The present study examines the measurement property of instructional quality in mathematics education, building on data from teachers and students, by combing TALIS 2013 and PISA 2012 linkage data from seven countries. Confirmatory factor analysis was applied to examine the dimensionality of the construct instructional quality in mathematics…

This article focuses on how principals can use parallel surveys that tap multiple perspectives to identify improvement needs, priorities, and the relevance and effectiveness of actions and strategies implemented, and ultimately use this data to support ongoing improvement. We explore the use of survey data that couples principals' self-assessment…

There has been a sustained interest in student perceptions about STEM fields and their choice of careers over the past few decades. Research has shown that there is a decline in students pursuing STEM careers, and this has raised global concern. Despite these issues, no unistructural, broad, parsimonious and unambiguous quantitative instrument…

The current study examines how teachers' professional wellbeing is affected by teacher-level and school-level factors using the TALIS 2018 data. Teacher-level factors consist of teachers' instructional practices and teachers' professional practices and school-level factors include school climate, school leadership styles and workload. The…

Currently, Shanghai, China is facing a contradictory situation in process of digitalization in education. Supply and allocation of information and communications technology (ICT) infrastructure are relatively adequate and equitable, but the share of teacher-supported classroom ICT use for student learning in digital environment is much lower than…

This study aims to explore relationship between teacher self-efficacy and teacher teaching practice in junior high schools at Taiwan. TALIS (2018) survey database is adopted, and 3106 teachers were analyzed in this research. Through literature review and exploratory factor analysis (EFA), the research model is assumed to include two constructs…

Despite the strong criticisms, mass student surveys play an important role in the quality assurance process of national higher education systems. While some national higher education systems have a long history of using student surveys to inform teaching and course quality improvement (e.g. the UK, Australia), in Italy, where the quality assurance…

Previous research suggests that creativity training is effective in academic settings, and that creative skills are increasingly important for success within unconventional careers such as self-employment or starting a business. This study extends research on creativity and entrepreneurial training in higher education, using data from the National…

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…

Several studies have identified a recurring trend that speech-language pathologists (S-LPs) in countries such as the United States (Caesar & Kitila, 2020), South Africa (Singh et al., 2015), and Malaysia (Kamal et al., 2012) report lower levels of confidence in dysphagia management, whether in comparison to other practice areas or in certain…

Many school nurses experienced increased work burden and stress during the COVID-19 pandemic. This analysis examined data from a Centers for Disease Control and Prevention cross-sectional, nationwide survey of school nurses in March 2022 to examine associations between school nurses' ability to conduct their core responsibilities and selected…

The purpose of this research was to identify the comfort levels of professionals with AI in various humanlike roles. A survey of 787 full-time working adults showed that more active AI users are comfortable with AI in many humanlike roles, such as a teammate or a performance coach. Less active AI users, however, are uncomfortable with AI in these…

Behavioral threat assessment is a widely used violence prevention strategy in schools, but there is little research on how frequently a student attempts to carry out a threat of violence after a threat assessment and whether schools accurately recognize and classify these cases. This study investigated: 1) how often students attempted violence and…

Not knowing the population size is a common problem in data-limited contexts. Drawing on work in Sierra Leone, this short take outlines a four-step solution to this problem: (1) estimate the population size using expert interviews; (2) verify estimates using interviews with participants sampled; (3) triangulate using secondary data; and (4)…

Conducting research among hard-to-reach populations is a difficult endeavor because some of their characteristics are known to be associated with survey nonresponse and panel attrition. In the case of the Parchemins study, which followed undocumented migrants over their process of regularization and during the first years of regularized life in…