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Hopkins, Thomas; Clegg, Judy; Stackhouse, Joy – International Journal of Language & Communication Disorders, 2018
Background: A high prevalence of Developmental Language Disorder (DLD) is reported in the population of Young Offenders (YO). However, little is known about the extent of the association between language and offending behaviour relative to social disadvantage, education attendance and non-verbal intelligence (IQ), and neither has this association…
Descriptors: Disadvantaged Youth, Delinquency, Juvenile Justice, Expository Writing
Paek, Sue Hyeon; Abdulla, Ahmed M.; Cramond, Bonnie – Gifted Child Quarterly, 2016
There is a long-standing controversy over the relationship between psychopathology and creativity. Yet there is a lack of evidence regarding the relationship between common psychopathologies and indicators of little-c, or every day, creativity among laypeople. To make sense of this connection, we conducted a meta-analysis using 89 studies to…
Descriptors: Meta Analysis, Psychopathology, Attention Deficit Hyperactivity Disorder, Anxiety Disorders
Lynn, Richard – Intelligence, 2012
National IQs and measures of technological development given by Comin, Easterly and Gong (2010) are presented for 133 nations for the year 1000 BC, for 134 nations for 0 AD, for 120 nations for 1500 AD and for 133 nations for 2000 AD. It is shown that national IQs are significantly correlated with national differences in technological development…
Descriptors: Technological Advancement, Intelligence Quotient, Prediction, Correlation
Templer, Donald I. – Intelligence, 2012
The present study was intended to provide perspective, albeit less than unequivocal, on the research of Lynn (2010) who reported higher IQs in the northern than southern Italian regions. He attributes this to northern Italians having a greater genetic similarity to middle Europeans and southern Italians to Mediterranean people. Higher regional IQ…
Descriptors: Multiple Intelligences, Schizophrenia, Intelligence Quotient, Genetics
Dodonov, Yury S.; Dodonova, Yulia A. – Intelligence, 2012
In the present study, speeded tasks with differing assumed difficulties of the trials are regarded as a special class of simple cognitive tasks. Exploratory latent growth modeling with data-driven shape of a growth curve and nonlinear structured latent curve modeling with predetermined monotonically increasing functions were used to analyze…
Descriptors: Intelligence, Intervals, Reaction Time, Cognitive Ability
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
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
Brunner, Martin – Learning and Individual Differences, 2008
This study investigates the relationships of domain-general cognitive abilities and domain-specific verbal and mathematical abilities to students' educational characteristics when two theoretically grounded, but competing structural models are applied. In the standard model, a single latent ability causes interindividual differences in the…
Descriptors: Educational Research, Academic Achievement, Cognitive Development, Cognitive Ability
Lopez, Lorna M.; Mullen, William; Zurbig, Petra; Harris, Sarah E.; Gow, Alan J.; Starr, John M.; Porteous, David J.; Mischak, Harald; Deary, Ian J. – Intelligence, 2011
Intelligence is an important indicator of physical, mental and social well-being. In old age, intelligence is also associated with a higher quality of life and better health. Heritability studies have shown that there are strong genetic influences, yet unknown, on intelligence, including in old age. Other approaches may be useful to investigate…
Descriptors: Intelligence, Form Classes (Languages), Alzheimers Disease, Quality of Life
Chamorro-Premuzic, Tomas; Arteche, Adriane – Intelligence, 2008
The present study provides a preliminary empirical test of [Chamorro-Premuzic, T., & Furnham, A. (2004). A possible model to understand the personality-intelligence interface. "British Journal of Psychology," 95, 249-264], [Chamorro-Premuzic, T., & Furnham, A. (2006a). Intellectual competence and the intelligent personality: A…
Descriptors: Intelligence, Academic Achievement, Models, Validity
Peer reviewedSimpson, Robert G.; And Others – Educational and Psychological Measurement, 1984
The purpose of this study was to investigate the relationship between auditory discrimination, as measured by the Wepman Auditory Discrimination Test, and reading achievement, as measured by the Woodcock Reading Mastery Tests. After controlling for intelligence, there was little more than a random relationship between auditory discrimination and…
Descriptors: Adolescents, Age Differences, Auditory Discrimination, Correlation
Peer reviewedStrauch, A. Barry – Journal of Educational Psychology, 1977
Three data sources, analyzed presently, failed to reveal a Sex by Race or Sex by Socioeconomic Status interaction. It was suggested that Sex by Race differences in income, education, and so on could be the result of racially related sex role expectations or cultural prejudice. (Author/MV)
Descriptors: Cognitive Ability, Cognitive Measurement, Correlation, Elementary Secondary Education
Harris, Dale B.; Pinder, Glenn D. – 1977
The results of a modified version of the Goodenough-Harris Drawing Test are presented in relation to selected demographic and socioeconomic factors as they affect youths aged 12-17 years in the noninstitutionalized population of the United States. Findings are based on data gathered on a sample of 6,768 adolescents who participated in the Health…
Descriptors: Academic Achievement, Adolescents, Age Differences, Correlation
Peer reviewedHumphreys, Lloyd G. – Intelligence, 1978
In studies of the relationship between masculinity-femininity and intelligence, data should be analyzed using correlational analysis for the complete distribution, rather than analysis of variance of extreme groups. The earlier work of Baucom and Welsh (EJ 171 822) was used as illustration. (BW)
Descriptors: Analysis of Variance, Correlation, Femininity, Higher Education
Peer reviewedBaucom, Donald H.; Welsh, George S. – Intelligence, 1978
Humphreys' criticisms (TM 503 269) of the work of Welsh and Baucom (EJ 171 822) are inappropriate since his findings are based upon a different measure of masculinity-femininity and a population which is somewhat different. Also, his insistence on correlational analysis to the exclusion of extreme group design is viewed as inappropriately…
Descriptors: Analysis of Variance, Correlation, Femininity, Higher Education

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