Previous studies of individual differences have revealed strong correlations between children's vocabulary and grammatical abilities, and these data have been used to support theoretical accounts positing direct developmental ...

This meta-analysis maps the evidence on the effectiveness of instructional approaches and conditions for learning computer programming under three study conditions: (a) Studies focusing on the effectiveness of programming ...

A large research gap exists between psychological research about intelligence on the one hand and educational research about competence on the other hand. Both constructs are only rarely examined within one study. From an ...

The ability to construct meaning from texts is the core of reading. We report a meta-analysis and a systematic review of 64 longitudinal studies tracing the development of reading comprehension from preschool. Previous ...

In countries with universal access to early childhood education and care (ECEC), child participation is high across a range of socioeconomic groups. However, ECEC quality is often varying, and many children spend much time ...

The increasing digitalization in the field of psychological and educational testing opens up new opportunities to innovate assessments in many respects (e.g., new item formats, flexible test assembly, efficient data ...

Crafting a validity argument is crucial for the development of any assessment of ICT literacy. In about the context of studying gender differences in ICT literacy, it has therefore become essential to ensure that gender ...

Current debates on students' use of information and communication technology (ICT) have brought to attention profiles and purposes of ICT use in either school-related or recreational contexts. Examining these two contexts ...

Reporting the reliability of the scores obtained from a scale or test is part of the standard repertoire of empirical studies in psychology. With reliability being a key concept in psychometrics, researchers have become ...

In diagnostic classification models (DCMs), the Q matrix encodes in which attributes are required for each item. The Q matrix is usually predetermined by the researcher but may in practice be misspecified which yields ...