Quantitative Social Science (eBook)

An Introduction in Stata

Kosuke Imai, Lori D. Bougher (Autoren)

eBook Download: PDF

2021
472 Seiten
Princeton University Press (Verlag)
978-0-691-19129-4 (ISBN)

Infos

The Stata edition of the groundbreaking textbook on data analysis and statistics for the social sciences and allied fieldsQuantitative 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 business, economics, education, political science, psychology, sociology, public policy, and data science.Quantitative Social Science engages directly with empirical analysis, showing students how to analyze data using the Stata statistical software and interpret the results-it emphasizes hands-on learning, not paper-and-pencil statistics. More than fifty 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 classrooms around the world, this one-of-a-kind textbook features numerous additional data analysis exercises, and also comes with supplementary teaching materials for instructors.Written especially for students in the social sciences and allied fields, including business, economics, education, psychology, political science, sociology, public policy, and data scienceProvides hands-on instruction using Stata, not paper-and-pencil statisticsIncludes more than fifty 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 interactive 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: 16.3.2021
• Co-Autor: Raymond P. Hicks
• Sprache: englisch
• Themenwelt: Schulbuch / Wörterbuch ► Lexikon / Chroniken
• Themenwelt: Sozialwissenschaften ► Politik / Verwaltung ► Politische Theorie
• Themenwelt: Sozialwissenschaften ► Soziologie ► Empirische Sozialforschung
• Schlagworte: Accuracy and precision • Alternative hypothesis • average treatment effect • Bernoulli distribution • Bernoulli trial • betweenness • Bias of an estimator • Binomial Distribution • birthday problem • Calculation • causal inference • central limit theorem • Chi-squared test • Choropleth map • Cluster sampling • coefficient • coefficient of determination • Confidence interval • Correlation and dependence • Counting • Cross-Sectional Data • Cross-validation (statistics) • data set • Degrees of freedom (statistics) • Dummy variable (statistics) • effect size • Empirical distribution function • error • Error Term • estimation • Estimator • expected value • Exploratory data analysis • Fair coin • False Discovery Rate • False positive rate • Fisher's Exact Test • histogram • inference • internal validity • Interquartile range • Joint probability distribution • law of large numbers • Law of total variance • Least Squares • linear regression • margin of error • Midparent • minimum wage • Monte Carlo Method • Normal distribution • null hypothesis • observational study • One-Tailed Test • pairwise • Point Estimation • Population proportion • Prediction • Prior probability • Probability • Probability Distribution • Proportionality (mathematics) • p-value • Quantile • Quartile • Randomization • Randomized Controlled Trial • Randomized experiment • Random Variable • Ranking (information retrieval) • regression discontinuity design • Regression toward the mean • result • Root-mean-square deviation • Sample space • sampling error • Sampling (Statistics) • Simple random sample • Skewness • Social desirability bias • standard deviation • standard error • Standard Score • Stata • Statistical hypothesis testing • statistical significance • stochastic • Student's t-test • summary statistics • Summation • test statistic • Thomas Bayes • t-statistic • Type I and type II errors • Variable (computer science) • Variable (mathematics) • Variance • Weighted arithmetic mean • World population estimates • Z-Test
• ISBN-10: 0-691-19129-8 / 0691191298
• ISBN-13: 978-0-691-19129-4 / 9780691191294