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The SAGE Handbook of Research Methods in Political Science and International Relations

  • Edited by: Luigi Curini & Robert Franzese
  • Publisher: SAGE Publications Ltd
  • Publication year: 2020
  • Online pub date: December 15, 2020
  • Discipline: Political Science and International Relations
  • Methods: Statistical modelling , Observational research , Theory
  • DOI: https:// doi. org/10.4135/9781526486387
  • Keywords: estimates , government , outcomes , political parties , social media , voting , war Show all Show less
  • Print ISBN: 9781526459930
  • Online ISBN: 9781529771077
  • Buy the book icon link

Subject index

The SAGE Handbook of Research Methods in Political Science and International Relations offers a comprehensive overview of research processes in social science - from the ideation and design of research projects, through the construction of theoretical arguments, to conceptualization, measurement, and data collection, and quantitative and qualitative empirical analysis - exposited through 65 major new contributions from leading international methodologists. Each chapter surveys, builds upon, and extends the modern state of the art in its area. Following through its six-part organization, undergraduate and graduate students, researchers and practicing academics will be guided through the design, methods, and analysis of issues in Political Science and International Relations: Part One: Formulating Good Research Questions and Designing Good Research Projects; Part Two: Methods of Theoretical Argumentation; Part Three: Conceptualization and Measurement; Part Four: Large-Scale Data Collection and Representation Methods; Part Five: Quantitative-Empirical Methods; Part Six: Qualitative and Mixed Methods.

Front Matter

  • List of Figures
  • List of Tables
  • Notes on the Editors and Contributors
  • An Introduction
  • Preface: So You're A Grad Student Now? Maybe You Should Do This
  • Part I | Formulating Good Research Questions and Designing Good Research Projects
  • Chapter 1 | Asking Interesting Questions
  • Chapter 2 | From Questions and Puzzles to Research Project
  • Chapter 3 | The Simple, the Trivial and the Insightful: Field Dispatches from a Formal Theorist
  • Chapter 4 | Evidence-Driven Computational Modeling
  • Chapter 5 | Taking Data Seriously in the Design of Data Science Projects
  • Chapter 6 | Designing Qualitative Research Projects: Notes on Theory Building, Case Selection and Field Research
  • Chapter 7 | Theory Building for Causal Inference: EITM Research Projects
  • Chapter 8 | EITM: Applications in Political Science and International Relations
  • Part II | Methods of Theoretical Argumentation
  • Chapter 9 | Political Psychology, Social Psychology and Behavioral Economics
  • Chapter 10 | Institutional Theory and Method
  • Chapter 11 | Applied Game Theory: An Overview and First Thoughts on the Use of Game Theoretic Tools
  • Chapter 12 | The Spatial Voting Model
  • Chapter 13 | New Directions in Veto Bargaining: Message Legislation, Virtue Signaling, and Electoral Accountability
  • Chapter 14 | Models of Coalition Politics: Recent Developments and New Directions
  • Chapter 15 | Models of Interstate Conflict
  • Chapter 16 | Models of the Judiciary
  • Chapter 17 | Wrestling with Complexity in Computational Social Science: Theory, Estimation and Representation
  • Chapter 18 | Learning and Diffusion Models
  • Part III | Conceptualization and Measurement
  • Chapter 19 | Conceptualization and Measurement: Basic Distinctions and Guidelines
  • Chapter 20 | Measurement Models
  • Chapter 21 | Measuring Attitudes – Multilevel Modeling with Post-Stratification (MrP)
  • Part IV | Large-Scale Data Collection and Representation Methods
  • Chapter 22 | Web Data Collection: Potentials and Challenges
  • Chapter 23 | How to Use Social Media Data for Political Science Research
  • Chapter 24 | Spatial Data
  • Chapter 25 | Visualizing Data in Political Science
  • Chapter 26 | Text as Data: An Overview
  • Chapter 27 | Scaling Political Positions from Text: Assumptions, Methods and Pitfalls
  • Chapter 28 | Classification and Clustering
  • Chapter 29 | Sentiment Analysis and Social Media
  • Chapter 30 | Big Relational Data: Network-Analytic Measurement
  • Part V | Quantitative-Empirical Methods
  • Chapter 31 | Econometric Modeling: From Measurement, Prediction, and Causal Inference to Causal-Response Estimation
  • Chapter 32 | A Principled Approach to Time Series Analysis
  • Chapter 33 | Time-Series-Cross-Section Analysis
  • Chapter 34 | Dynamic Systems of Equations
  • Chapter 35 | Duration Analysis
  • Chapter 36 | Multilevel Analysis
  • Chapter 37 | Selection Bias in Political Science and International Relations Applications
  • Chapter 38 | Dyadic Data Analysis
  • Chapter 39 | Model Specification and Spatial Interdependence
  • Chapter 40 | Instrumental Variables: From Structural Equation Models to Design-Based Causal Inference
  • Chapter 41 | Causality and Design-Based Inference
  • Chapter 42 | Statistical Matching with Time-Series Cross-Sectional Data: Magic, Malfeasance, or Something in between?
  • Chapter 43 | Differences-in-Differences: Neither Natural nor an Experiment
  • Chapter 44 | The Regression Discontinuity Design
  • Chapter 45 | Network Analysis: Theory and Testing
  • Chapter 46 | Network Modeling: Estimation, Inference, Comparison, and Selection
  • Chapter 47 | Bayesian Methods in Political Science
  • Chapter 48 | Bayesian Ideal Point Estimation
  • Chapter 49 | Bayesian Model Selection, Model Comparison, and Model Averaging
  • Chapter 50 | Bayesian Modeling and Inference: A Postmodern Perspective
  • Chapter 51 | Laboratory Experimental Methods
  • Chapter 52 | Field Experiments on the Frontier: Designing Better
  • Chapter 53 | Field Experiments, Theory, and External Validity
  • Chapter 54 | Survey Experiments and the Quest for Valid Interpretation
  • Chapter 55 | Deep Learning for Political Science
  • Chapter 56 | Machine Learning in Political Science: Supervised Learning Models
  • Part VI | Qualitative and ‘Mixed’ Methods
  • Chapter 57 | Set Theoretic Methods
  • Chapter 58 | Mixed-Methods Designs
  • Chapter 59 | Case Study Methods: Case Selection and Case Analysis
  • Chapter 60 | Comparative Analyses of Foreign Policy
  • Chapter 61 | When Talk Isn't Cheap: Opportunities and Challenges in Interview Research
  • Chapter 62 | Focus Groups: From Qualitative Data Generation to Analysis
  • Chapter 63 | Interpretive Approaches in Political Science and International Relations
  • Editors’ Afterword

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Social Sci LibreTexts

Political Science Research Methods

Student resources, welcome to the sage edge site for political science research methods , ninth edition.

“This is a solid text that walks students through the entire process of empirical, quantitative research methods in political science without being too math-heavy. Students will be able to read this book and come away with an increased understanding of how we use research methods in political science.”

—Amanda M. Rosen, Webster University   

Understand the “how” and the “why” behind research in political science.   

Political Science Research Methods  helps students to understand the logic behind research design by guiding them through a step-by-step process that explains when and why a researcher would pursue different kinds of methods. The highly anticipated  Ninth Edition  of this trusted resource provides more international examples, an increased focus on the role ethics play in the research process, increased attention to qualitative research methods, and expanded coverage on the role of the internet in research and analysis.

This site features an array of free resources you can access anytime, anywhere.

Acknowledgments

We gratefully acknowledge Janet Buttolph Johnson, H. T. Reynolds, and Jason D. Mycoff for writing an excellent text. Special thanks are also due to Alicia Fernandez and Jason Mycoff for developing the ancillaries on this site.

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Political Science Research Methods

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Quantitative Research Methods for Political Science, Public Policy and Public Administration (With Applications in R) - 3rd Edition

(8 reviews)

political science research methods

Hank Jenkins-Smith, University of Oklahoma

Joseph Ripberger, University of Oklahoma

Copyright Year: 2017

Publisher: University of Oklahoma Libraries

Language: English

Formats Available

Conditions of use.

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Learn more about reviews.

Reviewed by Saahir Shafi, Assistant Professor, California State University, Dominguez Hills on 12/13/22

This textbook provides a solid introduction to quantitative methods in social science research. It is ideal for introducing early stage researchers to R as a tool of quantitative research. From a broad overview of the scientific method and... read more

Comprehensiveness rating: 4 see less

This textbook provides a solid introduction to quantitative methods in social science research. It is ideal for introducing early stage researchers to R as a tool of quantitative research. From a broad overview of the scientific method and research design to OLS and logit regression, researchers can expect to become comfortable using R for data analysis. The authors could expand this volume to introduce more intermediate and advanced examples of quantitative methods such as ridge regression, panel regression, etc.

Content Accuracy rating: 5

The content is accurate, error-free, and quite straightforward - R scripts are broken down with clear discussions on what the script is evaluating and how to interpret results.

Relevance/Longevity rating: 5

The content is up-to-date. Although newer R packages continue to be made available, this text provides a foundational knowledge of basic statistical analysis which is unlikely to become obsolete anytime soon.

Clarity rating: 5

The text is highly accessible and may be successfully used by graduate students with little to no prior knowledge of R. A base understanding of research methods and quantitative analysis would be beneficial for students to get the most out of this text.

Consistency rating: 5

The text is consistent in terms of terminology and presentation of material.

Modularity rating: 5

The text is easily divisible into sections and concepts that progressively build upon each other and ideal for college level coursework. The book is split into 16 sections which would fit ideally within the scope of a 16 week course.

Organization/Structure/Flow rating: 5

Topics are presented in a logical progression moving from general research design to variables and model specification.

Interface rating: 5

There are no interface issues. Text is presented in an organized and accessible format.

Grammatical Errors rating: 5

The text contains no grammatical errors.

Cultural Relevance rating: 5

The text is not culturally insensitive or offensive in any way. In future editions, the authors could make efforts to include more diverse demographic groupings within the specified models to demonstrate the best way to evaluate such variables.

Reviewed by Lindsay Benstead, Associate Professor, Portland State University on 9/3/22

This book is highly comprehensive in the sense that it effectively marries a discussion of the theoretical foundations of research design and statistics with concrete examples and syntax for applying the concepts in R. Although there is neither an... read more

This book is highly comprehensive in the sense that it effectively marries a discussion of the theoretical foundations of research design and statistics with concrete examples and syntax for applying the concepts in R. Although there is neither an index nor a glossary, the table of contents is detailed and the book itself is effectively organized. Key words are presented in bold.

In my review of the textbook, I found no evidence of errors of bias. The book appears to be carefully edited with well-chosen examples pertinent to the field of study.

Given the subject matter (i.e., statistics and mathematics), it is unlikely that the material will date quickly. It is plausible but unlikely that the R syntax will no longer work in future iterations of the program. The textbook is on its third edition, suggesting that the authors are attentive to implementing improvements. Additionally, while there are screenshots to pages where students can download resources, the instructions are described in the text without the use of many links which can stop working and create frustration for readers.

This book contains very clear descriptions of key topics. Specific chapters could be assigned in courses, even if the application in R is not being used in the course, in which case some of the chapters would be less relevant.

This book is thoroughly edited and presents the material in a clear and well-organized way as one would find in any quality textbook on the subject.

The early chapters on research design and statistical theory could be assigned on their own, while the same would be true of the latter chapters for a course needing only instructions on how to use R.

The organization of the book is effective. I would like to see potential material on how to conduct a literature review and research ethics. Creation of examples using SPSS or Stata would also be welcome.

The formatting and interface is problem free.

This book is well edited and free from grammatical errors.

This book is free from insensitive or offensive material.

Reviewed by Caitlin Jewitt, Associate Professor, Virginia Tech on 12/14/21

This book is very comprehensive, beginning with the scientific method, progressing through research design, data visualization, inference, regression, and culminating with a chapter on generalized linear models (logit). The table of contents is... read more

Comprehensiveness rating: 3 see less

This book is very comprehensive, beginning with the scientific method, progressing through research design, data visualization, inference, regression, and culminating with a chapter on generalized linear models (logit). The table of contents is thorough, which is helpful to the reader, especially for a methods textbook, which often is not read cover-to-cover, but is referenced time and time again. There is also an appendix which introduces the reader to utilizing R to implement some of the statistical techniques provided in the text. I would like to see more time spent on interaction terms, as this is an important component of teaching quantitative methods to political scientists. While the book covers a breadth of topics, it provides only a surface coverage of many fundamental aspects of research methods (e.g. independent and dependent variables). In other words, the coverage is broad but not deep. Compared to other methods textbooks, there are not as many examples and there are not problems or questions that are often very helpful to students.

The content is accurate and unbiased and its presentation is straightforward. The authors could spend more time explaining how to apply these concepts in R and what version of R they are using, so that they may be more easily replicated.

Due to the content (methods-based), it will remain relevant and not be quickly outdated like many texts in political science. The text is also on its third edition, which demonstrates that the authors are continuing to update and improve the text.

Clarity rating: 4

There are some missed opportunities for the authors to define terms. For instance, they discuss a working hypothesis and null hypothesis in the first paragraph (and put these terms in bold), but do not explicitly define them in the text. In other places, they define terms (such as the definition of theory on page 5). Defining terms consistently throughout the text would be helpful and would improve the text's clarity.

Overall, the language is clear and straightforward. It is written in a manner that is easily accessible to undergraduates. Additional examples, however, would provide a useful supplement to aid in understanding.

The presentation of graphs could be enhanced by using variable labels as opposed to variable names.

The book is consistent in its approach and terminology.

There are many short sections within each chapter. This makes it ideal and easy to assign sections of a chapter to students, rather than requiring that they read the whole chapter. Other than understanding the basics of research methods, readers could easily move between sections and read portions out of order.

Organization/Structure/Flow rating: 4

The book is well organized, and progresses in an expected fashion. It begins with theories of social science and the scientific method, discusses fundamentals of research methods, describing and displaying data, discusses inference, then presents bivariate and multivariate OLS regression, and finally general linear models. This coincides with the order in which I would teach these topics.

Interface rating: 4

The book is produced in latex, and so the format (including figures) should be familiar to many political scientists who utilize this software. One revision the authors could make for future revisions would be to include hyperlinks in the table of contents to link the reader to the sections, chapters, and figures.

The book is well-written.

The book is not culturally insensitive or offensive. The examples are straightforward and brief. In a future revision, the authors could consider discussing the measurement of demographic variables (e.g. gender and sex, race) in greater depth. This would provide the reader with a stronger grasp of the advantages and disadvantages of utilizing different measurement strategies.

The book is a good, comprehensive overview of research methods. It would be difficult to use it as the sole textbook for undergraduates, due to the lack of examples. It would be a strong choice for a supplemental text or may be more appropriate for a graduate course.

Reviewed by Kimberly Wilson, Assistant Professor, East Tennessee State University on 3/22/20

The book's overall approach is great -- framing quantitative methods in terms of social scientific research more broadly. If I was teaching a quantitative methods course, I would most likely use this book, as it covers a nice range of essentials,... read more

The book's overall approach is great -- framing quantitative methods in terms of social scientific research more broadly. If I was teaching a quantitative methods course, I would most likely use this book, as it covers a nice range of essentials, particularly regression, while the open source nature ensures that students can always return to this book for reference. The book's use of R is similarly ideal. There are a few areas where an instructor may wish to expand upon the book's content, but this can easily be done through lecture or by assigning one or two additional and complementary readings. I do wish the book did a bit more in terms of clearly defining key terms and concepts. For instance, null hypothesis is first mentioned on page 4, but is not defined until page 10, and one only learns this by reading the full chapter. While the book description says that the book is designed for upper level undergraduates and graduate students, I assume that most students do not encounter terms like null hypothesis until their first methods course, which is usually where they are also learning quantitative methods (and where this textbook would be appropriate). In short, a glossary of the terms set in bold would be a strong addition to this book.

I saw no inaccuracies worthy of note. One always has preferences for the way in which methods are explained, but I saw nothing that would cause me to view this book as inaccurate.

The book tackles fundamentals in social scientific research and quantitative methods, and these will stay relevant.

As mentioned above, a glossary would be an easy addition that would greatly strengthen the text. Students at all levels can become intimidated by a methods book with unfamiliar terminology. A glossary can help alleviate some anxiety.

I saw no inconsistencies.

The book is organized in a consistent and clear manner. The headings and subheadings are easily understood and navigated. Chapters can easily be broken down into smaller sections for class readings.

The text builds in a clear and logical fashion, appropriate to the subject matter of this type of course.

I saw no interface issues.

There are only trivial grammatical errors, of the kind similar to all textbooks.

I did not see anything culturally insensitive or offensive in the text. I have to admit, I only understood the Monty Python reference after googling it, but that's life.

I have one relatively minor suggestion. In the first two chapters, where theory and social scientific methodology is discussed, it might help to use a consistent, versatile example to illustrate many concepts of those chapters. For instance, when the text discusses the goal of generalization, and uses the example of why a president's approval rating may have dropped, why not also use this example later to discuss independent and dependent variables? The discussion of dependent and independent variables on page 6 doesn't use an example, and I think students would greatly benefit by having an example to illustrate this content.

Reviewed by Christina Ladam, Graduate Part-time Instructor, CU Boulder on 6/5/19, updated 7/1/19

This text does a solid job in providing an introduction to statistical analysis with a focus on regression. Additionally, it provides a light introduction to statistical computing in R. This is mostly a tool for teaching regression, with a light... read more

This text does a solid job in providing an introduction to statistical analysis with a focus on regression. Additionally, it provides a light introduction to statistical computing in R. This is mostly a tool for teaching regression, with a light introduction to maximum likelihood estimation and generalized linear models through a chapter on logistic regression. The text briefly discusses some other methods, though, for instance, the discussion on experimental research designs is quite minimal. There is no discussion of survey experiments, which are increasingly used by social scientists as research design. Perhaps the text should be more clearly framed as one to teach regression. Additionally, there could be more instruction provided on R, specifically in teaching best practices for conducting analyses in R.

Content Accuracy rating: 4

I found the content in the text to be mostly accurate. The "Inference" section could use some editing in reference to p-values and how we interpret them. This is notoriously difficult, but could be improved.

Relevance/Longevity rating: 4

While I cannot foresee the content regarding regression becoming obsolete any time soon, there are some limitations to the relevance of the text. For instance, many more recent developments in methodology are not included. That is fine, as no one book can address that many streams of quantitative research. However, the framing of the book makes it seem like it would address more than regression. Additionally, the text would be improved by providing an updated, more thorough introduction to R, including a "best practices" approach to analysis in R.

The text is written quite clearly, and would be very appropriate for its target audience. Complex econometric concepts are written in an approachable way, with illustrative and complementary examples. I can see this text being especially useful for public policy and public administration students. While the text is framed as being designed for graduate students, it also seems appropriate for teaching undergraduate statistics courses.

I found the text to be consistent in its notation, which is important in statistics texts.

I really appreciated the way in which chapters were organized. Subjects were broken down to manageable chapter lengths, and the use of headings and subheadings was very clear. I can easily picture assigning readings throughout the semester without much modification to chapters.

I appreciate the authors' decision to structure the the text as similar to the way in which scientific research is conducted, beginning with the development of theory, moving to research design, and ending with statistical analyses and model evaluation. It is important to place an emphasis on following the scientific method when conducting statistical analyses. While the Appendix on R is helpful, it may make sense to incorporate some introduction to R in the main text. When R is introduced in the main text, it somewhat assumes a baseline familiarity with R.

The PDF version was mostly free of interface issues. It would be nice to incorporate hyperlinks within the text, so that one can simply click on a page number to navigate to a section rather than being limited to scrolling to find things. There also seems to be some inconsistency in formatting of tables and figures -- while most are center-aligned, some are left-aligned.

I did not encounter problematic grammatical errors.

I did not find the text to be culturally insensitive in any way.

political science research methods

Reviewed by Chris Garmon, Assistant Professor of Health Administration, University of Missouri - Kansas City on 5/24/19

The book's coverage of regression is outstanding. In particular, this is the most comprehensive coverage of regression diagnostics I've seen in a research methods text. There is also an entire chapter on logit regression, whereas most texts may... read more

The book's coverage of regression is outstanding. In particular, this is the most comprehensive coverage of regression diagnostics I've seen in a research methods text. There is also an entire chapter on logit regression, whereas most texts may devote a paragraph to it at best. Most texts jump right into inference after descriptive statistics, but the authors add a chapter on probability before discussing inference, which is a nice addition. However, there are certain topics that are not covered or barely covered. There is only a cursory discussion of sampling distributions and only one paragraph on the Central Limit Theorem. The authors fly through the discussion of t tests and there is no coverage of the assumptions needed for independent sample t tests. The only coverage of ANOVA is in the discussion of model fit. I think this is an excellent text for instructors who want to emphasize regressions, but those who like to build up to regressions with t tests and ANOVA might find this text lacking.

The book is accurate and thorough, particularly regarding regression and regression diagnostics. On a few occasions, the authors talked about "accepting the null hypothesis" if the p value is greater than 0.05, which is too strong, but apart from that, I saw no problems with the analysis or interpretations.

A nice feature of this text is that it is written in open source R markdown, so instructors can adapt and add content as desired, making updates easy to implement.

The book has the right tone and level of technical information for Ph.D. students in the social sciences, but I think parts of it are too advanced for the typical MPA student. There are entire chapters on calculus (chapter 8) and matrix algebra (chapter 11), which in my opinion are unnecessary for and would likely intimidate most MPA students.

The terminology and framework are consistent and easy to follow.

Modularity rating: 2

This book is best covered as a whole. I think it would be difficult to use only a subset of chapters as they all build off and reference each other. For instance, there are numerous instances where terminology (e.g., null hypothesis, Likert scale) are briefly introduced with the promise to cover them in more detail in future chapters.

The book starts off with an emphasis on theory as the basis and guiding force of quality social science research and the topics are presented with this theme in mind. I applaud the authors for making theory and causality a guiding principle for the organization of the text because too many research methods texts leave the students with the impression that quantitative research involves looking at the data, discerning patterns, and then developing a theory. I think the organization of the text is ideal with the emphasis of theory and testable hypotheses as the starting point of research.

The text has no interface or navigation problems.

Grammatical Errors rating: 4

There are a number of minor grammatical mistakes and typos, but nothing that would cause confusion for the reader.

Cultural Relevance rating: 3

The text uses only one example throughout (an analysis of a survey of perceptions of climate change risk by political ideology and sex). Students outside of political science might not find the example interesting or relevant for the research problems they are likely to face. The title of the text implies that it is designed for public administration students. The text should illustrate at least some of the concepts with research problems public administrators are likely to face.

Overall, I think this is an excellent text, but I think it is too advanced and technical, and has too much of a political science focus, for MPA students.

Reviewed by Sarah Fisher, Assistant Professor, Emory and Henry College on 3/20/19

In terms of content, this text contains nearly everything I generally cover in my introductory statistics class. This book is aimed at graduate students, but I am reviewing it for undergraduate social science majors. Overall, I think this will... read more

Comprehensiveness rating: 5 see less

In terms of content, this text contains nearly everything I generally cover in my introductory statistics class. This book is aimed at graduate students, but I am reviewing it for undergraduate social science majors. Overall, I think this will be a good text. It does seem that the authors assume some level of knowledge of R before beginning the book. There is additional information available online and in the appendix, but I think more of an introduction to R placed at the beginning of the book would have been useful, given how prominently R features in the text. I share the author's frustration with teaching this course-- the cost of these textbooks is high and the relationship between statistics and actual research is sometimes spotty. I think this text does a good job of really connecting statistical techniques to social science research.

I saw no glaring inaccuracies in the text.

One great thing about statistics books is that the formula for standard deviation is unlikely to change any time soon. I see this text as having a long self life. The only thing that might change would be the R code, but the authors have noted that there is more information available about the R online.

I found the writing in this text to be very clear. One nice addition would be titles for all of the R code that corresponded with a quick reference list for the code included. Then, if a student was looking for the R code to recode a variable (page 80), for instance, they could quickly find it. Given the online format, one can search for this information in the text, but I think students who print the text might find it useful.

The book is generally consistent in terms of format.

This is one of the text's strong points. They cover a lot of information in an efficient manner, and they also include some useful asides. For instance, in section 5.3.3, when discussing statistical inference, they have a header entitled "Some Miscellaneous Notes about Hypothesis Testing." I find this sort of discussion very useful. This section included information on why .05 is a standard, Type I and Type II errors, etc. While these are clearly important, they are secondary compared to general ideas about inference. In this sense, I think the layout of the text is very reader friendly. The bolded terms are also crucial. I also appreciate the "Summary" sections at the end of chapters.

I think the organization is very good. In an undergraduate course, I'm not sure I will go in as much depth as is included in some of the later chapters (ex: having students do quartile plots for residuals), but I still find it useful. Moreover, an instructor could easily pick and choose which sections they wanted students to read given the section headers. I might just move the R appendix to the beginning of the text.

I think that the graphics (some in color) are particularly useful. Moreover, I think that the inclusion of R output throughout the text was generally useful. I would like to have seen more presentations of "cleaned" data, to show students how they should present their data output. There are several points in the text where the R code seems to be out of place. For instance, on page 76, part of the code goes outside the grey shaded box.

The grammar and writing style of the textbook was good. I saw no major problems.

Cultural Relevance rating: 4

The text has the occasional nerd-culture reference (ex: page 40 contained a Monty Python reference) and sports references (ex: lots of baseball references in the probability chapter). In another example, when talking about sampling strategies, the authors write about how one might observe a potential partner in a variety of circumstances to determine whether they would me a good match. While I find this example a bit odd, I think the impulse to include interesting examples is a good one.

I am planning on using this for an undergraduate class, and it seems like the authors have pitched this for graduate students. I don't anticipate too many differences, but I'm excited to see how this textbook works for undergrads.

Reviewed by Saleheh Sharifmoghaddam, Adjunct Lecturer, Lehman College, City University of New York on 5/21/18

This book definitely tackles many of the issues facing students doing quantitative analysis in social sciences. The authors try to cover the main data analysis techniques, providing readers with ample examples to better appreciate the complexity... read more

This book definitely tackles many of the issues facing students doing quantitative analysis in social sciences. The authors try to cover the main data analysis techniques, providing readers with ample examples to better appreciate the complexity and dynamism of each model. While no text can attend to all models with detail, this book tries to educate the reader holistically and achieves this breadth, in my opinion, very effectively.

The book is accurate and error-free.

The book is certainly up-to-date and includes R codes to apply the models in the R interface.

The forte of the book is explaining complex econometrics models in very simple language with ample examples.

The text is internally consistent.

The books has various subheadings and makes the division of material very clear at the outset.

The topics are presented in a logical and clear fashion.

There are no significant interface issues.

The text is free of grammatical errors.

The books is not culturally offensive in any way.

The authors can improve the teaching capacity of the material by adding a sequel to the book, discussing more complicated models used in social sciences.

Table of Contents

I Theory and Empirical Social Science

  • 1 Theories and Social Science
  • 2 Research Design
  • 3 Exploring and Visualizing Data
  • 4 Probability
  • 5 Inference
  • 6 Association of Variables

II Simple Regression

  • 7 The Logic of Ordinary Least Squares Estimation
  • 8 Linear Estimation and Minimizing Error
  • 9 Bi-Variate Hypothesis Testing and Model Fit
  • 10 OLS Assumptions and Simple Regression Diagnostics

III Multiple Regression

  • 11 Introduction to Multiple Regression
  • 12 The Logic of Multiple Regression
  • 13 Multiple Regression and Model Building
  • 14 Topics in Multiple Regression
  • 15 The Art of Regression Diagnostic

IV Generalized Linear Model

  • 16 Logit Regression

V Appendices

  • 17 Appendix: Basic

Ancillary Material

About the book.

The focus of this book is on using quantitative research methods to test hypotheses and build theory in political science, public policy and public administration. It is designed for advanced undergraduate courses, or introductory and intermediate graduate-level courses. The first part of the book introduces the scientific method, then covers research design, measurement, descriptive statistics, probability, inference, and basic measures of association. The second part of the book covers bivariate and multiple linear regression using the ordinary least squares, the calculus and matrix algebra that are necessary for understanding bivariate and multiple linear regression, the assumptions that underlie these methods, and then provides a short introduction to generalized linear models. The book fully embraces the open access and open source philosophies. The book is freely available in the SHAREOK repository; it is written in R Markdown files that are available in a public GitHub repository; it uses and teaches R and RStudio for data analysis, visualization and data management; and it uses publically available survey data (from the Meso-Scale Integrated Socio-geographic Network) to illustrate important concepts and methods. We encourage students to download the data, replicate the examples, and explore further! We also encourage instructors to download the R Markdown files and modify the text for use in different courses.

About the Contributors

Hank Jenkins-Smith earned his PhD in political science from the University of Rochester (1985). He is a George Lynn Cross Research Professor in the Political Science Department at the University of Oklahoma, and serves as a co-Director of the National Institute for Risk and Resilience. Professor Jenkins-Smith has published books and articles on public policy processes, national security, weather, and energy and environmental policy. He has served on National Research Council Committees, as an elected member on the National Council on Radiation Protection and Measurement, and as a member of the governing Council of the American Political Science Association. His current research focuses on theories of the public policy process, with particular emphasis on the management (and mismanagement) of controversial technical issues involving high risk perceptions on the part of the public. In 2012 he and collaborators initiated a series of studies focused on social responses to the risks posed by severe weather. This work continues with a panel survey of Oklahoma households, funded by the National Science Foundation, to track perceptions of and responses to changing weather patterns. In his spare time, Professor Jenkins-Smith engages in personal experiments in risk perception and management via skiing, scuba diving and motorcycling.

Joseph Ripberger currently works at the Center for Risk and Crisis Management, University of Oklahoma. Joseph does research in Public Policy. Their current project is 'Glen Canyon Dam.'

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  • Writing in Political Science - Duke University Writing Studio 4 page introduction to the basics of political science scholarly communication.
  • Research Methods Knowledge Base The Research Methods Knowledge Base is a comprehensive web-based textbook that addresses all of the topics in a typical introductory undergraduate or graduate course in social research methods. It covers the entire research process including: formulating research questions; sampling (probability and nonprobability); measurement (surveys, scaling, qualitative, unobtrusive); research design (experimental and quasi-experimental); data analysis; and, writing the research paper. It also addresses the major theoretical and philosophical underpinnings of research including: the idea of validity in research; reliability of measures; and ethics.
  • Choosing a Research Design - PHDStudent.com
  • Research Basics - Explorable.com (previously www.experiment-resources.com) Includes sections on: -Research Methods: Formulating questions, collecting data, testing hypotheses -Experimental Research: Setting up experiments -Research Designs: Different types of designs used in research -Statistics in Research: A guide to statistics in research.
  • The Theory and Practice of Field Experiments: An Introduction from the EGAP Learning Days Since 2015, EGAP has conducted week-long workshops on experimental research methods for scholars and evaluation professionals based in Sub-Saharan Africa and Latin America. In these workshops — known as Learning Days — EGAP members from around the world travel to the workshop location to instruct on core topics in causal inference and experimental design, and to work closely one-on-one with participants to develop their research designs. In an effort to create a resource that EGAP members, workshop alumni, and others can use to organize their own workshops or refresh their training, Jake Bowers, Maarten Voors, and Nahomi Ichino have produced an online book. The book is organized around modules on the usual Learning Days topics as well as some new topics. At the heart of each module are slides that workshop facilitators can use directly or adapt for specific audiences. more... less... Authors: Jake Bowers, Maarten Voors, and Nahomi Ichino
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Working with Political Science Research Methods

Working with Political Science Research Methods Problems and Exercises

  • Jason D. Mycoff - University of Delaware, USA
  • Description

See what’s new to this edition by selecting the Features tab on this page. Should you need additional information or have questions regarding the HEOA information provided for this title, including what is new to this edition, please email [email protected] . Please include your name, contact information, and the name of the title for which you would like more information. For information on the HEOA, please go to http://ed.gov/policy/highered/leg/hea08/index.html .

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“This workbook provides innovative exercises for students to practice applying the lessons of a standard research methods course to political science questions.  The activities are useful in class, as assignments, or as the basis for an exam, and can launch great discussions on how and why we do research in the field.  I highly recommend this text to all political science research methods instructors.”

“The textbook does a great job of translating theory into practice.  It is an essential supplement to the textbook that gives students hands-on opportunities to test their understanding of the concepts discussed in the book.”

  • New exercises and data set
  • Pairs with Political Science Research Methods chapter by chapter and breaks each aspect of the research process into manageable parts
  • A solutions manual with answers to the workbook is available to adopters on  https://edge.sagepub.com/johnson9e/instructor-resources-0

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Chapter 1:Introduction: Practice Makes Perfect

Chapter 2: The Empirical Approach to Political Science

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political science research methods

Research Methods

Learning about research methods.

One purpose of this website is to aid in the instruction of social science research methods. The most useful subjects will be in the “ Research ” section. That section introduces many of the key approaches, methods and techniques employed in the research process. The first two sections — on causality and concepts — should be of concern to most student research.  The third section is on data collection and discusses a range of ways that we may seek out, or even attempt to create, data.  The fourth section focuses on particular methods and techniques that are often employed in analyzing data.

One thing you may want to keep in mind is that is often very useful to utilize multiple different approaches to a subject .  The process of triangulation can be extremely useful to a researcher (Patton 1990).  This may include using a variety of data sources, multiple researchers, multiple theoretical perspectives, and/or multiple methods (e.g. statistics plus interviews).  This is a version of the old journalist axiom that when your mother tells you she loves you you should seek independent corroboration for her story.

Remember that whatever method(s) and data you utilize in your research process, the choice of data and approach should flow from the question that is asked.

Patton, Michael Quinn. 1990. Qualitative Evaluation and Research Methods. Newbury Park, CA: Sage.

Regardless of what you plan to do it is always important to be in touch with your primary advisor and/or course instructor.  They may have advice or instructions that vary from those presented here.  This website is meant to be used as a general guide, to supplement — not replace — what they provide.

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The SAGE Handbook of Research Methods in Political Science and International Relations

The SAGE Handbook of Research Methods in Political Science and International Relations

  • Luigi Curini - Università degli Studi di Milano
  • Robert Franzese - University of Michigan
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The SAGE Handbook of Research Methods in Political Science   and International Relations  offers a comprehensive overview of research processes in social science — from the ideation and design of research projects, through the construction of theoretical arguments, to conceptualization, measurement, & data collection, and quantitative & qualitative empirical analysis — exposited through 65 major new contributions from leading international methodologists. 

Each chapter surveys, builds upon, and extends the modern state of the art in its area. Following through its six-part organization, undergraduate and graduate students, researchers and practicing academics will be guided through the design, methods, and analysis of issues in Political Science and International Relations:

Part One: Formulating Good Research Questions & Designing Good Research Projects

Part Two: Methods of Theoretical Argumentation

Part Three: Conceptualization & Measurement

Part Four: Large-Scale Data Collection & Representation Methods

Part Five: Quantitative-Empirical Methods

Part Six: Qualitative & “Mixed” Methods

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For scholars seeking credible research designs, this is an indispensable volume. The methods are wide-ranging and on the cutting edge, and the authors are an all-star cast of leading experts.

This is an extraordinarily comprehensive handbook on the current state of the art in research methods for political science. The roster of authors is both stellar and extensive. No single person knows this much about all this material. So all serious researchers can benefit from having this handbook on their shelves, whether to expand the scope of their own work or to enhance their reading of the work of others.

Since the dawn of the twenty-first century there has been an explosion of methods in the social and natural sciences.  As data has gotten bigger and bigger, we have been developing new tools to acquire, analyze, and synthesize all these bits and bytes, and this has led to nothing short of a revolution in political science.  The very leaders of this revolution have come together in these volumes to show the way, with both deep insight and engaging connections to the biggest substantive problems of our day.  This is literally the dream team of political science, and they are explaining in plain language exactly how to live on the cutting edge.  As someone deeply committed to both learning and teaching new methods, I can't think of another book I would rather have on my shelf. 

This handbook provides the reader with a very broad overview of research methods in political science. With chapters authored by notable senior and junior methodologists and applicants, it does not only cover a wide range of techniques, but also places methods within their context, such as research designs. This book is an excellent companion for researchers of all steps of their career who are about to find their way through the jungle of methodological offers.

This is a very impressive and broad collection of authors and essays.   This book will be my, and my students’, first stop in exploring any topic in political methodology.   The editors provide an important service to the discipline.  

The Sage Handbook of Research Methods in Political Science and International Relations has wide coverage from leading scholars and practitioners. There is definitely something for everyone to learn while emphasizing accessibility for all as well. 

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Research Methods in Politics and International Relations

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SAGE Research Methods is a research methods tool created to help researchers, faculty and students with their research projects. SAGE Research Methods links over 175,000 pages of SAGE’s renowned book, journal and reference content with truly advanced search and discovery tools. Researchers can explore methods concepts to help them design research projects, understand particular methods or identify a new method, conduct their research, and write up their findings. Since SAGE Research Methods focuses on methodology rather than disciplines, it can be used across the social sciences, health sciences, and more.

With SAGE Research Methods, researchers can explore their chosen method across the depth and breadth of content, expanding or refining their search as needed; read online, print, or email full-text content; utilize suggested related methods and links to related authors from SAGE Research Methods' robust library and unique features; and even share their own collections of content through Methods Lists. SAGE Research Methods contains content from over 720 books, dictionaries, encyclopedias, and handbooks, the entire “Little Green Book,” and "Little Blue Book” series, two Major Works collating a selection of journal articles, and specially commissioned videos.

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Political Science Research Methods 9th Edition

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  • ISBN-10 1544331436
  • ISBN-13 978-1544331430
  • Edition 9th
  • Publication date August 20, 2019
  • Language English
  • Dimensions 7.38 x 0.91 x 9.13 inches
  • Print length 400 pages
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About the author.

Janet Buttolph Johnson is associate professor of political science and international relations at the University of Delaware, where she specializes in public policy, state and local politics, and environmental policy and politics.

H. T. Reynolds is professor emeritus of political science at the University of Delaware. He is author of Governing America, with David Volger; The Analysis of Nominal Data , Second Edition; and several articles on methodology.

Jason Mycoff is associate professor of political science and international relations at the University of Delaware. His research is on American political institutions, in particular the US Congress, congressional committees, and parties.

Product details

  • Publisher ‏ : ‎ CQ Press; 9th edition (August 20, 2019)
  • Language ‏ : ‎ English
  • Paperback ‏ : ‎ 400 pages
  • ISBN-10 ‏ : ‎ 1544331436
  • ISBN-13 ‏ : ‎ 978-1544331430
  • Item Weight ‏ : ‎ 1.57 pounds
  • Dimensions ‏ : ‎ 7.38 x 0.91 x 9.13 inches
  • #218 in Political Science (Books)
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COMMENTS

  1. Political Science Research and Methods

    Political Science Research and Methods (PSRM) is a general political science journal dedicated to publishing original scholarly work of the highest quality from all subfields of political science.The journal specifically focuses on research applying rigorous methods to empirical or theoretical problems and promotes a rigorous scientific approach to the study of politics.

  2. Political Science Research Methods

    Political Science Research Methods helps students to understand the logic behind research design by guiding them through a step-by-step process that explains when and why a researcher would pursue different kinds of methods. The highly anticipated Ninth Edition of this trusted resource provides more international examples, an increased focus on ...

  3. Introduction to Political Science Research Methods

    Chapter 1- Introduction. Chapter 2- History and Development of the Empirical Study of Politics. Chapter 3- The Scientific Method. Chapter 4- Theories, Hypotheses, Variables, and Units. Chapter 5- Conceptualization, Operationalization, Measurement. Chapter 6- Elements of Research Design. Chapter 7- Qualitative Methods.

  4. The SAGE Handbook of Research Methods in Political Science and

    The SAGE Handbook of Research Methods in Political Science and International Relations offers a comprehensive overview of research processes in social science - from the ideation and design of research projects, through the construction of theoretical arguments, to conceptualization, measurement, and data collection, and quantitative and qualitative empirical analysis - exposited through 65 ...

  5. Introduction to Political Science Research Methods (Franco et al

    76154. Josue Franco. Cuyamaca College. Introduction to Political Science Research Methods is an Open Education Resource Textbook that surveys the research methods employed in political science. The textbook includes chapters that cover: history and development of the empirical study of politics; the scientific method; theories, hypotheses ...

  6. Political Science Research Methods

    Understand the "how" and the "why" behind research in political science. Political Science Research Methods by Janet Buttolph Johnson, H. T. Reynolds, and Jason D. Mycoff helps you to understand the logic behind research design by guiding you through a step-by-step process that explains when and why a researcher would pursue different kinds of methods.

  7. Political Science Research Methods

    Understand the "how" and the "why" behind research in political science. Step by step, Political Science Research Methods walks students through the logic of research design, carefully explaining how researchers choose which method to employ. The Eighth Edition of this trusted resource offers a greater emphasis on the ways in which ...

  8. The Fundamentals of Political Science Research

    The third edition of the best-selling The Fundamentals of Political Science Research provides an introduction to the scientific study of politics. It offers the basic tools necessary for readers to become both critical consumers and beginning producers of scientific research on politics. The authors present an integrated approach to research ...

  9. Political Science Research Methods

    Political Science Research Methods helps students to understand the logic behind research design by guiding them through a step-by-step process that explains when and why a researcher would pursue different kinds of methods. The highly anticipated Ninth Edition of this trusted resource provides more international examples, an increased focus on ...

  10. Fundamentals political science research 3rd edition

    He is the recently named editor-in-chief of Political Science Research and Methods, the flagship journal of the European Political Science Association. Guy D. Whitten, Texas A & M University Guy D. Whitten is Professor of Political Science, as well as the Director of the European Union Center, at Texas A & M University. He has published a ...

  11. (PDF) Introduction to Political Science Research Methods: An Open

    Introduction to Political Science Research Methods is a first-of-its-kind open education resource. With chapter contributions from Dr. Charlotte Lee at Berkeley City College, Kau Vue at Fresno ...

  12. Quantitative Research Methods for Political Science, Public Policy and

    The focus of this book is on using quantitative research methods to test hypotheses and build theory in political science, public policy and public administration. It is designed for advanced undergraduate courses, or introductory and intermediate graduate-level courses. The first part of the book introduces the scientific method, then covers research design, measurement, descriptive ...

  13. The SAGE Handbook of Research Methods in Political Science and

    The SAGE Handbook of Research Methods in Political Science and International Relations offers a comprehensive overview of research processes in social science — from the ideation and design of research projects, through the construction of theoretical arguments, to conceptualization, measurement, & data collection, and quantitative & qualitative empirical analysis — exposited through 65 ...

  14. Research Methods for Political Science

    The third edition of Research Methods for Political Science retains its effective approach to helping students learn what to research, why to research and how to research.The text integrates both quantitative and qualitative approaches to research in one volume and covers such important topics as research design, specifying research problems, designing questionnaires and writing questions ...

  15. Political Science Scope and Methods

    License CC BY-NC-SA.) This course is designed to provide an introduction to a variety of empirical research methods used by political scientists. The primary aims of the course are to make you a more sophisticated consumer of diverse empirical research and to allow you to conduct advanced independent work in your junior and senior years.

  16. LibGuides: Political Science: Research Methods & Design

    ISBN: 9781526459930. Publication Date: 2020-10-23. Writing in Political Science - Duke University Writing Studio. 4 page introduction to the basics of political science scholarly communication. Research Methods Knowledge Base. The Research Methods Knowledge Base is a comprehensive web-based textbook that addresses all of the topics in a typical ...

  17. QUALITATIVE RESEARCH: Recent Developments in Case Study Methods

    Abstract This article surveys the extensive new literature that has brought about a renaissance of qualitative methods in political science over the past decade. It reviews this literature's focus on causal mechanisms and its emphasis on process tracing, a key form of within-case analysis, and it discusses the ways in which case-selection criteria in qualitative research differ from those ...

  18. Political Science Research and Methods

    The fall of Trump: mobilization and vote switching in the 2020 presidential election. Voters use salient issues to inform their vote choice. Using 2020 Cooperative Election Study (CES) data, we analyze how short-, medium-, and long-term issues informed the vote for president in the 2020 election, which witnessed record-setting participation.

  19. Working with Political Science Research Methods

    Practice makes perfect. This new, Fifth Edition of Working with Political Science Research Methods continues to support student learning by offering the perfect opportunity to practice each of the methods presented in the core text.Designed to be paired with the Political Science Research Methods 9th edition chapter-for-chapter, the workbook breaks out each aspect of the research process into ...

  20. Research Methods for Political Science

    Looking at every stage of the research process, Political Science Research Methods in Action showcases common problems that affect diverse research approaches and shows how they were encountered and resolved. Aiming to help researchers - whether new or experienced - to take control of their research, this volume brings the research process to ...

  21. Research Methods

    The most useful subjects will be in the "Research" section. That section introduces many of the key approaches, methods and techniques employed in the research process. The first two sections — on causality and concepts — should be of concern to most student research. The third section is on data collection and discusses a range of ways ...

  22. The SAGE Handbook of Research Methods in Political Science and

    The SAGE Handbook of Research Methods in Political Science and International Relations offers a comprehensive overview of research processes in social science — from the ideation and design of research projects, through the construction of theoretical arguments, to conceptualization, measurement, & data collection, and quantitative & qualitative empirical analysis — exposited through 65 ...

  23. PDF POLS 5020: Research Methods

    methods of inquiry can be used for research on politics, presents a toolkit developing and answering questions you care about, and trains you to use those tools productively. ... • Interpret and evaluate evidence presented in political science research . Revised 12/19/2023 A Note on Learning Methods Empirical (i.e. evidence-based) analysis ...

  24. Political Science Research Methods

    Understand the "how" and the "why" behind research in political science. Political Science Research Methods by Janet Buttolph Johnson, H. T. Reynolds, and Jason D. Mycoff helps you to understand the logic behind research design by guiding you through a step-by-step process that explains when and why a researcher would pursue different kinds of methods.

  25. Political Science Research and Methods

    View abstract. We assess the accuracy of procedural and bargaining models in predicting the outcomes of the reforms of the economic governance of the European Union (EU) that took place between 1997 and 2013. These negotiations were characterized by high costs of failure. We confirm the accuracy and robustness of the compromise model, but a ...