scholarly journals Bourdieu in de buurt : Sociale klassendebat en de klassenstructuur van Rotterdam

Sociologie ◽  
2020 ◽  
Vol 15 (2) ◽  
pp. 117-147
Author(s):  
Gijs Custers ◽  
Godfried Engbersen
Keyword(s):  
Latent Class Analysis ◽  
Latent Class ◽  
Research Approach ◽  
Class Analysis ◽  
Social And Cultural Capital ◽  
New Class ◽  
Social Mix ◽  
The Social ◽  
New Research

Abstract Studies by Savage et al. (2013) and Vrooman, Gijsberts and Boelhouwer (2014) introduce new class typologies that combine Bourdieu’s work with latent class analysis. This paper identifies this new research approach as Bourdieusian latent class analysis. We discuss the role of these studies within the social class debate and we review the merits and limitations of this approach. In addition, we show how the class structure of Rotterdam can be empirically established by studying the distribution of economic, social and cultural capital. We use the Neighbourhood Profile data (N = 14,040; 71 neighbourhoods) to develop a class typology that includes eight social groups. This class typology complements conventional indicators of neighbourhood socioeconomic status and can be used to study ‘social mix’ and gentrification.

scholarly journals Mental disorders pattern in staff of a military unit in Iran: the role of metabolic syndrome on latent class membership

2021 ◽  
Vol 21 (1) ◽  
Author(s):  
Abbas Abbasi-Ghahramanloo ◽  
Mohammadkarim Bahadori ◽  
Esfandiar Azad ◽  
Nooredin Dopeykar ◽  
Parisa Mahdizadeh ◽  
...  
Keyword(s):  
Metabolic Syndrome ◽  
Mental Disorders ◽  
Latent Class Analysis ◽  
Latent Class ◽  
Adult Population ◽  
Class Analysis ◽  
Class Membership ◽  
Anthropometric Measures ◽  
Military Unit

Abstract Introduction Mental disorders are among the most prevalent health problems of the adult population in the world. This study aimed to identify the subgroups of staff based on mental disorders and assess the independent role of metabolic syndrome (MetS) on the membership of participants in each latent class. Methods This cross-sectional study was conducted among 694 staff of a military unit in Tehran in 2017. All staff of this military unit was invited to participate in this study. The collected data included demographic characteristics, anthropometric measures, blood pressure, biochemical parameters, and mental disorders. We performed latent class analysis using a procedure for latent class analysis (PROC LCA) in SAS to identify class membership of mental disorders using Symptom Checklist-90. Results Three latent classes were identified as healthy (92.7%), mild (4.9%), and severe (2.4%) mental disorders. Having higher age significantly decreased the odds of belonging to the mild class (adjusted OR (aOR = 0.21; 95% confidence interval (CI): 0.05–0.83) compared to the healthy class. Also, obesity decreased the odds of membership in mild class (aOR = 0.10, 95% CI: 0.01–0.92) compared to healthy class. On the other hand, being female increased the odds of being in severe class (aOR = 9.76; 95% CI: 1.35–70.65) class in comparison to healthy class. Conclusion This study revealed that 7.3% of staff fell under mild and severe classes. Considering educational workshops in the workplace about mental disorders could be effective in enhancing staff’s knowledge of these disorders. Also, treatment of comorbid mental disorders may help reduce their prevalence and comorbidity.

scholarly journals Exploring symptoms of somatization in chronic widespread pain: latent class analysis and the role of personality

2017 ◽  
Vol Volume 10 ◽  
pp. 1733-1740 ◽  
Author(s):  
Andrea Burri ◽  
Peter Hilpert ◽  
Peter McNair ◽  
Frances Williams
Keyword(s):  
Latent Class Analysis ◽  
Latent Class ◽  
Chronic Widespread Pain ◽  
Widespread Pain ◽  
Class Analysis

Latent class analysis identification of syndromes in Alzheimer's disease

2006 ◽  
Vol 3 (1) ◽  
Author(s):  
Cathal Walsh
Keyword(s):  
Social Sciences ◽  
Alzheimer’S Disease ◽  
Alzheimer's Disease ◽  
Latent Class Analysis ◽  
Posterior Distribution ◽  
Latent Variable ◽  
Latent Class ◽  
Bayesian Framework ◽  
Class Analysis ◽  
The Social

Latent variable models have been used extensively in the social sciences. In this work a latent class analysis is used to identify syndromes within Alzheimer's disease. The fitting of the model is done in a Bayesian framework, and this is examined in detail here. In particular, the label switching problem is identified, and solutions presented. Graphical summaries of the posterior distribution are included.

Profiling cancer-related needs and the role of physical, practical and psychological difficulties: A latent class analysis approach.

2018 ◽  
Vol 36 (15_suppl) ◽  
pp. e22161-e22161
Author(s):  
Alessandro Rossi ◽  
Maria Marconi ◽  
Stefania Mannarini ◽  
India Minelli ◽  
Chiara Rossini ◽  
...  
Keyword(s):  
Latent Class Analysis ◽  
Latent Class ◽  
Analysis Approach ◽  
Class Analysis ◽  
Psychological Difficulties

Netnography

2014 ◽  
pp. 1496-1511
Author(s):  
Guido Lang ◽  
Stanislav Mamonov ◽  
Karl R. Lang
Keyword(s):  
Virtual Community ◽  
Research Community ◽  
Future Research ◽  
Research Approach ◽  
The Social ◽  
The Subject ◽  
Community Environments ◽  
New Research ◽  
Insight Into

The advent of the Internet has facilitated many new forms of communication and thus has laid the foundation for new forms of interaction and social organization. The challenges of gaining insight into the social processes that occur in these newly emerging digital spaces require the development of new research approaches and methodologies. Netnography, or Internet ethnography, is one such example. It focuses on gaining cultural insights from virtual community environments and was originally developed for consumer research in the field of marketing, but has since been used in a number of other fields, including urban planning. This chapter examines the philosophical assumptions and specific methods of netnography as a newly emerging research approach. Findings from a qualitative analysis of ten cases of published netnography studies reveal differences in both philosophical assumptions and uses as a research methodology, including the subject of research – community – and the role of the researcher. The chapter closes with some recommendations and a call for future research.

Netnography

2012 ◽  
pp. 233-248
Author(s):  
Guido Lang ◽  
Stanislav Mamonov ◽  
Karl R. Lang
Keyword(s):  
Virtual Community ◽  
Research Community ◽  
Future Research ◽  
Research Approach ◽  
The Social ◽  
The Subject ◽  
Community Environments ◽  
New Research ◽  
Insight Into

The advent of the Internet has facilitated many new forms of communication and thus has laid the foundation for new forms of interaction and social organization. The challenges of gaining insight into the social processes that occur in these newly emerging digital spaces require the development of new research approaches and methodologies. Netnography, or Internet ethnography, is one such example. It focuses on gaining cultural insights from virtual community environments and was originally developed for consumer research in the field of marketing, but has since been used in a number of other fields, including urban planning. This chapter examines the philosophical assumptions and specific methods of netnography as a newly emerging research approach. Findings from a qualitative analysis of ten cases of published netnography studies reveal differences in both philosophical assumptions and uses as a research methodology, including the subject of research – community – and the role of the researcher. The chapter closes with some recommendations and a call for future research.

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