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 6 publications

(3 citation statements)

References 19 publications

(29 reference statements)

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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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“…Tateneni and Browne () showed by example that their approach to performing JCA provides solutions which are virtually identical to those using Greenacre's () algorithm. One may also read the more recent publications of Camiz and Gomes (, ) for additional comments on JCA.…”

Section: Multiple Correspondence Analysismentioning

confidence: 99%

Multiple and multiway correspondence analysis

Beh

Lombardo²

2019

WIREs Computational Stats

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One of the most popular, and versatile, ways of visually analyzing the associating between categorical data is to perform a correspondence analysis on the contingency table that is formed from their cross‐classification. Traditionally the analysis of multiple categorical variables involves transforming such a table into a two‐way form through “flattening,” stacking or by some other means; doing so leads to simple or multiple correspondence analysis. Although such a transformation does not always preserve some of the truly multivariate nature of the association. Therefore one may instead adopt the less common multiway correspondence analysis. This paper will briefly explore the development, literature, and possible research opportunities of multiple and multiway correspondence analysis. This article is categorized under: Statistical and Graphical Methods of Data Analysis > Multivariate Analysis Statistical and Graphical Methods of Data Analysis > Dimension Reduction Data: Types and Structures > Categorical Data

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“…As the distance from the origin increases, it is possible to observe the categorical variables effective on the relevant dimension. In the correspondence analysis, it is aimed to fracture total inertia value obtained by Pearson chi-square values instead of variance values or using Euclidian distances among variable categories (Camiz & Gomes, 2016). The corresponding term of variance used in other multivariate statistical analyses is the term of inertia in correspondence analysis.…”

Section: Introductionmentioning

confidence: 99%

Comparison of Academic Structure of Universities in Turkey by Multiple Correspondence Analysis Method

Sebetci¹,

Aksu²

2019

IJLTER

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The purpose of this study is to reveal the similarities and differences between the universities in Turkey with regard to the numbers of academicians and departments. Within the scope of this objective, we included the first 100 universities among the total 185 universities in Turkey according the URAP data by the criterion sampling method. Conformity analysis, one of the multivariate statistical methods, was used in the data analysis. A two-dimensional graphic is obtained including the points representing the variable categories in the multi-dimensional space by using mathematical models to determine the structures of crosstabs consisting of the rows and columns through multiple conformity analysis. As a result of the study, it was determined that there was a conformity between the Ankara, Odtü, Marmara, Gazi, Hacettepe, İstanbul, Atatürk and İnönü Universities. In addition, a conformity was determined between the Ankara, İstanbul, İstanbul Teknik, Ege and Başkent universities according to the professor numbers within the academician categories. It was determined that there was no conformity between the Özyeğin, Bilkent, Kadir Has, Sabancı, Bahçeşehir, Koç and İstanbul Ticaret Universities regarding the variables addressed within the study. Based on the study, it is suggested that similar studies of multiple conformity analysis should be repeated with the different data groups.

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

Cited by 6 publications

References 19 publications

Urban Mobility and Qualitative Research in Historic Places

Urban Mobility and Qualitative Research in Historic Places

Multiple and multiway correspondence analysis

Comparison of Academic Structure of Universities in Turkey by Multiple Correspondence Analysis Method

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