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Product Detail

Essentials of Cross-Battery Assessment
Flanagan, Dawn P. PhD
Essentials of Cross-Battery Assessment Cover Image
Pricing & Availability
Available: 1
List Price:$60.95

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Book Information
Edition: 4th
Publisher: Wiley, John & Sons, Inc.
ISBN: 1-394-23082-6 (1394230826)
ISBN-13: 978-1-394-23082-2 (9781394230822)
Old Edition: 0-470-62195-8
Binding: Softcover
Copyright: 2026
Publish Date: 09/25
Weight: 2.79 Lbs.
Pages: 480
Subject Class: PSY (Psychiatry and Psychology)
Return Policy: Returns accepted up to 12 months provided no other recalls or return restrictions apply.
 
Class Specifications
ISSN Series: Essentials of Psychological Assessment
Discipline: Psychology
Subject Definition: Intelligence Tests
NLM Class: BF 431
LC Class: BF431
Abstract: The Fourth Edition of Essentials of Cross-Battery Assessment and X-BASS delivers a comprehensive scientific update to the XBA framework and its application to SLD identification and nondiscriminatory assessment. This edition incorporates a large-scale meta-analytic database used to program X-BASS 3.0.."spanning hundreds of correlation matrices, thousands of subtest-level coefficients, and data from more than 200,000 examinees.."to provide unprecedented precision in composite estimation, score-cohesion evaluation, and cross-battery interpretive accuracy. Combined with updated CHC classifications and a rigorous re-evaluation of over 1,000 subtests across major cognitive, achievement, language, and neuropsychological batteries, this edition offers the most transparent and defensible cross-battery interpretive system to date. Building on advances in cognitive theory and psychometric analyses, this edition integrates the expanded capabilities of X-BASS 3.0, including updated composite logic, refined score-cohesion rules, and enhanced decision support for evaluating cultural and linguistic influences, domain-specific cognitive strengths and weaknesses, and unexpected underachievement. New case studies illustrate how XBA and X-BASS work together to support accurate, process-focused SLD identification across reading, writing, and math, with step-by-step demonstrations of planning batteries, integrating data, and making defensible interpretations.

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