Intelligence Quotient

Download or read book Intelligence Quotient written by Joe Kush and published by Nova Science Pub Incorporated. This book was released on 2013-01-01 with total page 211 pages. Available in PDF, EPUB and Kindle. Book excerpt: "Intelligence Quotient: Testing, Role of Genetics and the Environment and Social Outcomes", is an edited collection that examines advances in the study of IQ tests and the variables that influence test performance. The book contains contributions from a number of prominent scholars who are internationally recognized for their expertise in the area of human intelligence. Additionally, the compilation presents a unique combination of theoretical knowledge and practical advice and will be an excellent resource for graduate students, university professors and experienced clinicians. A particular emphasis is given to the role of IQ tests, as part of a diagnostic battery, in the identification of cognitive and psychological disorders. Individual chapters cover a broad range of topics related to IQ including, the underlying structure of contemporary IQ tests, race and genomics, the relationship between IQ and achievement, measures of mental chronometry, evolutionary adaptedness, IQ and dopamine receptor genes, Ashkenazi Jews, assessment practices for gifted children and preschool students, and errors in measurement when assessing intellectual disabilities. Topics are covered in a comprehensive and up-to-date manner, yet accessible to both novice and expert professionals. A working knowledge of psychometric theory is helpful but not necessary. The book avoids any attempt to make a claim regarding exact estimates of the genetic or environmental influences on measures of IQ, fully recognizing the complex interplay between these factors. However, the value of IQ tests in predicting scholastic achievement, diagnosing cognitive diseases, and assessing individual differences is acknowledged and affirmed, when recommendations offered by the authors are implemented within thoughtful and data-supported practices.