Multivariate analysis of variance (MANOVA) is a statistical method used to examine group differences on multiple outcomes. This article reports results of a review of MANOVA in gifted education journals between 2011 and 2017 (N = 56). Findings suggest a number of conceptual and procedural misunderstandings about the nature of MANOVA and its…

High school students in accelerated classes face heightened school-related stressors but have access to few specialized supports. This article describes the development and initial application of the Motivation, Assessment, and Planning (MAP) intervention, developed to meet the needs of freshmen in Advanced Placement (AP) and International…

It is important to identify cognitive and achievement characteristics that differentiate students who are twice exceptional because they are gifted and have a learning disability (2e-LD) from gifted and average ability peers because this information informs empirically-based identification and support systems for this population. In this study, I…

Multivariate analysis of variance (MANOVA) is a statistical procedure commonly used in fields such as education and psychology. However, MANOVA's popularity may actually be for the wrong reasons. The large majority of published research using MANOVA focus on univariate research questions rather than on the multivariate questions that MANOVA is…

Much has been written about the relationship of giftedness and attention-deficit/hyperactivity disorder (ADHD), as well as the relationship between ADHD and underachievement. The present study examined whether students who were identified as gifted underachievers were more likely to manifest symptoms of ADHD, as measured by the ADHD-IV. Over half…

Successful transition from school to university is essential for the academic success of any student. Gifted students might encounter unique challenges due to their characteristics, and there is an evidence that a failure to adjust to the demands of university environment has a negative effect on gifted students' academic performance, leading to…

Underachievement of gifted students has been a great concern for the field of gifted education. The current study reviewed 14 recent empirical studies concerning the effectiveness of underachievement interventions on gifted students' achievement outcomes and psychosocial outcomes. Overall, there was no evidence that underachievement interventions…

In this multiple-narrative inquiry, we examined the narratives of four underachieving gifted girls to identify aspects that appear to have contributed to the onset, development, and resolution of academic underachievement. We found that academic achievement was disrupted when the participants experienced a sudden increase in curricular demands…

Students' academic underachievement, defined as discrepancies between ability and academic performance, is a widespread problem leading to many negative consequences. Our study examines high school students' math underachievement, its motivational antecedents, and its impact on future math achievement, college attendance, and STEM (science,…

The development of leadership talent in a gifted individual was the focus of this 15-year longitudinal case study. Four major themes explained the development of his leadership talent. Crucial family factors and support served as a foundation for his psychosocial development and contributed significantly to his talents as a leader. Emotional…

The intent of this case study is to understand profoundly gifted students' perceptions of virtual programs. The participants for this study were five profoundly gifted students who were enrolled in a fully virtual writing course hosted by a school that serves the profoundly gifted population. The researcher gathered data via asynchronous focus…

This mixed methods study investigated the occupational/career decision-making processes of intellectually gifted adolescents from economically disadvantaged backgrounds. In the first phase, interview data from 26 Australian adolescents, who were simultaneously intellectually gifted and of low socioeconomic status background, were analyzed using…

Lewis Terman is widely seen as the "father of gifted education," yet his work is controversial. Terman's "mixed legacy" includes the pioneering work in the creation of intelligence tests, the first large-scale longitudinal study, and the earliest discussions of gifted identification, curriculum, ability grouping, acceleration,…

Machine learning algorithms are used in language processing, automated driving, and for prediction. Though the theory of machine learning has existed since the 1950s, it was not until the advent of advanced computing that their potential has begun to be realized. Gifted education is a field where machine learning has yet to be utilized, even…

Underrepresentation in gifted education for ethnically diverse student groups has been widely recognized. Two recent federal district court decisions defined the lower limits of equitable participation using the 20% equity allowance formula proposed by Donna Ford. The purpose of this article was to evaluate the application of the 20% rule to…