Quantitative Social Science (eBook)

An Introduction in tidyverse

Kosuke Imai, Nora Webb Williams (Autoren)

eBook Download: PDF

2022
488 Seiten
Princeton University Press (Verlag)
978-0-691-22229-5 (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: 20.9.2022
• Zusatzinfo: 43 color + 45 b/w illus. 51 tables.
• Sprache: englisch
• Themenwelt: Schulbuch / Wörterbuch ► Lexikon / Chroniken
• Themenwelt: Informatik ► Datenbanken ► Data Warehouse / Data Mining
• Themenwelt: Sozialwissenschaften ► Soziologie ► Empirische Sozialforschung
• Schlagworte: absolute magnitude • academic journal • Addition • Adjacency Matrix • African Americans • Aggregate data • Approximation • average treatment effect • Axis powers • ballot • basic programming • Bias of an estimator • Big-box store • Binomial Distribution • birthday problem • blue-collar worker • Calculation • Cartesian coordinate system • causal inference • central limit theorem • Classroom • coefficient • conditional expectation • Conditional probability • Confidence interval • confounding • Contrition • Correlation and dependence • coverage probability • Critical Value • Currency • Data Grid • data set • Debug code • Degrees of freedom (statistics) • Design Strategy • Difference in differences • directed graph • Document-term matrix • Drinking • Drinking Water • earth science • Electoral College • emergency management • Employment • Equation • error • estimation • Estimator • Field Experiment • Filename extension • Finding • Government of Russia • Gram panchayat • histogram • human height • hypothesis • Ideal point • Ideology • Independence (probability theory) • inference • Instance (computer science) • Institutional Revolutionary Party • internal validity • Iteration • Iterative Method • Law of total variance • lettuce • linear regression • Linux • Logarithmic scale • Measurement • minimum wage • Multiple comparisons problem • natural experiment • Newsletter • Normal distribution • null hypothesis • observational study • operating system • Pagerank • Pamphlet • Parameter • pasture • Percentage point • Persuasion • Plugboard • Politician • Population proportion • Prediction • Probability • Probability Distribution • Probability Theory • proof by contradiction • Proportionality (mathematics) • Pumice • p-value • Quantile • Quantity • Randomization • Randomized experiment • Random Variable • rectangle • Respondent • Response rate (survey) • result • Résumé • Root-mean-square deviation • RStudio • Sample Size • sampling distribution • sampling frame • Sampling (Statistics) • scientific community • Scientist • sentiment analysis • Sex Ratio • Sign (mathematics) • Simple random sample • Simulation • Social Science • standard deviation • standard error • Standardization • Standard Score • Statistic • Statistical hypothesis testing • Statistical Theory • Student's t-test • Subsidiary • Subunit (format) • Summation • Survey Sampling • test statistic • Textbook • Tf–idf • The Design of Experiments • Treatment and control groups • Twitter • Types of volcanic eruptions • Uncertainty • Unemployment • Variable (computer science) • Variable (mathematics) • Variance • Voter turnout • WalMart • Weighted arithmetic mean • women in government • workspace • World War II
• ISBN-10: 0-691-22229-0 / 0691222290
• ISBN-13: 978-0-691-22229-5 / 9780691222295