The importance of non-cognitive skills for academic achievement and future success has been emphasized but the invariance among the relationships of these constructs across different groups and countries is rarely studied. In this study, we used a novel approach, psychometric network analysis, to analyze the invariance of connections between…

The PISA assessment 2022 of creative thinking was a moonshot effort that introduced significant advancements over existing creativity tests, including a broad range of domains (written, visual, social, and scientific), implementation in many languages, and sophisticated scoring methods. PISA 2022 demonstrated the general feasibility of assessing…

Achievement tests are commonly used in education to evaluate students' academic performance and proficiency in specific subject areas. However, there is a major problem that threatens the validity of achievement test scores which is test-taking disengagement. Respondents provide answers that are inconsistent with their true ability level and can…

This study examined the psychometric properties of the Positive and Negative Affect Schedule for Children-Short Form (PANAS-C-SF) in a diverse sample of 15-year-olds in the United States [N = 4382]. Multiple measurement models, including a one-factor model, two-factor orthogonal and oblique models, a three-factor model (PA, Fear, and Distress),…

Conducting a fair test is important for educational research. Unfair assessments can lead to gender disparities in academic achievement, ultimately resulting in disparities in opportunities, wages, and career choice. Differential Item Function [DIF] analysis is presented to provide evidence of whether the test is truly fair, where it does not harm…

In Programme for International Student Assessment (PISA), item response theory (IRT) scaling is used to examine the psychometric properties of items and scales and to provide comparable test scores across participating countries and over time. To balance the comparability of IRT item parameter estimations across countries with the best possible…

Background/Context: Impact evaluations of schooling reforms in developing countries typically focus on tests of student achievement that are designed and implemented by researchers. Are these tests any good? What practical and principled guidance should researchers in the field follow? We aim to answer these questions. Test scores have, of course,…

Rising inequality in the United States has raised concerns about potentially widening gaps in educational achievement by socioeconomic status (SES). Using assessments from LTT-NAEP, Main-NAEP, TIMSS, and PISA that are psychometrically linked over time, we trace trends in SES gaps in achievement for U.S. student cohorts born between 1961 and 2001.…

Recognizing the limitations of the existing frameworks and models applied to estimate the learning loss caused by COVID-19 across the world by different studies, and the urgent need for estimating such loss at the different education levels, this paper, employs the Education Value Chain Analysis ( EVCA) approach as a new paradigm, attempts to…

This paper traces the complexities, contingencies and tensions involved in the creation of a new, 'scientific' assessment in what we call Prefecture A in Japan. We start with a thick, granular description of the complicated and ongoing narrative of a new policy emergence. This descriptive account serves as a precursor to our application of an…