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Data Analysis for Social Science: A Friendly and Practical Introduction: Used
US $27.16
Approximately£20.21
Condition:
Good
A book that has been read, but is in good condition. Minimal damage to the book cover eg. scuff marks, but no holes or tears. If this is a hard cover, the dust jacket may be missing. Binding has minimal wear. The majority of pages are undamaged with some creasing or tearing, and pencil underlining of text, but this is minimal. No highlighting of text, no writing in the margins, and no missing pages. See the seller’s listing for full details and description of any imperfections.
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eBay item number:285116877851
Item specifics
- Condition
- Book Title
- Data Analysis for Social Science: A Friendly and Practical Introd
- Publication Date
- 2022-11-29
- Pages
- 256
- ISBN
- 9780691199436
About this product
Product Identifiers
Publisher
Princeton University Press
ISBN-10
0691199434
ISBN-13
9780691199436
eBay Product ID (ePID)
15057248432
Product Key Features
Number of Pages
256 Pages
Language
English
Publication Name
Data Analysis for Social Science : a Friendly and Practical Introduction
Publication Year
2022
Subject
Methodology, Research, Databases / Data Mining, Statistics
Type
Textbook
Subject Area
Computers, Social Science
Format
Trade Paperback
Dimensions
Item Height
0.7 in
Item Weight
21.7 Oz
Item Length
10 in
Item Width
8 in
Additional Product Features
Intended Audience
College Audience
LCCN
2022-030106
Dewey Edition
23
Illustrated
Yes
Dewey Decimal
519.5
Synopsis
An ideal textbook for complete beginners--teaches from scratch R, statistics, and the fundamentals of quantitative social science Data Analysis for Social Science provides a friendly introduction to the statistical concepts and programming skills needed to conduct and evaluate social scientific studies. Assuming no prior knowledge of statistics and coding and only minimal knowledge of math, the book teaches the fundamentals of survey research, predictive models, and causal inference while analyzing data from published studies with the statistical program R. It teaches not only how to perform the data analyses but also how to interpret the results and identify the analyses' strengths and limitations. Progresses by teaching how to solve one kind of problem after another, bringing in methods as needed. It teaches, in this order, how to (1) estimate causal effects with randomized experiments, (2) visualize and summarize data, (3) infer population characteristics, (4) predict outcomes, (5) estimate causal effects with observational data, and (6) generalize from sample to population. Flips the script of traditional statistics textbooks. It starts by estimating causal effects with randomized experiments and postpones any discussion of probability and statistical inference until the final chapters. This unconventional order engages students by demonstrating from the very beginning how data analysis can be used to answer interesting questions, while reserving more abstract, complex concepts for later chapters. Provides a step-by-step guide to analyzing real-world data using the powerful, open-source statistical program R, which is free for everyone to use. The datasets are provided on the book's website so that readers can learn how to analyze data by following along with the exercises in the book on their own computer. Assumes no prior knowledge of statistics or coding. Specifically designed to accommodate students with a variety of math backgrounds. It includes supplemental materials for students with minimal knowledge of math and clearly identifies sections with more advanced material so that readers can skip them if they so choose. Provides cheatsheets of statistical concepts and R code. Comes with instructor materials (upon request), including sample syllabi, lecture slides, and additional replication-style exercises with solutions and with the real-world datasets analyzed. 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.
LC Classification Number
HA29.L835339 2023
Item description from the seller
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- a***e- Feedback left by buyer.Past monthVerified purchaseProfessional Seller; Wide Inventory Selection; Competitive Prices; Great Communication; FAST Ship; Item Safely & Well-Packaged; Item Accurately Described in Listing; Item of High Quality and in Mint Condition; Appearance of Item is Great! Highly Recommended; Hope to Do Business with Again! Thank You Very Much!
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- a***a (346)- Feedback left by buyer.Past 6 monthsVerified purchaseThis hardback book is of the highest quality, has a fine appearance , arrived in perfect condition, and is an excellent value. On what I was not asked about this time, communicating with the seller would have required using email outside of the eBay system, because they do not accept eBay messages, the book was well packed in a purpose-designed cardboard box, the shipping was faster than I expected for the bound media rate, and the book was exactly as described and pictured.Tameshigiri - The History and Development of Japanese Sword Testing by Sesko (#282906424466)
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