Quantitative social science data with R: (Record no. 7657)

MARC details
000 -LEADER
fixed length control field 02308nam a22002177a 4500
005 - DATE AND TIME OF LATEST TRANSACTION
control field 20241201142343.0
008 - FIXED-LENGTH DATA ELEMENTS--GENERAL INFORMATION
fixed length control field 241201b |||||||| |||| 00| 0 eng d
020 ## - INTERNATIONAL STANDARD BOOK NUMBER
International Standard Book Number 9781529790450
082 ## - DEWEY DECIMAL CLASSIFICATION NUMBER
Classification number 001.4202855133
Item number FOG
100 ## - MAIN ENTRY--PERSONAL NAME
Personal name Fogarty, Brian J
245 ## - TITLE STATEMENT
Title Quantitative social science data with R:
Remainder of title an introduction
250 ## - EDITION STATEMENT
Edition statement 2nd
260 ## - PUBLICATION, DISTRIBUTION, ETC. (IMPRINT)
Name of publisher, distributor, etc. Sage Publication Ltd
Place of publication, distribution, etc. Los Angeles
Date of publication, distribution, etc. 2023
300 ## - PHYSICAL DESCRIPTION
Extent x, 390 p.
365 ## - TRADE PRICE
Price type code GBP
Price amount 38.99
500 ## - GENERAL NOTE
General note Table of content:<br/>Introduction Introduction To R And R Studio Finding Data Data Management Variables And Manipulation Developing Hypotheses Univariate And Descriptive Statistics Data Visualisation Hypothesis Testing Bivariate Analysis Linear Regression And Model Building OLS Assumptions And Diagnostic Testing Generalised Linear Models Count Models Putting It All Together<br/>[https://in.sagepub.com/en-in/sas/quantitative-social-science-data-with-r/book278486#contents]
520 ## - SUMMARY, ETC.
Summary, etc. Relevant, engaging, and packed with student-focused learning features, this book provides the basic step-by-step introduction to quantitative research and data every student needs.<br/><br/>Gradually introducing applied statistics and the language and functionality of R and R Studio software, it uses examples from across the social sciences to show students how to apply abstract statistical and methodological principles to their own work. Maintaining a student-friendly pace, it goes beyond a normal introductory statistics book and shows students where data originates and how to:<br/><br/>- Understand and use quantitative data to answer questions<br/><br/>- Approach surrounding ethical issues<br/><br/>- Collect quantitative data<br/><br/>- Manage, write about, and share the data effectively<br/><br/>Supported by incredible digital resources with online tutorials, videos, datasets, and multiple choice questions, this book gives students not only the tools they need to understand statistics, quantitative data, and R software, but also the chance to practice and apply what they have learned. <br/>(https://in.sagepub.com/en-in/sas/quantitative-social-science-data-with-r/book278486)
650 ## - SUBJECT ADDED ENTRY--TOPICAL TERM
Topical term or geographic name as entry element Quantitative research--Data processing
650 ## - SUBJECT ADDED ENTRY--TOPICAL TERM
Topical term or geographic name as entry element Computer program language--R
942 ## - ADDED ENTRY ELEMENTS (KOHA)
Koha item type Book
Source of classification or shelving scheme Dewey Decimal Classification
Holdings
Withdrawn status Lost status Source of classification or shelving scheme Damaged status Not for loan Collection code Bill No Bill Date Home library Current library Shelving location Date acquired Source of acquisition Cost, normal purchase price Total Checkouts Full call number Accession Number Date last seen Copy number Cost, replacement price Price effective from Koha item type
    Dewey Decimal Classification     Operations Management & Quantitative Techniques 1182328 28-11-2024 Indian Institute of Management LRC Indian Institute of Management LRC General Stacks 12/02/2024 Atlantic Publishers & Distributors 2929.71   001.4202855133 FOG 006706 12/02/2024 1 4507.24 12/02/2024 Book

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