1,721,091 research outputs found
Carlo Botta. Luigi Lamberti. Giuseppe Longhi. Ferdinando Paer
CARLO BOTTA. LUIGI LAMBERTI. GIUSEPPE LONGHI. FERDINANDO PAER
Ritratti Di Illustri Italiani Viventi (-)
Carlo Botta. Luigi Lamberti. Giuseppe Longhi. Ferdinando Paer (Puntata Quarta) (1)
Cover (1)
Carlo Botta (3)
Luigi Lamberti (5)
Giuseppe Longhi (7)
Ferdinando Paer (9
Hybrid multigroup partial least squares structural equation modelling: an application to bank employee satisfaction and loyalty
We describe a practical approach to tackling observed heterogeneity using partial least squares structural equation modelling (PLS-SEM) when the number of categorical variables is high and the context of the research is exploratory. The approach is based on combining classical multigroup PLS-SEM approach and pathmox analysis. We provide practical guidance on using our hybrid multigroup PLS-SEM and illustrate its application using real data for bank employees. In investigating work climate, specifically the relationship between satisfaction and loyalty considering specific drivers (empowerment, company reputation, leadership, pay, and work conditions) and different sources of heterogeneity (gender, age, marital status, education, job level, and antiquity), the hybrid multigroup PLS-SEM identified three partitions defined by juniors, seniors, and managers, and identified significant differences between those groups, specifically in indicating that leadership and pay were more important for juniors, empowerment for seniors, and company reputation and work conditions for managers
Assessing heterogeneity in students’ performance. The case of the Massive Open Online Courses
Exploiting the conceptualization of MOCC performance and one of its main drivers –engagement– this paper aims to evaluate if and how much the role played by engagement in the prediction of student’s performance changes accord- ing to the students’ characteristics –gender, age, and country– or considering dif- ferent types of courses. To that end we explored the suitability of two tests, the parametric and permutation test, to assess whether the presence of heterogeneity in the sample has different effects on different parts of the conditional distribution of the students’ performance. Our results indicate that engagement varies according to the conditional quantiles of the performance and the specific segment defined by the categorical variables for which is estimated
The social structuring of the digital gap in a developing country. The impact of computer and internet access opportunities on internet use in Thailand
We examine the first digital divide in a developing country, Thailand, exploring how resources and appropriation theory concepts explain internet use diversity. We find that computer and internet access opportunities are the primary drivers of internet use and also that their effect depends on individuals’ resources and social categories (particularly gender, age, and education), resulting in mobile and traditional user classes (younger, better educated, urban women, and older, less well-educated, married, non-urban individuals, respectively). Drivers behind internet use diversity may be generational, suggesting a need to switch the research focus from house- holds to individuals, even in less developed countries
University image, hard skills or soft skills: Which matters most for which graduate students?
We explore the relationships between student satisfaction and its antecedents—perceived value, university image, and perceived quality—from the perspective of employed grad- uate students from a Spanish technical university. To determine how students were seg- mented in our structural model, a general model was tested using partial least squares structural equation modelling and heterogeneity was tested using pathmox analysis. Our analysis indicated that student satisfaction varied according to demographics, university curricula, and job-related variables, resulting in three groupings differentiated by salary and grade point average (GPA): (1) higher-salary graduates, (2) lower-salary/lower-GPA graduates, and (3) lower-salary/higher-GPA graduates. We found student priorities to be as follows: perceived quality of soft skills was important for the higher-salary students, perceived quality of hard skills for lower-salary/higher-GPA students, and university image for lower-salary/lower-GPA students. Our findings contribute evidence concerning the sat- isfaction of graduates, exemplifying how an apparently representative global model can in fact mask different relationships between constructs due to heterogeneous data, underlining the importance of accounting for heterogeneity when analysing student preferences. Our results would suggest that higher education institutions could consider customizing polices according to student profiles reflecting labour market insertion and proficiency
Testing heterogeneity in quantile regression: a multigroup approach
The paper aims to introduce a multigroup approach to assess group effects in quantile regression. The procedure estimates the same regression model at different quantiles, and for different groups of observations. Such groups are defined by the levels of one or more stratification variables. The proposed approach exploits a computational procedure to test group effects. In particular, a bootstrap parametric test and a permutation test are compared through artificial data taking into account different sample sizes, and comparing their performance in detecting low, medium, and
high differences among coefficients pertaining different groups. An empirical analysis on MOOC students’ performance is used to show the proposal in action. The effect of the two main drivers impacting on performance, learning and engagement, is explored at different conditional quantiles, and comparing self-paced courses with instructor-paced courses, offered on the EdX platform
Invariance Test: Detecting Difference Between Latent Variables Structure in Partial Least Squares Path Modeling
In the context of heterogeneity, almost all partial least squares path modeling (PLS-PM) approaches focus on differences in the causal relationships between the latent variables. The principal goal is to detect segments that have different path coefficients in the structural model, yet inadequate attention is generally given to the measurement model. Thus, anytime that we define specific sub-models for different groups of individuals, we may wonder if the latent variables are the same in all detected sub-models. Taking this into consideration, the problem of invariance arises, meaning that if the estimation of latent variables are specific in each sub-model, there is reasonable doubt regarding whether we can compare the distinct behavior of individuals who belong to two different segments. In this paper, we present an invariance test as a possible solution, whereby the goal is to verify whether or not the measurement models of each sub-model may be assumed equal among themselves.</jats:p
The social process of internet appropriation: Living in a digitally advanced country benefits less well-educated Europeans
We generalize and extend the sequential model proposed by the resources and appropriation theory to explain the digital divide in the European Union plus the United Kingdom (EU27+UK). We measure the theoretical constructs of the model with data provided by the EU and test the theoretical predictions using a partial least squares structural equation model. We find support for the hypothesized relationships but find that the effects vary depending on the digital development level of countries. While education overall is the primary determinant of the social production of digital inequalities, a country's digital development level is crucial for less well-educated Europeans. These findings have theoretical and practical implications: (1) they call into question the homogeneity of the effect of causal relationships and the assumption that individuals differ only in terms of motivation, access, and digital skills, and (2) they indicate that socially disadvantaged Europeans benefit from living in more digitally developed countries
Le manifestazioni oculari nelle malattie infiammatorie dell'intestino.
Il trattamento dei pazienti affetti da rettocolite ulcerosa ( Morbo di Crohn) richiede in presenza di specifiche complicanze interventi multidisciplinari. L'oftalmologo interagisce con questo team polispecialistico nel caso in cui il paziente con rettocolite ulcerosa sviluppi complicanze oculari oppure qualora si manifesti un sintomo oculare tale da condurre alla diagnosi di rettocolite ulcerosa. Questo capitolo tratta le manifestazioni oculari o le complicanze oculistiche del Morbo di Crohn classificandole in: primarie, secondarie di primo e secondo grado, concomitanti, iatrogene
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