Quality of Education in Latvian Municipalities and State Cities – Results of International Studies and State Examinations

Geske, Andrejs; Kiselova, Rita; Pole, Olga

doi:10.22364/htqe.2022.58

Cited by 2 publications

(2 citation statements)

References 17 publications

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“…Although the urban advantage varies across countries, in the context of education it has proven to be true: urban students have greater access to high-quality education and overall they tend to outperform their rural peers (Geske et al, 2022;OECD, 2016OECD, , 2017OECD, , 2020Karklina, 2013). Economic inequity without a doubt is the main cause of residential segregation by income and it does have a negative effect on the funding of schools.…”

Section: Introductionmentioning

confidence: 99%

School Socioeconomic Segregation in Baltic Sea Countries

Geske,

Kiseļova,

Pole

2023

Human, Technologies and Quality of Education, 2023

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School socioeconomic segregation has an impact on students’ academic performance and affects equity in education. This study aims to evaluate socioeconomic segregation in schools and its changes in the previous decades, using data obtained from international large-scale assessments (ILSA). In this study, data from eight European Union (EU) countries bordering the Baltic Sea (i.e. Latvia, Estonia, Lithuania, Denmark, Sweden, Finland, Poland and Germany) were analysed. Data from two International Association for the Evaluation of Educational Achievement (IEA) studies, i.e. Trends in International Mathematics and Science Study (TIMSS) 2015 & 2019 (Grade 4), and International Civic and Citizenship Education Study (ICCS) 2009 & 2016 (Grade 8), and data obtained from 7 cycles (2000 to 2018) of Organization for Economic Co-operation and Development (OECD) Programme for International Student Assessment (PISA) were used for the analysis. School segregation was assessed by calculating Dissimilarity Index. In each country, students in the highest 10% of socioeconomic status (SES) of their families and in the lowest 10% of SES of their families were examined. These two groups accordingly had the highest and the lowest achievements in students’ tests in each country. The obtained results show that the highest school segregation can be observed in Germany, Lithuania, Poland, but the lowest – in Finland and Sweden. The authors conclude that there is no significant decrease in segregation in the previous two decades, which would promote equal education opportunities. OECD PISA 2018 results show that in Estonia, Latvia, Lithuania and Poland highest segregation for low SES group is in large cities, but for the high SES group – in rural areas. The causes of school segregation might be explained as – (1) high SES students reluctance to (or parents preference not to) attend small schools, (2) exclusion (e.g. through entrance exams) of low SES students from schools in large cities.

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Section: Introductionmentioning

confidence: 99%

School Socioeconomic Segregation in Baltic Sea Countries

Geske,

Kiseļova,

Pole

2023

Human, Technologies and Quality of Education, 2023

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“…Although the urban advantage varies across countries, in the context of education it has proven to be true: urban students have greater access to high-quality education and overall they tend to outperform their rural peers (Geske et al, 2022;OECD, , 2017Karklina, 2013). Economic inequity without a doubt is the main cause of residential segregation by income and it does have a negative effect on the funding of schools.…”

Section: Introductionmentioning

confidence: 99%

Human, Technologies and Quality of Education, 2023

2023

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The aim of the study was to explore social measurements and COVID-19 -related behavioral choices from a network structure perspective. We tested network models by comparing network structures in 46 countries by cultural dimensions (Hofstede et al., 2010). The pre-registered hypothesis was that the network structure of variables predicting COVID-19-related behavioral choices will be robust across countries, regardless of the mean differences of these variables between countries characterized by high vs low culture dimension indices. Behavioural choices toward COVID-19 situation were: physical hygiene, policy support, and physical contact. In network analysis we used several social/psychological constructs: social belonging, trait optimism, collective narcissism, moral identity, self-esteem, national identification, trait self-control, morality as cooperation, conspiracy beliefs, political ideology, and narcissism. We analysed twelve conditions based on dichotomized culture dimensions (high vs. low Power distance, Individualism, Masculinity, Uncertainty avoidance, Long-term orientation, and Indulgence) across demographics (e.g., age, gender). We conducted network structure analysis using high-dimensional undirected graph estimation with glasso procedure splitting the data by culture dimensions in total with N = 40 795 individuals. The study findings indicated that the network models were fairly consistent across cultures with different scores on each of Hofstede's six cultural dimensions. This similarity reflects the previous studies in terms of the stability of associations between variables regardless of sex, age, and political beliefs.

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Quality of Education in Latvian Municipalities and State Cities – Results of International Studies and State Examinations

Cited by 2 publications

References 17 publications

School Socioeconomic Segregation in Baltic Sea Countries

School Socioeconomic Segregation in Baltic Sea Countries

Human, Technologies and Quality of Education, 2023

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