Skip to main content

Articles

Page 1 of 4

  1. Mode effects, the variations in item and scale properties attributed to the mode of test administration (paper vs. computer), have stimulated research around test equivalence and trend estimation in PISA. The ...

    Authors: Scott Harrison, Ulf Kroehne, Frank Goldhammer, Oliver Lüdtke and Alexander Robitzsch
    Citation: Large-scale Assessments in Education 2023 11:8
  2. While gender differences in mathematical competencies favoring boys are well researched for school and late Kindergarten age, much less is known about their earlier development. Using data from the NEPS Newbor...

    Authors: Loreen Beier and Hans-Peter Blossfeld
    Citation: Large-scale Assessments in Education 2023 11:7
  3. This paper investigates how the COVID-19 school closure has affected the gender gap in grade-8 students' performance and what are the drivers behind this. By analysing four different countries (i.e., the Russi...

    Authors: Alice Bertoletti, Federico Biagi, Giorgio Di Pietro and Zbigniew Karpiński
    Citation: Large-scale Assessments in Education 2023 11:6
  4. Given the ongoing development of computer-based tasks, there has been increasing interest in modelling students’ behaviour indicators from log file data with contextual variables collected via questionnaires. ...

    Authors: Denise Reis Costa and Chia-Wen Chen
    Citation: Large-scale Assessments in Education 2023 11:5
  5. Examinees may not make enough effort when responding to test items if the assessment has no consequence for them. These disengaged responses can be problematic in low-stakes, large-scale assessments because th...

    Authors: Huan Kuang and Fusun Sahin
    Citation: Large-scale Assessments in Education 2023 11:4
  6. Making accurate diagnoses in teams requires complex collaborative diagnostic reasoning skills, which require extensive training. In this study, we investigated broad content-independent behavioral indicators o...

    Authors: Constanze Richters, Matthias Stadler, Anika Radkowitsch, Ralf Schmidmaier, Martin R. Fischer and Frank Fischer
    Citation: Large-scale Assessments in Education 2023 11:3
  7. The purpose of this paper is to extend and evaluate methods of Bayesian historical borrowing applied to longitudinal data with a focus on parameter recovery and predictive performance. Bayesian historical borrowi...

    Authors: David Kaplan, Jianshen Chen, Weicong Lyu and Sinan Yavuz
    Citation: Large-scale Assessments in Education 2023 11:2
  8. Large-scale international studies offer researchers a rich source of data to examine the relationship among variables. Machine learning embodies a range of flexible statistical procedures to identify key indic...

    Authors: Jason C. Immekus, Tai-sun Jeong and Jin Eun Yoo
    Citation: Large-scale Assessments in Education 2022 10:30
  9. Remote learning, or synchronous or asynchronous instruction provided to students outside the classroom, was a common strategy used by schools to ensure learning continuity for their students when many school b...

    Authors: Alec I. Kennedy, Ana María Mejía-Rodríguez and Andrés Strello
    Citation: Large-scale Assessments in Education 2022 10:29
  10. Educational large-scale assessments (LSAs) often provide plausible values for the administered competence tests to facilitate the estimation of population effects. This requires the specification of a backgrou...

    Authors: Anna Scharl and Eva Zink
    Citation: Large-scale Assessments in Education 2022 10:28
  11. Progress in International Reading Literacy Study (PIRLS) focuses on the reading proficiency of students mostly in the fourth year of schooling. A wide selection of studies has shown that family background and ...

    Authors: Kaisa Leino, Kari Nissinen and Marjo Sirén
    Citation: Large-scale Assessments in Education 2022 10:25
  12. School-level inefficiencies and mismanagement can have serious repercussions for human resource development and labor market outcomes. This paper investigates the extent and consequences of existing technical ...

    Authors: Aditi Bhutoria and Nayyaf Aljabri
    Citation: Large-scale Assessments in Education 2022 10:24
  13. Boys in the Kingdom of Saudi Arabia consistently and significantly underperform compared to girls across different grades and subjects, forming one of the largest gender gaps in student achievement in the worl...

    Authors: Mahmoud A. A. Elsayed, Aidan Clerkin, Vasiliki Pitsia, Nayyaf Aljabri and Khaleel Al-Harbi
    Citation: Large-scale Assessments in Education 2022 10:23
  14. Reading and math proficiency are assumed to be crucial for the development of other academic skills. Further, different studies found reading and math development to be related. We contribute to the literature...

    Authors: Christoph Jindra, Karoline A. Sachse and Martin Hecht
    Citation: Large-scale Assessments in Education 2022 10:22
  15. This study examines the effect of school socioeconomic composition on student achievement growth in Australian schooling, and its relationship with academic composition utilising the National Assessment Progra...

    Authors: Michael G. Sciffer, Laura B. Perry and Andrew McConney
    Citation: Large-scale Assessments in Education 2022 10:21
  16. We examine the sensitivity of the Heyneman-Loxley Effect to the influence of an error-prone family background measure in 15 education systems from Southern and Eastern Africa. Our aim is to revisit a claim by ...

    Authors: W. Joshua Rew, Anabelle Andon and Thomas F. Luschei
    Citation: Large-scale Assessments in Education 2022 10:20
  17. In cognitive diagnosis assessment (CDA), the impact of misspecified item-attribute relations (or “Q-matrix”) designed by subject-matter experts has been a great challenge to real-world applications. This study...

    Authors: Jolien Delafontaine, Changsheng Chen, Jung Yeon Park and Wim Van den Noortgate
    Citation: Large-scale Assessments in Education 2022 10:19
  18. We investigated the potential impact of differential item functioning (DIF) on group-level mean and standard deviation estimates using empirical and simulated data in the context of large-scale assessment. For...

    Authors: Sean Joo, Usama Ali, Frederic Robin and Hyo Jeong Shin
    Citation: Large-scale Assessments in Education 2022 10:18

    The Correction to this article has been published in Large-scale Assessments in Education 2022 10:27

  19. While the relationship between school socioeconomic composition and student academic outcomes is well established, knowledge about differential effects is not extensive. In particular, little is known whether ...

    Authors: Laura B. Perry, Argun Saatcioglu and Roslyn Arlin Mickelson
    Citation: Large-scale Assessments in Education 2022 10:17
  20. The current study investigates school contextual effects on students’ academic self-concept and achievement, that is, peer socioeconomic effect and big-fish-little-pond effect (BFLPE), in four Nordic education...

    Authors: Kajsa Yang Hansen, Jeléna Radišić, Yi Ding and Xin Liu
    Citation: Large-scale Assessments in Education 2022 10:16
  21. Gaining knowledge of what contextual factors may contribute to changes in student achievement across cycles of international large-scale assessments (ILSA), is important for educational policy and practice. Ad...

    Authors: Trude Nilsen, Hege Kaarstein and Anne-Catherine Lehre
    Citation: Large-scale Assessments in Education 2022 10:15
  22. In Ireland, while, on average, students have performed well on national and international assessments of mathematics and science, the low proportions of high achievers in these subjects are noteworthy. Given t...

    Authors: Vasiliki Pitsia
    Citation: Large-scale Assessments in Education 2022 10:14
  23. The prerequisite for meaningful comparisons of educational inequality indicators across immigration status is the comparability of socioeconomic status (SES) measures. The Programme for International Student A...

    Authors: Oleksandra Mittal, Ronny Scherer and Trude Nilsen
    Citation: Large-scale Assessments in Education 2022 10:13
  24. Teacher-student interactions are crucial in understanding the role of a supportive climate in instructional practices. The present study investigates the perceptions of 15-year-old Nordic students regarding fo...

    Authors: Anubha Rohatgi, Ove E. Hatlevik and Julius K. Björnsson
    Citation: Large-scale Assessments in Education 2022 10:12
  25. A variety of studies point to a deterioration of educational equity in Sweden and increasing school segregation with respect to achievement and socioeconomic composition. Some schools are resilient to socioeco...

    Authors: Deborah Elin Siebecke and Maria Jarl
    Citation: Large-scale Assessments in Education 2022 10:11
  26. This paper examines the overarching question of to what extent different analytic choices may influence the inference about country-specific cross-sectional and trend estimates in international large-scale ass...

    Authors: Jörg-Henrik Heine and Alexander Robitzsch
    Citation: Large-scale Assessments in Education 2022 10:10
  27. This study analyzed the latest four PISA surveys, 2009, 2012, 2015, and 2018, to explore the association between students’ ICT-related use and math and science performance. Using ICT Engagement Theory as a the...

    Authors: Matthew Courtney, Mehmet Karakus, Zara Ersozlu and Kaidar Nurumov
    Citation: Large-scale Assessments in Education 2022 10:8
  28. When scaling psychological tests with methods of item response theory it is necessary to investigate to what extent the responses correspond to the model predictions. In addition to the statistical evaluation ...

    Authors: Katharina Fährmann, Carmen Köhler, Johannes Hartig and Jörg-Henrik Heine
    Citation: Large-scale Assessments in Education 2022 10:7
  29. One major challenge of longitudinal data analysis is to find an appropriate statistical model that corresponds to the theory of change and the research questions at hand. In the present article, we argue that con...

    Authors: Julian F. Lohmann, Steffen Zitzmann, Manuel C. Voelkle and Martin Hecht
    Citation: Large-scale Assessments in Education 2022 10:5
  30. This study highlighted how particular intersections of personal characteristics were related to Motivation to Learn (MtL) among adults. MtL is a prerequisite for adult education and training participation. How...

    Authors: Takashi Yamashita, Thomas J. Smith, Shalini Sahoo and Phyllis A. Cummins
    Citation: Large-scale Assessments in Education 2022 10:1
  31. Analysis of user-generated data (for example process data from logfiles, learning analytics, and data mining) in computer-based environments has gained much attention in the last decade and is considered a pro...

    Authors: Damian Murchan and Fazilat Siddiq
    Citation: Large-scale Assessments in Education 2021 9:25
  32. The aim or the present study was to examine the relative importance of financial education in school and families and dispositional factors (competitiveness, work mastery, meta-cognition) in predicting financi...

    Authors: Gintautas Silinskas, Arto K. Ahonen and Terhi-Anna Wilska
    Citation: Large-scale Assessments in Education 2021 9:24
  33. After elementary school, students in Germany are separated into different school tracks (i.e., school types) with the aim of creating homogeneous student groups in secondary school. Consequently, the developme...

    Authors: Theresa Rohm, Claus H. Carstensen, Luise Fischer and Timo Gnambs
    Citation: Large-scale Assessments in Education 2021 9:23
  34. This study aims to examine the relative effects of student, family and school-related characteristics on 4th grade students’ math achievement according to location of the school in Turkey. The data of 6435 stu...

    Authors: Ekber Tomul, Emine Önder and Erdal Taslidere
    Citation: Large-scale Assessments in Education 2021 9:22
  35. This paper presents the R Analyzer for Large-Scale Assessments (RALSA), a newly developed R package for analyzing data from studies using complex sampling and assessment designs. Such studies are, for example, th...

    Authors: Plamen V. Mirazchiyski
    Citation: Large-scale Assessments in Education 2021 9:21
  36. International large-scale assessments such as PISA or PIAAC have started to provide public or scientific use files for log data; that is, events, event-related attributes and timestamps of test-takers’ interac...

    Authors: Frank Goldhammer, Carolin Hahnel, Ulf Kroehne and Fabian Zehner
    Citation: Large-scale Assessments in Education 2021 9:20
  37. In testing contexts that are predominately concerned with power, rapid guessing (RG) has the potential to undermine the validity of inferences made from educational assessments, as such responses are unreflect...

    Authors: Joseph A. Rios and Jiayi Deng
    Citation: Large-scale Assessments in Education 2021 9:18
  38. Research in international large-scale assessment (ILSA) has become an increasingly popular field of study in education. Consequently, interest and debate in the field by practitioners, researchers, policymaker...

    Authors: Daniel Hernández-Torrano and Matthew G. R. Courtney
    Citation: Large-scale Assessments in Education 2021 9:17
  39. Evidence so far shows that Waldorf students are characterized by average science achievement but at the same time high socioeconomic status and high science motivation. Moreover, Waldorf education is character...

    Authors: Silvia Salchegger, Christina Wallner-Paschon and Christian Bertsch
    Citation: Large-scale Assessments in Education 2021 9:14

Annual Journal Metrics

This journal is indexed by

    • Emerging Sources Citation Index
    • SCOPUS
    • Google Scholar
    • DOAJ
    • EBSCO Discovery Service
    • ERIC
    • OCLC WorldCat Discovery Service
    • ProQuest Central
    • ProQuest Education Database
    • ProQuest Professional Education
    • ProQuest Social Science Collection
    • ProQuest-ExLibris Summon
    • ProQuest-ExLibris Primo
    • UGC-CARE List (India)
    • TD Net Discovery Service
    • SCImago
    • Navar
    • Gale
    • ERIC
    • Dimensions
    • Chinese Academy of Sciences (CAS) - GoOA
    • CNKI
    • BFI List

Society affiliation

          New Content Item

Large-scale Assessments in Education is fully sponsored by IERI, the IEA-ETS Research Institute, a collaborative effort between the Research & Development Division at ETS and the International Association for the Evaluation of Educational Achievement (IEA) that focuses on improving the science of large-scale assessments. Authors do not need to pay an article-processing charge.