Alternative Methods to Multiple Correspondence Analysis in Reconstructing the Relevant Information in a Burt's Table

Camiz, Sergio; Gomes, Gastão Coelho

doi:10.1590/0101-7438.2016.036.01.0023

Cited by 8 publications

(7 citation statements)

References 20 publications

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“…The collected information about the population of interest was processed in tables using a Burt's matrix. Camiz and Gomes argue that Multiple Correspondence Analysis (MCA) is the best-known exploratory factor analysis method to deal with it [1]. The categories of variables were particularly useful for registering urban mobility actions of the public space users, including some other hidden factors.…”

Section: Methodsmentioning

confidence: 99%

Urban Mobility and Qualitative Research in Historic Places

Collazo

2018

WIT Transactions on the Built Environment

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Mobility is a critical factor of urban development and the cause of frequent changes in city infrastructure and in public spaces. The study of mobility in historic places and landmarks in the city of Aguascalientes, using qualitative research methods, helped to understand the incremental loss of heritage architecture in the last decades. There are several reasons to visit a historic site and tourism levels have increased lately in Mexico. Besides the importance of tourism, there are people who go to work there, some others attend schools, and a few of them live in the historic centre. The analysis of parking lots inventory wasn't enough to understand mobility in historic places. It was through the design and implementation of a survey, using a qualitative statistical method, that research determined the origin of visitors, visiting times, level of education, transportation means and the way people use historic places. Furthermore, such research method determined the relationship of these factors by a multiple correspondence analysis. This analysis helped in reconstructing relevant information about such visitors. The qualitative was obtained from a printed questionnaire in person. The data clarified patterns of relationships and correspondence among variables. So the perception of the visitors showed the effects of the mobility in historic places. Tourism and mobility should foster preservation ethics nowadays. Additionally, it's possible to promote the use of less polluting transportation in historic places. It's achievable to design and install a light rail transit system (LRT) into the historic centre. For example, a good design could include an optimum track alignment for a LRT corridor on Madero Av. in the city of Aguascalientes, from the principal square to the main railroad station. This also could improve a sustainable development in the near future.

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Section: Methodsmentioning

confidence: 99%

Urban Mobility and Qualitative Research in Historic Places

Collazo

2018

WIT Transactions on the Built Environment

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“…EL Análisis Factorial de Correspondencia Múltiples (AFCM) es un método de visualización basado en estadísticas que le permite al analista representar y analizar gráficamente las asociaciones entre variables cualitativas y sus categorías P á g i n a 1385 (Husson et al,2016) y (Soares et al,2016). Un análisis de datos utilizando MCA requiere primero la construcción de la tabla de contingencia, es decir, una tabla de clasificación cruzada que contenga las frecuencias relativas a las variables discretas (Camiz y Gomes, 2016).…”

Section: Es Una Extensión Del Análisis De Correspondencias Simples (A...unclassified

Análisis factorial de correspondencias múltiples en la gestión riesgo operativo en las instituciones de educación superior: el caso del instituto tecnológico metropolitano

Cano Bedoya,

Sánchez Herrera,

Betancourt Achagua

2023

Ciencia Latina

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El objetivo de este trabajo es ilustrar una de las posibilidades a desarrollar para la gestión del Riesgo Operativo en las Instituciones de Educación Superior (IES), analizando el caso del Instituto Tecnológico Metropolitano (ITM). En la medición para la cuantificación del riesgo se tiene en cuenta la variable severidad que representa las pérdidas económicas. Se toma como punto de referencia algunos autores como los mencionados en el documento de Fernández (2009), enfocado en la gestión del riesgo operacional. Se aplica la técnica de Análisis Factorial de Correspondencias Múltiples (AFCM) para analizar los factores que impactan en el riesgo operativo. En los resultados se halla que a nivel operativo se presentan tres grupos de operación, a nivel de sistemas, bienes muebles y área física, a los cuales se les carga la responsabilidad en una gran parte de la atención operativa de la organización.

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“…There are two main methods for carrying out MCA; one involves the use of an indicator matrix and the other of a Burt matrix, obtained from an initial indicator matrix [44]. A fit analysis with the help of the X matrix and a fit analysis with the help of the X X matrix, which is called the Burt matrix, are equivalent to each other.…”

Section: Multiple Correspondence Analysis (Mca)mentioning

confidence: 99%

COVID-19 Pandemic Learning: The Uprising of Remote Detailing in Pharmaceutical Sector Using Sales Force Automation and Its Sustainable Impact on Continuing Medical Education

Altuntaş

Yalçın

2023

Sustainability

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The availability of resources is vital when rapid changes and updated medical information in the provision of care are needed, such as in the fight against COVID-19, which is not a conventional disease. Continuing medical education plays an essential role in preparing for and responding to such emergencies. Workflow has improved based on the virtual meetings, online trainings, and remote detailing conducted by medical representatives in order to deliver educational content instantly through digital tools, such as salesforce automation (SFA), webinars, etc. In terms of its regulatory barriers, the pharmaceutical industry mainly targets healthcare professionals, unlike most businesses that reach end users directly. Medical representatives are equipped with an SFA to enhance customer relationship management (CRM) and closed loop marketing (CLM) capabilities in pharmaceutical companies. This study aimed to fill a gap in the literature by investigating the use of SFA in work patterns, such as health professionals’ loyalty and involvement in their medical knowledge in Turkey, and how it allows for differentiating training from marketing. This study intended to compare the data on internists and medical products gathered from a well-known pharmaceutical company’s SFA. The data covered the first three months of the year 2020, when medical representatives had a normal daily routine, and that of 2021, when Turkey experienced the most powerful surge of the COVID-19 pandemic. The analysis was based on simple correspondence analysis (SCA) and multiple correspondence analysis (MCA) for 11 variables. Monitoring product, physician’s segment, and medical representatives’ behaviors with SFA had a significant influence on the pharma-physician relationship strategy, as expected. The findings supported the view that SFA technologies can be deployed to advance the medical knowledge of physicians, in addition to managing and designing superior CRM and CLM capabilities.

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Alternative Methods to Multiple Correspondence Analysis in Reconstructing the Relevant Information in a Burt's Table

Cited by 8 publications

References 20 publications

Urban Mobility and Qualitative Research in Historic Places

Urban Mobility and Qualitative Research in Historic Places

Análisis factorial de correspondencias múltiples en la gestión riesgo operativo en las instituciones de educación superior: el caso del instituto tecnológico metropolitano

COVID-19 Pandemic Learning: The Uprising of Remote Detailing in Pharmaceutical Sector Using Sales Force Automation and Its Sustainable Impact on Continuing Medical Education

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