Randomized experiments involving education interventions are typically implemented as cluster randomized trials, with schools serving as clusters. To design such a study, it is critical to understand the degree to which learning outcomes vary between versus within clusters (schools), specifically the intraclass correlation coefficient. It is also…

Increasingly surveys are using interviewers to collect objective health measures, also known as biomeasures, to replace or supplement traditional self-reported health measures. However, the extent to which interviewers affect the (im)precision of biomeasurements is largely unknown. This article investigates interviewer effects on several…

Collecting biological data in representative surveys is becoming more common due to their potential to inform research and policy. Nevertheless, using nurses to collect these data can lead to unintended effects. In this paper, we investigate how nurses influence the non-response process by looking at five waves of data coming from two surveys in…

The research is clear: Including students with disabilities in general education classrooms is the most effective way for all students to learn. If you are working toward greater inclusivity in your school or system, this book from educators and inclusion experts Julie Causton, Kate MacLeod, Kristie Pretti-Frontczak, Jenna Mancini Rufo, and Paul…

Collecting data on lesbian, gay, bisexual, transgender, queer-plus (LGBTQ+) issues and the experiences of LGBTQ+ young people is essential both for enforcing civil rights protections and advancing racial, gender, and disability justice outcomes in K-12 education systems across the country. The absence of this data: (1) Is a barrier to full…

Large-scale assessment survey (LSAS) data are collected via complex sampling designs with special features (e.g., clustering and unequal probability of selection). Multilevel models have been utilized to account for clustering effects whereas the probability weighting approach (PWA) has been used to deal with design informativeness derived from…

Unit nonresponse in panel data sets is often a source of bias. Why certain individuals attrite from longitudinal studies and how to minimize this phenomenon have been examined by researchers. However, this research has typically focused on data sets collected via telephone, postal mail, or face-to-face interviews. Moreover, this research usually…

There is growing interest in using measures of teacher applicant quality to improve hiring decisions, but the statistical properties of such measures are poorly understood. We present evidence on structured ratings solicited from teacher applicants' references. We find that the reference ratings capture only one underlying dimension of applicant…

To ensure validity in survey research, it is imperative that we properly educate doctoral students on best practices in data quality procedures. A 14-year analysis of 679 studies in the AIS "Basket of 8" journals noted undercommunication in the most pertinent procedures, consistent across journals and time. Given recent calls for…

This article describes a nexus analysis of the lengthy, complex process of negotiating access to schools for a research project surveying 1,002 children (aged 9-12 years) about their digital and language practices. The analysis distinguished layers of adult-centered gatekeeping, each of which needed to be tackled in sequence. Bottlenecks…

There are many valuable sources of evaluation data, including -- but not limited to -- professional learning participants. In the authors' work on leadership development and organizational learning for Tulsa Public Schools in Oklahoma, they regularly ask educators to share feedback and perceptions of usefulness of their professional learning. The…

This special issue's editors invited discussion of three broad questions. Slightly rephrased, they are: How well do self-report data represent theoretical constructs? How should analyses of data be conditioned by properties of self report data? In what ways do interpretations of self-report data shape interpretations of a study's findings? To…

We present a model for sharing quantitative data in the field of physics education research and use it to present a newly available dataset as an example. This model is in line with calls from across physics and science more generally to democratize data and results through open access. The model includes suggestions for data collection, creation…

This manuscript provides information on datasets pertaining to Project KIDS. Datasets include behavioral and achievement data for over 4,000 students between five and twelve years old participating in nine randomized control trials of reading instruction and intervention between 2005-2011, and information on home environments of a subset of 442…

In the complex and dynamic environment of schools, the greatest asset is the collective wisdom of educators. The insights, experiences, and perspectives of teachers and staff are the most valuable data for driving meaningful improvement and fostering a positive environment where both students and adults can thrive. To lead effectively, one must…