Purpose: This article provides a tutorial introduction to ordinal pattern analysis, a statistical analysis method designed to quantify the extent to which hypotheses of relative change across experimental conditions match observed data at the level of individuals. This method may be a useful addition to familiar parametric statistical methods…

How household-level data from censuses and surveys are analyzed to study household structure is an issue that has received little attention. The present study proposes a new methodological approach to address this gap. Specifically, we introduce the idea of the household configuration as a mathematical representation of observations from the…

The purpose of this study is to investigate what semiotic analysis can reveal about how welcoming and inclusive a science library space is for patrons. A space was examined in terms of its messaging to patrons of various genders, abilities, races, ethnicities, nationalities, and disciplines. Findings are presented about the space's messaging…

What do we do with emotion in biographical research: is it an end in itself, a symptom to be explained, a thread to be pulled? This paper presents an experiment in methodology within a field of biographical methods that involved revisiting a single qualitative interview after the elapse of thirty years. The interview with 22 year old Stacey was…

As data have become more prevalent in academia, industry, and daily life, it is imperative that undergraduate students are equipped with the skills needed to analyze data in the modern environment. In recent years there has been a lot of work innovating introductory statistics courses and developing introductory data science courses; however,…

The heterogeneous data acquired by educational institutes about students' careers (e.g., performance scores, course preferences, attendance record, demographics, etc.) has been a source of investigation for Educational Data Mining (EDM) researchers for over two decades. EDM researchers have primarily focused on course-specific data analyses of…

This article discusses the key elements of the Data Science Technology course offered to postgraduate students enrolled in the Master of Data Science program. This course complements the existing curriculum by providing the skills to handle the Big Data platform and tools, in addition to data science activities. We tackle the discussion about this…

Responsible citizenship and sound decision-making in today's information age necessitate an appreciation of the role of uncertainty in the process of generating data-based scientific knowledge. The latter calls for coordinating between different types of uncertainties, related to three types of relevant reasoning: statistical, scientific, and…

This study aims to conduct a comparative study of Bagging and Boosting algorithms among ensemble methods and to compare the classification performance of TreeNet and Random Forest methods using these algorithms on the data extracted from ABIDE application in education. The main factor in choosing them for analyses is that they are Ensemble methods…

This research aims to design a helpful methodology for estimating universities' relative impact on students as a sustainability factor in higher education. To this end, the research methodology implemented a two-stage approach. The first stage involves the relative efficiency analysis of the study units using Fuzzy Data Envelopment Analysis. The…

Education has been considered a cornerstone for human and economic development. Although there is a national educational strategy in most countries, various implementations are at the state level. This paper studies academic efficiency at the primary and secondary levels and the human development dimensions -- long and healthy life, being…

Practical work involving laboratory experiments is agreed upon to be an essential component of secondary science education. Practical work encompasses a broad range of activity types. The different forms of practical work are not equal in terms of cognitive demand and learning benefit. Inquiry-based investigations provide experience of cognitive…

This study explored the experiences of school counselors utilizing peer-group supervision to assist in analyzing data to determine the effectiveness of interventions. The literature gap indicates that further research was needed regarding the relationship between appropriate supervision and its impact on school counselors' ability to analyze data.…

The purpose of this review is to examine the current literature on incremental rehearsal (IR) to investigate whether IR is be considered an evidence-based practice, based on the quality indicators set forth by the Council for Exceptional Children (Cook et al., 2014). Burns et al. (2012) completed a meta-analysis to investigate the effectiveness…

Quality, timely, purpose-driven education in emergencies (EiE) data can enable more effective response to education needs in crisis settings and strengthen system resilience. However, a growing body of evidence points to a number of problems related to the production, sharing, and use of EiE data within education information management systems…