Despite reaching global parity in enrollment, gender and wealth disparities in education continue to undermine girls' learning and opportunities in low- & middle- income countries. This data brief was created by the Population Council's GIRL Center and the Evidence for Gender and Education Resource (EGER) in collaboration with the Girls First…

The explosion in availability and variety of data requires learning experiences that reveal more of the data world faster and develop practical skills with digital technologies. Key high-level goals of the International Data Science in Schools Project (IDSSP) include having students continually immersed in the cycle of learning from data, and data…

The purpose of our study was to systematically compile fatality data in Canada involving minors in school and youth groups engaged in outdoor learning, and then compare these incidents to other available data related to risk of fatalities, fatality rates, patterns, and contributory causes. This mixed methods study involved collecting fatality data…

Purpose: The purpose of this study is to explore teen-adult dialogic interactions during the co-design of data literacy activities in order to determine the nature of teen thinking, their emotions, level of engagement, and the power of relationships between teens and adults in the context of data literacy. This study conceives of co-design as a…

Mixed methods research requires integration of qualitative and quantitative data. However, there is debate about how to define integration and what is required for integration to occur. This paper describes a mixed methods research project which revisits datasets from different eras, which were originally instigated for different purposes and had…

The main purpose of this study was to compare delay discounting of hypothetical monetary outcomes by adolescents adjudicated of illegal behavior to that of college students in order to lay a foundation for future discounting work with adjudicated adolescents. It is important to note that we conducted this work during the COVID-19 pandemic, which…

With the emergence of the Industrial Revolution 4.0, modern technologies such as cloud computing, artificial intelligence, and big data are profoundly transforming the education ecosystem. The development of education is not only faced with huge challenges but also contains rare opportunities. New concepts such as deep learning, adaptive learning,…

In order to investigate causality in situations where random assignment is not possible, propensity scores can be used in regression adjustment, stratification, inverse-probability treatment weighting, or matching. The basic concepts behind propensity scores have been extensively described. When data are longitudinal or missing, the estimation and…

Missing data are a persistent problem in psychological research. Peer nomination data present a unique missing data problem, because a nominator's nonparticipation results in missing data for other individuals in the study. This study examined the range of effects of systematic nonparticipation on the correlations between peer nomination data when…

Ecological momentary assessment (EMA) is a popular assessment method in psychology that aims to capture events, emotions, and cognitions in real time, usually repeatedly throughout the day. Because EMA typically involves more intensive monitoring than traditional assessment methods, missing data are commonly an issue and this missingness may bias…

Social determinants of health are the key to understanding and addressing persistent disparities in adolescent pregnancy in the United States. However, there is little guidance on what concrete steps organizations can take to work at the intersection of social determinants of health (SDoH) and sexual and reproductive health (SH). Two…

Social work researchers often use variable-centered approaches such as regression and factor analysis. However, these methods do not capture important aspects of relationships that are often imbedded in the heterogeneity of samples. Latent class analysis (LCA) is one of several person-centered approaches that can capture heterogeneity within and…

This article discusses how process indicators can complement outcomes as part of a comprehensive explanatory evaluation framework, using the example of skills-based behavioural interventions to prevent sexually transmitted infections and promote sexual health among young people in schools. A systematic review was conducted, yielding 12 eligible…

Fraction of missing information [lambda][subscript j] is a useful measure of the impact of missing data on the quality of estimation of a particular parameter. This measure can be computed for all parameters in the model, and it communicates the relative loss of efficiency in the estimation of a particular parameter due to missing data. It has…

Reference data for the acoustic vowel space area (VSA) in children and adolescents do not currently appear to be available in a form suitable for normative comparisons. In the current study, individual speaker formant data for the four corner vowels of American English (/i, u, ae, [alpha]/) were used to compute individual speaker VSAs. The sample…