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Lopes, João A.; Gomes, Cristina; Oliveira, Célia R.; Elliott, Julian G. – European Journal of Special Needs Education, 2020
Dyslexia is a term widely used to describe reading characterised by problems with the fluent and accurate letter or word recognition. Nevertheless, there is no consensus about the definition, origin, and diagnosis of dyslexia and the term is often used very differently by researchers and practitioners. In many cases, research findings are employed…
Descriptors: Dyslexia, Reading Difficulties, Research, Sampling
Adelson, Jill L.; Kelcey, Benjamin – Journal of Advanced Academics, 2016
In this commentary of "Evaluating the Gifted Program of an Urban School District Using a Modified Regression Discontinuity Design" by Davis, Engberg, Epple, Sieg, and Zimmer, we examine the background of the study, critique the methods used, and discuss the results and implications. The study used a fuzzy regression discontinuity design…
Descriptors: Special Education, Gifted, Program Evaluation, Regression (Statistics)
Gillborn, David – Journal of Education Policy, 2016
Crude and dangerous ideas about the genetic heritability of intelligence, and a supposed biological basis for the Black/White achievement gap, are alive and well inside the education policy process but taking new and more subtle forms. Drawing on Critical Race Theory, the paper analyses recent hereditarian writing, in the UK and the USA, and…
Descriptors: Genetics, Intelligence, Intelligence Quotient, Racial Bias
Warne, Russell T.; Godwin, Lindsey R.; Smith, Kyle V. – Journal of Advanced Academics, 2013
Among some gifted education researchers, advocates, and practitioners, it is sometimes believed that there is a larger number of gifted people in the general population than would be predicted from a normal distribution (e.g., Gallagher, 2008; N. M. Robinson, Zigler, & Gallagher, 2000; Silverman, 1995, 2009), a belief that we termed the…
Descriptors: Gifted, Hypothesis Testing, Intelligence Quotient, Statistical Distributions
Barnes, J. C.; Beaver, Kevin M.; Connolly, Eric J.; Schwartz, Joseph A. – International Journal of Behavioral Development, 2016
There has been significant interest in examining the developmental factors that predispose individuals to chronic criminal offending. This body of research has identified some social-environmental risk factors as potentially important. At the same time, the research producing these results has generally failed to employ genetically sensitive…
Descriptors: Crime, Social Influences, Biology, Genetics
Culross, Rita R.; Jolly, Jennifer L.; Winkler, Daniel – Roeper Review, 2013
This article revisits the 1986 Feldhusen, Proctor, and Black recommendations on grade skipping. These recommendations originally appeared as 12 guidelines. In this article, the guidelines are grouped into three general categories: how to screen accelerant candidates, how to engage with the adults in the acceleration process (e.g., teachers,…
Descriptors: Guidelines, Acceleration (Education), School Entrance Age, College Attendance
Wicherts, Jelte M.; Dolan, Conor V.; van der Maas, Han L. J. – Intelligence, 2010
In this rejoinder, we criticize Lynn and Meisenberg's (this issue) methods to estimate the average IQ (in terms of British norms after correction of the Flynn Effect) of the Black population of sub-Saharan Africa. We argue that their review of the literature is unsystematic, as it involves the inconsistent use of rules to determine the…
Descriptors: Socioeconomic Status, Intelligence Quotient, Foreign Countries, Criticism
Reichow, Brian – Journal of Autism and Developmental Disorders, 2012
This paper presents an overview of 5 meta-analyses of early intensive behavioral intervention (EIBI) for young children with autism spectrum disorders (ASDs) published in 2009 and 2010. There were many differences between meta-analyses, leading to different estimates of effect and overall conclusions. The weighted mean effect sizes across…
Descriptors: Intervention, Autism, Young Children, Adjustment (to Environment)
Beraldo, Sergio – Intelligence, 2010
Lynn (2010) suggests that differences in average intelligence explain many of the differences observed across the Italian regions. This paper puts forward a methodological critique to his study, coupling it with an empirical test showing that Lynn's analysis is not sufficiently robust to support its conclusions. (Contains 2 tables.)
Descriptors: Foreign Countries, Research Methodology, Research Problems, Intelligence
Lynn, Richard – Intelligence, 2010
Beraldo (2010) and Cornoldi, Belacchi, Giofre, Martini, and Tressoldi (2010) (CBGMT) have eight criticisms of my paper (Lynn, 2010) claiming that the large north-south differences in per capita income in Italy are attributable to differences in the average levels of intelligence in the populations. CBGMT give results for seven data sets for IQs in…
Descriptors: Intelligence, Income, Criticism, Foreign Countries
Thompson, Bruce – Middle Grades Research Journal, 2009
The present article provides a primer on using effect sizes in research. A small heuristic data set is used in order to make the discussion concrete. Additionally, various admonitions for best practice in reporting and interpreting effect sizes are presented. Among these is the admonition to not use Cohen's benchmarks for "small," "medium," and…
Descriptors: Educational Research, Effect Size, Computation, Research Methodology
Cornoldi, Cesare; Belacchi, Carmen; Giofre, David; Martini, Angela; Tressoldi, Patrizio – Intelligence, 2010
Working with data from the PISA study (OECD, 2007), Lynn (2010) has argued that individuals from South Italy average an IQ approximately 10 points lower than individuals from North Italy, and has gone on to put forward a series of conclusions on the relationship between average IQ, latitude, average stature, income, etc. The present paper…
Descriptors: Foreign Countries, Intelligence Quotient, Intelligence Differences, Research Methodology
Gelade, Garry A. – Intelligence, 2008
This paper examines the distribution of national IQ in geographical space. When the heritability of IQ and its dependence on eco-social factors are considered from a global perspective, they suggest that the IQs of neighboring countries should be similar. Using previously published IQ data for 113 nations (Lynn, R., & Vanhanen, T., (2006). IQ and…
Descriptors: Global Approach, Intelligence Quotient, Geographic Location, Socioeconomic Influences
Black, Sandra E.; Devereux, Paul J.; Salvanes, Kjell G. – National Bureau of Economic Research, 2008
Does it matter when a child starts school? While the popular press seems to suggest it does, there is limited evidence of a long-run effect of school starting age on student outcomes. This paper uses data on the population of Norway to examine the role of school starting age on longer-run outcomes such as IQ scores at age 18, educational…
Descriptors: Educational Attainment, Pregnancy, Labor Market, Intelligence Quotient

Rodgers, Joseph L. – Intelligence, 1998
Reviews and evaluates the Flynn Effect (Flynn, 1984, 1987), the existence of massive IQ gains in the United States from 1932 to 1978. Although the acceptance of the Flynn Effect has been too quick, it appears that there is more than just methodological artifact to be explained. (SLD)
Descriptors: Ability, Achievement Gains, Intelligence Quotient, Research Methodology