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Gow, Alan J.; Johnson, Wendy; Mishra, Gita; Richards, Marcus; Kuh, Diana; Deary, Ian J. – Intelligence, 2012
Although a number of analyses have addressed whether initial cognitive ability level is associated with age-related cognitive decline, results have been inconsistent. Latent growth curve modeling was applied to two aging cohorts, extending previous analyses with a further wave of data collection, or as a more appropriate analytical methodology…
Descriptors: Cognitive Ability, Aging (Individuals), Cohort Analysis, Memory
Chuderski, Adam; Taraday, Maciej; Necka, Edward; Smolen, Tomasz – Intelligence, 2012
We examined whether fluid intelligence (Gf) is better predicted by the storage capacity of active memory or by the effectiveness of executive control. In two psychometric studies, we measured storage capacity with three kinds of task which required the maintenance of a visual array, the monitoring of simple relations among perceptually available…
Descriptors: Intelligence, Structural Equation Models, Attention Control, Inhibition
Murray, Catherine; Pattie, Alison; Starr, John M.; Deary, Ian J. – Intelligence, 2012
To test whether cognitive ability predicts survival from age 79 to 89 years data were collected from 543 (230 male) participants who entered the study at a mean age of 79.1 years. Most had taken the Moray House Test of general intelligence (MHT) when aged 11 and 79 years from which, in addition to intelligence measures at these two time points,…
Descriptors: Intelligence, Health Conditions, Older Adults, Memory
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
Irwing, Paul; Booth, Tom; Nyborg, Helmuth; Rushton, J. Philippe – Intelligence, 2012
We examined whether the General Factor of Personality (GFP) is related to the "g" factor of cognitive ability using data from the Vietnam Experience Study which randomly sampled 4462 Vietnam War veterans from a total sample of about five million Vietnam era army veterans. Exclusionary criteria included passing a fitness test, achieving a…
Descriptors: Intelligence, War, Aptitude Tests, Personality
Rose, Susan A.; Feldman, Judith F.; Jankowski, Jeffery J. – Intelligence, 2009
The present report assesses information processing in the toddler years (24 and 36 months), using a cohort of preterms (less than 1750 g) and full-terms initially seen in infancy. The children received a battery of tasks tapping 11 specific abilities from four domains--memory, processing speed, attention, and representational competence. The same…
Descriptors: Toddlers, Cognitive Processes, Cognitive Ability, Intelligence
Rose, Susan A.; Feldman, Judith F.; Jankowski, Jeffery J.; Van Rossem, Ronan – Intelligence, 2011
Although it is well established that preterms as a group do poorly relative to their full-term peers on tests of global cognitive functioning, the basis for this relative deficiency is less understood. The present paper examines preterm deficits in core cognitive abilities and determines their role in mediating preterm/full-term differences in IQ.…
Descriptors: Body Weight, Structural Equation Models, Intelligence Quotient, Premature Infants
Ratcliff, Roger; Schmiedek, Florian; McKoon, Gail – Intelligence, 2008
The worst performance rule for cognitive tasks [Coyle, T.R. (2003). IQ, the worst performance rule, and Spearman's law: A reanalysis and extension. "Intelligence," 31, 567-587] in which reaction time is measured is the result that IQ scores correlate better with longer (i.e., 0.7 and 0.9 quantile) reaction times than shorter (i.e., 0.1 and 0.3…
Descriptors: Reaction Time, Intelligence Quotient, Correlation, Models
Meo, Maria; Roberts, Maxwell J.; Marucci, Francesco S. – Intelligence, 2007
Raven's Progressive Matrices is a frequently used intelligence test, and it has been suggested that the major determinant of difficulty for each item is its numbers of elements and rules, and its rule complexity. The current study investigated another potential source of difficulty--element salience--items are harder where their elements are…
Descriptors: Intelligence Tests, Memory, Difficulty Level
Schweizer, Karl – Intelligence, 2007
The impurity of measures is considered as cause of erroneous interpretations of observed relationships. This paper concentrates on impurity with respect to the relationship between working memory and fluid intelligence. The means for the identification of impurity was the fixed-links model, which enabled the decomposition of variance into…
Descriptors: Intelligence, Intelligence Tests, Tests, Memory
Johnson, Wendy; Bouchard, Thomas J.; McGue, Matt; Segal, Nancy L.; Tellegen, Auke; Keyes, Margaret; Gottesman, Irving I. – Intelligence, 2007
In previous papers [Johnson, W., & Bouchard Jr., T. J. (2005a). Constructive Replication of the Visual-Perceptual-Image Rotation (VPR) Model in Thurstone's (1941) Battery of 60 Tests of Mental Ability. Intelligence, 33, 417-430.] [Johnson, W., & Bouchard Jr., T. J. (2005b). The Structure of Human Intelligence: It's Verbal, perceptual, and image…
Descriptors: Intelligence, Twins, Genetics, Environmental Influences
Vock, Miriam; Holling, Heinz – Intelligence, 2008
The objective of this study is to explore the potential for developing IRT-based working memory scales for assessing specific working memory components in children (8-13 years). These working memory scales should measure cognitive abilities reliably in the upper range of ability distribution as well as in the normal range, and provide a…
Descriptors: Test Items, Academic Achievement, Factor Structure, Factor Analysis
Unsworth, N.; Engle, R.W. – Intelligence, 2005
The correlation between a measure of working memory capacity (WMC) (Operation Span) and a measure of fluid abilities (Raven Advanced Progressive Matrices) was examined. Specifically, performance on Raven problems was decomposed by difficulty, memory load, and rule type. The results suggest that the relation between Operation Span and Raven is…
Descriptors: Attention Control, Memory
Ronnlund, Michael; Nilsson, Lars-Goran – Intelligence, 2008
To estimate Flynn effects (FEs) on forms of declarative memory (episodic, semantic) and visuospatial ability (Block Design) time-sequential analyses of data for Swedish adult samples (35-80 years) assessed on either of four occasions (1989, 1994, 1999, 2004; n = 2995) were conducted. The results demonstrated cognitive gains across occasions,…
Descriptors: Intelligence Tests, Semantics, Memory, Spatial Ability
van Leeuwen, Marieke; van den Berg, Stephanie M.; Hoekstra, Rosa A.; Boomsma, Dorret I. – Intelligence, 2007
The aim of this study was to identify promising endophenotypes for intelligence in children and adolescents for future genetic studies in cognitive development. Based on the available set of endophenotypes for intelligence in adults, cognitive tasks were chosen covering the domains of working memory, processing speed, and selective attention. This…
Descriptors: Memory, Adolescents, Reaction Time, Intelligence