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Data Analysis for Social Science: A Friendly and Practical Introduction Paperback - 2022
by Elena Llaudet; Kosuke Imai
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- Title Data Analysis for Social Science: A Friendly and Practical Introduction
- Author Elena Llaudet; Kosuke Imai
- Binding Paperback
- Pages 256
- Volumes 1
- Language ENG
- Publisher Princeton University Press
- Date 2022-11-29
- Features Bibliography, Index
- ISBN 9780691199436 / 0691199434
- Weight 1.35 lbs (0.61 kg)
- Dimensions 9.9 x 8 x 0.9 in (25.15 x 20.32 x 2.29 cm)
- Library of Congress subjects Social sciences - Methodology, Social sciences - Statistical methods
- Library of Congress Catalog Number 2022030106
- Dewey Decimal Code 519.5
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Paperback / softback. New. An ideal textbook for an introductory course on quantitative methods for social scientists 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. A more accessible version of Kosuke Imai's Quantitative Social Science Analyzes real-world data using the…
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Princeton: Princeton University Press, 2023. Paperback. Very good. Paperback. 10" X 8". xii, 238pp. Very mild shelf wear to covers, corners, and edges of paper wraps. Pages are clean and unmarked. Binding is sound. ABOUT THIS BOOK: An ideal textbook for complete beginners—teaches from scratch R, statistics, and the fundamentals of quantitative social science Data 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…
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DATA ANALYSIS FOR SOCIAL SCIENCE
by LLAUDET,ELENA
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