Multidimensional item response theory (Record no. 4162)

MARC details
000 -LEADER
fixed length control field 02083nam a22002537a 4500
005 - DATE AND TIME OF LATEST TRANSACTION
control field 20221013144136.0
008 - FIXED-LENGTH DATA ELEMENTS--GENERAL INFORMATION
fixed length control field 221013b ||||| |||| 00| 0 eng d
020 ## - INTERNATIONAL STANDARD BOOK NUMBER
International Standard Book Number 9781506384252
082 ## - DEWEY DECIMAL CLASSIFICATION NUMBER
Classification number 155.284
Item number BON
100 ## - MAIN ENTRY--PERSONAL NAME
Personal name Bonifay, Wes
245 ## - TITLE STATEMENT
Title Multidimensional item response theory
260 ## - PUBLICATION, DISTRIBUTION, ETC. (IMPRINT)
Name of publisher, distributor, etc. Sage Publications, Inc.
Place of publication, distribution, etc. California
Date of publication, distribution, etc. 2020
300 ## - PHYSICAL DESCRIPTION
Extent xiii, 138 p.
365 ## - TRADE PRICE
Price type code USD
Price amount 30.00
490 ## - SERIES STATEMENT
Series statement Quantitative Applications in the Social Sciences
504 ## - BIBLIOGRAPHY, ETC. NOTE
Bibliography, etc. note Table of content<br/><br/>1. Introduction 2. Unidimensional Item Response Theory 3. MIRT Models for Dichotomous Data 4. MIRT Models for Polytomous Data 5. Descriptive MIRT Statistics 6. Item Factor Structures 7. Estimation in MIRT Models 8. MIRT Model Diagnostics and Evaluation 9. MIRT Applications
520 ## - SUMMARY, ETC.
Summary, etc. Several decades of psychometric research have led to the development of sophisticated models for multidimensional test data, and in recent years, multidimensional item response theory (MIRT) has become a burgeoning topic in psychological and educational measurement. Considered a cutting-edge statistical technique, the methodology underlying MIRT can be complex, and therefore doesn’t receive much attention in introductory IRT courses. However author Wes Bonifay shows how MIRT can be understood and applied by anyone with a firm grounding in unidimensional IRT modeling. His volume includes practical examples and illustrations, along with numerous figures and diagrams. Multidimensional Item Response Theory includes snippets of R code interspersed throughout the text (with the complete R code included on an accompanying website) to guide readers in exploring MIRT models, estimating the model parameters, generating plots, and implementing the various procedures and applications discussed throughout the book.
650 ## - SUBJECT ADDED ENTRY--TOPICAL TERM
Topical term or geographic name as entry element Psychometrics
650 ## - SUBJECT ADDED ENTRY--TOPICAL TERM
Topical term or geographic name as entry element Projective techniques
650 ## - SUBJECT ADDED ENTRY--TOPICAL TERM
Topical term or geographic name as entry element Item response theory
650 ## - SUBJECT ADDED ENTRY--TOPICAL TERM
Topical term or geographic name as entry element Multidimensional scaling
650 ## - SUBJECT ADDED ENTRY--TOPICAL TERM
Topical term or geographic name as entry element Educational tests and measurements
942 ## - ADDED ENTRY ELEMENTS (KOHA)
Source of classification or shelving scheme Dewey Decimal Classification
Koha item type Book
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 IN155 06-10-2022 Indian Institute of Management LRC Indian Institute of Management LRC General Stacks 10/13/2022 Bharatiya Sahitya Bhavana 1631.26   155.284 BON 003332 10/13/2022 1 2481.00 10/13/2022 Book

©2019-2020 Learning Resource Centre, Indian Institute of Management Bodhgaya

Powered by Koha