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Data Analysis for Social Science: A Friendly and Practical Introduction: Used
US $30.61
ApproximatelyC $42.09
Condition:
Good
A book that has been read but is in good condition. Very minimal damage to the cover including scuff marks, but no holes or tears. The dust jacket for hard covers may not be included. Binding has minimal wear. The majority of pages are undamaged with minimal creasing or tearing, minimal pencil underlining of text, no highlighting of text, no writing in margins. No missing pages. See the seller’s listing for full details and description of any imperfections.
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Located in: Sparks, Nevada, United States
Delivery:
Estimated between Fri, Sep 5 and Thu, Sep 11 to 94104
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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
Publication Name
Data Analysis for Social Science : a Friendly and Practical Introduction
Language
English
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
Seller feedback (517,225)
- e***n (390)- Feedback left by buyer.Past monthVerified purchaseGreat transaction, exactly as described, packed well, and promptly shipped on August 6th. Unfortunately the U.S. Postal Service took 23 calendar days to deliver the book. It was shipped from Pennsylvania, to Atlanta, past Alabama to Texas, enjoyed several days in Texas, then to Minneapolis, Jacksonville, Florida, back to Atlanta, finally to Birmingham, and Huntsville. The seller was very responsive and I decided it was interesting to see if/how the book would arrive. Thanks, Joe
- m***m (2325)- Feedback left by buyer.Past 6 monthsVerified purchaseI’m thrilled with my recent purchase . The website was user-friendly, and the product descriptions were accurate. Customer service was prompt and helpful, answering all my questions. My order arrived quickly, well-packaged, and the product exceeded my expectations in quality. I’m impressed with the attention to detail and the overall experience. I’ll definitely shop here again and highly recommend from this seller to others. Thank you for a fantastic experience!Tobin's Spirit Guide: Official Ghostbusters Edition by Erik Burnham: Used (#404302598631)
- _***b (56)- Feedback left by buyer.Past monthVerified purchaseI gave 5 stars on shipping because i sent 2 separate emails + they responded with helpful info, even though it arrived late. This was a great value with free shipping + the condition is very good, better than advertised 🙂! The overall quality and appearance is excellent! I highly recommend this seller and give them 👍👍👍👍
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