Baskadia

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

Data-Analysis-for-Social.pdf
ISBN: 9780691199436 | 256 pages | 7 Mb

• Data Analysis for Social Science: A Friendly and Practical Introduction
  

• Elena Llaudet, Kosuke Imai
  

• Page: 256
  

• Format: pdf, ePub, fb2, mobi
  

• ISBN: 9780691199436
  

• Publisher: Princeton University Press
  

Download Data Analysis for Social Science: A Friendly and Practical Introduction

Free ebook download for ipad Data Analysis for Social Science: A Friendly and Practical Introduction by Elena Llaudet, Kosuke Imai 9780691199436 (English literature)

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.

Quantitative Social Science: An Introduction in Stata
This textbook is a practical introduction to data analysis and statistics written especially for undergraduates and beginning graduate students in the 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.
27 Social Science | Big Book of R
Complex Surveys is a practical guide to the analysis of survey data using R, the freely available and downloadable statistical programming language.
Data Analysis for Social Science: A book by Elena Llaudet
An ideal textbook for an introductory course on quantitative methods for for "Data Analysis for Social Science: A Friendly and Practical Introduction".
Kosuke Imai's Homepage
Imai specializes in the development of statistical methods and machine learning algorithms and their applications to social science research. His areas of 
Data Analysis for Social Science : A Friendly - Walmart.com
Arrives by Tue, Dec 27 Buy Data Analysis for Social Science : A Friendly and Practical Introduction (Hardcover) at Walmart.com.
Quantitative Social Science | Princeton University Press
Quantitative Social Science: An Introduction in Stata This textbook is a practical introduction to data analysis and statistics written especially for 
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