With the 5th Edition of Data Analysis for Continuous School Improvement, best-selling Victoria Bernhardt has written the go-to-resource for data analysis in your school! By incorporating collaborative structures to implement, monitor, and evaluate the vision and continuous improvement plan, this book provides a framework to show learning…

Exploratory data analysis (EDA) is an iterative, open-ended data analysis procedure that allows practitioners to examine data without pre-conceived notions to advise improvement processes and make informed decisions. Education is a data-rich field that is primed for a transition into a deeper, more purposeful use of data. This article introduces…

In this article, we argue that the contributions of documentation studies can provide a useful framework for analyzing the datafication of students due to emerging learning analytics (LA) practices. Specifically, the concepts of individuals being 'made into' data and how that data is 'considered as' can help to frame vital questions concerning the…

The term data scientist has only been in common use since 2008, but in 2016 it is considered one of the top careers in the United States. The purpose of this paper is to explore the growth of data science content areas such as analytics, business intelligence, and big data in AACSB Information Systems (IS) programs between 2011 and 2016. A…

In April 2010, President Obama issued a directive to the Secretary of Health and Human Services (HHS) regarding patient visitation, advance directives, and other initiatives to improve the lives of lesbian, gay, bisexual, and transgender people and their families. The HHS response to this directive has implications for hospital social workers. The…

Statistics and probability have become an integral part of mathematics education. Therefore it is important to understand whether curricular materials adequately represent statistical ideas. The "Guidelines for Assessment and Instruction in Statistics Education" (GAISE) report (Franklin, Kader, Mewborn, Moreno, Peck, Perry, & Scheaffer, 2007),…

The two cross-national indices with gender-differentiated data introduced by the UNDP in 1995, as well as several other such indices developed subsequently, are an important resource for researchers and policy makers interested in gender disparities. Yet questions remain regarding how these indices should be interpreted and how valid they are.…

Conducting qualitative research can be seen as a developing communication act through which researchers engage in a variety of conversations. Articulating the results of qualitative data analysis results can be an especially challenging part of this scholarly discussion for qualitative researchers. To help guide investigators through this…

When respondents fail to use response scales of survey questionnaires as intended, latent variable modeling of data can produce disordered category thresholds. The objective of this paper is to show the usefulness of the Rasch modeling features to explore different ways of collapsing categories so that they are properly ordered and fit for further…

The Elementary and Secondary Education Act (ESEA), as amended by the No Child Left Behind Act of 2001 inaugurated important changes in assessment and accountability for English Learner (EL) students. Specifically, Title III of the law required states to develop or adopt English-language proficiency (ELP) standards aligned with language demands of…

The purpose of this article is to develop guidelines to assist practitioners and researchers in evaluating and developing rigorous case studies. The main concern in evaluating a case study is to accurately assess its quality and ultimately to offer clients social work interventions informed by the best available evidence. To assess the quality of…

Purpose: The Hong Kong government recently reformed pre-primary education with the introduction of a voucher scheme. At the time this policy caused considerable opposition from across Hong Kong Society. This paper seeks to use Fairclough's model of critical discourse analysis to explore a key policy text and seeks to assess to what extent such an…

This study analyzed the reporting of multilevel modeling applications of a sample of 99 articles from 13 peer-reviewed journals in education and the social sciences. A checklist, derived from the methodological literature on multilevel modeling and focusing on the issues of model development and specification, data considerations, estimation, and…

With the increase in available educational data, it is expected that Learning Analytics will become a powerful means to inform and support learners, teachers and their institutions in better understanding and predicting personal learning needs and performance. However, the processes and requirements behind the beneficial application of Learning…

Purpose: The purpose of this paper is to discuss a case study which examines and analyses a information communication technology training programme conducted using an e-learning platform at the Dartmoor National Park Authority, UK. Design/methodology/approach: The research adopted a mixed method approach which involved the use of questionnaires…