Analyzing the Achievement and Isolation of Immigrant and U.S.-Born Students: Insights From PISA 2012

2017 ◽  
Vol 31 (6) ◽  
pp. 830-857
Author(s):  
Jeanne M. Powers ◽  
Margarita Pivovarova
Keyword(s):  
International Student ◽  
Immigrant Students ◽  
Student Assessment ◽  
School Experiences ◽  
Policy Implications ◽  
School Factors ◽  
International Student Assessment ◽  
Pisa 2012 ◽  
Political Debates ◽  
Research And Policy

The 2016 Presidential election and the first months of the Trump administration have propelled immigration to the center of U.S. political debates. We use data from the Programme for International Student Assessment (PISA) 2012 to provide insights into the school experiences of high school–age immigrants and their U.S.-born peers. Our findings indicate that the immigrant–U.S.-born achievement gap is a race and wealth gap, and is also mediated by school factors. We also found that a substantial number of U.S.-born students attended schools that did not enroll immigrant students. We conclude by highlighting the research and policy implications of our findings.

scholarly journals Does isolation from immigrant students benefit or harm third-plus generation students?

2019 ◽  
Vol 27 ◽  
pp. 76
Author(s):  
Margarita Pivovarova ◽  
Jeanne M. Powers
Keyword(s):  
Mathematics Achievement ◽  
International Student ◽  
Immigrant Students ◽  
Student Assessment ◽  
Policy Implications ◽  
Social Benefits ◽  
School Contexts ◽  
International Student Assessment ◽  
Generation Immigrant ◽  
Research And Policy

Enforcing and expanding immigration restrictions have been at the forefront of the Trump administration’s agenda since his inauguration in January 2017. Underlying these policies is an assumption that immigrants harm U.S. citizens. More specifically, both authorized and undocumented immigrants are framed as consuming a disproportionate share of social benefits. We used data from the 2012 Programme for International Student Assessment (PISA) to assess this claim in U.S. high school contexts, focusing on the mathematics achievement of third-plus generation students who did not attend schools with immigrant students. On average, the third-plus-generation students who did not attend schools that enrolled first or second generation immigrant students had lower achievement than their same generation peers attending schools that served immigrant students. We conclude by highlighting the research and policy implications of our findings. 

Fabrication of interview data

2018 ◽  
Vol 26 (2) ◽  
pp. 213-226 ◽  
Author(s):  
Jörg Blasius
Keyword(s):  
Survey Research ◽  
International Student ◽  
Student Assessment ◽  
Content Type ◽  
International Student Assessment ◽  
Pisa 2012 ◽  
Research Organizations ◽  
Using Data ◽  
Copy And Paste ◽  
Practical Implications

Purpose Evidence from past surveys suggests that some interviewees simplify their responses even in very well-organized and highly respected surveys. This paper aims to demonstrate that some interviewers, too, simplify their task by at least partly fabricating their data, and that, in some survey research institutes, employees simplify their task by fabricating entire interviews via copy and paste. Design/methodology/approach Using data from the principal questionnaires in the Programme for International Student Assessment (PISA) 2012 and the Programme for the International Assessment of Adult Competencies (PIAAC) data, the author applies statistical methods to search for fraudulent methods used by interviewers and employees at survey research organizations. Findings The author provides empirical evidence for potential fraud performed by interviewers and employees of survey research organizations in several countries that participated in PISA 2012 and PIAAC. Practical implications The proposed methods can be used as early as the initial phase of fieldwork to flag potentially problematic interviewer behavior such as copying responses. Originality/value The proposed methodology may help to improve data quality in survey research by detecting fabricated data.

scholarly journals Educational Achievement Gaps between Immigrant and Native Students in Two “New” Immigration Countries

2012 ◽  
Vol 643 (1) ◽  
pp. 46-77 ◽  
Author(s):  
Davide Azzolini ◽  
Philipp Schnell ◽  
John R. B. Palmer
Keyword(s):  
International Student ◽  
Immigrant Students ◽  
Educational Achievement ◽  
Student Assessment ◽  
Achievement Gaps ◽  
Empirical Literature ◽  
Socioeconomic Background ◽  
School Type ◽  
Native Students ◽  
International Student Assessment

The authors use 2009 Programme for International Student Assessment (PISA) data to determine how immigrant children in Italy and Spain compare with native students in reading and mathematics skills. Drawing on the vast empirical literature in countries with traditionally high rates of immigration, the authors test the extent to which the most well-established patterns and hypotheses of immigrant/native educational achievement gaps also apply to these comparatively “new” immigration countries. The authors find that both first- and second-generation immigrant students underperform natives in both countries. Although socioeconomic background and language skills contribute to the explanation of achievement gaps, significant differences remain within the countries even after controlling for those variables. While modeling socioeconomic background reduces the observed gaps to a very similar extent in both countries, language spoken at home is more strongly associated with achievement gaps in Italy. School-type differentiation, such as tracking in Italy and school ownership in Spain, do not reduce immigrant/native gaps, although in Italy tracking is strongly associated with immigrant students’ test scores.

scholarly journals 2018 Australian TALIS-PISA Link Report

2021 ◽  
Author(s):  
Kylie Hillman ◽  
Sue Thomson
Keyword(s):  
Cognitive Skills ◽  
Teaching And Learning ◽  
International Student ◽  
Student Assessment ◽  
Background Characteristics ◽  
School Life ◽  
School Factors ◽  
The Czech Republic ◽  
International Student Assessment ◽  
Pisa Data

Australia was one of nine countries and economies to participate in the 2018 TALIS-PISA link study, together with Cuidad Autónoma de Buenos Aires (Argentina), Colombia, the Czech Republic, Denmark, Georgia, Malta, Turkey and Viet Nam. This study involved coordinating the samples of schools that participated in the Program of International Student Assessment (PISA, a study of the performance of 15-year-old students) and the Teaching and Learning International Survey (TALIS, a study that surveys teachers and principals in lower secondary schools) in 2018. A sample of teachers from schools that were selected to participate in PISA were invited to respond to the TALIS survey. TALIS data provides information regarding the background, beliefs and practices of lower secondary teachers and principals, and PISA data delivers insights into the background characteristics and cognitive and non-cognitive skills of 15-year-old students. Linking these data offers an internationally comparable dataset combining information on key education stakeholders. This report presents results of analyses of the relationships between teacher and school factors and student outcomes, such as performance on the PISA assessment, expectations for further study and experiences of school life. Results for Australia are presented alongside those of the average (mean) across all countries and economies that participated in the TALIS-PISA link study for comparison, but the focus remains on what relationships were significant among Australian students.

scholarly journals Examining school variables affecting PISA 2012 math achievement in Turkey and Shanghai-China

2017 ◽  
Vol 6 (4) ◽  
pp. 167-174
Author(s):  
Mustafa Kale
Keyword(s):  
International Student ◽  
Math Achievement ◽  
Student Assessment ◽  
International Student Assessment ◽  
Pisa 2012 ◽  
Math Scores ◽  
Model Research ◽  
School Variables ◽  
Research Population ◽  
The Difference

The main purpose of the research is to examine school variables that have effect on Programme for International Student Assessment (PISA) 2012 math achievement in Turkey and Shanghai-China. The research was designed in casual comparison model. Research population was constituted by student in age group of 15 in Turkey and Shanghai-China in 2012.The sample consists of 4848 students and 170 schools in Turkey and 5177 students and 155 schools in  Shanghai-China that participated in PISA 2012. Two-leveled Hierarchical Linear Modelling (HLM) was used to analyze data because the data collected in PISA 2012 had a hierarchical data structure. As a result of analysis, variability in math scores, 63% in Turkey and  47% in Shanghai-China, was found due to the difference between the mean math scores of schools. It was determined that  MACTIV, SCMATEDU and TCMORALE in Turkey and MACTIV, in Shanghai-China statistically affect on math achievement. Keywords: PISA, school administration, school variables, HLM

scholarly journals Repetência e indisciplina: evidências de Brasil e Portugal no Pisa 2012

2016 ◽  
Vol 46 (161) ◽  
pp. 614-636 ◽  
Author(s):  
Daniel Abud Seabra Matos ◽  
Maria Eugénia Ferrão
Keyword(s):  
International Student ◽  
Student Assessment ◽  
International Student Assessment ◽  
Pisa 2012

Resumo Este trabalho objetiva analisar o fenômeno da repetência escolar no Brasil e em Portugal, por meio dos dados do Programa Internacional de Avaliação de Estudantes [Programme for International Student Assessment] - Pisa 2012, e aplicar um modelo de regressão logística multinível tendo a repetência como variável dependente, no sentido de identificar características dos estudantes e das escolas que estejam associadas à probabilidade de repetência para estimar a variabilidade entre escolas. Dentre os principais resultados, a contribuição mais significativa deste estudo é explicitar uma clara associação entre repetência e indisciplina escolar. Pesquisas adicionais baseadas em dados longitudinais são necessárias para investigar aprofundadamente as características dos estudantes e das escolas que estejam associadas à mudança das condições de educação e que influenciam a probabilidade de repetência.

A Note on Construct Validity of the Anchoring Method in PISA 2012

2017 ◽  
Vol 36 (7) ◽  
pp. 709-724 ◽  
Author(s):  
Lazar Stankov ◽  
Jihyun Lee ◽  
Matthias von Davier
Keyword(s):  
Academic Achievement ◽  
Construct Validity ◽  
International Student ◽  
Student Assessment ◽  
Achievement Scores ◽  
Individual Level ◽  
Anchoring Vignettes ◽  
International Student Assessment ◽  
Pisa 2012 ◽  
Country Level

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.

Personality, Motivation, and Math Achievement Among Turkish Students

2017 ◽  
Vol 124 (2) ◽  
pp. 514-530
Author(s):  
Elif Akben-Selcuk
Keyword(s):  
International Student ◽  
Economic Status ◽  
Student Assessment ◽  
Policy Implications ◽  
Male Students ◽  
School Resources ◽  
Older Students ◽  
Mathematics Proficiency ◽  
International Student Assessment ◽  
Plausible Values

Using the Turkish portion of the Programme for International Student Assessment dataset ( N = 4,848; 51% boys, 49% girls; age, M = 15.81 years, SD = 0.28), this study investigated factors associated with mathematics achievement among Turkish students. Three different models were estimated using the method of balanced repeated replication with Fay’s method and taking into account the presence of five plausible values of the dependent variable. Results showed that male students and older students had better mathematics proficiency. Socio-economic status and school resources also played a significant role in explaining student achievement in mathematics. Finally, students who were more open to problem solving, who attributed their failure to external factors, and who were intrinsically motivated to learn mathematics achieved higher scores. Policy implications are provided.

scholarly journals PISA Performance of Natives and Immigrants: Selection versus Efficiency

2020 ◽  
Vol 2 (1) ◽  
pp. 9-36
Author(s):  
Andreas Behr ◽  
Gerald Fugger
Keyword(s):  
International Student ◽  
Immigrant Students ◽  
Home Country ◽  
Student Assessment ◽  
Educational Systems ◽  
Selection Effects ◽  
Efficient Frontiers ◽  
International Student Assessment ◽  
Educational Efficiency ◽  
Economic Background

AbstractIn most countries, immigrant and native students perform differently in the Programme for International Student Assessment (PISA) due to two main reasons: different immigration regimes and differences in their home-country educational systems. While there is sophisticated literature on the reasons for these performance gaps, it is barely considered in the educational efficiency research. Our approach distinguishes between selection effects caused by immigration policies, and the efficiency of educational systems in integrating immigrant students, given their socio–economic background. Accordingly, we split our sample, which consists of 153,374 students in 20 countries, calculate various different efficient frontiers, and ultimately decompose and interpret the resulting efficiency values. We find large differences in educational system efficiency, when controlling for negative selection effects caused by immigration regimes.

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