This study examined the predictive power of students' demographic characteristics, reading attitudes, school characteristics, and teacher-informed reading activities on three metacognitive reading skills: understanding and remembering, summarizing, and assessing credibility and their influence on 15-year-old students' reading scores. The dataset…

The importance of family background in determining a student's academic achievement has long been acknowledged by researchers. Nonetheless, the effect of schooling on this relationship has also been widely investigated. Some studies have shown that family background plays a far stronger role while the effect of schooling is minimal; others have…

The purpose of this study is to examine the effect of missing data imputation methods, namely regression imputation (RI), multiple imputation (MI) and k-nearest neighbor (kNN) on differential item functioning (DIF). In this regard, the datasets used in the research were created by deleting some of the data via the missing completely at random…

The research aims to determine the factors affecting PISA 2018 reading skills using the Random Forest and MARS methods and to compare their prediction abilities. This study used the information from 5713 students, 2838 (49.7%) male and 2875 (50.3%) female, in the PISA 2018 Turkey. The analysis shows the MARS method performed better than the Random…

In December 2019, the Organisation for Economic Co-operation and Development released the latest results of its triennial Programme for International Student Assessment (PISA) testing. What followed was a flurry of media reports in the participant countries about the 2018 PISA results that were interpretive rather than descriptive. Whilst there is…

The article explores the importance of early reading proficiency and its long-term impact on academic and life outcomes, particularly in Romania. Analyzing PISA data, the article highlights significant literacy gaps between advantaged and disadvantaged students, as well as urban and rural learners. These disparities perpetuate intergenerational…

Mechanisms causing item nonresponses in large-scale assessments are often said to be nonignorable. Parameter estimates can be biased if nonignorable missing data mechanisms are not adequately modeled. In trend analyses, it is plausible for the missing data mechanism and the percentage of missing values to change over time. In this article, we…

TIMSS and PIRLS assess representative samples of students at regular intervals, measuring trends in student achievement and student contexts for learning. Because individual students are not tracked over time, analysis of international large-scale assessment data is usually conducted cross-sectionally. Gustafsson (2007) proposed examining the data…

There are many great stories of schools and districts effectively using MAP® Growth™ data to change the trajectory of student learning--but the stories don't often begin in high school. That's why Southwest Local School District in Ohio and their incredible growth are so unique. How did they start with an effective intervention at the high school…

The Trends in International Mathematics and Science Study (TIMSS) is one of the most influential assessments of student achievement conducted at regular interval every four years. It provides reliable data about the mathematics and science achievement of students in grade 4 and grade 8, as well as data that informs instruction, curriculum…

Purpose: Fabricated data jeopardize the reliability of large-scale population surveys and reduce the comparability of such efforts by destroying the linkage between data and measurement constructs. Such data result in the loss of comparability across participating countries and, in the case of cyclical surveys, between past and present surveys.…

This article examines emerging techniques of educational governance--based on time, difference and potential--enabled by the Organisation for Economic Cooperation and Development's PISA-based Test for Schools ('PISA for Schools'). I show how PISA for Schools facilitates the production of difference through comparative test data, allowing educators…

When Superintendent Dennis Vespe came to Somerdale Park School District, he was very interested in strengthening teachers' capacity to track student growth and progress. To do this, he knew the district needed to enhance its "ability to accurately assess and accurately drive instruction." But years of experience had taught him that new…

Multiple imputation (MI) can be used to address missing data at Level 2 in multilevel research. In this article, we compare joint modeling (JM) and the fully conditional specification (FCS) of MI as well as different strategies for including auxiliary variables at Level 1 using either their manifest or their latent cluster means. We show with…

In New Mexico's Rio Rancho school district, students and educators at Puesta del Sol Elementary take inspiration from Spirit the Eagle's ability to soar. The mascot, who presides over approximately 750 students and 100 staff members, embodies the vision and tenaciousness that lifted the suburban Albuquerque school from a disappointing state report…