Learning Resource and Development

Statistical approaches to casual analysis / (Record no. 28360)

MARC details
000 -LEADER
fixed length control field 01885nam a2200337 i 4500
003 - CONTROL NUMBER IDENTIFIER
control field CSPC
005 - DATE AND TIME OF LATEST TRANSACTION
control field 20250902163739.0
008 - FIXED-LENGTH DATA ELEMENTS--GENERAL INFORMATION
fixed length control field 241009s2021 caua b 001 0 eng d
020 ## - INTERNATIONAL STANDARD BOOK NUMBER
International Standard Book Number 9781526424730
040 ## - CATALOGING SOURCE
Transcribing agency CSPC
Original cataloging agency CSPC
Language of cataloging eng
Description conventions rda
050 04 - LIBRARY OF CONGRESS CALL NUMBER
Classification number HA29
Item number .M4384 2021
082 #4 - DEWEY DECIMAL CLASSIFICATION NUMBER
Classification number 519.53
Item number M459s
Edition number 23
100 1# - MAIN ENTRY--PERSONAL NAME
Personal name Mcbee, Matthew,
Relator term author.
245 10 - TITLE STATEMENT
Title Statistical approaches to casual analysis /
Statement of responsibility, etc. Matthew Mcbee.
264 #1 - PRODUCTION, PUBLICATION, DISTRIBUTION, MANUFACTURE, AND COPYRIGHT NOTICE
Place of production, publication, distribution, manufacture Los Angeles :
Name of producer, publisher, distributor, manufacturer SAGE,
Date of production, publication, distribution, manufacture, or copyright notice 2021.
300 ## - PHYSICAL DESCRIPTION
Extent xi, 234 pages :
Other physical details illustrations ;
Dimensions 24 cm.
336 ## - CONTENT TYPE
Content type term text
Source rdacontent
337 ## - MEDIA TYPE
Media type term unmediated
Source rdamedia
338 ## - CARRIER TYPE
Carrier type term volume
Source rdacarrier
490 0# - SERIES STATEMENT
Series statement The Sage quantitative research kit
504 ## - BIBLIOGRAPHY, ETC. NOTE
Bibliography, etc. note Includes bibliographical references and index.
505 0# - FORMATTED CONTENTS NOTE
Formatted contents note Introduction -- Conditioning -- Directed acyclic graphs -- Rubin's causal model and the propensity score -- Propensity score analysis -- Instrumental variable analysis -- Regression discontinuity design -- Conclusion.
520 ## - SUMMARY, ETC.
Summary, etc. "A practical, up-to-date, step-by-step and accessible introduction to causal inference in quantitative research. Featuring worked example datasets throughout, it clearly outlines the steps involve in carrying out various types of statistical causal analysis. Matthew McBee evaluates the issue of causal inference in quantitative research, while providing guidance on how to apply these analyses to data, discussing key concepts such as: directed acyclic graphs (DAGs), Rubin’s Causal Model (RCM), Propensity Score Analysis, and Regression Discontinuity Design."
650 #0 - SUBJECT ADDED ENTRY--TOPICAL TERM
Topical term or geographic name entry element Causation.
650 #0 - SUBJECT ADDED ENTRY--TOPICAL TERM
Topical term or geographic name entry element Causation
General subdivision Statistical methods.
650 #0 - SUBJECT ADDED ENTRY--TOPICAL TERM
Topical term or geographic name entry element Casual inference.
650 #0 - SUBJECT ADDED ENTRY--TOPICAL TERM
Topical term or geographic name entry element Statistical methods.
650 #0 - SUBJECT ADDED ENTRY--TOPICAL TERM
Topical term or geographic name entry element Statistics.
942 ## - ADDED ENTRY ELEMENTS (KOHA)
Source of classification or shelving scheme Dewey Decimal Classification
Suppress in OPAC No
Edition 23
Koha item type Books
Classification part 519.53
Call number prefix GRD
Call number suffix 2021
Holdings
Withdrawn status Lost status Source of classification or shelving scheme Damaged status Not for loan Home library Current library Shelving location Date acquired Total Checkouts Full call number Barcode Date last seen Copy number Price effective from Koha item type
    Dewey Decimal Classification     Main Library Main Library Graduate School Library 10/09/2024   GRD 519.53 M459s 2021 028399 10/09/2024 1-2 10/09/2024 Books
    Dewey Decimal Classification     Main Library Main Library Graduate School Library 09/02/2025   GRD 519.53 M459s 2021 030247 09/02/2025 2-2 09/02/2025 Books