scholarly journals Multiple correspondence analysis as a tool in sociological research

Sociologija ◽  
2021 ◽  
Vol 63 (1) ◽  
pp. 26-49
Author(s):  
Ivica Mladenovic
Keyword(s):  
Social Sciences ◽  
Correspondence Analysis ◽  
Multiple Correspondence Analysis ◽  
Empirical Studies ◽  
Sociological Research ◽  
Jean Paul ◽  
Theoretical Assumptions ◽  
Supplementary Variables ◽  
The 1960S ◽  
Dimensional Graph

Multiple correspondence analysis is a form of a factorial multivariate data analysis which helps us summarize a large quantity of information with assistance of modern statistical programs. In this way, sociological correlations - which are then visually represented on a two-dimensional graph - are established between a certain number of active and supplementary variables, i.e. between the positions, dispositions and position-takings (French: prises de position) by the analyzed agents. It is a research tool initially introduced by a statistician Jean- Paul Benz?cri in the humanities and social sciences in the 1960s. Since the early 1970s, thanks to Pierre Burdieu, this methodological procedure has become an indispensable instrument in the empirical studies of sociologists who were familiar with structuralist approach in sociology. This paper consists of two main sections. The first one sets out the basic theoretical assumptions and methodological properties of multiple correspondence analysis. The aim of the second section is to give a brief recital of one particular research - i.e. its features and results - in order to get the interested sociological public aquaitned with it?s practicle potentials of this tool.

scholarly journals Farming Practices for Reducing Ammonia Emissions in Polish Agriculture

Atmosphere ◽  
2020 ◽  
Vol 11 (12) ◽  
pp. 1353
Author(s):  
Arkadiusz Piwowar
Keyword(s):  
Correspondence Analysis ◽  
Multiple Correspondence Analysis ◽  
Empirical Studies ◽  
Feed Additives ◽  
Plant Production ◽  
Nitrogen Fertilizers ◽  
Ammonia Emissions ◽  
Low Carbon ◽  
Mineral Fertilization ◽  
Economic Size

The main source of ammonia emissions in Poland is agriculture. In 2017, approximately 94% of the total ammonia emissions in Poland came from agriculture, of which the largest part (78%) was related to livestock manure and 22% to nitrogen fertilization. This study presents the results of representative research on the implementation of technologies and techniques that reduce ammonia emissions on farms in Poland. The research methodology, including statistical data analysis (multiple correspondence analysis), allowed comparisons to be made of the applied low-carbon practices, taking into account farmers’ characteristics (e.g., age and education) and farm attributes (area size, location, etc.). According to the research, both in the case of mineral fertilization and animal production, farmers in Poland relatively rarely undertake pro-ecological practices aimed at reducing ammonia emissions. The most frequently undertaken activities include dividing the doses of nitrogen fertilizers (in terms of plant production) and the use of feed additives (in terms of livestock production). Empirical studies, supported by correspondence analyses, confirmed a significant differentiation of coexistence and strength of the relationship between the studied variables. The use of correspondence analysis made it possible to precisely recognize the differentiation and co-occurrence of variable categories. In the course of analytical work, a relatively strong correlation was found between the use of divided doses of nitrogen fertilizers and the economic size of farms (φ2 = 0.11571). In turn, the use of feed additives was most strongly determined by the economic size of farms (φ2 = 0.072614) and the location of farms (φ2 = 0.072223).

Multiple Correspondence Analysis and Geometric Data Analysis

2021 ◽  
pp. 177-184
Author(s):  
Amal Tawfik ◽  
Stephan Davidshofer
Keyword(s):  
Data Analysis ◽  
Correspondence Analysis ◽  
Multiple Correspondence Analysis ◽  
Principal Component ◽  
Categorical Variables ◽  
Large Set ◽  
Geometric Data ◽  
Jean Paul ◽  
Geometric Data Analysis ◽  
Or Groups

This chapter focuses on multiple correspondence analysis (MCA), which is a factor analysis statistical method used to analyse relations between a large set of categorical variables. Developed by Jean-Paul Benzécri in the early 1970s, MCA is one of the principal methods of geometric data analysis (GDA). Three different statistical methods can be identified as GDA: correspondence analysis (CA), which enables the cross-tabulation of two categorical variables; MCA for the analysis of a matrix of individuals and categorical variables; and principal component analysis (PCA), which uses numerical variables. In GDA, data is represented as a cloud of points to allow statistical interpretations. Although MCA is a relational method, it differs from social network analysis (SNA) as it focuses on the objective relations that characterize actors or groups, rather than the effective relations.

scholarly journals Climate emotions and emotional climates: The emotional map of ecological crises and the blind spots on our sociological landscapes

2021 ◽  
pp. 053901842199626
Author(s):  
Sighard Neckel ◽  
Martina Hasenfratz
Keyword(s):  
Social Sciences ◽  
Climate Change ◽  
Empirical Studies ◽  
Public Debate ◽  
Sociological Research ◽  
The Public ◽  
Environmental Destruction ◽  
Ecological Problems ◽  
Negative Feelings ◽  
Blind Spots

The public debate on climate change and environmental destruction belongs to those social conflicts that are carried out with an especially great emotional intension. In these disputes, the facet of emotions ranges from negative feelings such as shame, guilt and grief, to positive ones such as hope and compassion. In our paper, we put a focus on these feelings, drawing a conceptual map of emotions triggered by ecological crises. In doing so, our aim is to highlight the ambivalences of the intense emotionality of climate change and its societal effects. The great attention and the reflexivity accorded to ‘climate emotions’, however, should not obscure the view towards those emotional dynamics that are responsible for concealing and denying ecological problems. Based on ethnographic and other empirical studies from social sciences we outline that it is precisely these little-illuminated aspects of emotional re-framing and public emotional silence, which often turn out to be particularly consequential moments in politics. Hence, the emotional motives behind the scene should not go unnoticed in sociological research on emotions within the ecological crises.

The Remembered Anthropologist: Engaging with the Insights of M. N. Srinivas

2020 ◽  
Vol 69 (2) ◽  
pp. 224-240
Author(s):  
Nita Mathur
Keyword(s):  
Social Sciences ◽  
Nation Building ◽  
Sociological Research ◽  
Contemporary Society ◽  
Social Anthropology ◽  
General Sense ◽  
Wide Range ◽  
The World ◽  
Village Studies ◽  
Specific Sense

The plethora of M. N. Srinivas’s articles and books covering a wide range of subjects from village studies to nation building, from dominant caste in Rampura village to nature and character of caste in independent India, and from prospects of sociological research in Gujarat to practicing social anthropology in India have largely influenced the understanding of society and culture for well over five decades. Additionally, he meticulously wrote itineraries, memoirs and personal notes that provide a glimpse of his inner being, influences, ideologies, thought all of which have inspired a large number of and social anthropologists and sociologists across the world. It is then only befitting to explore the major concerns in the life and intellectual thought of one whose pioneering contributions have been the milestones in the fields of social anthropology and sociology in a specific sense and of social sciences in India in a general sense. This article centres around/brings to light the academic concerns that Srinivas grappled with the new avenues of thought and insights that developed consequently, and the extent of his rendition their relevance in framing/understanding contemporary society and culture in India.

scholarly journals Informed Geoheritage Conservation: Determinant Analysis Based on Bibliometric and Sustainability Indicators Using Ordination Techniques

Land ◽  
2021 ◽  
Vol 10 (5) ◽  
pp. 539
Author(s):  
Boglárka Németh ◽  
Károly Németh ◽  
Jon N. Procter
Keyword(s):  
Correspondence Analysis ◽  
Conservation Planning ◽  
Earth Science ◽  
Multiple Correspondence Analysis ◽  
Contributing Factors ◽  
Usual Model ◽  
Development Indicators ◽  
Individual Variables ◽  
Business As Usual ◽  
World Development

Ordination methods are used in ecological multivariate statistics in order to reduce the number of dimensions and arrange individual variables along environmental variables. Geoheritage designation is a new challenge for conservation planning. Quantification of geoheritage to date is used explicitly for site selection, however, it also carries significant potential to be one of the indicators of sustainable development that is delivered through geosystem services. In order to achieve such a dominant position, geoheritage needs to be included in the business as usual model of conservation planning. Questions about the quantification process that have typically been addressed in geoheritage studies can be answered more directly by their relationships to world development indicators. We aim to relate the major informative geoheritage practices to underlying trends of successful geoheritage implementation through statistical analysis of countries with the highest trackable geoheritage interest. Correspondence analysis (CA) was used to obtain information on how certain indicators bundle together. Multiple correspondence analysis (MCA) was used to detect sets of factors to determine positive geoheritage conservation outcomes. The analysis resulted in ordination diagrams that visualize correlations among determinant variables translated to links between socio-economic background and geoheritage conservation outcomes. Indicators derived from geoheritage-related academic activity and world development metrics show a shift from significant Earth science output toward disciplines of strong international agreement such as tourism, sustainability and biodiversity. Identifying contributing factors to conservation-related decisions helps experts to tailor their proposals for required evidence-based quantification reports and reinforce the scientific significance of geoheritage.

scholarly journals The Relevance of Inequality Research in Sociology for Inequality Reduction

2021 ◽  
Vol 7 ◽  
pp. 237802312110201
Author(s):  
Thomas A. DiPrete ◽  
Brittany N. Fox-Williams
Keyword(s):  
Social Sciences ◽  
Social Policy ◽  
Social Inequality ◽  
Large Scale ◽  
Sociological Research ◽  
Life Chances ◽  
The Past ◽  
The Social ◽  
Large Scale Change ◽  
The Subject

Social inequality is a central topic of research in the social sciences. Decades of research have deepened our understanding of the characteristics and causes of social inequality. At the same time, social inequality has markedly increased during the past 40 years, and progress on reducing poverty and improving the life chances of Americans in the bottom half of the distribution has been frustratingly slow. How useful has sociological research been to the task of reducing inequality? The authors analyze the stance taken by sociological research on the subject of reducing inequality. They identify an imbalance in the literature between the discipline’s continual efforts to motivate the plausibility of large-scale change and its lesser efforts to identify feasible strategies of change either through social policy or by enhancing individual and local agency with the potential to cumulate into meaningful progress on inequality reduction.

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