We propose a new method for analyzing and visualizing information on a large collection of personal networks to uncover the socio-centric structure of relationships among aggregated actors that we clustered into categories. The network of categories identifies the links between groups of sampled ego actors sharing a given attribute (e.g.,…

This study explored (1) the effect of applying an autocalibration algorithm on accelerometer data analyzed using different signal processing techniques and (2) how these techniques changed the signal composition. Using a dataset of preschoolers (n = 137; 4.31 ± 0.87 years; Actigraph accelerometers (100 Hz) on right hip 24 hours/7 days) the vector…

Automatically collected behavioral data on the location of users of mobile phones offer an unprecedented opportunity to measure mobilization in mass protests, while simultaneously expanding the range of researchable questions. Location data not only improve estimation of the number and composition of participants in large demonstrations. Thanks to…

Students' emotions in the classroom are highly dynamic and thus typically strongly vary from one moment to the next. Methodologies like experience sampling and daily diaries have been increasingly used to capture these momentary emotional states and its fluctuations. A recurring question is to what extent aggregated state ratings of emotions over…

This study investigates the impact of different modes and tailor-made response enhancing measures (TMREM)--such as bilingual interviewers with a shared ethnic background and translated questionnaires--on the measurement of substantive variables in surveys among minority ethnic groups in the Netherlands. It also provides insight into the ability to…

As the number of jobs in the science, technology, engineering, mathematics (STEM) workforce grows exponentially, there has never been a more important time to provide students with real-world learning opportunities that have 21st century implications. Measuring things that matter is a fundamental skill that formulates the backbone of many concepts…

Before the COVID-19 pandemic, the world struggled to address growing educational inequalities and fulfil the commitment to Sustainable Development Goal 4, which seeks to ensure inclusive and equitable quality education and promote lifelong learning opportunities for all. The pandemic has exacerbated these inequalities and changed how education…

Self-report is a fundamental research tool for the social sciences. Despite quantitative surveys being the workhorses of the self-report stable, few researchers question their format--often blindly using some form of Labelled Categorical Scale (Likert-type). This study presents a brief review of the current literature examining the efficacy of…

This study combined the methods from student approaches to learning and learning analytics research by using both self-reported and observational measures to examine the student learning experience. It investigated the extent to which reported approaches and perceptions and observed online interactions are related to each other and how they…

A curriculum map is a visualisation of relationships within and between a curriculum or curricula. Curriculum mapping refers to the method for creating and using the curriculum map, however this term is used broadly and encompasses a variety of methodological approaches. Often, researchers in the field of curriculum studies conduct curriculum…

Autistic children and adults who are non-verbal/minimally verbal or have an intellectual disability have often been excluded from Autism Spectrum Disorder research. Historical, practical and theoretical reasons for this exclusion continue to deter some researchers from work with this underserved population. We discuss why these reasons are neither…

This commentary discusses the implication of child and adolescent development research for public policy in Latin America. As illustrated by the articles in this special issue, even though the research of child and adolescent development in Latin America is making significant progress, still more research is needed. Developmental research in the…

This report explores the definition and selection of science and technology-related (STEM) jobs in-depth. Examples from the United States, United Kingdom, and Australia are described, with similarities and differences highlighted. [This document was produced by the author(s) based on their research for "What Is STEM? The Need for Unpacking…

The Measuring Early Learning Quality and Outcomes (MELQO) initiative began in 2014 in anticipation of a new global emphasis on early childhood development (ECD). Led by UNESCO, the World Bank, the Center for Universal Education at the Brookings Institution, and UNICEF, the initiative aims to promote feasible, accurate and useful measurement of…

This study aimed at analyzing Iranian EFL teachers' beliefs toward classroom management and the relationship between teachers' beliefs and their actual practices of classroom management in regard with individual variables such as gender, education degree, and teaching experience. The data were collected using a behavior and instructional…