scholarly journals Effects of socioeconomic status on the use of written language: does it extend into Brazilian Higher Education?

2021 ◽  
Author(s):  
Kaizô Iwakami Beltrão ◽  
Mônica Mandarino ◽  
Ricardo Servare Megahós ◽  
Mônica Guerra Ferreira Pedrosa
Keyword(s):  
Socioeconomic Status ◽  
Written Language ◽  
Proficiency Tests ◽  
Linguistic Performance ◽  
Socioeconomic Groups ◽  
Class Differences ◽  
Financial Autonomy ◽  
The Social ◽  
Knowledge Area ◽  
Popular Classes

Abstract Bourdieu and Passeron defended the thesis that the school was the main locus to legitimate and perpetuate class differences. This is reinforced by the multiple proficiency tests used to monitor public policies, which privilege the use of the formal language as part of the instruments and, therefore, penalizes participants with less mastery of the language. We adjusted two hierarchical models with Enade’s results on standard Portuguese grades, using as covariates, indicators of students’ socioeconomic status and economic independence and average values for these variables for the knowledge areas. The linguistic performance is disaggregated into three aspects: textual, orthographic and vocabulary/morphosyntactic. More affluent socioeconomic groups have greater proficiency in the Enade Portuguese Language component, even when controlling for the knowledge area average socio-economic level and financial autonomy of the students. The socioeconomic effect is not as strong as on lower educational level: university students constitute a rather homogeneous group. This reinforces Bourdieu’s thesis that through the social, cultural and economic capital still prevails the domination of wealthier classes over more popular classes, reinforcing the inequality.

scholarly journals Changes in cannabis use according to socioeconomic status among Finnish adolescents from 2000 to 2015

2020 ◽  
Vol 2 (1) ◽  
Author(s):  
Noora Knaappila ◽  
Mauri Marttunen ◽  
Sari Fröjd ◽  
Nina Lindberg ◽  
Riittakerttu Kaltiala
Keyword(s):  
Socioeconomic Status ◽  
Parental Education ◽  
Population Based ◽  
Cannabis Use ◽  
Chi Square ◽  
Socioeconomic Groups ◽  
Parental Unemployment ◽  
The Usa ◽  
Chi Square Test ◽  
School Survey

Abstract Background Despite reduced sanctions and more permissive attitudes toward cannabis use in the USA and Europe, the prevalences of adolescent cannabis use have remained rather stable in the twenty-first century. However, whether trends in adolescent cannabis use differ between socioeconomic groups is not known. The aim of this study was to examine trends in cannabis use according to socioeconomic status among Finnish adolescents from 2000 to 2015. Methods A population-based school survey was conducted biennially among 14–16-year-old Finns between 2000 and 2015 (n = 761,278). Distributions for any and frequent cannabis use over time according to socioeconomic adversities were calculated using crosstabs and chi-square test. Associations between any and frequent cannabis use, time, and socioeconomic adversities were studied using binomial logistic regression results shown by odds ratios with 95% confidence intervals. Results At the overall level, the prevalences of lifetime and frequent cannabis use varied only slightly between 2000 and 2015. Cannabis use was associated with socioeconomic adversities (parental unemployment in the past year, low parental education, and not living with both parents). The differences in any and frequent cannabis use between socioeconomic groups increased significantly over the study period. Conclusions Although the overall changes in the prevalence of adolescent cannabis use were modest, cannabis use increased markedly among adolescents with the most socioeconomic adversities. Socioeconomic adversities should be considered in the prevention of adolescent cannabis use.

scholarly journals Studying individual differences in the social environment to better understand language learning and processing

2016 ◽  
Vol 2 (s1) ◽  
Author(s):  
Shiri Lev-Ari
Keyword(s):  
Second Language ◽  
Individual Differences ◽  
Second Language Acquisition ◽  
Language Acquisition ◽  
Language Learning ◽  
Social Environment ◽  
Native Speakers ◽  
Linguistic Performance ◽  
The Social

AbstractPeople learn language from their social environment. Therefore, individual differences in the input that their social environment provides could influence their linguistic performance. Nevertheless, investigation of the role of individual differences in input on performance has been mostly restricted to first and second language acquisition. In this paper I argue that individual differences in input can influence linguistic performance even in adult native speakers. Specifically, differences in input can affect performance by influencing people’s knowledgebase, by modulating their processing manner, and by shaping expectations. Therefore, studying the role that individual differences in input play can improve our understanding of how language is learned, processed and represented.

Prevalence of Mental Disorders by Socioeconomic Status in Australia: A Cross-Sectional Epidemiological Study

2020 ◽  
pp. 089011712096865
Author(s):  
Rubayyat Hashmi ◽  
Khorshed Alam ◽  
Jeff Gow ◽  
Sonja March
Keyword(s):  
Mental Health ◽  
Risk Factors ◽  
Socioeconomic Status ◽  
Mental Disorders ◽  
National Health Survey ◽  
Cross Sectional ◽  
Lower Odds ◽  
Socioeconomic Groups ◽  
Income Groups ◽  
Weighted Prevalence

Purpose: To present the prevalence of 3 broad categories of mental disorder (anxiety-related, affective and other disorders) by socioeconomic status and examine the associated socioeconomic risk factors of mental disorders in Australia. Design: A population-based, cross-sectional national health survey on mental health and its risk factors across Australia. Setting: National Health Survey (NHS), 2017-2018 conducted by the Australian Bureau of Statistics (ABS) Participants: Under aged: 4,945 persons, Adult: 16,370 persons and total: 21,315 persons Measures: Patient-reported mental disorder outcomes Analysis: Weighted prevalence rates by socioeconomic status (equivalised household income, education qualifications, Socio-Economic Index for Areas (SEIFA) scores, labor force status and industry sector where the adult respondent had their main job) were estimated using cross-tabulation. Logistic regression utilizing subsamples of underage and adult age groups were analyzed to test the association between socioeconomic status and mental disorders. Results: Anxiety-related disorders were the most common type of disorders with a weighted prevalence rate of 20.04% (95% CI: 18.49-21.69) for the poorest, 13.85% (95% CI: 12.48-15.35) for the richest and 16.34% (95% CI: 15.7-17) overall. The weighted prevalence rate for mood/affective disorders were 20.19% (95% CI: 18.63-21.84) for the poorest, 9.96% (95% CI: 8.79-11.27) for the richest, and 13.57% (95% CI: 12.99-14.17) overall. Other mental disorders prevalence were for the poorest: 9.07% (95% CI: 7.91-10.39), the richest: 3.83% (95% CI: 3.14-4.66), and overall: 5.93% (95% CI: 5.53-6.36). These patterns are also reflected if all mental disorders were aggregated with the poorest: 30.97% (95% CI: 29.15-32.86), the richest: 19.59% (95% CI: 18.02-21.26), and overall: 23.93% (95% CI: 23.19-24.69). The underage logistic regression model showed significant lower odds for the middle (AOR: 0.75, 95% CI: 0.53 -1.04, p < 0.1), rich (AOR: 0.71, 95% CI: 0.5-0.99, p < 0.05) and richest (AOR: 0.6, 95% CI: 0.41-0.89, p < 0.01) income groups. Similarly, in the adult logistic model, there were significant lower odds for middle (AOR: 0.84, 95% CI: 0.72-0.98, p < 0.05), rich (AOR: 0.73, 95% CI: 0.62-0.86, p < 0.01) and richest (AOR: 0.76, 95% CI: 0.63-0.91, p < 0.01) income groups. Conclusion: The prevalence of mental disorders in Australia varied significantly across socioeconomic groups. Knowledge of different mental health needs in different socioeconomic groups can assist in framing evidence-based health promotion and improve the targeting of health resource allocation strategies.

scholarly journals Evaluation of the interactionist model of socioeconomic status and problem behavior: A developmental cascade across generations

2010 ◽  
Vol 22 (3) ◽  
pp. 695-713 ◽  
Author(s):  
Monica J. Martin ◽  
Rand D. Conger ◽  
Thomas J. Schofield ◽  
Shannon J. Dogan ◽  
Keith F. Widaman ◽  
...  
Keyword(s):  
Socioeconomic Status ◽  
Problem Behavior ◽  
Human Development ◽  
Problem Behaviors ◽  
Family Stress ◽  
Individual Characteristics ◽  
Social Selection ◽  
Social Causation ◽  
Adolescent Problem Behavior ◽  
The Social

AbstractThe current multigenerational study evaluates the utility of the interactionist model of socioeconomic influence on human development (IMSI) in explaining problem behaviors across generations. The IMSI proposes that the association between socioeconomic status (SES) and human development involves a dynamic interplay that includes both social causation (SES influences human development) and social selection (individual characteristics affect SES). As part of the developmental cascade proposed by the IMSI, the findings from this investigation showed that Generation 1 (G1) adolescent problem behavior predicted later G1 SES, family stress, and parental emotional investments, as well as the next generation of children's problem behavior. These results are consistent with a social selection view. Consistent with the social causation perspective, we found a significant relation between G1 SES and family stress, and in turn, family stress predicted Generation 2 (G2) problem behavior. Finally, G1 adult SES predicted both material and emotional investments in the G2 child. In turn, emotional investments predicted G2 problem behavior, as did material investments. Some of the predicted pathways varied by G1 parent gender. The results are consistent with the view that processes of both social selection and social causation account for the association between SES and human development.

Introduction to the Special Issue: Males of Color and School Counseling

2021 ◽  
Vol 25 (1_part_4) ◽  
pp. 2156759X2110400
Author(s):  
James L. Moore ◽  
Erik M. Hines ◽  
Paul C. Harris
Keyword(s):  
Socioeconomic Status ◽  
School Counseling ◽  
School Counselors ◽  
Social Economic ◽  
Well Being ◽  
Special Issue ◽  
Policy And Practice ◽  
Qualitative And Quantitative ◽  
Rural Settings ◽  
The Social

The sense of urgency for addressing the concerns of males of color cannot be overstated. The reality of racial discrimination and trauma is present for males of color in urban, suburban, and rural settings and regardless of their socioeconomic status. Such oppressive conditions in education, criminal justice, health, and employment, for example, wreak havoc on their overall well-being and advancement in society. Until the systems constraining the progress of males of color are addressed through substantive policy and practice, the social, economic, and educational struggles will persist. This special issue presents 19 theoretical, qualitative, and quantitative articles focusing specifically on the experiences of males of color in educational settings and the importance of school counselors in helping them to thrive.

Biological Aspects of a High Socio-Economic Group

1970 ◽  
Vol 2 (1) ◽  
pp. 1-16 ◽  
Author(s):  
John B. Gibson
Keyword(s):  
Social Class ◽  
Social Stratification ◽  
Educational Opportunity ◽  
Population Sample ◽  
Stabilizing Selection ◽  
Class Differences ◽  
Social Scale ◽  
The Social ◽  
Biological Aspects ◽  
The Mean

Data are presented on the social backgrounds and IQs of a sample of scientists, their male sibs and their fathers. The range of IQ in the scientists is similar to the range of scores expected of the higher 25% of a representative general population sample.The IQs of the scientists showed a positive correlation with social class. Differences in IQ between the scientists and their fathers in each social class are related to the distance the scientists have moved up the social scale. In the twenty-two families in which the IQs of the father and two male sibs are known the upwardly mobile sibs tend to have higher IQs than the non-mobile or downwardly mobile sibs.In Class II there is evidence that stabilizing selection operates on IQ to maintain the mean IQ level. The effect on social stratification of such selection, together with increased educational opportunity, is discussed.

scholarly journals Leave No Child Behind: Using Data from 1.7 Million Children from 67 Developing Countries to Measure Inequality Within and Between Groups of Births and to Identify Left Behind Populations

2020 ◽  
Author(s):  
Antonio P. Ramos ◽  
Robert E. Weiss ◽  
Martin Flores
Keyword(s):  
Risk Factors ◽  
Socioeconomic Status ◽  
Mortality Risk ◽  
Rural Areas ◽  
Socioeconomic Group ◽  
Policy Makers ◽  
Socioeconomic Groups ◽  
Mortality Risks ◽  
Multiple Risk Factors ◽  
Left Behind

Background: Goal 3.2 from the Sustainable Development Goals (SDG) calls for reductions in national averages of Under-5 Mortality. However, it is well known that within countries these reductions can coexist with left behind populations that have mortality rates higher than national averages. To measure inequality in under-5 mortality and to identify left behind populations, mortality rates are often disaggregated by socioeconomic status within countries. While socioeconomic disparities are important, this approach does not quantify within group variability since births from the same socioeconomic group may have different mortality risks. This is the case because mortality risk depends on several risk factors and their interactions and births from the same socioeconomic group may have different risk factor combinations. Therefore mortality risk can be highly variable within socioeconomic groups. We develop a comprehensive approach using information from multiple risk factors simultaneously to measure inequality in mortality and to identify left behind populations. Methods: We use Demographic and Health Surveys (DHS) data on 1,691,039 births from 182 different surveys from 67 low and middle income countries, 51 of which had at least two surveys. We estimate mortality risk for each child in the data using a Bayesian hierarchical logistic regression model. We include commonly used risk factors for monitoring inequality in early life mortality for the SDG as well as their interactions. We quantify variability in mortality risk within and between socioeconomic groups and describe the highest risk sub-populations. Findings: For all countries there is more variability in mortality within socioe- conomic groups than between them. Within countries, socioeconomic membership usually explains less than 20% of the total variation in mortality risk. In contrast, country of birth explains 19% of the total variance in mortality risk. Targeting the 20% highest risk children based on our model better identifies under-5 deaths than targeting the 20% poorest. For all surveys, we report efficiency gains from 26% in Mali to 578% in Guyana. High risk births tend to be births from mothers who are in the lowest socioeconomic group, live in rural areas and/or have already experienced a prior death of a child. Interpretation: While important, differences in under-5 mortality across socioeconomic groups do not explain most of overall inequality in mortality risk because births from the same socioeconomic groups have different mortality risks. Similarly, policy makers can reach the highest risk children by targeting births based on several risk factors (socioeconomic status, residing in rural areas, having a previous death of a child and more) instead of using a single risk factor such as socioeconomic status. We suggest that researchers and policy makers monitor inequality in under-5 mortality us- ing multiple risk factors simultaneously, quantifying inequality as a function of several risk factors to identify left behind populations in need of policy interventions and to help monitor progress toward the SDG.

scholarly journals O uso social das tecnologias de comunicação pelo surdo: limites e possibilidades para o desenvolvimento da linguagem

2018 ◽  
Vol 6 (12) ◽  
pp. 470
Author(s):  
Clélia Maria Ignatius Nogueira ◽  
Marília Ignatius Nogueira Carneiro ◽  
Tânia Dos Santos Alvarez da Silva
Keyword(s):  
Paradigm Shift ◽  
Social Life ◽  
Digital Communication ◽  
Educational Communication ◽  
Communication Technologies ◽  
Written Language ◽  
The Social ◽  
Social Use ◽  
Made In

Resumo: Desde a década de 1990 os surdos vivenciam uma intensa transformação em sua vida social, em função da naturalização da comunicação digital, e educacional, com a mudança de paradigma do oralismo para o bilinguismo. Este artigo apresenta resultados de investigação realizada em três etapas com dez sujeitos surdos, buscando identificar a) a importância atribuída por eles à escrita e a competência na utilização da comunicação digital; b) sua percepção acerca dos equívocos cometidos em suas produções escritas e c) sua competência na interpretação de textos para identificar os limites e as possibilidades de desenvolvimento da língua escrita, pelo uso social das tecnologias de comunicação pelos surdos. Os resultados apontaram a ressignificação do sentido social da escrita do Português para os surdos proporcionada pela comunicação digital, o que poderia ser explorado pela escola.Palavras-chave: Educação de surdos; Comunicação digital; Língua Portuguesa escrita. The social use of communication technologies by the deaf: limits and possibilities for the development of the languageAbstract: From the 1990s the deaf experience an intense transformation in their social life, due to the naturalization of digital and educational communication, with the paradigm shift from oralism to bilingualism. This article presents research carried out through three moments with ten deaf individuals, seeking to identify : a) the importance they attributed to writing and their competence in the use of digital communication; b) their perception about the mistakes made in their written productions and c) their competence in the interpretation of texts and thus identify the limits and possibilities for the development of written language, the social use of communication technologies by the deaf. The results pointed out the re-signification of their social sense of the Portuguese writing for the deaf, provided by the digital communication which could be explored by the school.Keywords: Education of the deaf; Digital communication; Written Portuguese language. 

Socioeconomic status: the prime indicator of premature death in Australia

1993 ◽  
Vol 25 (4) ◽  
pp. 539-552 ◽  
Author(s):  
James S. Lawson ◽  
Deborah Black
Keyword(s):  
Socioeconomic Status ◽  
Heart Disease ◽  
Health Status ◽  
Premature Death ◽  
Social Classes ◽  
Important Indicator ◽  
Death Rates ◽  
Socioeconomic Groups ◽  
Premature Deaths ◽  
Socioeconomic Status And Health

SummaryThe link between socioeconomic status and health has long been recognised. This study of deaths among Australian men aged 15–59 years demonstrates that during the 20-year period, 1966–86 the number of premature deaths was dramatically reduced among all socioeconomic groups, primarily as a result of falls in death rates due to heart disease, stroke and trauma. However, the marked differences in death rates according to social class remain, to the extent that if men of all social classes had the same mortality experiences as professional and technical workers the overall death rates for Australian men would be reduced by 60%. Socioeconomic status is the most important indicator of health status among Australians.

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