Socioeconomic Classification of the Working-Age Brazilian Population: A Joint Latent Class Analysis Using Social Class and Asset-Based Perspectives
نویسندگان
چکیده
منابع مشابه
An application of Measurement error evaluation using latent class analysis
Latent class analysis (LCA) is a method of evaluating non sampling errors, especially measurement error in categorical data. Biemer (2011) introduced four latent class modeling approaches: probability model parameterization, log linear model, modified path model, and graphical model using path diagrams. These models are interchangeable. Latent class probability models express l...
متن کاملClustering and combining pattern of metabolic syndrome components among Iranian population with latent class analysis
Background: Metabolic syndrome (MetS), a combination of coronary heart disease and diabetes mellitus risk factor, refer to one of the most challenging public health issues in worldwide. The aim of this study was to identify the subgroups of participants in a study on the basis of MetS components. Methods: The cross-sectional study took place in the districts related to Teh...
متن کاملLatent Class Analysis of the cardiometabolic risk factors in children and adolescents: the CASPIAN-V study
Background: Cardio-metabolic syndrome indicates the clustering of several risk factors. The aims of this study were to identify the subgroups of the Iranian children and adolescents on the basis of the components of the cardio-metabolic syndrome and assess the role of demographic characteristics, socioeconomic status and life style related behaviors on the membership of participants in each lat...
متن کاملSocial Media Writing and Social Class: A Correlational Analysis of Adolescent CMC and Social Background
In a large social media corpus (2.9 million tokens), we analyze Flemish adolescents’ non-standard writing practices and look for correlations with the teenagers’ social class. Three different aspects of adolescents’ social background are included: educational track, parental profession, and home language. Since the data reveal that these parameters are highly correlated, we combine them into on...
متن کاملVirtual Social Networks Addiction and High-Risk Group among Health Science Students in Iran: A Latent Class Analysis
Background and purpose: Virtual social networks (VSNs) are among the most popular communication paths that have become an integral part of most people's lives, including students. This study aimed to investigate the prevalence of VSNs addiction and their related factors, and identify the patterns of addictive-related factors among the students in Kerman, Iran in 2019. Materials and Methods: Th...
متن کاملذخیره در منابع من
با ذخیره ی این منبع در منابع من، دسترسی به آن را برای استفاده های بعدی آسان تر کنید
ژورنال
عنوان ژورنال: Social Indicators Research
سال: 2017
ISSN: 0303-8300,1573-0921
DOI: 10.1007/s11205-017-1710-5