Sensitivity analyses can inform evidence-based education policy by quantifying the hypothetical conditions necessary to change an inference. Perhaps the most prevalent index used for sensitivity analyses is Oster's (2019) Coefficient of Proportionality (COP). Oster's COP leverages changes in estimated effects and R[superscript 2] when observed…

This case study examines the critical role school leaders play in teacher data use. Aligned with previous literature, we find that educators perceive high levels of support for data use and prefer formative data; however, observations showed a data use method unlike previously described inquiry cycles. From these findings we propose a new data use…

GRE Aptitude Test scores have been a key criterion for admissions to U.S. graduate programs. However, many universities lifted their standardized testing requirements during the COVID-19 pandemic, and many decided not to reinstate them once the pandemic ended. This change poses additional challenges in evaluating prospective students. In this…

The three-step Parsonian approach has lasted more than a century and paved the foundation to the modern career counselling, which emphasized the importance of knowing the self, the environment, and "true reasoning". The use of assessments remains as an integral part of career counselling. Therefore, the current study aims to carefully…

Family characteristics such as socioeconomic status (SES) and migration background (MiBa) predict children's early mathematical skills. This study investigated the associations between SES and MiBa and children's mathematical precursor skills, mediated by different facets of the home numeracy environment (HNE) in a German sample (N = 500). In…

Various programs for marginalized young people have been intentionally designed to increase the diversity in STEM careers; however, racially and ethnically minoritized individuals' participation in STEM disciplines continued to be underrepresented. Using identity theory and drawing data from an NSF-funded survey of 1,134 participants, these…

The purpose of this study was to investigate the network of relationships among self-efficacy, intrinsic motivation, and self-worth of adolescent singers. Participants volunteered for the study consisted of 215 high school students enrolled in choir from five public high schools in the United States. Data were gathered via a self-report…

Assessment of Motivation to learn (MtL) is challenging in the diverse populations. Commonly used method (i.e., exact invariance test) may not be suitable for companions of many subgroups. This study employed an alignment optimization method (a.k.a., approximate invariance test) and data of the working age (25-65 years old) U.S. adults (n = 5,509)…

Subsidies via the Child Care and Development Fund (CCDF) are used to improve child care access, and CCDF law prioritizes specific groups of children/families to promote more equitable access. We conducted a latent profile analysis using a national dataset of centers (n = 3,474) utilizing subsidies. We identified subgroups of centers based on…

Recent research on more comprehensive models of student learning in adaptive math learning software used an indicator of student reading ability to predict students' tendencies to engage in behaviors associated with so-called "gaming the system." Using data from Carnegie Learning's MATHia adaptive learning software, we replicate the…

Computer gameplay and social media are the two most common forms of entertainment in the digital age. Many scholars share the assumption that leisure-time digital consumption is associated with CS affinity, but there is a dearth of research evidence for this relationship. Female students generally spend less time on gaming and more time on social…

Writing in a second language is an effortful activity that relies on the attentional resources of the writer's working memory for information processing. According to the interference account, anxiety affects students' writing performance because it depletes the resources necessary for the storage, retrieval, and manipulation of information in…

There is less attention on examining algorithmic fairness in secondary education dropout predictions. Also, the inclusion of protected attributes in machine learning models remains a subject of debate. This study delves into the use of machine learning models for predicting high school dropouts, focusing on the role of protected attributes like…

This study aims at investigating the factors affecting the prospective teachers 'innovativeness level by structural equation modeling. For this purpose, the predictive relationships between gender, grade level, department, and risk-taking behaviors, and pre-service teachers' innovativeness levels were analyzed by path analysis. The correlational…

Metacognitive information has been shown to be related to performance in learning tasks. We investigated feelings of difficulty (FOD) in the context of university-level mathematics and asked whether and to what extent they predict performance. To this end, we conducted an experiment with 90 students and six experienced lecturers. We carefully…