Instructor Resources

Data Analysis for Social Science Data Analysis for Social Science : A Friendly and Practical Introduction
Elena Llaudet and Kosuke Imai

Below are student and instructor Resources for Data Analysis for Social Science: A Friendly and Practical Introduction

 

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If you have assigned this textbook in your course, you may request access to the instructor resources described on this page by clicking the link below. All requests are verified by 91桃色. Once  approved, you will be able to download all materials listed below. If you encounter any issues, please contact textbooks@press.princeton.edu.

 

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DSS [ZIP]

This folder contains all the files used in the book: the real-world datasets analyzed and the code used to analyze them. For easy access, we recommend saving the unzipped folder on your Desktop. (This is where the code used throughout the book assumes the DSS folder is located.) By default, your computer will likely save the zipped DSS folder to your Downloads. To unzip it, double click on it. To move the unzipped folder, you can copy and paste it or drag it to the new location.

Llaudet Course Materials [ZIP]

This folder contains course materials from Llaudet鈥檚 undergraduate introductory course, including the source files for her syllabus and lecture slides. The problem sets she assigns are provided in the Additional Exercises by Chapter folder below. For guidance on how to use and modify these materials, see llaudet_course_materials.pdf.

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Additional Exercises by Chapter [ZIP]

This folder contains additional exercises for each chapter of the book, the associated real-world datasets, and their solutions. These exercises draw on the same statistical concepts and code as the analyses in the book but use them to explore different research questions and real-world datasets. They give students repeated, hands-on experience鈥攌ey to building skills鈥攁nd show how to apply quantitative reasoning across a variety of contexts. For a summary, see additional_exercises_by_chapter.pdf. For more advanced-level exercises, check out the Instructor Resources for Imai's Quantitative Social Science.

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Errata [ZIP]

Lists known typos and other corrections to the published text.