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

Ebook for iit jee free download Data Analysis for Social Science: A Friendly and Practical Introduction

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

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

Ebook for iit jee free download Data Analysis for Social Science: A Friendly and Practical Introduction

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 : Imai, Kosuke
Quantitative Social Science: An Introduction. +. Data Analysis for Social Science: A Friendly and Practical Introduction. Total price:€90.22.
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Quantitative Social Science: An Introduction in tidyverse
Quantitative Social Science is a practical introduction to data analysis and statistics written especially for undergraduates and beginning graduate
Quantitative Social Science: An Introduction in tidyverse
Quantitative Social Science is a practical introduction to data analysis and statistics written especially for undergraduates and beginning graduate
Data Analysis for Social Science: A - Klindt's Booksellers
Description. 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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SQL for Data Analysis: Advanced Techniques for Transforming Data into Insights Data Analysis for Social Science: A Friendly and Practical Introduction.
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
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An ideal textbook for an introductory course on quantitative methods for social scientists Data Analysis for Social Science provides a friendly introduction
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