There is clear scientific evidence linking climate change to human activity. Despite this, we still find numerous public figures claiming there is no climate change, or that climate change data is "fake news." Societal polarization around climate change (Worland 2017; Pernett 2017; McCright and Dunlap 2011) can provide students with…

When practitioners use modern measurement models to evaluate rating quality, they commonly examine rater fit statistics that summarize how well each rater's ratings fit the expectations of the measurement model. Essentially, this approach involves examining the unexpected ratings that each misfitting rater assigned (i.e., carrying out analyses of…

Our objective is the estimation of voter transitions between two consecutive parliamentary elections. Usually, such analyses have been based either on individual survey data or on aggregated data. To move beyond these methods and their respective problems, we propose the application of so-called hybrid models, which combine aggregate and…

The "Texas Higher Education Data" website offers policymakers, students, parents, K-12 educators, media, researchers, and faculty a collection of education data designed to help shape policy and inform initiatives that will move Texas closer to achieving the goals of the "60x30TX" strategic plan and will lay the foundation for…

The recent change in the general social survey (GSS) to a rotating panel design is a landmark development for social scientists. Sociological methodologists have argued that fixed-effects (FE) models are generally the best starting point for analyzing panel data because they allow analysts to control for unobserved time-constant heterogeneity. We…

The data revolution has given citizens access to enormous large-scale open databases. In order to take into account the full complexity of data, we have to change the way we think in terms of the nature of data and its availability, the ways in which it is displayed and used, and the skills that are required for its interpretation. Substantial…

This paper investigates the intersection of big data and philosophy of education by considering big data's potential for addressing learning via a holistic process of coming-to-know. Learning, in this sense, cannot be reduced to the difference between a pre- and post-test, for example, as it is constituted at least as much by qualities of…

When reviewing single-case design research, the What Works Clearinghouse (WWC) first reviews each single-case design experiment within a study (or research article) to determine whether it meets standards. For each experiment that meets standards, the WWC then uses visual analysis to characterize the evidence of a causal relationship. The WWC…

This case study describes an experience of using constructivist grounded theory to analyze data. The project investigated how high school students improved their approaches to learning mathematics. Over 4 months, students participated in processes which supported their learning while simultaneously generating data, including interactive writing,…

This guidebook is designed for institutional leaders and student success teams who are ready to talk openly about the students they serve and who are eager to learn practical strategies from national experts and peer institutions. We cannot design an experience that meets our students where they are unless we holistically understand who they are.…

Data-informed decision-making has always been -- and always will be -- a smart approach to policy, including at institutions of higher education. Just over one year since the COVID-19 pandemic radically and abruptly shifted every aspect of higher education, states and institutions are tackling the same student success goals as before, but with…

Thanks to extraordinary and exponential improvements in data storage and computing capacities, it is now possible to collect, manage, and analyze data in magnitudes and in manners that would have been inconceivable just a short time ago. As the world has developed this remarkable capacity to store and analyze data, so have the world's governments…

Data are becoming increasingly important in science and society, and thus data literacy is a vital asset to students as they prepare for careers in and outside science, technology, engineering, and mathematics and go on to lead productive lives. In this paper, we discuss why the strongest learning experiences surrounding data literacy may arise…

In accordance with the Reports Consolidation Act of 2000, the OIG reports annually on the most serious management and performance challenges the Department faces. For FY 2024, we identified seven management challenges for the Department: (1) Implementing pandemic relief laws for elementary and secondary education; (2) Implementing pandemic relief…

The Carl D. Perkins Career and Technical Education Act (Perkins Act) is the primary federal law aimed at developing and supporting career and technical education (CTE) programs for secondary and postsecondary students. In the 109th Congress, the Perkins Act was reauthorized by the Carl D. Perkins Career and Technical Education Improvement Act of…