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

Leslie Rutkowski (u. a.)

ISBN 10: 1032477431 / ISBN 13: 9781032477435

Published by Taylor & Francis, 2023

About this Item

Handbook of International Large-Scale Assessment | Background, Technical Issues, and Methods of Data Analysis | Leslie Rutkowski (u. a.) | Taschenbuch | Einband - flex.(Paperback) | Englisch | 2023 | Taylor & Francis | EAN 9781032477435 | Verantwortliche Person für die EU: preigu GmbH & Co. KG, Lengericher Landstr. 19, 49078 Osnabrück, mail[at]preigu[dot]de | Anbieter: preigu.

Seller Inventory # 126527316

Bibliographic Details

• Title: Handbook of International Large-Scale Assessment | Background, Technical Issues, and Methods of Data Analysis
• Publisher: Taylor & Francis
• Publication Date: 2023
• Language: English
• ISBN 10: 1032477431
• ISBN 13: 9781032477435
• Binding: Taschenbuch
• Condition: Neu
• Dimensions: 34W x 156H x 234D millimeters 34 millimeters width by 156 millimeters height by 234 millimeters depth
• Weight: 1160 grams
• Seller catalogs:
  • Bücher

About this title

Synopsis

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.

About the Author

Leslie Rutkowski, Matthias von Davier, David Rutkowski