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The authors obtained behavioral observations and personality ratings for 27 free-ranging Hanuman langur males. Subjects were rated using a questionnaire based on the human Five-Factor Model (FFM). Behavioral observations were taken over 5 months using an ethogram that included 50 behaviors. Principal Component Analysis (PCA) of ratings revealed Agreeableness_(R), Confidence_(R), and Extraversion_(R) components. Each personality dimension was associated with a unique set of observed behaviors. PCA of 36 behavioral indices revealed Dominance_(B), Involvement_(B), and Activity_(B) components. Bivariate correlations showed that Agreeableness_(R) was negatively correlated with Dominance_(B); Confidence_(R) was positively correlated with Dominance_(B) and Involvement_(B) but negatively correlated with Activity_(B); and Extraversion_(R) was positively correlated with Activity_(B). Dominance rank was positively correlated with Confidence_(R) and Dominance_(B) but negatively correlated with Agreeableness_(R) and Activity_(B). These results highlight the comparability of behavioral coding and personality ratings and suggest that some aspects of personality structure were present in the common ancestor of Old World monkeys.

Objective: The aim of our study was to examine odor detection thresholds and odor identification in autistic subjects. Methods:Thirty-five patients with Asperger"s syndrome and high functioning autism (mean age 10.8 ± 3.6 years; 31 boys) were compared with 35 healthy control subjects (mean age 10.4 ± 2.4 years; 28 boys). There were no significant differences between groups with regard to mean age (p = 0.598) and gender proportion (p = 0.324). Olfactory testing used the Sniffin" Sticks test (Threshold and Identification parts only).Results: Participants with Asperger"s syndrome and high functioning autism, in comparison with healthy controls, were significantly impaired relative to odor detection thresholds (6.3 ± 3.1 vs. 7.9 ± 2.0; p = 0.025). Autistic participants were significantly better in correctly identifying the odor of an orange (94% vs. 63%; p < 0.05) and significantly worse at correctly identifying the odor of cloves (40% vs. 74%; p < 0.05). With regard to identification of fourteen other substances, there were no significant differences. There was no significant difference between autistic and control subjects on the total score of olfactory identification (p = 0.799). Odor identification ability (as expressed by this total score) correlated significantly with age in the control group (p = 0.049) but not in the autism group (p = 0.103). Conclusions:We found impaired odor detection and almost normal odor identification in children with autism. Implications for further research are discussed.

The aim of the study was to investigate the potential association of epilepsy and EEG abnormalities with autistic regression and mental retardation. We examined a group of 77 autistic children (61 boys, 16 girls) with an average age of 9.1 +/- 5.3 years. Clinical interview, neurological examination focused on the evaluation of epilepsy, IQ testing, and 21-channel EEG (including night sleep EEG recording) were performed. Normal EEGs were observed in 44.4% of the patients, non-epileptiform abnormal EEGs in 17.5%, and abnormal EEGs with epileptiform discharges in 38.1% of the patients. Epilepsy was found in 22.1% of the subjects. A history of regression was reported in 25.8% of the patients, 54.8% of the sample had abnormal development during the first year of life, and 79.7% of the patients were mentally retarded. Autistic regression was significantly more frequent in patients with epilepsy than in non-epileptic patients (p = 0.003). Abnormal development during the first year of life was significantly associated with epileptiform EEG abnormalities (p = 0.014). Epilepsy correlated significantly with mental retardation (p = 0.001). Although the biological basis and possible causal relationships of these associations remain to be explained, they may point to different subgroups of patients with autistic spectrum disorders.

We examined patterns of trait similarity (assortative mating) in married couples in four cultures, using both self-reports and spouse ratings on versions of the Revised NEO Personality Inventory. There was evidence of a subtle but pervasive perceived contrast bias in the spouse rating data. However, there was strong agreement across methods of assessment and moderate agreement across cultures in the pattern of results. Most assortment effects were small, but correlations exceeding .40 were seen for a subset of traits, chiefly from the Openness and Agreeableness domains. Except in Russia, where more positive assortment was seen for younger couples, comparisons of younger and older cohorts showed little systematic difference. This suggested that mate selection, rather than convergence over time, accounted for similarity. Future research on personality similarity in dyads can utilize different designs, but should assess personality at both domain and the facet levels.

Using self‐report measures, longitudinal studies in the US and cross‐sectional studies from many cultures suggest that the broad factors of Neuroticism, Extraversion, and Openness to Experience decline from adolescence to adulthood, whereas Agreeableness and Conscientiousness increase. Data are inconsistent on the rate of change during adulthood, and on the generalizability of self‐report findings to informant ratings. We analysed cross‐sectional data from self‐reports and informant ratings on the Revised NEO Personality Inventory in Czech (N = 705) and Russian (N = 800) samples. Some curvilinear effects were found, chiefly in the Czech sample; informant data generally replicated self‐reports, although the effects were weaker. Although many of the details are not yet clear, there appear to be pan‐cultural trends in personality development that are consistent with the hypothesis of intrinsic maturation. Copyright © 2004 John Wiley & Sons, Ltd.

The aim of our study was to subcategorize Autistic Spectrum Disorders (ASD) using a multidisciplinary approach. Sixty four autistic patients (mean age 9.4+/-5.6 years) were entered into a cluster analysis. The clustering analysis was based on MRI data. The clusters obtained did not differ significantly in the overall severity of autistic symptomatology as measured by the total score on the Childhood Autism Rating Scale (CARS). The clusters could be characterized as showing significant differences: Cluster 1: showed the largest sizes of the genu and splenium of the corpus callosum (CC), the lowest pregnancy order and the lowest frequency of facial dysmorphic features. Cluster 2: showed the largest sizes of the amygdala and hippocampus (HPC), the least abnormal visual response on the CARS, the lowest frequency of epilepsy and the least frequent abnormal psychomotor development during the first year of life. Cluster 3: showed the largest sizes of the caput of the nucleus caudatus (NC), the smallest sizes of the HPC and facial dysmorphic features were always present. Cluster 4: showed the smallest sizes of the genu and splenium of the CC, as well as the amygdala, and caput of the NC, the most abnormal visual response on the CARS, the highest frequency of epilepsy, the highest pregnancy order, abnormal psychomotor development during the first year of life was always present and facial dysmorphic features were always present. This multidisciplinary approach seems to be a promising method for subtyping autism.

The main goal of the European Federation of Psychologists’Associations (EFPA) Standing Committee on Tests and Testing (SCTT) is the improvement of testing practices in European countries. In order to reach this goal, the SCTT carries out various actions and projects, some of which are described in this paper. To better inform its work, it decided to survey the opinions of professional psychologists on testing practices. A questionnaire of 33 items was administered to a sample of 12,606 professional psychologists from 17 European countries. The questionnaire was based on, but not identical to, one used in 2000. The new data show that the positive attitude of the respondents toward the use of tests that was obtained in 2000 has increased in most countries, with a high percentage of the surveyed psychologists using tests regularly. Five main dimensions explained 43% of the total item variance. The dimensions involve items relating to: Concern over incorrect test use, regulations on tests and testing, Internet testing, appreciation of tests, and knowledge and training relating to tests and test use. Important differences between countries were found on these five dimensions. Differences were found according to gender for four of the five dimensions and in relation to field of specialization for all five dimensions. The most commonly used tests are the classic psychometric tests of intelligence and personality: WISC, WAIS, MMPI, RAVEN, 16PF, NEO-PI-R, BDI, SCL-90. Finally, some future perspectives are discussed.