The premier Tier 3 intervention for the Pyramid Model, Prevent-Teach-Reinforce for Young Children (PTR-YC) is a research-proven, family-centered approach used in preschool settings nationwide to resolve persistent challenging behaviors. Now this bestselling PTR-YC guidebook is in a thoughtfully revised second edition, with enhancements and…

Since the time race has been an applied concept in the United States there have been those who identify with two or more racial categories. However, the 2000 Census was the first time individuals could 'officially' identify belonging to more than one racial category. Governmentally regulated racial naming of individuals has long been a contested…

This case study examines the complexities of rapid-response data collection via the Play Observatory project's online qualitative survey of children, families, and child-oriented organizations. This research took place during a global pandemic and combined data collection with cataloguing and preserving materials for future research. Placing…

This case study describes a Q methodology study which captured and analyzed the viewpoints of 45 UK teachers online. The teachers might liken their participation in the study to a "card sort" activity: their relative placement of statement cards revealed their opinions of mastery in mathematics. Factor analysis of the completed sorts…

This paper proposes a systematic framework to integrate learning analytics into serious games for people with intellectual disabilities. Serious games for an inclusive learning environment need to be prudently designed with adaptive and measurable competencies to meet the needs of the target users. The recent emergence of learning analytics…

Collecting treatment integrity data is critical for (a) strengthening internal validity within a research study, (b) determining the impact of an intervention on student outcomes, and (c) assessing the need for implementation supports. Although researchers have noted the increased inclusion of treatment integrity data in published articles, there…

This research shares the challenges of bringing in real-world big business data into the classroom so students can experience how today's business decisions can improve with the strategic use of data analytics. Finding a true big data set that provides real world business transactions and operational data has been a challenge for academics…

Growing interest in Big Data is leading industries, academics and governments to accelerate Big Data research. However, how teachers should teach Big Data has not been fully examined. This article suggests criteria for redesigning Big Data syllabi in public and private degree-awarding higher education establishments. The author conducted a survey…

In this era of "Big Data," institutions of higher education are challenged to make the most of the information they have to improve student learning outcomes, close equity gaps, keep costs down, and address the economic needs of the communities they serve at the local, regional, and national levels. This book helps readers understand and…

Background: Advocates have endorsed transgender visibility via gender identity (GI) data capture with the advent of the Affordable Care Act and electronic health record (EHR) requirements. Visibility in data in order to enumerate a population contrasts with ways in which other LGBT and public health scholars have deployed these concepts. Aims: The…

Objective: After the discontinuation of School Health Policies and Practices Study (SHPPS) in 2016, the US Centers for Disease Control and Prevention (CDC) began exploring innovative ways to gather school health information using existing surveillance systems. School Health Profiles (Profiles) is a school-based system of surveys that monitors…

This paper reports on the challenges faced by two researchers during data collection and translation of data and analysis in two public sector universities in Pakistan. Data collection from each institute involved different procedures and a different set of issues, including negotiating access with gatekeepers and participants, dealing with…

Background: While qualitative research on intellectual disability is on the rise, researchers have frequently reported that their methods bring methodological and ethical challenges. The authors advance shadowing as an alternative method to respond to these concerns. Method: The authors draw on their experiences with shadowing on the basis of two…

This article uses an anonymous 2014-15 school year dataset from the Directorate-General for Statistics of Education and Science (DGEEC) of the Portuguese Ministry of Education as a means to carry out a predictive power comparison between the classic multilinear regression model and a chosen set of machine learning algorithms. A multilinear…

Spelling analyses can be used to investigate sources of linguistic knowledge underlying children's literacy development and may be useful in predicting later achievement. This study explored the utility of six analysis metrics in predicting the spelling achievement of school-aged children with literacy learning difficulties via post-hoc analyses…