Men's preferences for women's profile waist‐to‐hip ratio,breast size,and ethnic group in Britain and South Africa

One particular aspect of the literature on preferences for female body shapes has focused on the purported universality of preferences for a low waist‐to‐hip ratio (WHR), despite substantial evidence of cross‐cultural variability in such preferences. In the present study, we examined the effects of manipulating women's profile WHR, breast size, and ethnicity on men's ratings of physical attractiveness and health. A total of 51 African men in South Africa, 56 British Africans, and 114 British Caucasians rated 12 line drawings that varied in two levels of ethnicity, three levels of WHR, and two levels of breast size. Overall, the results suggested that there were cross‐cultural differences in preferred body shape, with the preferred body configuration varying as a function of the ethnicity of the figure being rated. In addition, there was a strong positive correlation between ratings of attractiveness and health. These findings are discussed in relation to the interplay between culture and evolution in determining ideals of attractiveness.     

Decomposing self‐estimates of intelligence: Structure and sex differences across 12 nations

This study examines the structure of self‐estimates of intelligence (SEI) across 12 nations (Australia, Austria, Brazil, France, Iran, Israel, Malaysia, South Africa, Spain, Turkey, UK and US). Participants rated themselves on general and specific abilities from three popular models of intelligence: Gardner's multiple intelligences, Sternberg's triarchic theory of intelligence, and Goleman's emotional intelligence. The results showed that (a) laypeople across nations have similar and invariant concepts of intelligence, (b) concepts of intelligence are cross‐culturally closely related to academic notions of intellectual ability and (c) sex differences in general and specific SEI favouring men are consistent across countries. Male hubris and female humility in SEI seem independent of sex differences in actual cognitive ability and national levels of masculinity‐femininity. Furthermore, international mean differences in general SEI could not be attributed to discrepancies in national intelligence quotient (IQ) levels or to cultural variations.     

Typical intellectual engagement,Big Five personality traits,approaches to learning and cognitive ability predictors of academic performance

Background Both ability (measured by power tests) and non‐ability (measured by preference tests) individual difference measures predict academic school outcomes. These include fluid as well as crystalized intelligence, personality traits, and learning styles. This paper examines the incremental validity of five psychometric tests and the sex and age of pupils to predict their General Certificate in Secondary Education (GCSE) test results. Aims The aim was to determine how much variance ability and non‐ability tests can account for in predicting specific GCSE exam scores. Sample The sample comprised 212 British schoolchildren. Of these, 123 were females. Their mean age was 15.8 years (SD 0.98 years). Method Pupils completed three self‐report tests: the Neuroticism–Extroversion–Openness‐Five‐Factor Inventory (NEO‐FFI) which measures the ‘Big Five’ personality traits, ( Costa & McCrae, 1992 ); the Typical Intellectual Engagement Scale ( Goff & Ackerman, 1992 ) and a measure of learning style, the Study Process Questionnaire (SPQ; Biggs, 1987 ). They also completed two ability tests: the Wonderlic Personnel Test ( Wonderlic, 1992 ) a short measure of general intelligence and the General Knowledge Test ( Irving, Cammock, & Lynn, 2001 ) a measure of crystallized intelligence. Six months later they took their (10th grade) GCSE exams comprising four ‘core’ compulsory exams as well as a number of specific elective subjects. Results Correlational analysis suggested that intelligence was the best predictors of school results. Preference test measures accounted for relatively little variance. Regressions indicated that over 50% of the variance in school exams for English (Literature and Language) and Maths and Science combined could be accounted for by these individual difference factors. Conclusions Data from less than an hour's worth of testing pupils could predict school exam results 6 months later. These tests could, therefore, be used to reliably inform important decisions about how pupils are taught.     

Exploring the relationships between trait emotional intelligence and objective socio‐emotional outcomes in childhood

Background Trait emotional intelligence (trait EI or trait emotional self‐efficacy) is a constellation of emotion‐related self‐perceptions and dispositions located at the lower levels of personality hierarchies. This paper examines the validity of this construct, as operationalized by the Trait Emotional Intelligence Questionnaire‐Child Form (TEIQue‐CF), in primary schoolchildren. Aims The main aim was to examine the construct validity of trait EI in middle and late childhood by exploring its relationships with cognitive ability, emotion perception, and social behaviour. Sample The sample comprised 140 children aged between 8 and 12 years (M = 9.26 years, SD = 1.00 year; 63 girls) from two English state primary schools. Method Pupils completed the TEIQue‐CF, the standard progressive matrices (SPM), the guess who peer assessment, the social skills training (SST) test, and the assessment of children's emotion skills (ACES) during formal class periods. The procedure took approximately two hours with a short break between assessments. Results Trait EI scores were positively related both to peer‐rated prosocial behaviour and to overall peer competence. They also predicted emotion perception accuracy beyond overall peer competence. As hypothesized in trait EI theory, the construct was unrelated to IQ (Raven's matrices) and academic performance. Conclusions Trait EI is successfully operationalized through the TEIQue‐CF and has important and multifaceted implications for the socialization of primary schoolchildren.     

Top-down influences on attentional capture by color changes

Previous studies have shown that a change in an existing object is not as effective in capturing attention as the appearance of a new object. This view was recently challenged by Lu and Zhou (Psychonomic Bulletin and Review 12:567–572, 2005), who found strong capture effects for an object changing its color. We suspected that this finding critically depends on a procedural particularity in Lu and Zhou’s study, namely that the color of the unique item and the color of the no-unique items randomly switched between trials. In the current study we replicate Lu and Zhou’s capture effect (Experiment 1) and show that no capture occurs when the color-to-stimuli assignment is fixed (Experiment 2). Two further experiments suggest that the capture effect in Experiment 1 is not because the unique item switched color (Experiment 3), but because all the no-unique items switched color (Experiment 4). The results are discussed considering top-down modulation and inter-trial priming effects.

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The time course of processing external and internal features of unfamiliar faces

The time course of processing internal and external facial features was studied in a sequential face matching task, where first a target face was presented, followed by a test face. The exposure duration of the test face was varied systematically (90, 120, 150 ms, and self-paced). In three tasks, participants were instructed to match either the whole face, only external features, or only internal features of the target and test face. Taken together, the results in all the three tasks provide evidence for very fast matching processes. For upright faces, maximal performance was achieved at 90 ms exposure duration and longer exposure durations (120, 150 ms, self-paced) did not improve accuracy. For inverted whole faces, reduced exposure duration resulted in an increase of matching errors, suggesting that below 150 ms of exposure duration, inverted faces cannot be matched reliably. When matching selected facial features only, no such inversion effect was found. Our data challenges previous claims that external features are matched faster than internal: no difference of time course was found between external and internal features. However, external features were matched more accurately.     

Two routes to face perception: evidence from psychophysics and computational modeling

The aim of this study was to separately analyze the role of featural and configural face representations. Stimuli containing only featural information were created by cutting the faces into their parts and scrambling them. Stimuli only containing configural information were created by blurring the faces. Employing an old-new recognition task, the aim of Experiments 1 and 2 was to investigate whether unfamiliar faces (Exp. 1) or familiar faces (Exp. 2) can be recognized if only featural or configural information is provided. Both scrambled and blurred faces could be recognized above chance level. A further aim of Experiments 1 and 2 was to investigate whether our method of creating configural and featural stimuli is valid. Pre-activation of one form of representation did not facilitate recognition of the other, neither for unfamiliar faces (Exp. 1) nor for familiar faces (Exp. 2). This indicates a high internal validity of our method for creating configural and featural face stimuli. Experiment 3 examined whether features placed in their correct categorical relational position but with distorted metrical distances facilitated recognition of unfamiliar faces. These faces were recognized no better than the scrambled faces in Experiment 1, providing further evidence that facial features are stored independently of configural information. From these results we conclude that both featural and configural information are important to recognize a face and argue for a dual-mode hypothesis of face processing. Using the psychophysical results as motivation, we propose a computational framework that implements featural and configural processing routes using an appearance-based representation based on local features and their spatial relations. In three computational experiments (Experiments 4–6) using the same sets of stimuli, we show how this framework is able to model the psychophysical data.     

The Validity of a New,Self-report Measure of Multiple Intelligence

In all, 187 participants completed a new, self-report measure of eight multiple intelligences (Haselbauer 2005), a General Knowledge test (Irwing et al. Personality and Individual Differences 30:857–871, 2001), a measure of Approaches to Learning Styles (Biggs 1987), a measure of the Big Five personality traits (Costa and McCrae 1992), as well as gave their own estimated scores on the Gardner (1999) multiple intelligences. Alpha co-efficients were modest with only three of the eight test-derived, multiple intelligence scores being over .70. ‘Linguistic’ and Mathematical intelligence alone were correlated with General Knowledge. Five of the eight ‘intelligences’ were correlated both with Extraversion and Openness. Regressions indicated that ‘Intrapersonal intelligence’ was closely linked with Stability and Conscientiousness; ‘Interpersonal intelligence’ with Extraversion; ‘Linguistic intelligence’ with Openness; ‘Mathematical intelligence’ with Agreeableness and Conscientiousness. Correlations between self-estimated and test-derived emotional intelligence showed correlations ranging from r = .18 to r = .56 for similar type ‘intelligences’. This study provides modest evidence for the concurrent and construct validity of this measure. It requires more psychometric evidence of validity before it is used.