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Handbook of International Large-Scale Assessment (Background, Technical Issues, and Methods of Data Analysis)

List Price: $65.99
SKU:
9781032477435
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  • Product Details

    Author:
    Leslie Rutkowski, Matthias von Davier, David Rutkowski
    Format:
    Paperback
    Pages:
    648
    Publisher:
    CRC Press (January 21, 2023)
    Language:
    English
    ISBN-13:
    9781032477435
    Weight:
    41oz
    Dimensions:
    6.125" x 9.1875"
    File:
    TAYLORFRANCIS-TayFran_260113055421006-20260113.xml
    Folder:
    TAYLORFRANCIS
    List Price:
    $65.99
    Series:
    Chapman & Hall/CRC Statistics in the Social and Behavioral Sciences
    As low as:
    $62.69
    Publisher Identifier:
    P-CRC
    Discount Code:
    H
    Country of Origin:
    United States
    Pub Discount:
    30
    Case Pack:
    1
    Imprint:
    Chapman and Hall/CRC
  • Overview

    Winner of the 2017 AERA Division D Significant Contribution to Educational Measurement and Research Methodology Award!



    Technological and statistical advances, along with a strong interest in gathering more information about the state of our educational systems, have made it possible to assess more students, in more countries, more often, and in more subject domains. The Handbook of International Large-Scale Assessment: Background, Technical Issues, and Methods of Data Analysis brings together recognized scholars in the field of ILSA, behavioral statistics, and policy to develop a detailed guide that goes beyond database user manuals.



    After highlighting the importance of ILSA data to policy and research, the book reviews methodological aspects and features of the studies based on operational considerations, analytics, and reporting. The book then describes methods of interest to advanced graduate students, researchers, and policy analysts who have a good grounding in quantitative methods, but who are not necessarily quantitative methodologists. In addition, it provides a detailed exposition of the technical details behind these assessments, including the test design, the sampling framework, and estimation methods, with a focus on how these issues impact analysis choices.