Isbn: 9780691199436 - data analysis for social science: a friendly and practical introduction (12 Ergebnisse)

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PAP. Zustand: New. New Book. Shipped from UK. Established seller since 2000.

Zustand: New. Brand New. Soft Cover International Edition. Different ISBN and Cover Image. Priced lower than the standard editions which is usually intended to make them more affordable for students abroad. The core content of the book is generally the same as the standard edition. The country selling restrictions may be printed on the book but is no problem for the self-use. This Item maybe shipped from US or any other country as we have multiple locations worldwide.…

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Zustand: New. 2022. Paperback. . . . . . Books ship from the US and Ireland.

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Paperback. Zustand: Brand New. 256 pages. 10.00x8.00x0.90 inches. In Stock.

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Taschenbuch. Zustand: Neu. Neuware - An ideal textbook for complete beginnersteaches from scratch R, statistics, and the fundamentals of quantitative social scienceData Analysis for Social Science provides a friendly introduction to the statistical concepts and programming skills needed to conduct and evaluate social scientific studies. Assuming no prior knowledge of statistics and coding and only minimal knowledge of math, the book teaches the fundamentals of survey research, predictive models, and causal inference while analyzing data from published studies with the statistical program R. It teaches not only how to perform the data analyses but also how to interpret the results and identify the analyses' strengths and limitations.- Progresses by teaching how to solve one kind of problem after another, bringing in methods as needed. It teaches, in this order, how to (1) estimate causal effects with randomized experiments, (2) visualize and summarize data, (3) infer population characteristics, (4) predict outcomes, (5) estimate causal effects with observational data, and (6) generalize from sample to population.- Flips the script of traditional statistics textbooks. It starts by estimating causal effects with randomized experiments and postpones any discussion of probability and statistical inference until the final chapters. This unconventional order engages students by demonstrating from the very beginning how data analysis can be used to answer interesting questions, while reserving more abstract, complex concepts for later chapters.- Provides a step-by-step guide to analyzing real-world data using the powerful, open-source statistical program R, which is free for everyone to use. The datasets are provided on the book's website so that readers can learn how to analyze data by following along with the exercises in the book on their own computer.- Assumes no prior knowledge of statistics or coding.- Specifically designed to accommodate students with a variety of math backgrounds. It includes supplemental materials for students with minimal knowledge of math and clearly identifies sections with more advanced material so that readers can skip them if they so choose.- Provides cheatsheets of statistical concepts and R code.- Comes with instructor materials (upon request), including sample syllabi, lecture slides, and additional replication-style exercises with solutions and with the real-world datasets analyzed. 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.…

Paperback. Zustand: Brand New. 256 pages. 10.00x8.00x0.90 inches. In Stock.

Kartoniert / Broschiert. Zustand: New. &Uumlber den AutorElena Llaudet is Associate Professor of Political Science at Suffolk University in Boston. Kosuke Imai is Professor of Government and of Statistics at Harvard University.Klappentext.

Taschenbuch. Zustand: Neu. Data Analysis for Social Science - A Friendly and Practical Introduction | A Friendly and Practical Introduction | Elena Llaudet (u. a.) | Taschenbuch | Einband - flex.(Paperback) | Englisch | 2023 | Princeton University Press | EAN 9780691199436 | Verantwortliche Person für die EU: Libri GmbH, Europaallee 1, 36244 Bad Hersfeld, gpsr[at]libri[dot]de | Anbieter: preigu.…