Data Analysis for Social Science: a friendly and practical introduction (Record no. 1308321)

MARC details
000 -LEADER
fixed length control field 02398nam a2200241 4500
005 - DATE AND TIME OF LATEST TRANSACTION
control field 20250401123444.0
008 - FIXED-LENGTH DATA ELEMENTS--GENERAL INFORMATION
fixed length control field 250401b |||||||| |||| 00| 0 eng d
020 ## - INTERNATIONAL STANDARD BOOK NUMBER
International Standard Book Number 9780691199436
037 ## - SOURCE OF ACQUISITION
Terms of availability Textual
040 ## - CATALOGING SOURCE
Original cataloging agency RTL
Transcribing agency RTL
084 ## - COLON CLASSIFICATION NUMBER
Classification number Y:(D6,9(B) R3
Assigning agency RTL
100 ## - MAIN ENTRY--PERSONAL NAME
Personal name Llaudet, Elena
9 (RLIN) 751663
245 ## - TITLE STATEMENT
Title Data Analysis for Social Science: a friendly and practical introduction
Statement of responsibility, etc. Llaudet, Elena
260 ## - PUBLICATION, DISTRIBUTION, ETC.
Place of publication, distribution, etc. Princeton and Oxford
Name of publisher, distributor, etc. Princeton University Press
Date of publication, distribution, etc. 2023
300 ## - PHYSICAL DESCRIPTION
Extent xii, 238p.
Other physical details Includes index
520 ## - SUMMARY, ETC.
Summary, etc. Data analysis has become a necessary skill across the social sciences, and recent advancements in computing power have made knowledge of programming an essential component. Yet most data science books are intimidating and overwhelming to a non-specialist audience, including most undergraduates. This book will be a shorter, more focused and accessible version of Kosuke Imai's Quantitative Social Science book, which was published by Princeton in 2018 and has been adopted widely in graduate level courses of the same title. This book uses the same innovative approach as Quantitative Social Science , using real data and 'R' to answer a wide range of social science questions. It assumes no prior knowledge of statistics or coding. It starts with straightforward, simple data analysis and culminates with multivariate linear regression models, focusing more on the intuition of how the math works rather than the math itself. The book makes extensive use of data visualizations, diagrams, pictures, cartoons, etc., to help students understand and recall complex concepts, provides an easy to follow, step-by-step template of how to conduct data analysis from beginning to end, and will be accompanied by supplemental materials in the appendix and online for both students and instructors"-- "An ideal textbook for an introductory course on quantitative methods for social scientistsData Analysis for Social Science provides a friendly introduction to the statistical concepts and programming skills needed to conduct and evaluate social scientific studies.
650 ## - SUBJECT ADDED ENTRY--TOPICAL TERM
Topical term or geographic name entry element Social sciences - Data processing
9 (RLIN) 751664
650 ## - SUBJECT ADDED ENTRY--TOPICAL TERM
Topical term or geographic name entry element Computers data analytics
9 (RLIN) 751665
650 ## - SUBJECT ADDED ENTRY--TOPICAL TERM
Topical term or geographic name entry element Statistical mathematics
9 (RLIN) 751666
650 ## - SUBJECT ADDED ENTRY--TOPICAL TERM
Topical term or geographic name entry element Social sciences - Methodology
9 (RLIN) 643438
700 ## - ADDED ENTRY--PERSONAL NAME
Personal name Imai, Kosuke
Relator term Co- author
9 (RLIN) 725581
942 ## - ADDED ENTRY ELEMENTS (KOHA)
Source of classification or shelving scheme Colon Classification (CC)
Suppress in OPAC No
Koha item type Textbook
Classification part Y:(D6,9(B) R3
Holdings
Withdrawn status Lost status Source of classification or shelving scheme Damaged status Not for loan Home library Current library Date acquired Total Checkouts Full call number Barcode Date last seen Price effective from Koha item type
    Colon Classification (CC)     Ratan Tata Library Ratan Tata Library 2025-04-01   Y:(D6,9(B) R3 RT1528422 2025-04-01 2025-04-01 Textbook