In the Handbook of Understanding and Measuring Intelligence distinguished scholars Oliver Wilhelm and Randall W. Engle have assembled a group of respected experts from two fields of intelligence research--cognition and methods--to summarize, review, and evaluate research in their areas of expertise. Each chapter presents the state-of-the-art in a particular domain of intelligence research, illustrating and highlighting important methodological considerations, theoretical claims, and pervasive problems in the field.

Cultural intelligence is defined as an individual's ability to function effectively in situations characterized by cultural diversity. With contributions from eminent scholars worldwide, the "Handbook of Cultural Intelligence" is a 'state-of-the-science' summary of the body of knowledge about cultural intelligence and its relevance for managing diversity both within and across cultures. Because cultural intelligence capabilities can be enhanced through education and experience, this handbook emphasizes individual capabilities - specific characteristics that allow people to function effectively in culturally diverse settings - rather than the approach used by more traditional books of describing and comparing cultures based on national cultural norms, beliefs, habits, and practices.The Handbook covers conceptional and definitional issues, assessment approaches, and application of cultural intelligence in the domains of international and cross-cultural management as well as management of domestic activity. It is an invaluable resource that will stimulate and guide future research on this important topic and its application across a broad range of disciplines, including management, organizational behavior, industrial and organizational psychology, intercultural communication, and more.

"At last - a book that is comprehensive, balanced and sensitive in its approach to the intellectual assessment of minority children. This book will quickly become a standard text in courses on assessment and diversity." --Jonathan Sandoval, University of California, Davis "Congratulations to Richard Valencia and Lisa Suzuki for producing a long overdue, comprehensive and balanced treatment of cognitive assessment for minority children. This volume should prove to be a great value for practitioners and researchers alike." --Terry Gutkin, University of Nebraska-Lincoln "I believe that Intelligence Testing and Minority Students is absolutely outstanding. Valencia and Suzuki demonstrate unusually rich research-based, theoretical, practical, and clinical foundations for treating the important and thorough set of topics covered by the book. Their underlying compassion is also evident throughout the book. I recommend this book to everyone in the field of assessment; it is "must" reading for anyone who tests minority students." --Alan S. Kaufman, Yale University School of Medicine "This book should be required reading for those who work in this field either in a research or clinical capacity, but is especially important for those who have reservations about the use of standardized tests for intellectual assessment. It is a highly valuable reference." --Robert Rueda, University of Southern California "This is a very rich resource on the history of "intelligence" testing and it′s application to diverse ethnic groups. Theoretical and applied topics are well integrated in the discussions. Most important is the inclusion of the record of white supremacy ideology, the issues of cultural salience in measurement, and the issues of usage. I know of no other reference on this topic that is as comprehensive as is this one." --Asa G. Hilliard III, Georgia State University What roles do socioeconomic status, home intellectual environment, test bias, and heredity play in explaining measured intellectual performance between and within racial/ethnic groups? Intelligence Testing and Minority Students provides a fresh opportunity to reexamine the construct of intelligence, as well as its strengths and weaknesses. Viewed as a psychometric tour de force, this work provides a concrete argument for prioritizing the nation′s testing needs as well as the multicultural perspectives of intelligence. Psychometricians and practitioners alike will find this book to be a useful reference in understanding assessment tests and their relationship with minority students. With the rising necessity for better and more comprehensive testing, it has become of the utmost of importance to respond fairly and validly to the diversity of this nation′s citizens. The authors have acknowledged this need by including a thorough discussion of cognitive testing issues as well as an exploration of future movements. From the historical views of testing to the future direction of nondiscriminatory assessment, no professional should be without this must-have reference. About the Authors: Richard R. Valencia, Ph.D. is Professor in the Department of Educational Psychology, College of Education, at The University of Texas at Austin. Dr. Valencia′s research and scholarly interests include the intellectual and academic development of racial/ethnic minority students′ historical, social, and psychological status. Lisa A. Suzuki, Ph.D. is Assistant Professor in the Department of Applied Psychology, School of Education, at New York University. Dr. Suzuki previously worked as a school counselor and psychological examiner for the Department of Education in the state of Hawaii. Over the years, she has administered over 300 intelligence tests to diverse populations. Her observations sparked an interest in pursuing a greater understanding of the cognitive abilities and intelligence of diverse racial/ethnic populations.

There can be no denying the enduring appeal of IQ over the last century. It is probably one of the most misunderstood yet highly researched psychological constructs ever. Such has been the controversy surrounding this topic that it is difficult to distinguish fact from fiction. Intelligence and Intelligence Testing is a text that aims to address that.

This book explores intelligence testing in the US through the career of Henry Herbert Goddard.

In An Introduction to Psychological Assessment and Psychometrics, Keith Coaley outlines the key ingredients of psychological assessment, providing case studies to illustrate their application, making it an ideal textbook for courses on psychometrics or psychological assessment. New to the Second Edition: Includes occupational and educational settings Covers ethical and professional issues with a strong practical focus Case study material related to work selection settings End of chapter self-assessments to facilitate students’ progress Compliant with the latest BPS Certificate of Testing curriculum

The general theme of this book is to present the applications of artificial intelligence (AI) in test development. In particular, this book includes research and successful examples of using AI technology in automated item generation, automated test assembly, automated scoring, and computerized adaptive testing. By utilizing artificial intelligence, the efficiency of item development, test form construction, test delivery, and scoring could be dramatically increased. Chapters on automated item generation offer different perspectives related to generating a large number of items with controlled psychometric properties including the latest development of using machine learning methods. Automated scoring is illustrated for different types of assessments such as speaking and writing from both methodological aspects and practical considerations. Further, automated test assembly is elaborated for the conventional linear tests from both classical test theory and item response theory perspectives. Item pool design and assembly for the linear-on-the-fly tests elaborates more complications in practice when test security is a big concern. Finally, several chapters focus on computerized adaptive testing (CAT) at either item or module levels. CAT is further illustrated as an effective approach to increasing test-takers’ engagement in testing. In summary, the book includes both theoretical, methodological, and applied research and practices that serve as the foundation for future development. These chapters provide illustrations of efforts to automate the process of test development. While some of these automation processes have become common practices such as automated test assembly, automated scoring, and computerized adaptive testing, some others such as automated item generation calls for more research and exploration. When new AI methods are emerging and evolving, it is expected that researchers can expand and improve the methods for automating different steps in test development to enhance the automation features and practitioners can adopt quality automation procedures to improve assessment practices.