Data Analysis for Social Science

Data Analysis for Social Science

A Friendly and Practical Introduction

Imai, Kosuke; Llaudet, Elena

Princeton University Press

11/2022

256

Mole

Inglês

9780691199436

15 a 20 dias

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Social science; Variable (computer science); Estimator; Data set; Result; Estimation; Variable (mathematics); Treatment and control groups; Randomized experiment; Test statistic; Null hypothesis; Observational study; Social Science Research; Test score; Sampling (statistics); Data analysis; Probability; Units of measurement; Statistical significance; Statistic; Statistical hypothesis testing; Linear regression; Proportionality (mathematics); Parameter; Causality; Coding (social sciences); RStudio; Prediction; Quantity; Parameter (computer programming); Data science; Notation; Alternative hypothesis; Percentage point; Voting behavior; Mathematical notation; Normal distribution; Instance (computer science); Sampling distribution; Predictive modelling; Statistics; Supply (economics); Programming language; Survey methodology; Education policy; Confidence interval; Comma-separated values; Control variable; Class size; Uncertainty; Cosmic Evolution (book); P-value; Epidemiology; Likelihood function; Explanation; Bias of an estimator; Descriptive statistics; Average treatment effect; Demography; Instruction set; Quantitative research; Experiment; Utilization; Private sector; Population Characteristics; Gravity Recovery and Interior Laboratory; Gross domestic product; Socioeconomics; Language interpretation; Computer performance