An ideal textbook for complete beginners--teaches from scratch R, statistics, and the fundamentals of quantitative social science Data Analysis for Social ...
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-ISBN-10:
0691199434
ISBN-13:
9780691199436
Publisher
Princeton University Press
Dimensions
9.90 X 8.00 X 0.90 inches
Language
English
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.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.
ISBN-10
:0691199434
ISBN-13
:9780691199436
Publisher
:Princeton University Press
Publication date
: 29 Nov, 2022
Category
Sub-Category
Format
:PAPERBACK
Language
:English
Reading Level
: All
No. of Units
:1
Dimension
: 9.90 X 8.00 X 0.90 inches
Weight
:612 g
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