Correspondence analysis of aggregate data: The table

Beh, Eric J.

doi:10.1016/j.jspi.2007.11.004

Cited by 19 publications

(37 citation statements)

References 9 publications

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“…Correspond analysis itself is focused on association rate, usually by chi-square measure. There are nominal variables as input into correspond analysis, and kind of premise, that there is no ordering between variables (McGarigal et al, 2000;Beh, 2008Beh, , 2010. Correspond analysis processes dimensional homogenous data which consist only positive values or zeros.…”

Section: Methodsmentioning

confidence: 99%

Agricultural Sector Performance Evaluation in Terms of Financial Indicators: A Comparison of Czech Republic, Slovakia and Western Balkan States

Hornungová¹,

Milichovský²

2018

Acta Univ. Agric. Silvic. Mendelianae Brun.

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Agriculture and food industry have become part of strategic areas for each country and each region of Europe. Important condition on companies in group A (according NACE classification) is fulfilling requirements of management in performance of financial area. Traditional financial indicators (calculated from accounting data) are still used to evaluate performance level, what have been considered to be the most appropriate approach over a long period of time in spite of different accounting and financial indicators. The main objective is to find crucial factors in the field of financial performance for agriculture companies in chosen region. Data from 10438 agricultural companies have been get from Amadeus database and analysed. For purpose of the paper there were used factor analysis, Pearson chi-square test for independence, and correspondence analysis. By application of factor analysis has reduced the basic set, originally formed by seven key financial indicators, into seven indexes according analysed countries. All observed factors were put into Pearson's chi-square test to indicate the dependency between indexes and (1) company size and (2) NACE classification. Finally, there was applied correspondence analysis, by which were found out clusters of countries, industries and size.

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Section: Methodsmentioning

confidence: 99%

Agricultural Sector Performance Evaluation in Terms of Financial Indicators: A Comparison of Czech Republic, Slovakia and Western Balkan States

Hornungová¹,

Milichovský²

2018

Acta Univ. Agric. Silvic. Mendelianae Brun.

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“…In the fact this method focuses on the multidimensional observations. Correspond analysis describes relation between both two nominal variables in pivot Beh, 2010Beh, , 2008.…”

Section: Methodsmentioning

confidence: 99%

An Impact of Reverse Logistics Activities on Marketing Communication

Milichovský

2017

Acta Univ. Agric. Silvic. Mendelianae Brun.

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The topic of reverse logistics has become very actual due the requirements of highly competitive market. This importance is made by significance of condition for environment-friendly production and purchasing around the world. Individual activities, which are included in reverse logistics, support entrepreneurs in their competitiveness to other companies and to own customers. The objective of the paper is to find relationship between marketing communication tool and activities of reverse logistics on behaviour of final customers in Czech Republic. A theoretical background from the area of reverse logistics supports this approach with data from primary research collected by the author. A data from primary research was used. The entire primary research focused on the evaluation of customers' perception in the area of reverse logistics in the Czech Republic by a questionnaire survey. Sample population was created by 1266 consumers' respondents, which were chosen in random way. There were returned questionnaires from 332 respondents. Questionnaire itself was distributed by only platform, during June 2016. The research itself was aimed at a random chosen group of people in the Czech Republic. Findings of the research shows connection of individual activities of reverse logistics and individual communication tools, which are well-accepted on customer side. The result of the research can be used for the companies that operate in the Czech or Central European market.

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“…This issue has a long history and dates back as far as Fisher (1935, p. 48) who focused on the case where one may ''blot out the contents of the table''. We shall consider this same issue but examine it by incorporating the classic odds ratio into a new index of association called the aggregate association index, also simply referred to as the AAI, proposed by Beh (2008Beh ( , 2010. It shall be shown that considering the odds ratio offers a simple alternative to considering the AAI and whose calculation is as easy as that considered in Beh (2008).…”

Section: Introductionmentioning

confidence: 99%

“…This will be achieved in the following 5 sections. Section 2 provides a review of Beh's (2008Beh's ( , 2010 AAI and Section 3 demonstrates how the odds ratio can be incorporated into this measure. The direction of the association structure, when only the marginal information is available is explored in Section 4 while Section 5 considers the application of the odds ratio-AAI link using two data sets.…”

Section: Introductionmentioning

confidence: 99%

“…The direction of the association structure, when only the marginal information is available is explored in Section 4 while Section 5 considers the application of the odds ratio-AAI link using two data sets. The first is the classic twin data of Fisher (1935) and was considered by Beh (2008Beh ( , 2010 in his development of the AAI. The second 2 × 2 table is based on the study conducted by Hudson et al (2010) and considers data obtained from the 1893 national election held in New Zealand.…”

Section: Introductionmentioning

confidence: 99%

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A reformulation of the aggregate association index using the odds ratio

Beh

Tran

Hudson

2013

Computational Statistics & Data Analysis

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a b s t r a c tSince its inception in the 1950s the odds ratio has become one of the most simple and popular measures available for analysing the association between two dichotomous variables. Since the direction and magnitude of the association can be captured in such a simple measure, its impact has been felt throughout much of scientific research, in particular in epidemiology and clinical trials. Despite this, its applicability for analysing aggregate data has rarely been considered. In this paper we shall express a new measure of association (the aggregate association index, or AAI), in terms of the classic odds ratio. The advantage of doing so is that we are able to explore the use of the odds ratio in a context for which it was not originally intended, and that is for the analysis of a 2 × 2 table where only the aggregate data is known.Crown

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Correspondence analysis of aggregate data: The table

Cited by 19 publications

References 9 publications

Agricultural Sector Performance Evaluation in Terms of Financial Indicators: A Comparison of Czech Republic, Slovakia and Western Balkan States

Agricultural Sector Performance Evaluation in Terms of Financial Indicators: A Comparison of Czech Republic, Slovakia and Western Balkan States

An Impact of Reverse Logistics Activities on Marketing Communication

A reformulation of the aggregate association index using the odds ratio

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