Data Analysis for Social Science: A Friendly

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

• Data Analysis for Social Science: A Friendly and Practical Introduction
• Elena Llaudet, Kosuke Imai
• Page: 256
• Format: pdf, ePub, mobi, fb2
• ISBN: 9780691199436
• Publisher: Princeton University Press

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Free audiobooks to download to mp3 Data Analysis for Social Science: A Friendly and Practical Introduction in English

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.

Data Analysis for Social Science: A Friendly and Practical
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: A Friendly and Practical
Amazon.com: Data Analysis for Social Science: A Friendly and Practical Introduction: 9780691199429: Llaudet, Elena, Imai, Kosuke: Libros.
博客來-Data Analysis for Social Science: A Friendly and
書名：Data Analysis for Social Science: A Friendly and Practical Introduction，語言：英文，ISBN：9780691199436，頁數：256，作者：Llaudet, Elena,Imai, 
Data Analysis for Social Science | Princeton University Press
Data Analysis for Social Science provides a friendly introduction to the statistical concepts and programming skills needed to conduct and evaluate social 
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.
Using R for Data Analysis in Social Sciences: A Research
Statistical analysis is common in the social sciences, and among the more popular programs is R. This book provides a foundation for undergraduate and 
Data Analysis for Social Science: A Friendly and Practical
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 | Princeton University Press
Data Analysis for Social Science provides a friendly introduction to the statistical concepts and programming skills needed to conduct and evaluate social 
download[EBOOK] Data Analysis for Social Science - Yumpu
Data Analysis for Social Science: A Friendly and Practical Introduction. An ideal textbook for an introductory course on quantitative 
Doing Computational Social Science | SAGE Publications Inc
It assumes no knowledge of programming, offering step-by-step guidance for coding in Python and drawing on examples of real data analysis to demonstrate how you 
Data Analysis for Social Science: A Friendly and - Bookshop
An ideal textbook for an introductory course on quantitative methods for social scientists--assumes no prior knowledge of statistics or coding Data Analysis 

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