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The phenomenon of body art, such as tattoos and piercings, has ancient roots, rediscovered in Western society during the '70s. The aim of this research is to investigate the prevalence and the characteristics of tattoos and piercings among Italian adolescents of high school in Padua, with particular attention to family context and temperament.Some questionnaires about the presence or the wish of tattoos/piercings, smoke and alcohol use, familiar conflicts, and some temperamental features, such as novelty seeking, harm avoidance and reward dependence, have been administered to a sample of 829 students.Tattoo and piercing's prevalence among adolescents was respectively 4% and 24%; 2.5% of the sample had both. Respectively 62% and 35% of the subjects expressed the desire of having a tattoo or piercing. A significant association has been found between tattoo/piercing's presence and smoke and alcohol use (p0.001). Subjects with tattoos and piercings, are more likely to have familiar conflicts and minor perceived support and they have higher scores on the novelty seeking scale. Those who wish a tattoo/piercing showed higher reward dependence.This study confirms that tattoos/piercings are common among young people and it stresses the relevance of familiar and temperamental features, and the association between tattoos/piercings and some maladaptive behaviors, like smoke and alcohol use.

The Sickness Impact Profile (SIP) is one of the questionnaires most widely used for the generic evaluation of functional health status. Besides measuring functional status or quality of life, it is also a precious font of information for the psychologist in the inpatient-rehabilitative context when planning an intervention focused on the most dysfunctional areas indicated by the subject. In producing the Italian version of the SIP, attention was duly paid in the translation to maintain equivalence in terms of idioms, grammar and syntax, so as to render it free of erroneous translations or possible. misunderstandings. Since the SIP employs "weighted" items, in order to obtain the weights corresponding to each individual statement a 3-phase procedure was followed: A) each subject "judge" was asked to express on a scale his/her own dysfunctionality judgement for each item; B) statements with the highest and lowest mean weight for each category were identified; C) the same "judges" were then asked to reclassify the statements which had obtained the highest and lowest weights, respectively, on a scale of 15 equidistant intervals; subsequently the same subjects completed the SIP a second time (retest). Results show that the judges were coherent in their estimation of the specific weights for each item. In the judges' second completion of the SIP it was found that the majority of the test-retest correlations fell almost always within the r = 0.70-0.90 range. Moreover, given the marginal difference between Italian and United States weights, both methods may be used for the calculation of the scores. One thus concludes that the SIP questionnaire can be applied in the Italian context.

The Functional Measurement approach, proposed within the theoretical framework of Information Integration Theory (Anderson, 1981, 1982), can be a useful multi-attribute analysis tool. Compared to the majority of statistical models, the averaging model can account for interaction effects without adding complexity. The R-Average method (Vidotto & Vicentini, 2007) can be used to estimate the parameters of these models. By the use of multiple information criteria in the model selection procedure, R-Average allows for the identification of the best subset of parameters that account for the data. After a review of the general method, we present an implementation of the procedure in the framework of R-project, followed by some experiments using a Monte Carlo method.

A new questionnaire named CBA-VE (Cognitive Behavioral Assessment for outcome evaluation) was developed to evaluate psychological treatment intervention--especially for counseling and psychotherapy. The questionnaire has 80 items and a 5 point Likert-like scale ranging from 1 = nothing to 5 = a lot. The aim of this study was to evaluate the validity and the reliability of the five constructs of the questionnaire both in normal and clinical subjects. Participants. Two samples were analyzed: a "Normal" group composed of 250 normal adults plus 51 university students; and a "Clinical" group including 261 adults undergoing psychotherapy and psychological counseling provided by the public health service. The questionnaire includes five scales: three of them are related to important psychological aspects (anxiety, depression, and psychological distress); the remaining two are measurements of psychological wellbeing and self-perception of a positive change. The questionnaire has excellent psychometric characteristics, both for normal and clinical subjects. We observed a good reliability, good internal consistency, and an excellent structural validity for the five interrelated dimensions. The normalized factorial loadings are consistent, significant (from around 0.6 up), and similar in both the groups. The so-called Clinical group showed higher scores in anxiety, depression, and psychological distress and smaller scores in wellbeing and change perception. This is coherent with what the authors assumed a priori.

The initial state parameters s0 and w0 are intricate issues of the averaging cognitive models in Information Integration Theory. Usually they are defined as a measure of prior information (Anderson, 1981; 1982) but there are no general rules to deal with them. In fact, there is no agreement as to their treatment except in specific situations such as linear models where they can be merged with the arbitrary zero inter-response scale C0. We present some considerations on their meaning and usefulness in the Functional Measurement approach, starting from different points of view. Furthermore, we suggest a method to deal with their complexity both within each single trial of a factorial design, and between the overall trials of an experiment.

The use of observational tools in psychological assessment has decreased in recent years, mainly due to its personnel and time costs, and researchers have not explored methodological innovations like adaptive algorithms in observational assessment. In the present study, we introduce the behavior-driven observation procedure to develop, test, and implement observational adaptive instruments. In Study 1, we use a preexisting observational checklist to evaluate nonverbal behaviors related to psychotic symptoms and to specify the adaptive algorithm’s model. We fit the model to observational data collected from 114 participants. The results support the model’s goodness of fit. In Study 2, we use the estimated model parameters to calibrate the adaptive procedure and test the algorithm for accuracy and efficiency in adaptively reconstructing 58 nonadaptively collected response patterns. The results show the algorithm’s good accuracy and efficiency, with a 40% average reduction in the number of administered items. In Study 3, we used real raters to test the adaptive checklist built with behavior-driven observation. The results indicate adequate intrarater agreement and good consistency of the observed response patterns. In conclusion, the results support the possibility of using behavior-driven observation to create accurate and affordable (in terms of resources) observational assessment tools.