Handbook of International Large-Scale Assessment

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Advanced Analytic Methods for Analyzing International Large-Scale Assessment Data
advanced statistical modeling in education
background
Bib Design
Bifactor Model
Category=JMBT
Category=JNM
Category=PBT
Causal Mediation Analysis
data
educational measurement
Eighth Grade Assessment
eq_bestseller
eq_isMigrated=1
eq_isMigrated=2
eq_nobargain
eq_non-fiction
eq_society-politics
Estimated Item Parameters
IEA Study
ILSA Data
imputation
Imputation Model
International Large Scale Assessment
International Large Scale Assessment Data
International Large-Scale Assessments: From Research to Policy
item
Item Parameters
Item Response Theory Models
Large Scale Assessment Data
Large Scale Assessments
Latent Regression Model
missing
Missing Data
Modeling Country-Specific Differential Item Functioning
Multilevel Analysis of Assessment Data
multiple
Multiple Imputation
Nonresponse Adjustment
parameter
Pirl Data
policy analysis in education
Policy and Research Relevance of International Large-Scale Assessment Data
psychometrics
quantitative research methods
questionnaires
Replicate Weights
response
sampling techniques
Senate Weights
Ta Ge
TEDS
test validation
theory
Tr Ue
Von Davier

Product details

  • ISBN 9781032477435
  • Weight: 1160g
  • Dimensions: 156 x 234mm
  • Publication Date: 21 Jan 2023
  • Publisher: Taylor & Francis Ltd
  • Publication City/Country: GB
  • Product Form: Paperback
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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.

Leslie Rutkowski, Matthias von Davier, David Rutkowski