Quantitative Social Science 在線電子書 pdf 下載 txt下載 epub 下載 mobi 下載 2024


Quantitative Social Science

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Kosuke Imai 作者
Princeton University Press
譯者
2017-3-14 出版日期
432 頁數
USD 49.50 價格
Paperback
叢書系列
9780691175461 圖書編碼

Quantitative Social Science 在線電子書 圖書標籤: 社會科學  研究方法  量化研究  統計學  定量研究  方法論  社會學  計量分析   


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發表於2024-11-21

Quantitative Social Science 在線電子書 epub 下載 mobi 下載 pdf 下載 txt 下載 2024

Quantitative Social Science 在線電子書 epub 下載 pdf 下載 mobi 下載 txt 下載 2024

Quantitative Social Science 在線電子書 pdf 下載 txt下載 epub 下載 mobi 下載 2024



Quantitative Social Science 在線電子書 用戶評價

評分

這本書賊斃,大牛寫的入門教材,邏輯上很前衛,不老套

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代碼都寫好放上來瞭,imai是個熱心腸啊

評分

人文社科定量方法的最優秀教科書,沒有之一。社科強校本科生,弱校研究生一年級的必備教科書。不知國內有沒有人翻譯瞭,如果有的話估計是清華那幾位。

評分

這本書賊斃,大牛寫的入門教材,邏輯上很前衛,不老套

評分

人文社科定量方法的最優秀教科書,沒有之一。社科強校本科生,弱校研究生一年級的必備教科書。不知國內有沒有人翻譯瞭,如果有的話估計是清華那幾位。

Quantitative Social Science 在線電子書 著者簡介

Kosuke Imai is professor of politics and founding director of the Program in Statistics and Machine Learning at Princeton University.


Quantitative Social Science 在線電子書 著者簡介


Quantitative Social Science 在線電子書 pdf 下載 txt下載 epub 下載 mobi 在線電子書下載

Quantitative Social Science 在線電子書 圖書描述

Quantitative analysis is an increasingly essential skill for social science research, yet students in the social sciences and related areas typically receive little training in it—or if they do, they usually end up in statistics classes that offer few insights into their field. This textbook is a practical introduction to data analysis and statistics written especially for undergraduates and beginning graduate students in the social sciences and allied fields, such as economics, sociology, public policy, and data science.

Quantitative Social Science engages directly with empirical analysis, showing students how to analyze data using the R programming language and to interpret the results—it encourages hands-on learning, not paper-and-pencil statistics. More than forty data sets taken directly from leading quantitative social science research illustrate how data analysis can be used to answer important questions about society and human behavior.

Proven in the classroom, this one-of-a-kind textbook features numerous additional data analysis exercises and interactive R programming exercises, and also comes with supplementary teaching materials for instructors.

Written especially for students in the social sciences and allied fields, including economics, sociology, public policy, and data science

Provides hands-on instruction using R programming, not paper-and-pencil statistics

Includes more than forty data sets from actual research for students to test their skills on

Covers data analysis concepts such as causality, measurement, and prediction, as well as probability and statistical tools

Features a wealth of supplementary exercises, including additional data analysis exercises and interactive programming exercises

Offers a solid foundation for further study

Comes with additional course materials online, including notes, sample code, exercises and problem sets with solutions, and lecture slides

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