NotesFAQContact Us
Collection
Advanced
Search Tips
Publication Date
In 20250
Since 20240
Since 2021 (last 5 years)0
Since 2016 (last 10 years)0
Since 2006 (last 20 years)42
Source
Intelligence82
Audience
Laws, Policies, & Programs
What Works Clearinghouse Rating
Showing 1 to 15 of 82 results Save | Export
Peer reviewed Peer reviewed
Direct linkDirect link
Ghisletta, Paolo; Rabbitt, Patrick; Lunn, Mary; Lindenberger, Ulman – Intelligence, 2012
Many aspects of cognition decline from middle to late adulthood, but the dimensionality and generality of this decline have rarely been examined. We analyzed 20-year longitudinal data of 6203 middle-aged to very old adults from Greater Manchester and Newcastle-upon-Tyne, UK. Participants were assessed up to eight times on 20 tasks of fluid…
Descriptors: Intelligence, Individual Differences, Memory, Foreign Countries
Peer reviewed Peer reviewed
Direct linkDirect link
Rindermann, Heiner; te Nijenhuis, Jan – Intelligence, 2012
A high-quality estimate of the mean IQ of a country requires giving a well-validated test to a nationally representative sample, which usually is not feasible in developing countries. So, we used a convenience sample and four corrections based on theory and empirical findings to arrive at a good-quality estimate of the mean IQ in Bali. Our study…
Descriptors: Social Class, Student Attitudes, Attendance, Intelligence Quotient
Peer reviewed Peer reviewed
Direct linkDirect link
Kagitcibasi, Cigdem; Biricik, Duygu – Intelligence, 2011
In 1977 Draw-a-Person test was administered to fifth grade school children in a city and its surrounding rural villages in Turkey. In 2010, more than thirty years later, the test was administered again to a corresponding group of fifth grade children in the same locations. It is rare that we get scores from the "same" population over a…
Descriptors: Foreign Countries, Intelligence Tests, Intelligence Quotient, Grade 5
Peer reviewed Peer reviewed
Direct linkDirect link
Cornoldi, Cesare; Giofre, David; Martini, Angela – Intelligence, 2013
Recent results of international assessment programs (e.g., PISA) have shown a large difference in high school students' performance between northern and southern Italy. On this basis, it has been argued that the discrepancy reflects differences in average intelligence of the inhabitants of regions and is associated with genetic factors ( and ).…
Descriptors: Intelligence, Age Differences, Foreign Countries, Inferences
Peer reviewed Peer reviewed
Direct linkDirect link
Sundet, Jon Martin; Eriksen, Willy; Borren, Ingrid; Tambs, Kristian – Intelligence, 2010
The aim of the study was to investigate the relationship between the Flynn effect and the effects of age differences between siblings on the intelligence difference between them. In Norway, the secular trends in intelligence-test score means vary both in magnitude and direction. We identified three periods: one period where the mean intelligence…
Descriptors: Intelligence, Siblings, Intelligence Quotient, Birth Order
Peer reviewed Peer reviewed
Direct linkDirect link
Flores-Mendoza, Carmen; Widaman, Keith F.; Rindermann, Heiner; Primi, Ricardo; Mansur-Alves, Marcela; Pena, Carla Couto – Intelligence, 2013
Sex differences on the Attention Test (AC), the Raven's Standard Progressive Matrices (SPM), and the Brazilian Cognitive Battery (BPR5), were investigated using four large samples (total N=6780), residing in the states of Minas Gerais and Sao Paulo. The majority of samples used, which were obtained from educational settings, could be considered a…
Descriptors: Factor Analysis, Gender Differences, Foreign Countries, Task Analysis
Peer reviewed Peer reviewed
Direct linkDirect link
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
Peer reviewed Peer reviewed
Direct linkDirect link
Rindermann, Heiner; Woodley, Michael A.; Stratford, James – Intelligence, 2012
Studies investigating evolutionary theories on the origins of national differences in intelligence have been criticized on the basis that both national cognitive ability measures and supposedly evolutionarily informative proxies (such as latitude and climate) are confounded with general developmental status. In this study 14 Y chromosomal…
Descriptors: Intelligence, Foreign Countries, Cognitive Ability, Measures (Individuals)
Peer reviewed Peer reviewed
Direct linkDirect link
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
Peer reviewed Peer reviewed
Direct linkDirect link
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
Peer reviewed Peer reviewed
Direct linkDirect link
von Stumm, Sophie – Intelligence, 2012
The current study tests if the type of children's daily main meal (slow versus fast food) mediates the association of socioeconomic status (SES) with cognitive ability and cognitive growth in childhood. A Scottish birth cohort (Growing Up in Scotland) was assessed at ages 3 (N = 4512) and 5 years (N = 3833) on cognitive ability (i.e. vocabulary…
Descriptors: Cognitive Ability, Food, Foreign Countries, Effect Size
Peer reviewed Peer reviewed
Direct linkDirect link
Hill, David; Saville, Christopher W. N.; Kiely, Siobhan; Roberts, Mark V.; Boehm, Stephan G.; Haenschel, Corinna; Klein, Christoph – Intelligence, 2011
The concept of general intelligence ("g") summarizes the well established finding that scores on separate cognitive tasks are positively correlated, indicating a trait common to many aspects of information processing. Inspection time is a well-established correlate of IQ, where those of a higher IQ can correctly identify a briefly…
Descriptors: Intelligence Quotient, Undergraduate Students, Time, Cognitive Tests
Peer reviewed Peer reviewed
Direct linkDirect link
Bratko, Denis; Butkovic, Ana; Vukasovic, Tena; Chamorro-Premuzic, Tomas; von Stumm, Sophie – Intelligence, 2012
Self-perceived abilities (SPA), which play an important role in academic achievement, have been recently reported to be fully attributable to genetic and non-shared environmental influences. To replicate and extend this finding, 732 Croatian twins (15-22 years old) were assessed on cognitive ability, self-assessed intelligence (SAI), and Five…
Descriptors: Cognitive Ability, Intelligence, Personality Traits, Self Concept
Peer reviewed Peer reviewed
Direct linkDirect link
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
Peer reviewed Peer reviewed
Direct linkDirect link
Madhyastha, Tara M.; Hunt, Earl; Deary, Ian J.; Gale, Catharine R.; Dykiert, Dominika – Intelligence, 2009
In longitudinal studies data is collected in a series of waves. Each wave after the first suffers from attrition. Therefore it can be difficult to discriminate between changes in sample parameters due to a longitudinal process (e.g. ageing) and changes due to attrition. The problem is particularly vexing if one of the purposes is to compare…
Descriptors: Intelligence, Mathematical Models, National Surveys, Longitudinal Studies
Previous Page | Next Page ยป
Pages: 1  |  2  |  3  |  4  |  5  |  6