A5085768241- Multi-Criteria Decision Making
- Fuzzy Systems and Optimization
- Advanced Statistical Methods and Models
- Mental Health Research Topics
- Statistical Methods and Inference
- Multisensory perception and integration
- Bayesian Modeling and Causal Inference
- Infant Development and Preterm Care
- Animal Behavior and Welfare Studies
- Statistical Methods in Clinical Trials
- Reliability and Agreement in Measurement
- Fuzzy Logic and Control Systems
- Child Development and Digital Technology
- Statistical Methods and Bayesian Inference
- Autism Spectrum Disorder Research
- Olfactory and Sensory Function Studies
- Advanced Causal Inference Techniques
- Bayesian Methods and Mixture Models
- Behavioral Health and Interventions
- Cognitive Science and Mapping
- Child and Adolescent Psychosocial and Emotional Development
- Advanced Chemical Sensor Technologies
- Advanced Statistical Modeling Techniques
- Social and Intergroup Psychology
- Eating Disorders and Behaviors
University of Padua
2019-2024
Istituto Nazionale di Alta Matematica Francesco Severi
2024
University of Trento
2013-2019
KU Leuven
2016
Every day cognitive and experimental researchers attempt to find evidence in support of their hypotheses terms statistical differences or similarities among groups. The most typical cases involve quantifying the difference two samples mean values using t statistic other measures, such as Cohen's d U metrics. In both aim is quantify how large have be order classified notable effects. These issues are particularly relevant when dealing with applied psychological research. However, these...
Reading is vital to every aspect of modern life, exacerbated by reliance the internet, email, and social media on written medium. Developmental dyslexia (DD) characterizes a disorder in which core deficit involves reading. Traditionally, DD thought be associated with phonological impairment. However, recent evidence has begun suggest that reading impairment some individuals provoked visual processing deficit. In this paper, we present WISC-IV data from more than 300 Italian children...
Fuzzy data, prevalent in social sciences and other fields, capture uncertainties arising from subjective evaluations measurement imprecision. Despite significant advancements fuzzy statistics, a unified inferential regression-based framework remains undeveloped. Hence, we propose novel approach for analyzing bounded variables within regression framework. Building on the premise that data result process analogous to statistical coarsening, introduce conditional probabilistic links observed...
In the past two decades, psychological science has experienced an unprecedented replicability crisis, which uncovered several issues. Among others, use and misuse of statistical inference plays a key role in this crisis. Indeed, is too often viewed as isolated procedure limited to analysis data that have already been collected. Instead, reasoning necessary both at planning stage when interpreting results research project. Based on these considerations, we build further develop idea proposed...
Research in the United States has shown that youth mentoring is a promising strategy for increasing self-esteem and school connectedness at-risk youth. There been little confirmation of those findings internationally. The current study evaluates impact by trained university students on children's compared to schoolmates not involved program. Mentor-UP school- community-based weekly program implemented northern Italy over period seven months. Participants (209 – 34 experimental group 175...
Abstract The complexity of homeless service users’ characteristics and the contextual challenges faced by services can make experience working with people in homelessness stressful put providers’ well‐being at risk. In current study, we investigated association between (i.e., availability training supervision capability‐fostering approach) social work engagement burnout. study involved 497 providers eight different European countries (62% women; mean age = 40.73, SD 10.45) was part Horizon...
Despite an increasing interest in detecting early signs of Autism Spectrum Disorders (ASD), the pathogenesis social impairments characterizing ASD is still largely unknown. Atypical visual attention to stimuli a potential marker and communicative deficits ASD. Some authors hypothesized that such are present from birth, leading decline subsequent typical functioning learning-mechanisms. Others suggested these emerge during transition subcortically cortically mediated mechanisms, happening...
For investigating the individual-environment interplay and individual differences in response to environmental exposures as captured by models of sensitivity including Diathesis-stress, Differential Susceptibility, Vantage Sensitivity, over last few years, a series statistical guidelines have been proposed. However, available solutions suffer computational problems especially relevant when sample size is not sufficiently large, common condition observational clinical studies.
AbstractThe aim of this paper is to define a new approach for the analysis data collected by means SERVQUAL questionnaires which based on generalized cross entropy (GCE) approach. In respect, we firstly give short review about important role that plays in service quality as well assessment competitiveness public and private organizations. Secondly, provide formal definition GCE together with brief discussion its features usefulness. Finally, show application model, patients' satisfaction...
Abstract Background The Wechsler Intelligence Scale for Children – Fourth Edition often produces floor effects in individuals with intellectual disability. Calculating respondents' Z or age‐equivalent scores has been claimed to remedy this problem. Method present study applied these methods the of 198 diagnosed Confirmatory factor analysis and profile were conducted using a Bayesian approach. Results intelligence structure disability resembled one previously reported typical development,...
Abstract In several observational contexts where different raters evaluate a set of items, it is common to assume that all draw their scores from the same underlying distribution. However, plenty scientific works have evidenced relevance individual variability in type rating tasks. To address this issue intra-class correlation coefficient (ICC) has been used as measure among within Hierarchical Linear Models approach. A distributional assumption setting specify hierarchical effects...
Using a mouse-tracking technique, we measured the strength and temporal unfolding of conflict when people categorize objectified nonobjectified human stimuli in or object category. We recorded participants’ hand movements they categorized male female, nonobjectified, human, doll-like person categories. As expected, women created stronger categorization compared to all other stimuli. The nature mouse trajectories indicated that this response competition was caused by distractor (object...