Quantitative Social Science (eBook)

An Introduction in tidyverse

Kosuke Imai, Nora Webb Williams (Autoren)

eBook Download: EPUB

2024
488 Seiten
Princeton University Press (Verlag)
978-0-691-27088-3 (ISBN)

Infos

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

Produkt-Details

• Erscheint lt. Verlag: 10.9.2024
• Zusatzinfo: 43 color + 45 b/w illus. 51 tables.
• Sprache: englisch
• Themenwelt: Sozialwissenschaften ► Soziologie ► Empirische Sozialforschung
• Schlagworte: Addition • average treatment effect • ballot • Bias of an estimator • Binomial Distribution • blue-collar worker • Cartesian coordinate system • causal inference • coefficient • conditional expectation • Conditional probability • Confidence interval • coverage probability • Critical Value • data set • Document-term matrix • Drinking • Equation • estimation • Estimator • histogram • Ideology • inference • linear regression • Measurement • minimum wage • Newsletter • Normal distribution • null hypothesis • observational study • Parameter • pasture • Percentage point • Politician • Prediction • Probability • Proportionality (mathematics) • Pumice • p-value • Quantile • Quantity • Randomization • Randomized experiment • Random Variable • Respondent • Response rate (survey) • result • Résumé • RStudio • Sample Size • sampling distribution • Sampling (Statistics) • sentiment analysis • Simulation • standard deviation • standard error • Standard Score • Statistic • Statistical hypothesis testing • Student's t-test • Summation • Survey Sampling • Types of volcanic eruptions • Uncertainty • Unemployment • Variable (computer science) • Variable (mathematics) • Variance • Voter turnout • World War II
• ISBN-10: 0-691-27088-0 / 0691270880
• ISBN-13: 978-0-691-27088-3 / 9780691270883