Ida Camminatiello

University of Campania "Luigi Vanvitelli"

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Antonello D’Ambra

University of Campania "Luigi Vanvitelli"

Rosaria Lombardo

University of Campania "Luigi Vanvitelli"

Luigi D’Ambra

University of Naples Federico II

Pasquale Sarnacchiaro

University of Naples Federico II

Michele Gallo

University of Naples - L'Orientale

Eric J. Beh

University of Wollongong

Mario Musella

University of Naples Federico II

Tullio Menini

University of Naples - L'Orientale

Raffaela Palma

University of Naples Federico II

Filomena Izzo

University of Campania "Luigi Vanvitelli"

Cooperative Institutions

University of Naples Federico II

University of Campania "Luigi Vanvitelli"

Azienda Ospedaliera Universitaria Università degli Studi della Campania Luigi Vanvitelli

Stazione Zoologica Anton Dohrn

Istituto Nazionale di Fisica Nucleare, Sezione di Napoli

Federico II University Hospital

Marche Polytechnic University

University of Rome Tor Vergata

University of Sannio

University of Bari Aldo Moro

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CATANOVA for two-way cross classified categorical data

Statistics (2009)

Rosaria Lombardo Ida Camminatiello

In this article we develop an extension of categorical analysis of variance for one response and two factors, based on a partitioning of a measure of predictability for three-way contingency tables, known as Gray and Williams's index. At the first instance moment the decomposition of this multiple measure of association in partial association measures is shown. Finally, for ordinal-scale variables, we propose an extension of this decomposition using a particular set of orthogonal polynomials.

Categorical variable

Contingency table

Predictability

Ordinal Scale

10.1080/02331880902825919

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Citations (11)

Caritas for the Goals of the Agenda 2030: A Study on the Services Provided in Campania

Mario Musella Ida Camminatiello Francesco Izzo

The United Nations’ Agenda 2030 has established a series of Sustainable Development Goals to address global challenges, including poverty, food insecurity, access to education, and social inequality. In this context, charitable organizations such as Caritas play a crucial role in mitigating the negative effects of these challenges and promoting fair and sustainable development. This study aims to analyze prevalent needs among individuals seeking assistance from Caritas in Campania and examine how the organization contributes to achieving the Agenda 2030 Goals in the region. The statistical investigation techniques considered include tandem analysis [], which considers a dimension-reduction technique, such as multiple factor analysis, and, then cluster analysis to identify similar groups of individuals. These exploratory data analysis methods have allowed for the identification of common needs, including food assistance, support for education, employment, and housing assistance. Subsequently, Caritas programs and initiatives aimed at meeting these needs and promoting sustainable development are explored. The results indicate that Caritas plays a significant role in addressing the urgent needs of the vulnerable population in Campania and contributes to the goals of Agenda 2030, particularly those related to poverty alleviation, immigration, health promotion, education, employment, and reduction of social inequalities. This study provides an important perspective on the relevance and effectiveness of Caritas’ work in the context of Agenda 2030.

10.20944/preprints202405.2065.v1

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A comparing among the different approaches for DIF analysis

Tullio Menini Ida Camminatiello Michele Gallo

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Cumulative Correspondence Analysis of Two-Way Ordinal Contingency Tables

Communication in Statistics- Theory and Methods (2014)

Luigi D’Ambra Eric J. Beh Ida Camminatiello

Abstract A suitable measure of association for two ordered variables is the doubly cumulative chi-squared statistic (Hirotsu, Citation1994). This statistic is obtained by considering the cumulative sum of cell frequencies across the variables. In this article, we explore the development of correspondence analysis which takes into account the presence of two ordered variables by partitioning the doubly cumulative chi-squared statistic. Keywords: Doubly cumulative correspondence analysisHirotsu's chi-squared statisticOrdered categoriesMathematics Subject Classification: 62H2562H17 Acknowledgments We are very grateful to the anonymous reviewers for their helpful suggestions and comments which helped in improving the article.

Contingency table

Statistic

Correspondence analysis

Chi-square test

10.1080/03610926.2012.670356

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Citations (12)

Gaming for Healthcare: A Bibliometric Analysis in Business and Management

International Business Research (2020)

Filomena Izzo Ida Camminatiello

The purpose of this paper is to scrutinize and classify the literature linking gaming for healthcare and management phenomena. An objective bibliometric analysis is conducted, supported by subjective assessments based on studies focused on the linking of gaming for healthcare and management fields. From the analysis and its evaluation, three clusters depicting literature linking gaming for healthcare and management phenomena are showed: management and governance public/private healthcare system; gaming and knowledge/strategic management; management health/medical insurance system using game theory. Moreover, the study shows the limits of existing literature on this topic and proposes future research topics. This is one of the first attempts to comprehend the research stream which, over time, has paved the way to the intersection between gaming for healthcare and management fields.

Public healthcare

Healthcare system

10.5539/ibr.v13n12p27

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Citations (7)

Objective Measurements of Student Satisfaction by Comparing the Effects of Different Factors

Procedia Economics and Finance (2014)

Ida Camminatiello Tullio Menini Michele Gallo

Item Response Theory (IRT) is proposed in literature for evaluating the customer satisfaction in private and public service. In this work a particular version of IRT, known as Partial Credit Model (PCM), is proposed to analyse the satisfaction of university students of a middle university of Southern Italy. Moreover, to consider the effects of different factors (degree course, departments, presence of integrative teaching activities, etc) and their interactions, factorial differential item functioning proposed for the Rasch model is extended to PCM.

Differential item functioning

Polytomous Rasch model

Customer Satisfaction

Factorial

10.1016/s2212-5671(14)00880-6

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Citations (1)

Phytoplankton community to assess the environmental status of the Adriatic Sea via non-linear partial least squares regression

Quality & Quantity (2016)

Olga Mangoni Rosaria Lombardo Ida Camminatiello Francesca Margiotta Augusto Passarelli

Least-squares function approximation

10.1007/s11135-016-0440-0

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Citations (8)

The association in two-way ordinal contingency tables through global odds ratios

METRON (2021)

Ida Camminatiello Antonello D’Ambra Luigi D’Ambra

Contingency table

Association (psychology)

Odds

Ordinal optimization

10.1007/s40300-021-00224-7

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Citations (1)

Evaluation of Passenger Satisfaction Using Three-Way Contingence Table with Ordinal Variable

Antonello D’Ambra Ida Camminatiello

Evaluation of Passenger Satisfaction using three-way contingence table with ordinal variables ABSTRACT: Multivariate Statistical tools for Customer Satisfaction in the Great Distribution Objectives The aim of this work is to elaborate Customer Satisfaction (CS) data through a multivariate statistical methodology. Detailed data from various sources (questionnaires, phone interviews, direct inquires, etc.) were used to infer informations about their buying habits, diet and eventual brand loyalties. Methods and Results All data are collected by Customer Satisfaction tests performed in different Conad supermarkets. These collected data, was elaborated with a duplex method: by analysis and comparison of the results of each interview. Providing that the Principal Component Analysis with CS variables is not satisfactory, we decided to use a Simple Component Analysis by RV coefficient (SCA-RV), to increase the interpretability of the data, although losing some property. The second methodology used is the Structural Equation Model (Sem) in which the aim is to represent some process. In fact, such methodology yields a representation of the processes considering that the process can be analyzed by latent variables estimated, each formed by a set of manifest variables which act on satisfaction and the relationships among the several variables. Conclusions From these data we obtained that the Customers agree with the decision of the company, they express positive opinion of the employers but at the same time they are unsatisfied about the special offering in different departments of the store.

Customer Satisfaction

Interpretability

Table (database)

Variables

10.1400/112466

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Creating customer, museum and social value through digital technologies: Evidence from the MANN Assiri project

Socio-Economic Planning Sciences (2023)

Filomena Izzo Ida Camminatiello Pasquale Dal Sasso Ludovico Solima Rosaria Lombardo

Artifact (error)

Value (mathematics)

Emerging Technologies

Multiple correspondence analysis

10.1016/j.seps.2022.101502

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Citations (11)