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Pallavi Banerjee; Nurullah Eryilmaz – International Journal of Comparative Education and Development, 2024
Purpose: Given the scientific and practical difficulties inherent in measuring and comparing socioeconomic deprivation (SED), and the further complexity added in cross national measurements, the main aim of this paper was to check the validity of SED measures used in PISA 2018 dataset. The SED measure used in PISA 2018 was the PISA index of…
Descriptors: Socioeconomic Status, Cross Cultural Studies, Foreign Countries, Achievement Tests
Stankov, Lazar; Lee, Jihyun; von Davier, Matthias – Journal of Psychoeducational Assessment, 2018
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…
Descriptors: Construct Validity, Measurement Techniques, Vignettes, Likert Scales
Lam, Kelly Ka Lai; Zhou, Mingming – Journal of Educational Psychology, 2022
This review examined the relations between grit and academic achievement based on a meta-analysis of 137 studies yielding 156 dependent samples (N = 285,331). Using the robust variance estimation, we found that the correlations of overall grit level with academic achievement were generally weak to moderate (weighted r = 0.19). The correlation of…
Descriptors: Personality Traits, Academic Persistence, Academic Achievement, Correlation
He, Jia; Barrera-Pedemonte, Fabián; Buchholz, Janine – Assessment in Education: Principles, Policy & Practice, 2019
Noncognitive assessments in Programme for International Student Assessment (PISA) and Trends in International Mathematics and Science Study share certain similarities and provide complementary information, yet their comparability is seldom checked and convergence not sought. We made use of student self-report data of Instrumental Motivation,…
Descriptors: Foreign Countries, Secondary School Students, International Assessment, Elementary Secondary Education
Vonkova, Hana; Zamarro, Gema; Hitt, Collin – Journal of Educational Measurement, 2018
Self-reports are an indispensable source of information in education research but they are often affected by heterogeneity in reporting behavior. Failing to correct for this heterogeneity can lead to invalid comparisons across groups. The researchers use the parametric anchoring vignette method to correct for cross-country incomparability of…
Descriptors: Vignettes, Educational Research, Achievement Tests, Foreign Countries
Brunello, Giorgio; De Paola, Maria – European Commission, 2017
This report reviews the economic literature investigating the effects of the share of immigrants in classes and schools on the school performance of immigrants and natives. The review is organized in four sections. In the first section, we document the recent expansion in the presence of immigrants in European schools, introduce a measure of…
Descriptors: Foreign Countries, School Segregation, Immigrants, Outcomes of Education
Cheema, Jehanzeb R. – Issues in Educational Research, 2013
There are many different ways to measure a construct and the method chosen to accomplish this task can have a major effect on results of statistical analyses based on the measured variable. We looked at various methods ranging between naive and sophisticated that can be used to measure self-efficacy within the special context of mathematics, in…
Descriptors: Self Efficacy, Mathematical Aptitude, Measurement Techniques, Statistical Analysis
Martin, Andrew J.; Yu, Kai; Papworth, Brad; Ginns, Paul; Collie, Rebecca J. – Journal of Psychoeducational Assessment, 2015
This study explored motivation and engagement among North American (the United States and Canada; n = 1,540), U.K. (n = 1,558), Australian (n = 2,283), and Chinese (n = 3,753) secondary school students. Motivation and engagement were assessed via students' responses to the Motivation and Engagement Scale-High School (MES-HS). Confirmatory factor…
Descriptors: Foreign Countries, Motivation, Learner Engagement, Secondary School Students
Lu, Yi – ProQuest LLC, 2012
Cross-national comparisons of responses to survey items are often affected by response style, particularly extreme response style (ERS). ERS varies across cultures, and has the potential to bias inferences in cross-national comparisons. For example, in both PISA and TIMSS assessments, it has been documented that when examined within countries,…
Descriptors: Item Response Theory, Attitude Measures, Response Style (Tests), Cultural Differences
Lynn, Richard – Intelligence, 2010
Beraldo (2010) and Cornoldi, Belacchi, Giofre, Martini, and Tressoldi (2010) (CBGMT) have eight criticisms of my paper (Lynn, 2010) claiming that the large north-south differences in per capita income in Italy are attributable to differences in the average levels of intelligence in the populations. CBGMT give results for seven data sets for IQs in…
Descriptors: Intelligence, Income, Criticism, Foreign Countries
Cornoldi, Cesare; Belacchi, Carmen; Giofre, David; Martini, Angela; Tressoldi, Patrizio – Intelligence, 2010
Working with data from the PISA study (OECD, 2007), Lynn (2010) has argued that individuals from South Italy average an IQ approximately 10 points lower than individuals from North Italy, and has gone on to put forward a series of conclusions on the relationship between average IQ, latitude, average stature, income, etc. The present paper…
Descriptors: Foreign Countries, Intelligence Quotient, Intelligence Differences, Research Methodology
Stamper, John, Ed.; Pardos, Zachary, Ed.; Mavrikis, Manolis, Ed.; McLaren, Bruce M., Ed. – International Educational Data Mining Society, 2014
The 7th International Conference on Education Data Mining held on July 4th-7th, 2014, at the Institute of Education, London, UK is the leading international forum for high-quality research that mines large data sets in order to answer educational research questions that shed light on the learning process. These data sets may come from the traces…
Descriptors: Information Retrieval, Data Processing, Data Analysis, Data Collection