This Article comes from a series of 2 h instrumental analysis laboratory experiments developed in response to social distancing requirements established because of the coronavirus pandemic (COVID). The experiments provided rich data-analysis opportunities that taught students the chemical principles that underpin instrumental techniques, yet made…

The Minnesota K-12 Academic Standards in Mathematics represent the work of the Mathematics Standards Review Committee who, during the 2021-22 school year, reviewed the 2007 Minnesota K-12 Academic Standards in Mathematics, other states' recently revised standards, current academic research, K-12 instructional best practices and public feedback.…

This dissertation examines the efficacy of a professional development program in developing data literate and culturally proficient community college instructors. Existing research suggests that there is a need for high-quality professional development in Cultural Proficiency and data literacy for community college instructors to make continuous…

The purpose of this study was to examine the comparability of counts of embedded instruction learning trials when different methods of viewing and recording direct behavioral observations were used. In 13 classrooms, while videotaping embedded instruction implementation for a larger randomized controlled efficacy trial was occurring, teachers'…

Increasing numbers of students require internet access to pursue their undergraduate degrees, yet broadband access remains inequitable across student populations. Furthermore, surveys that currently show differences in access by student demographics or location typically do so at high levels of aggregation, thereby obscuring important variation…

Measuring change in an educational or psychological construct over time is often achieved by repeatedly administering the same items to the same examinees over time and fitting a second-order latent growth curve model. However, latent growth modeling with full information maximum likelihood (FIML) estimation becomes computationally challenging…

The Learning Initiatives for the Future of Education (LIFE) are outlined in this chapter with an introduction to the historical developments of education research at NIE. LIFE's aims and goals are to support NIE's vision as a future-ready institution up to 2025 underpinned by cultivating and being the custodian of enduring values even in a…

In this chapter, we walk the reader through a set of scenarios that administrators might face when using different types of data on campus. We also provide guiding questions to help institutional research professionals explore how to think about these scenarios with ethics in mind.

Meta-analysis and structural equation modeling (SEM) are 2 of the most prominent statistical techniques employed in the behavioral, medical, and social sciences. They each have their own well-established research communities, terminologies, statistical models, software packages, and journals ("Research Synthesis Methods" and…

Most recent research on teacher evaluation examines evaluation's measurement properties and accountability uses. Less research studies how evaluation data can improve teaching and student learning. In other contexts, researchers have examined how teachers use data to improve their practice. From general research on teachers' data use, we apply the…

In order to demonstrate the value of higher education and evaluate the effectiveness of various policies and practices, researchers are increasingly expected to merge data from the Integrated Postsecondary Education Data System (IPEDS) with a range of other federal and private-sector data sources. In this article, I detail a number of the most…

Online platforms offer new opportunities to study human behavior. However, while social scientists are often interested in using behavioral trace data--data created by a user over the course of their everyday life--to draw inferences about users, many online platforms only allow data to be sampled based on user activities (leading to data sets…

In this ITEMS module, we provide a didactic overview of the specification, estimation, evaluation, and interpretation steps for diagnostic measurement/classification models (DCMs), which are a promising psychometric modeling approach. These models can provide detailed skill- or attribute-specific feedback to respondents along multiple latent…

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…