News & Events

Students' experiences at university prepare them for a future in which they are expected to engage in life-long learning. Self-efficacy theory suggests that a persons beliefs in their capacity to learn will influence their participation in learning. This paper describes development of a new scale to measure self-efficacy for learning (SEL) among university students, designed to be appropriate for both campus-based and online learning, and for administration in a battery of tests on student development. Undergraduate students (n = 265) in a business school in Milan and a department of psychology in Rome participated in the final study. Beginning with a random sample of 200 participants, item response theory and exploratory factor analysis with LISREL were used to identify a 10 item scale to measure SEL. The scales properties were confirmed in a second random sample of 200 participants, using confirmatory factor analysis in LISREL. Correlation with expected grades was, consistent with earlier studies, moderately small (.22), but statistically significant.

We present an introduction to the NetLogo simulation environment using the Segregation Model presented by Nobel Prize Winner Thomas Schelling in 1978. While reviewing the model, its Netlogo implementation is described step by step, using visual tools accompanied by the code for programming in the Netlogo language. Two extensions to the original model are proposed and programmed. All the models are fully described in the text.

We use actor-network theory (ANT) to understand how social workers in a large Italian local health authority might interact with a wiki space to share resources, inform practice, and maintain their professional identity. At the time of study, the wiki was proposed as a replacement technology for an existing structured knowledge management system (KMS). We introduce the case organization, the social workers and the problem and then describe the key concepts of ANT and how they can be used to guide socio-technical analysis of the potential for a proposed new information technology. ANT was applied in two ways. Firstly, we analyzed how the social workers' existing KMS came about, using the processes of translation as defined in ANT to reconstruct the events leading to that choice and the subsequent idea of replacing the KMS with a wiki. We then used a due process model and drew the actor-network in order to consider the wiki as a potential replacement for the existing KMS. As part of this process, we present the design of a seed structure and participation process for a wiki that would both maintain the value of KMS work done to date and meet additional needs for informal learning and maintenance of professional identity among the social workers. The successful adoption and sustainability of the wiki will depend on strengthening its association with the other stakeholders participating in the project.

We investigate the gender gap in Economics among bachelor's and master's graduates in Italy between 2010 and 2019. First we establish that being female exerts a negative impact on the choice to major in Economics: at the bachelor level, only 73 women graduate in Economics for every 100 men, with the mathematical content of high school curricula as the key driver of the effect and a persistence of the gap at the master level. Second, within a full menu of major choices, Economics displays the largest gap, followed by STEM and then Business Economics. Third, decomposition analyses expose a unique role for the math background in driving the Economics gender gap relative to other elds. Fourth, a triple difference analysis of a high school reform shows that an increase in the math content of traditionally low math curricula caused an increase in the Economics gender gap among treated students.

The general decline in alcohol and tobacco consumption among teenagers in recent years has been interpreted as a success of the European governments campaigns to increase adolescents’ awareness about the risk associated to drug use. At the same time, polydrug users – those who make use of more than one substance – are becoming a prevalent group among adolescent substance users. This evidence raises the question of whether the traditional approach to study risk perception related to substance use could be improved. Research in this field always deals with substance-specific risk perception indicators, while it lacks of a composite and synthetic measure of risk perception related to the overall attitudes towards substances use. This study explores whether there is a unique overall perception of risk associated with different legal and illegal substances use. Specifically, by making use of ESPAD data, we explore whether it is possible to derive an overall measure of attitude toward drugs consumption, by combining a set of indicators of risk perception regarding different types of substances (i.e. alcohol, tobacco, cannabis and other illegal drugs) and different frequencies of use (i.e. sporadic versus regular). Factor analysis results provide evidence of the existence of three indexes of perceived risk associated, respectively, to the use of legal drugs, the sporadic use of illegal drugs and the regular use of illegal drugs.

Young people leave the parental home at different ages, and differences exist both between and within societies. To explain this heterogeneity, differences in earnings and employment, education and family formation are popular candidates. Comparative research has emphasised the importance of institutional arrangements, in particular the way state welfare systems are able to support young individuals in the transition to adulthood. It has been argued, however, that despite differences in welfare support, differences in social norms also play an important role. In this paper we make an attempt to explain the heterogeneity in individuals' perceptions of the age deadline for leaving home. Using information from the third round of the European Social Survey (ESS) we implement a series of multi-level regression models where we account both for country and regional heterogeneity. The idea is that contextual variables may affect individuals' perception of the age deadline, which in turn is likely to matter for the actual age of leaving home. Just as in the literature concerned with explaining actual behaviour, we find that strong normative differences between countries persist. We also find significant, though lower, regional variability in the analysis on the pooled set of European countries we have in our data set. Unemployment rate and education are found to have a strong role in explaining heterogeneity of norms at the country level, while religiosity influences age norms mostly at the regional level. This is consistent with the idea that cultural factors are important at the regional level while structural factors show their influence at the country level.

Using age specific fertility rates of Italian and Swedish women aged between 15 and 49 years old I examine the presence of fertility postponement in period and cohort outputs. Period data consist of standard five-year age group rates ranging from 1960 to 2005. Cohort data are arranged on age specific year groups born between years 1930-1970. The method used in this work is based upon quadratic spline interpolation procedure, developed by Carl P. Schmertmann (2003), in which three index ages determine the schedules shape. The recent fertility postponing behavior is investigated through the help of five index ages, which show the dynamics of postponement both in cohort and period data.

The generous Nordic model of welfare is commonly viewed as an exceptional success, in terms of both equality and economic growth. However, it recently became evident that subgroups of the population with weak labour market attachment and high welfare dependency, such as lone mothers, were vastly overrepresented among the poor. This prompted a workfare reform of the Norwegian welfare system for lone mothers: activity requirements were brought in, time limits imposed and benefit levels raised. To evaluate the reform we introduce an estimator that, unlike the much used difference-in-difference approach, accounts for the fact that policy changes are typically phased in gradually rather than coming into full effect immediately. The results were striking: the workfare reform has not only led to increased earnings and educational attainment but also reduced poverty.

The aim of this paper is to assess the quality of the ranking of institutions obtained with multilevel techniques in presence of different model misspecifications and data structures. Through a Monte Carlo simulation study, we find that it is quite hard to obtain a reliable ranking of the whole effectiveness distribution while, under various experimental conditions, it is possible to identify institutions with extreme performances. Ranking quality increases with increasing intra class correlation coefficient and/or overall sample size. Furthermore, multilevel models where the between and within cluster components of first-level covariates are distinguished perform significantly better than both multilevel models where the two effects are set to be equal and the fixed effect models.