Data Analysis for Social Science: A Friendly and Practical Introduction
Data Analysis for Social Science: A Friendly and Practical Introduction
Elena Llaudet
Data Analysis for Social Science: A Friendly and Practical Introduction
Elena Llaudet
Descripción
An ideal textbook for an introductory course on quantitative methods for social scientists--assumes no prior knowledge of statistics or coding
Data Analysis for Social Science provides a friendly introduction to the statistical concepts and programming skills needed to conduct and evaluate social scientific studies. Using plain language and assuming no prior knowledge of statistics and coding, the book provides a step-by-step guide to analyzing real-world data with the statistical program R for the purpose of answering a wide range of substantive social science questions. It teaches not only how to perform the analyses but also how to interpret results and identify strengths and limitations. This one-of-a-kind textbook includes supplemental materials to accommodate students with minimal knowledge of math and clearly identifies sections with more advanced material so that readers can skip them if they so choose.- Analyzes real-world data using the powerful, open-sourced statistical program R, which is free for everyone to use
- Teaches how to measure, predict, and explain quantities of interest based on data
- Shows how to infer population characteristics using survey research, predict outcomes using linear models, and estimate causal effects with and without randomized experiments
- Assumes no prior knowledge of statistics or coding
- Specifically designed to accommodate students with a variety of math backgrounds
- Provides cheatsheets of statistical concepts and R code
- Supporting materials available online, including real-world datasets and the code to analyze them, plus--for instructor use--sample syllabi, sample lecture slides, additional datasets, and additional exercises with solutions
Looking for a more advanced introduction? Consider Quantitative Social Science by Kosuke Imai. In addition to covering the material in Data Analysis for Social Science, it teaches diffs-in-diffs models, heterogeneous effects, text analysis, and regression discontinuity designs, among other things.
Detalles
Formato | Tapa suave |
Número de Páginas | 256 |
Lenguaje | Inglés |
Editorial | Princeton University Press |
Fecha de Publicación | 2022-11-29 |
Dimensiones | 9.9" x 8.0" x 0.9" pulgadas |
Letra Grande | No |
Con Ilustraciones | No |
Acerca del Autor
Garantía & Otros
Garantía: | 30 dias por defectos de fabrica |
Peso: | 0.612 kg |
SKU: | 9780691199436 |
Publicado en Unimart.com: | 11/09/24 |
Feedback: |
¿Viste un precio más bajo?
Queremos saber.
×
Informános Sobre un Mejor Precio Data Analysis for Social Science: A Friendly and Practical Introduction ¿Viste un precio más bajo? Queremos saber. Aunque no podemos igualar todos los precios, usaremos tus comentarios para asegurarnos que nuestros precios sean competitivos. ¿Adonde viste un precio más bajo? |