scholarly journals Do migration-related gaps find their roots in the period before formal schooling? A path-model of educational achievement in primary school

2021 ◽  
Author(s):  
Stefanie L. Sprong ◽  
Jan Skopek

Education is key to the structural integration of immigrants and their children. While research indicates that migrant educational underachievement is a serious issue, relatively little is known about when, how and why migrant gaps develop. Hitherto, longitudinal research on skill gaps is scarce. The current paper adds to the literature by investigating how much of the migration-related disparities found during primary school can be attributed to inequalities that already existed before school life. To do so, it uses structural equation modelling and draws on a national longitudinal study of children in Ireland. Results indicate that migration-related disparities largely find their roots in the period before formal schooling, after which they remain relatively stable or even decrease. This implies that researchers and policymakers may want to focus their efforts on the period proceeding primary school.

2020 ◽  
Author(s):  
Giampiero Passaretta ◽  
Jan Skopek ◽  
Thomas van Huizen

We estimate the degree to which socioeconomic status (SES) gaps in children’s language skills observed in primary schooling are already determined before children enter school in Germany, the Netherlands, and the United Kingdom. We use representative and longitudinal cohort data and apply instrumental variable estimation to deal with measurement error in test scores. Around 60–80% of SES gaps in language at the end of primary school are attributable to gaps settled before formal schooling, while at most 20–40% is attributable to SES operating during the school years. We also show that ignoring measurement error results in a major overestimation of the role of SES during schooling. Our findings suggest that the most effective strategy for reducing social inequality in school-age achievement is reducing inequality before school life starts.


2018 ◽  
Vol 6 (2) ◽  
pp. 199
Author(s):  
Asep Saifuddin Chalim

This study discussed employee turnover as one of the crucial problems faced by every organization. This study sought to analyze the determinants of turnover intention, such as job insecurity, organizational commitment, and job satisfaction. The objects of this study were newcomer lecturers of private Islamic universities in East Java Province, Indonesia. To analyze the relationship among independent variables and dependent variable; this study employed a correlation path model. To build the structural formulation of the correlation path model, this study used the variance-based Structural Equation Modeling (SEM) as a Partial Least Square (PLS) analysis. The study found that job insecurity influenced job satisfaction and organizational commitment. Moreover, job satisfaction and organizational commitment had positive impacts on the turnover intention. In contrast, job insecurity did not have a direct significant impact on the turnover intention, but it had indirect effect that influences job satisfaction and organizational commitment.


2012 ◽  
Vol 2 (3) ◽  
pp. 7-31
Author(s):  
Jitka Vidláková

The topic of the contribution is pupil participation in school life. In this framework we will focus on student councils, which represent one of the possible forms of pupil participation. The study analyzes the foundation and the existence of a student council at a selected primary school using a modified Lagerwei’s model of stages of change. In the text we present a comprehensive view on the functioning of student council, as we confront the data relating to its activities obtained from the headmaster, teachers and pupils. The study focuses primarily on researchers dealing with the issue of pupil participation but its focus also brings ideas and inspiration for other professionals and for school practice.


2021 ◽  
Author(s):  
Peera Wongupparaj ◽  
Roi Cohen Kadosh

Abstract Background Current evidence on an integrative role of the domain-specific early mathematical skills and domain-general executive functions (EFs) from informal to formal schooling and their effect on mathematical abilities is so far unclear. The main objectives of this study were to (i) compare the domain-specific early mathematics, the number-specific EFs, and the mathematical abilities between preschool and primary school children, and (ii) examine the relationship among the domain-specific early mathematics, the number-specific EFs, and the mathematics abilities among preschool and primary school children.Methods In the present study, we recruited six- and seven-year-old children (Ntotal=505, n6yrs=238, and n7yrs=267). We compared domain-specific early mathematics as measured by symbolic and non-symbolic tasks, number-specific EFs tasks, and mathematics tasks between these preschool and primary school children. In addition, we tested the predictive power of domain-specific numerical and number-specific EFs on mathematics abilities among preschool and primary school children. MANOVA and Structural Equation Modeling (SEM) were used to test research hypotheses.Results We found that primary school children were superior to preschool children over more complex tests of the domain-specific early mathematics, the number-specific EFs, the mathematics abilities, particularly, for more sophisticated numerical knowledge and the number-specific EFs components. The SEM revealed that both the domain-specific early numerical and the number-specific EFs could predict the mathematics abilities across age groups. Nevertheless, the number comparison test and mental number line of the domain-specific early mathematics were clearly pronounced in predicting the mathematics abilities for formal school children. These results highlight the benefits of both the domain-specific early mathematics and the number-specific EFs in mathematical development, especially at the key stages of formal schooling. Understanding the causal effect of EFs in improving mathematical attainments could allow a more powerful approach in improving mathematical education at this developmental stage.


2021 ◽  
Vol ahead-of-print (ahead-of-print) ◽  
Author(s):  
Auditya Purwandini Sutarto ◽  
Shanti Wardaningsih ◽  
Wika Harisa Putri

PurposeThe purpose of this study is to explore to what extent employees' mental well-being affects their productivity while working from home (WFH) during the COVID-19 crisis and whether mental well-being and productivity differ across some socio-demographic factors.Design/methodology/approachA cross-sectional study with online questionnaires was designed with 472 valid responses in Indonesia. Depression, Anxiety and Stress Scale (DASS-21) and Individual Work Performance Questionnaire (IWPQ) were administered. Non-parametric tests and structural equation modeling were employed to analyze the data.FindingsThe prevalence of depression was 18.4%, anxiety 46.4% and stress 13.1%, with relatively good productivity. Gender, age, education level, job experiences, marital status, number of children and nature of the organization were associated with the employees' psychological health but not with their productivity, while the workspace availability influenced both outcomes. The study path model showed the negative correlation between WFH employees' psychological well-being and productivity.Research limitations/implicationsThis study may contribute to the implication of current mandatory WFH on mental well-being and productivity. Further studies need to address the representativeness and generalizability issues as well as incorporating potential stressors.Practical implicationsOrganizations may adopt WFH as a future working arrangement and identify the individual and occupational characteristics that provide the most impacts on productivity. It is also necessary for them to develop proper strategies to mitigate the psychological risks and overcome the WFH challenges.Originality/valueThere is still a lack of studies investigating the relationship between simultaneous effects of WFH on psychological well-being and productivity, and how they affect some socio-demographic variables in the context of COVID-19.


2012 ◽  
Vol 2012 ◽  
pp. 1-16 ◽  
Author(s):  
Tzeng Yih Lam ◽  
Douglas A. Maguire

Forest ecosystem dynamics are driven by a complex array of simultaneous cause-and-effect relationships. Understanding this complex web requires specialized analytical techniques such as Structural Equation Modeling (SEM). The SEM framework and implementation steps are outlined in this study, and we then demonstrate the technique by application to overstory-understory relationships in mature Douglas-fir forests in the northwestern USA. A SEM model was formulated with (1) a path model representing the effects of successively higher layers of vegetation on late-seral herbs through processes such as light attenuation and (2) a measurement model accounting for measurement errors. The fitted SEM model suggested a direct negative effect of light attenuation on late-seral herbs cover but a direct positive effect of northern aspect. Moreover, many processes have indirect effects mediated through midstory vegetation. SEM is recommended as a forest management tool for designing silvicultural treatments and systems for attaining complex arrays of management objectives.


2013 ◽  
Vol 4 (2) ◽  
pp. 71
Author(s):  
Lina P. Valsamidou

In the present study we investigate, record and discuss icons with asocial content, their type, their signifieds and ideological significations,wishing to extract useful conclusions regarding the use of icons in schoolnewspapers as vehicles of social messages. The research material comprises intotal 252 images with a social content found in the columns of schoolnewspapers, whereas the collection of the sample was based on the study of 64school newspaper issues coming from 32 titles of primary school newspapers fromall over Greece that were published in 2004-2006. All in all, it appears that social iconic publications create theeditors’ vivid interest, as they find their way mostly in the inside pages ofnewspapers. The analysis of the icons as to their signifieds places emphasis onthe dominant ideological forms: the signifieds of historic anniversaries,school life and environmental education come before the others, which in turnsuggests the dominant ideological trends, history-school-environment/ecology:a triptych that emerges through the social-iconic choices of those involved inpublishing school newspapers.Keywords: visual social publications, schoolnewspapers, semiotic analysis, students-journalists


SAGE Open ◽  
2020 ◽  
Vol 10 (1) ◽  
pp. 215824402090207
Author(s):  
Mohamed M. Khalifa Tailab

This research applies a technique that identifies areas of improvement that can be addressed by managerial decisions or policy activities. It extends the application of partial least squares structural equation modeling (PLS-SEM) using an importance-performance map analysis (IPMA). The IPMA determines priority factors that should receive management’s attention. The PLS path model was tested by comparing 140 failed U.S. banks with the same number of nonfailed banks from 2006 to 2008. This model assembles 15 indicators with four predecessor constructs (i.e., profitability of 2006, profitability of 2007, risk of 2006, and risk of 2007) and one final target construct (i.e., profitability of 2008). Profitability and risk of 2007 mediate the path of profitability and risk of 2006 and profitability of 2008. The IPMA indicated that failed banks were predisposed to decreasing financial performance in 2008 because of their poor performance in 2006 and 2007. Conversely, nonfailed banks were more likely to experience increasing financial performance in 2008 because of their positive performance in 2006 and 2007. This study indicates that managers who use IPMA to prioritize their financial decisions will obtain useful conceptual insights and are unlikely to be misled. Although IPMA can be conducted on the indicator level as well, this article limits its analysis by focusing on the construct level only. The use of IPMA is ubiquitous in end-user surveys, but its application to banking is still in its embryonic state. For originality, this work prioritizes the application of IPMA using secondary data collected from financial statements to assess the performance of American banks during the crisis.


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