The aim of this study is to investigate the presence of DIF over the gender variable with the latent class modeling approach. The data were collected from 953 students who participated in the PISA 2018 8th-grade financial literacy assessment in the USA. Latent Class Analysis (LCA) approach was used to identify the latent classes, and the data fit…

Multiple group modeling is one of the methods to address the measurement noninvariance issue. Traditional studies on multiple group modeling have mainly focused on item responses. In computer-based assessments, joint modeling of response times and action counts with item responses helps estimate the latent speed and action levels in addition to…

The OECD's Programme of International Student Assessment known as PISA, including the Gender Report published in 2015, is a well-received project and its findings keep being transferred into educational policy development. Its quantitative methodology and the sheer volume of data gathered from around 5,100,000 students from 65 countries seem to…

In this article, a science interest network model (SINM) is introduced and a first empirical test of the model is presented. The SINM models interest as a dynamic relational construct, in which different interest components, that is, affective, behavioral, and cognitive components and related motivational components mutually reinforce one another…

Data from a Swedish PISA-sample were used (1) to identify a digital reading factor, (2) to investigate gender differences in this factor (if found), and (3) to explore how computer game playing might relate to digital reading performance and gender. The analyses were conducted with structural equation modeling techniques. In addition to an overall…

In this study, the aim was to construct a significant structural measurement model comparing students' affective characteristics with their mathematic achievement. According to this model, the aim was to test the measurement invariances between gender sub-groups hierarchically. This study was conducted as basic and descriptive research. Secondary…

To find out if information and communication technology (ICT) could narrow the achievement gaps among students caused by variations in their socioeconomic status, this study examines the mediating mechanism of ICT use between students' socioeconomic status (SES) and achievement. Data from the 2012 East Asia Program for International Student…

This study explored the relationships among high school students' reading comprehension achievement, three latent constructs (reading comprehension strategy use, reading comprehension strategy instruction, reading attitudes), and five control variables (gender, minority status, socio-economic status [SES], class time, class size). The purpose of…

This study examined the empirical differences between the tendency to omit items and reading ability by applying tree-based item response (IRTree) models to the Japanese data of the Programme for International Student Assessment (PISA) held in 2009. For this purpose, existing IRTree models were expanded to contain predictors and to handle…

The current study investigates the mediating role of student-student relationships (SSRs) and teacher-student relationships (TSRs) in the association between neuroticism and test anxiety. Gender differences in these associations were examined. A total of 513 adolescent girls and boys from secondary schools in Berlin, Germany completed…

The main aim of the present study was to carry out an in-depth examination of mathematics underperformance in Greece. By applying a binary multilevel model to the PISA 2012 data, this study investigated the factors which were linked to low achievement in mathematics. The multilevel analysis revealed that students' gender, immigration status,…

The study examines the role that perceptions or impressions of learning environments and assessments play in students' performance on a large-scale standardized test. Hierarchical linear modeling (HLM) was used to test aspects of the Learning Errors and Formative Feedback model to determine how much variation in students' performance was explained…

Drawing on the programme for international student assessment 2009 US data-set, this study examines the relationship between formative assessment and students' reading achievement using a structural equation modelling approach. We find that formative assessment is positively related to students' reading achievement directly and indirectly (through…

In this paper, we explored the relationship between self-efficacy, Information and Communication Technology (ICT) user profiles, and gender. Self-efficacy is an important theoretical and empirical concept to identify and describe how students perceive their own ability to solve a task. ICT user profiles were developed as an empirical framework to…

This study uses hierarchical linear modeling to examine the influence of a range of factors on the science performances of Hong Kong students in PISA 2006. Hong Kong has been consistently ranked highly in international science assessments, such as Programme for International Student Assessment and Trends in International Mathematics and Science…