to IRT and IRM that is based on their connections to classical test theory, (nonlinear) factor analysis, generalized linear modeling, and logistic regression. Application-oriented discussions follow next. These cover the one-, two-, and three-parameter logistic models, polytomous item response models (with nominal or ordinal items), item and test information functions, instrument construction and development, hybrid models, differential item functioning, and an introduction to multidimensional IRT and IRM. The pertinent analytic and modeling capabilities of Stata are thoroughly discussed, highlighted, and illustrated on empirical examples from behavioral and social research. |
| understanding political science statistics using stata: Interpreting and Visualizing Regression Models Using Stata MICHAEL N. MITCHELL, 2020-12-18 Interpreting and Visualizing Regression Models Using Stata, Second Edition provides clear and simple examples illustrating how to interpret and visualize a wide variety of regression models. Including over 200 figures, the book illustrates linear models with continuous predictors (modeled linearly, using polynomials, and piecewise), interactions of continuous predictors, categorical predictors, interactions of categorical predictors, and interactions of continuous and categorical predictors. The book also illustrates how to interpret and visualize results from multilevel models, models where time is a continuous predictor, models with time as a categorical predictor, nonlinear models (such as logistic or ordinal logistic regression), and models involving complex survey data. The examples illustrate the use of the margins, marginsplot, contrast, and pwcompare commands. This new edition reflects new and enhanced features added to Stata, most importantly the ability to label statistical output using value labels associated with factor variables. As a result, output regarding marital status is labeled using intuitive labels like Married and Unmarried instead of using numeric values such as 1 and 2. All the statistical output in this new edition capitalizes on this new feature, emphasizing the interpretation of results based on variables labeled using intuitive value labels. Additionally, this second edition illustrates other new features, such as using transparency in graphics to more clearly visualize overlapping confidence intervals and using small sample-size estimation with mixed models. If you ever find yourself wishing for simple and straightforward advice about how to interpret and visualize regression models using Stata, this book is for you. |
UNDERSTANDING Definition & Meaning - Merriam-Webster
The meaning of UNDERSTANDING is a mental grasp : comprehension. How to use understanding in a sentence.
UNDERSTANDING | English meaning - Cambridge Dictionary
UNDERSTANDING definition: 1. knowledge about a subject, situation, etc. or about how something works: 2. a particular way in…. Learn more.
Understanding - Wikipedia
Understanding is a cognitive process related to an abstract or physical object, such as a person, situation, or message whereby one is able to use concepts to model that object. …
UNDERSTANDING Definition & Meaning - Dictionary.com
characterized by understanding; prompted by, based on, or demonstrating comprehension, intelligence, discernment, empathy, or the like.
Understanding - Definition, Meaning & Synonyms - Vocabulary.com
The sum of your knowledge of a certain topic, is your understanding of it. This can change, or deepen as you learn more. But being an understanding person doesn't take a lot of studying …
understanding noun - Definition, pictures, pronunciation and …
Definition of understanding noun from the Oxford Advanced Learner's Dictionary. [uncountable, singular] understanding (of something) the knowledge that somebody has about a particular …
UNDERSTANDING definition and meaning | Collins English …
If you have an understanding of something, you know how it works or know what it means. If you are understanding towards someone, you are kind and forgiving. Her boss, who was very …
Understanding - definition of understanding by ... - The Free …
1. the mental process of a person who understands; comprehension; personal interpretation. 2. intellectual faculties; intelligence. 3. knowledge of or familiarity with a particular thing. 5. a …
What does Understanding mean? - Definitions.net
Understanding is a relation between the knower and an object of understanding. Understanding implies abilities and dispositions with respect to an object of knowledge sufficient to support …
514 Synonyms & Antonyms for UNDERSTAND | Thesaurus.com
He described a "mismatch" between the expectation and understanding of the shared owner and the landlord. "It is important that the fate of pesticides and other chemicals in the environment …
UNDERSTANDING Definition & Meaning - Merriam-Webster
The meaning of UNDERSTANDING is a mental grasp : comprehension. How to use understanding in a sentence.
UNDERSTANDING | English meaning - Cambridge Dictionary
UNDERSTANDING definition: 1. knowledge about a subject, situation, etc. or about how something works: 2. a particular way in…. Learn more.
Understanding - Wikipedia
Understanding is a cognitive process related to an abstract or physical object, such as a person, situation, or message whereby one is able to use concepts to model that object. Understanding …
UNDERSTANDING Definition & Meaning - Dictionary.com
characterized by understanding; prompted by, based on, or demonstrating comprehension, intelligence, discernment, empathy, or the like.
Understanding - Definition, Meaning & Synonyms
The sum of your knowledge of a certain topic, is your understanding of it. This can change, or deepen as you learn more. But being an understanding person doesn't take a lot of studying — …
understanding noun - Definition, pictures, pronunciation and …
Definition of understanding noun from the Oxford Advanced Learner's Dictionary. [uncountable, singular] understanding (of something) the knowledge that somebody has about a particular …
UNDERSTANDING definition and meaning | Collins English …
If you have an understanding of something, you know how it works or know what it means. If you are understanding towards someone, you are kind and forgiving. Her boss, who was very …
Understanding - definition of understanding by ... - The Free …
1. the mental process of a person who understands; comprehension; personal interpretation. 2. intellectual faculties; intelligence. 3. knowledge of or familiarity with a particular thing. 5. a …
What does Understanding mean? - Definitions.net
Understanding is a relation between the knower and an object of understanding. Understanding implies abilities and dispositions with respect to an object of knowledge sufficient to support …
514 Synonyms & Antonyms for UNDERSTAND | Thesaurus.com
He described a "mismatch" between the expectation and understanding of the shared owner and the landlord. "It is important that the fate of pesticides and other chemicals in the environment …
