In prior work, we fit the mixture Rasch model to item responses from a fractions survey administered to a nationwide sample of middle grades mathematics teachers in the United States. The mixture Rasch model located teachers on a continuous, unidimensional scale and fit best with 3 latent classes. We used item response data to generate initial…

Plant identification is a skill that takes years to hone and develop, yet it is important in understanding diversity in biology while in school. This is highlighted when studying ecological succession in A-level biology where students are often unable to notice the different species, which leads to the production of poor-quality data, potentially…

The relation between reading and mathematics achievement is an active area of research, and evidence in the extant literature suggests they are closely related. However, there is a lack of understanding about how their relation develops over time. Indeed, traditional longitudinal analyses have focused on investigating each domain independently,…

This study explores the diversity of university mathematics teachers' perspectives and experiences in relation to the (STT). Data for this study consist of responses of 310 university mathematics teachers from 30 countries to a survey. The survey design and data analysis are informed by an adaptation of a theory of improvement for education and by…

The purpose of the current study was to develop and validate the Online Teaching Motivation Scale (OTMS), a survey instrument designed to reliably measure motivational constructs related to online teaching and learning. The widespread prevalence of online and hybrid teaching modalities, many established during the COVID-19 pandemic, has…

One Extension Specialist implemented a STEM pilot robotics program across three middle school settings. A program evaluation to provide guidance and recommendations for future development, implementation, and continued evaluation was conducted as part of a larger study. This process led to the development of a condensed STEM survey that can be…

Although education is arguably one of the most central institutions in contemporary European societies, only recently scholars have started to study opinions that relate to the perceived legitimacy of education among the public at large. This paper contributes to this emerging literature. Based on data from the most recent wave of the European…

This research examines the reasons why parent(s)/guardian(s) have chosen to enroll their child in a Catholic high school in the New Orleans area. Currently enrollment in Catholic high schools in the area is down post-Hurricane Katrina. This research is a qualitative study utilizing Grounded Theory methodology. An anonymous survey was sent to…

In order to further understand the experiences of lesbian, gay, bisexual, transgender, queer-plus (LGBTQ+) youth, they must be identified in surveys and data at the federal, state, and local level. Being able to identify LGBTQ+ youth in data, particularly in surveys and research about school climate and negative school experiences, including…

This paper focusses on how careers advice provided to Australian secondary school students varies according to students' socio-economic background. National data for students in Years 11 and 12 from five cohorts of the Longitudinal Surveys of Australian Youth initiated between 1998 and 2015 are analysed. Students from higher socio-economic…

This study investigates the suitability of the STEM Career Interest Survey (STEM-CIS) to measure secondary school students' aspirations towards STEM subjects and careers. A confirmatory factor analysis (CFA) was conducted to assess the initial structural validity of the adapted STEM-CIS survey, where the science subscale was extended to four…

Purpose: There is little consensus in the literature regarding a) what it means for a school leader to lead with data, and b) how to measure data-informed leadership in a reliable and valid way. This study examines the psychometric properties of an operational measure intended to assess the extent to which a school leader is a data-informed school…

Qualitative researchers often turn to focus groups as an efficient and effective way to gather data in a collective context. A common critique is that they play into power dynamics present at the site, privileging dominant, high status, and more vocal participants. Traditional focus group structures also rely on participants to trust the…

Machine learning (ML) methods for causal inference have gained popularity due to their flexibility to predict the outcome model and the propensity score. In this article, we provide a within-group approach for ML-based causal inference methods in order to robustly estimate average treatment effects in multilevel studies when there is cluster-level…

Education leaders must identify valid metrics to predict student long-term success. We exploit a unique dataset containing data on cognitive skills, self-regulation, behavior, course performance, and test scores for 8th-grade students. We link these data to data on students' high school outcomes, college enrollment, persistence, and on-time degree…