The last 20 years has seen an uptick in research on missing data problems, and most software applications now implement one or more sophisticated missing data handling routines (e.g., multiple imputation or maximum likelihood estimation). Despite their superior statistical properties (e.g., less stringent assumptions, greater accuracy and power),…

Purpose: Novice researchers experience difficulties in analysing qualitative data. To develop the skills necessary for qualitative data analysis, theoretical manuals are often insufficient. Supervisors supporting students in analysing qualitative data stress the need for practical guidance, including exercises and feedback. The purpose of this…

This case study draws on my quantitative study of college entrance exam preparation (also known as "test prep") to illustrate how a researcher goes about setting up a quantitative project using existing datasets. I describe how I decided between two different datasets, a decision which required attention to how the research question was…

This case study provides an overview of a conversation analysis study that examines how the management of talk is accomplished by a chairperson in a teachers' meeting. The case describes each of the various steps of the conversation analysis study from deciding on an initial research focus to collecting, transcribing, and analyzing the data. It…

In this case, I share my process of analyzing data in a multiple case study. The study looked at the interconnections between contexts, leadership, and educational equity to better understand how superintendents lead systems that offer equitable educational experiences for all students. Data included 16 one-on-one interviews with four…

Despite substantial federal, state, and local investments in improving early care and education (ECE), we know little about whether ECE program quality has improved over time. The lack of data tracking the quality of publicly funded ECE programs at scale creates a substantial evidence gap for policymakers attempting to weigh the returns on, and…

The Program for International Student Assessment Young Adult Follow-up Study (PISA YAFS) is a follow-up study with students who participated in PISA 2012 in the United States. The study is designed to measure how performance on PISA 2012 relates to subsequent measures of outcomes and skills of young adults on an online assessment, Education and…

School climate has received considerable attention in the literature and educational policy as a potential target for school improvement and school safety efforts. This paper provides a critical review and synthesis of the literature on school climate, with a particular focus on topics related to measurement, data collection, analysis, as well as…

We study the effect of exposure to immigrants on the educational outcomes of US-born students, using a unique dataset combining population-level birth and school records from Florida. This research question is complicated by substantial school selection of US-born students, especially among White and comparatively affluent students, in response to…

Students' instructional needs are identified, and proper interventions and instructional placement are put in place to maximize student-learning potential, but there is a gap in literature regarding the impact of classroom factors on student achievement of English learner (EL) students in diverse elementary schools (Heritage, Walqui, &…

Community schools have a long history of helping students succeed in school by addressing the problems they face outside of school. But without specific data on students and the full range of their needs, community schools cannot be as effective as they would like to be. Driven by the desire to make more data-informed decisions, the Children's Aid…

Background: The Learning Disability Screening Questionnaire (LDSQ) has been shown to have high sensitivity and specificity to identify those who are likely to meet intellectual disability diagnostic criteria (McKenzie, et al. [McKenzie K., 2015]). However, there is no independent research to date to support these findings. Materials and Methods:…

Student success efficacy studies are aimed at assessing instructional practices and learning environments by evaluating the success of and characterizing student subgroups that may benefit from such modalities. We propose an ensemble learning approach to perform these analytics tasks with specific focus on estimating individualized treatment…

Analysing the behaviour of student performance in classroom education is an active area in educational research. Early prediction of student performance may be helpful for both teacher and the student. However, the influencing factors of the student performance need to be identified first to build up such early prediction model. The existing data…

This study explores kindergarten students' early notions of mathematical equivalence in the United States. In particular, it uses qualitative methods to examine the understandings children hold about the equal sign prior to formal instruction and how these understandings shift throughout an 8-week classroom teaching experiment designed to develop…