scholarly journals Benchmarking London in the PISA rankings

Author(s):  
John Jerrim ◽  
Gill Wyness

The Programme for International Student Assessment (PISA) is an important international study of 15-year-olds' academic achievement. Although PISA has traditionally been used to draw comparisons across countries, there is growing interest in the production of regional (i.e. city, state, or provincial level) results. In this paper we present the first attempt to benchmark London in the PISA rankings. Pooling data across the 2009 and 2012 survey waves, we estimated a 95 per cent confidence interval for London's mathematics, reading, and science PISA scores. These are compared not only to country-level averages, but also to the scores of other major world cities and states. The paper concludes by discussing how these results should be interpreted, and possible directions for future research.

2017 ◽  
Vol 36 (7) ◽  
pp. 709-724 ◽  
Author(s):  
Lazar Stankov ◽  
Jihyun Lee ◽  
Matthias von Davier

We examine construct validity of the anchoring method used with 12 noncognitive scales from the Programme for International Student Assessment (PISA) 2012 project. This method combines individuals’ responses to vignettes and self-rated scores based on Likert-type items. It has been reported that the use of anchoring vignettes can reverse country-level correlations between academic achievement scores and noncognitive measures from negative to positive, and therefore align them with the typically reported individual-level correlations. Using the PISA 2012 data, we show that construct validity of this approach may be open to question because the anchored scales produce a different set of latent dimensions in comparison with nonanchored scales, even though both scales were created from the same set of individual responses. We also demonstrate that only one of three vignettes may be responsible for the resolution of the “paradox” highlighting that the choice of vignettes may be more important than what was previously reported.


2019 ◽  
Vol 5 ◽  
pp. 237802311984525 ◽  
Author(s):  
Florencia Silveira ◽  
Mikaela J. Dufur ◽  
Jonathan A. Jarvis ◽  
Kristie J. Rowley

With recent increases in international migration, some political and academic narratives argue for limiting migration because of possible negative effects on the host country. Among other outcomes, these groups argue that immigrant students have an impact on education, negatively affecting native-born students’ academic performance. The authors contextualize the relationship between immigrant status and academic achievement by considering a macro social setting: country-level foreign-born population. The authors examine achievement from the 2015 Programme for International Student Assessment in 41 high-income countries. The authors use within- and cross-level interactions to examine (1) the relationship between immigrant status and academic achievement, (2) the moderating effect of student socioeconomic status on achievement, and (3) how country-level foreign-born population affects both immigrant and native-born students’ performance. The findings indicate that immigrant students perform similarly to native-born students when considering other contextual factors, with socioeconomic status moderating the effect of immigrant status. Furthermore, all students, immigrant and nonimmigrant students alike, benefit academically from more immigration.


2019 ◽  
Vol 24 (3) ◽  
pp. 231-242 ◽  
Author(s):  
Herbert W. Marsh ◽  
Philip D. Parker ◽  
Reinhard Pekrun

Abstract. We simultaneously resolve three paradoxes in academic self-concept research with a single unifying meta-theoretical model based on frame-of-reference effects across 68 countries, 18,292 schools, and 485,490 15-year-old students. Paradoxically, but consistent with predictions, effects on math self-concepts were negative for: • being from countries where country-average achievement was high; explaining the paradoxical cross-cultural self-concept effect; • attending schools where school-average achievement was high; demonstrating big-fish-little-pond-effects (BFLPE) that generalized over 68 countries, Organisation for Economic Co-operation and Development (OECD)/non-OECD countries, high/low achieving schools, and high/low achieving students; • year-in-school relative to age; unifying different research literatures for associated negative effects for starting school at a younger age and acceleration/skipping grades, and positive effects for starting school at an older age (“academic red shirting”) and, paradoxically, even for repeating a grade. Contextual effects matter, resulting in significant and meaningful effects on self-beliefs, not only at the student (year in school) and local school level (BFLPE), but remarkably even at the macro-contextual country-level. Finally, we juxtapose cross-cultural generalizability based on Programme for International Student Assessment (PISA) data used here with generalizability based on meta-analyses, arguing that although the two approaches are similar in many ways, the generalizability shown here is stronger in terms of support for the universality of the frame-of-reference effects.


SAGE Open ◽  
2018 ◽  
Vol 8 (4) ◽  
pp. 215824401880579 ◽  
Author(s):  
Kevin Sullivan ◽  
Andrew McConney ◽  
Laura B. Perry

This study compares rural educational disadvantage across Australia, Canada, and New Zealand using data from the Organisation for Economic Co-operation and Development’s Programme for International Student Assessment (PISA). Across the three countries, student reading literacy and school learning environments are less positive in rural communities than in urban. Furthermore, rural disadvantage in educational outcomes (reading) and opportunities is greater in Australia than Canada or New Zealand. This could be seen as surprising as student socioeconomic status (SES), typically a strong predictor of educational outcomes, is similar for rural communities in Australia and Canada, but lower in New Zealand. Rural school principals in Australia are most likely among the three countries to report that shortages of teaching personnel hinder learning. This could suggest that policies and structures can play a role in ameliorating or exacerbating rural educational disadvantage. We conclude with questions and recommendations for future research.


Author(s):  
S. Marshall Perry ◽  
Karen M. Sealy ◽  
Héctor X. Ramírez-Pérez ◽  
Thomas C. DeNicola ◽  
Yair Cohen

Connections between principal leadership activities, school context, and student achievement are examined within this paper. Data for this quantitative study are from the 2013 Teaching and Learning International Survey (TALIS) and the 2012 Programme for International Student Assessment (PISA). The eight countries of examination participated in both the TALIS and PISA and the researchers merged datasets, yielding a study sample of 1,301 schools. This paper supports a context-specific view of instructional leadership. When looking across countries, the researchers found different practices were more strongly associated with the academic achievement of students, and suggest that school leaders have a meaningful overall relationship with academic achievement, both directly and indirectly. This study therefore supports prior research about the direct and indirect effects of instructional leadership. Further study, which accounts for differences in family academic resources and school-level opportunities to learn, will better illuminate the connection between instructional leadership practices and academic achievement.


2021 ◽  
Vol 5 (4) ◽  
pp. 340
Author(s):  
Dian Lestari Hidayah ◽  
Nining Febriyana ◽  
Atika Atika

Background: Indonesia's education ranked sixth bottom of the 2018 world rankings compiled by the Program for International Student Assessment (PISA). The value of academic achievement is an indicator of the quality of students in the academic field. One of the factors that influence achievement is children's intelligence. Child's intelligence is influenced by the happiness of his mother during pregnancy. This study aims to analyze the relationship between the happiness of pregnant women and the value of children's academic achievement in TK Khadijah Gedangan. Method: This type of research is an observational analytic study, using a cross sectional approach. The study population was all TK-A and TK-B students at TK Khadijah Gedangan and their biological mothers. The total sampling method was carried out according to the inclusion criteria and exclusion criteria. Collecting data using a demographic questionnaire and OHQ which was translated into Indonesian. SPSS software was used to test the Spearman rank correlation statistical test. Result: Obtained N = 54, significance value 0.514, correlation coefficient value -.091. Conclusion: The happiness of pregnant women is not related to the achievement scores of kindergarten children.Keywords: happiness, pregnant women, academic achievement 


Author(s):  
S. Marshall Perry ◽  
Karen M. Sealy ◽  
Héctor X. Ramírez-Pérez ◽  
Thomas C. DeNicola ◽  
Yair Cohen

Connections between principal leadership activities, school context, and student achievement are examined within this paper. Data for this quantitative study are from the 2013 Teaching and Learning International Survey (TALIS) and the 2012 Programme for International Student Assessment (PISA). The eight countries of examination participated in both the TALIS and PISA and the researchers merged datasets, yielding a study sample of 1,301 schools. This paper supports a context-specific view of instructional leadership. When looking across countries, the researchers found different practices were more strongly associated with the academic achievement of students, and suggest that school leaders have a meaningful overall relationship with academic achievement, both directly and indirectly. This study therefore supports prior research about the direct and indirect effects of instructional leadership. Further study, which accounts for differences in family academic resources and school-level opportunities to learn, will better illuminate the connection between instructional leadership practices and academic achievement.


2017 ◽  
Vol 51 (5) ◽  
pp. 659-692 ◽  
Author(s):  
Ela Ataç

As it has been realized that education is a key to a long-term economic growth and to reducing social and economic disadvantages, educational inequality and its reflections in the geography have become some of the major issues in many countries. Turkey is in many ways a good example to analyze the relations between class, education, and regional inequalities where education is strongly a class-related issue and there has also been a strong dimension of “geography” as far as the educational provision and performance are considered. The purpose of the article is to contribute to two debates on the relation of education and inequality in Turkey. One is a specific and practical way of understanding about the effect of socioeconomic backgrounds of the students on their educational achievement. The other is an understanding on causal relations based on socioeconomic variables and geographical variations and how these lead to or indeed are partly caused by regional inequalities in Turkey. Using the datasets of PISA (Program for International Student Assessment) database, the datasets of National University Entrance Examination and Census, the article finds that for Turkish students where (the region and the place of residence) and with whom (socioeconomic qualifications of parents) they live are the powerful indicators of academic achievement.


Author(s):  
Cahit Erdem ◽  
Metin Kaya

Abstract The COVID-19 pandemic has deepened the effects of socioeconomic status (SES) and wellbeing (WB) on students’ academic achievement, particularly in developing countries; thus, it becomes necessary to understand the nature of these concurrent relationships. This study aimed to explore the relationships between SES, WB and academic achievement, based on the data from the Programme for International Student Assessment (PISA) in 2018 within the Turkish context. In this cross-sectional study, we used hierarchical multiple linear regression analysis to explore how the independent variables predicted academic achievement in blocks based on data from 6890 students attending 186 schools. The study revealed that the model, including the independent variables, predicted students’ achievement in reading, mathematics and science; however, the prediction level of demographic factors and domains of WB were very low, while SES had the highest prediction level. The results offer insights into the predictors of academic achievement and educational inequalities in the context of a developing country.


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