Store besparelser
Hurtig levering
Gemte
Log ind
0
Kurv
Kurv

Quantitative Social Science

- An Introduction in tidyverse
Af: Kosuke Imai, Nora Webb Williams Engelsk Paperback

Quantitative Social Science

- An Introduction in tidyverse
Af: Kosuke Imai, Nora Webb Williams Engelsk Paperback
Tjek vores konkurrenters priser
A tidyverse edition of the acclaimed textbook on data analysis and statistics for the social sciences and allied fieldsQuantitative analysis is an essential skill for social science research, yet students in the social sciences and related areas typically receive little training in it. Quantitative Social Science is a practical introduction to data analysis and statistics written especially for undergraduates and beginning graduate students in the social sciences and allied fields, including business, economics, education, political science, psychology, sociology, public policy, and data science. Proven in classrooms around the world, this one-of-a-kind textbook engages directly with empirical analysis, showing students how to analyze and interpret data using the tidyverse family of R packages. Data sets taken directly from leading quantitative social science research illustrate how to use data analysis to answer important questions about society and human behavior. Emphasizes hands-on learning, not paper-and-pencil statisticsIncludes data sets from actual research for students to test their skills onCovers data analysis concepts such as causality, measurement, and prediction, as well as probability and statistical toolsFeatures a wealth of supplementary exercises, including additional data analysis exercises and programming exercisesOffers a solid foundation for further studyComes with additional course materials online, including notes, sample code, exercises and problem sets with solutions, and lecture slides
Tjek vores konkurrenters priser
Normalpris
kr 507
Fragt: 39 kr
6 - 8 hverdage
20 kr
Pakkegebyr
God 4 anmeldelser på
Tjek vores konkurrenters priser
A tidyverse edition of the acclaimed textbook on data analysis and statistics for the social sciences and allied fieldsQuantitative analysis is an essential skill for social science research, yet students in the social sciences and related areas typically receive little training in it. Quantitative Social Science is a practical introduction to data analysis and statistics written especially for undergraduates and beginning graduate students in the social sciences and allied fields, including business, economics, education, political science, psychology, sociology, public policy, and data science. Proven in classrooms around the world, this one-of-a-kind textbook engages directly with empirical analysis, showing students how to analyze and interpret data using the tidyverse family of R packages. Data sets taken directly from leading quantitative social science research illustrate how to use data analysis to answer important questions about society and human behavior. Emphasizes hands-on learning, not paper-and-pencil statisticsIncludes data sets from actual research for students to test their skills onCovers data analysis concepts such as causality, measurement, and prediction, as well as probability and statistical toolsFeatures a wealth of supplementary exercises, including additional data analysis exercises and programming exercisesOffers a solid foundation for further studyComes with additional course materials online, including notes, sample code, exercises and problem sets with solutions, and lecture slides
Produktdetaljer
Sprog: Engelsk
Sider: 488
ISBN-13: 9780691222288
Indbinding: Paperback
Udgave:
ISBN-10: 0691222282
Udg. Dato: 2 aug 2022
Længde: 33mm
Bredde: 256mm
Højde: 178mm
Forlag: Princeton University Press
Oplagsdato: 2 aug 2022
Forfatter(e) Kosuke Imai, Nora Webb Williams


Kategori Social forskning og statistik


ISBN-13 9780691222288


Sprog Engelsk


Indbinding Paperback


Sider 488


Udgave


Længde 33mm


Bredde 256mm


Højde 178mm


Udg. Dato 2 aug 2022


Oplagsdato 2 aug 2022


Forlag Princeton University Press

Andre har også købt
Kategori sammenhænge