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2023.04.19 03:36

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

Data Analysis for Social Science: A Friendly and Practical Introduction


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ISBN: 9780691199436 | 256 pages | 7 Mb
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Best book download Data Analysis for Social Science: A Friendly and Practical Introduction 9780691199436 by Elena Llaudet, Kosuke Imai, Elena Llaudet, Kosuke Imai

An ideal textbook for an introductory course on quantitative methods for social scientists—assumes no prior knowledge of statistics or coding Data Analysis for Social Science provides a friendly introduction to the statistical concepts and programming skills needed to conduct and evaluate social scientific studies. Using plain language and assuming no prior knowledge of statistics and coding, the book provides a step-by-step guide to analyzing real-world data with the statistical program R for the purpose of answering a wide range of substantive social science questions. It teaches not only how to perform the analyses but also how to interpret results and identify strengths and limitations. This one-of-a-kind textbook includes supplemental materials to accommodate students with minimal knowledge of math and clearly identifies sections with more advanced material so that readers can skip them if they so choose. Analyzes real-world data using the powerful, open-sourced statistical program R, which is free for everyone to use Teaches how to measure, predict, and explain quantities of interest based on data Shows how to infer population characteristics using survey research, predict outcomes using linear models, and estimate causal effects with and without randomized experiments Assumes no prior knowledge of statistics or coding Specifically designed to accommodate students with a variety of math backgrounds Provides cheatsheets of statistical concepts and R code Supporting materials available online, including real-world datasets and the code to analyze them, plus—for instructor use—sample syllabi, sample lecture slides, additional datasets, and additional exercises with solutions Looking for a more advanced introduction? Consider Quantitative Social Science by Kosuke Imai. In addition to covering the material in Data Analysis for Social Science, it teaches diffs-in-diffs models, heterogeneous effects, text analysis, and regression discontinuity designs, among other things.

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An ideal textbook for an introductory course on quantitative methods for social scientists―assumes no prior knowledge of statistics or coding
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Data Analysis for Social Science: A Friendly and Practical
Data Analysis for Social Science: A Friendly and Practical Introduction : Llaudet, Elena, Imai, Kosuke: Amazon.es: Libros.
Kosuke Imai - Princeton University Press
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Data Analysis for Social Science: A Friendly and Practical
Description. An ideal textbook for an introductory course on quantitative methods for social scientists--assumes no prior knowledge of statistics or coding.
Data Analysis for Social Science - Tomlinsons Book Service
Data Analysis for Social Science A Friendly and Practical Introduction. By (author) Kosuke Imai,Elena Llaudet. ISBN13: 9780691199436.
Data Analysis for Social Science: A Friendly - Didier Ruedin
Data Analysis for Social Science: A Friendly and Practical Introduction is now available as an e-book, and it truly delivers what the title 

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