Collecting multiple perspectives data (e.g. from related individuals) in a qualitative longitudinal design can provide rich understanding of the dynamics at play in complex relational systems, and the different perceptions of people involved. However, such approaches are inherently challenging due to the complexity and volume of data involved. So…

Simulation studies are extremely common in the item response theory (IRT) research literature. This article presents a didactic discussion of "truth" and "error" in IRT-based simulation studies. We ultimately recommend that future research focus less on the simple recovery of parameters from a convenient generating IRT model,…

Latent change score models (LCSMs) proposed by McArdle (McArdle, 2000, 2009; McArdle & Nesselroade, 1994) offer a powerful tool for longitudinal data analysis. They are becoming increasingly popular in social and behavioral research (e.g., Gerstorf et al., 2007; Ghisletta & Lindenberger, 2005; King et al., 2006; Raz et al., 2008). Although…

Engagement is a multifaceted concept that has attracted recent attention by researchers both in Australia and internationally (Attard, 2012; Chan, Baker, Slee, & Williamson, 2015). For many years mathematics education has been seen as boring and dull, and students have disengaged from a relatively early age in learning and participating in…

Single-case designs are a class of repeated measures experiments used to evaluate the effects of interventions for small or specialized populations, such as individuals with low-incidence disabilities. There has been growing interest in systematic reviews and syntheses of evidence from single-case designs, but there remains a need to further…

The quantitative assessment of eye tracking data quality is critical for ensuring accuracy and precision of gaze position measurements. However, researchers often report the eye tracker's optimal manufacturer's specifications rather than empirical data about the accuracy and precision of the eye tracking data being presented. Indeed, a recent…

Purpose: From the standpoint of a novice researcher, the author has examined how blogging as a literacy practice enables one to explore and understand self in relation to analysing data and making meaning. The purpose of this paper is to discuss how blogging can be used as a reflective and critical tool and explore the notion of blogging as…

This issue brief is one in a series examining timely topics that are relevant to Black families and children in the United States. The series identifies key information and opportunities for consideration by policymakers, researchers, practitioners, philanthropists, and others interested in supporting the progress of Black families and…

This is the 22nd report by the National Center on Educational Outcomes (NCEO) that describes how states publicly report assessment data for students with disabilities in K-12 schools in the United States. The purpose of this report is to examine the extent to which states reported 2018-19 assessment data for students with disabilities "to the…

Educational Data Mining (EDM) is an important tool in the field of classification of educational data that helps researchers and education planners analyse and model available educational data for specific needs such as developing educational strategies. Trends International Mathematics and Science Study (TIMSS) which is a notable study in…

Yarning scholarship is emerging in the Australian context. There are a growing number of Indigenous scholars who advocate for using yarning in research and this paper aims to contribute to this methodological discussion. In this paper, I outline the development of a methodology, which I have named Collaborative Yarning Methodology (CYM). CYM…

This paper discusses a game that can be used for introducing the binary representation of integers in an interactive and fun environment. The game is introduced in the way it is presented in an undergraduate Discrete Mathematics class. Variations of the game are discussed, particularly its extension to base-three representation of integers. It is…

Purpose: The analysis of data collected from user interactions with educational and information technology has attracted much attention as a promising approach to advancing our understanding of the learning process. This promise motivated the emergence of the field of learning analytics and supported the education sector in moving toward…

Through a series of explorations, this article will demonstrate how the Kentucky Derby winning times dataset provides various opportunities for introductory and advanced topics, from data processing to model building. Although the final goal may be a prediction interval, the dataset is rich enough for it to appear in several places in an…

Multiple imputation is a popular method for addressing data that are presumed to be missing at random. To obtain accurate results, one's imputation model must be congenial to (appropriate for) one's intended analysis model. This article reviews and demonstrates two recent software packages, Blimp and jomo, to multiply impute data in a manner…