The Naglieri Nonverbal Ability Test (NNAT) was developed to more equitably identify students of color, as it advertises itself as a culture-fair measure. In this meta-analytic evaluation, we aimed to investigate (a) the generalizability of validity evidence of NNAT by checking its construct and criterion validity with other measures (Part I) and (b) whether NNAT truly meets its goal to identify more culturally diverse students (Part II). After reviewing 1,714 studies, a total of 29 studies met our criteria (59 effect sizes from 22 studies for Part I and 7 effect sizes from 7 studies for Part II). In Part I, we investigated empirical evidence of validity of NNAT in relationship with different types of measures (overall effect size of r was .44); The results revealed that the correlation between NNAT and the achievement test results was 0.68, followed by the intelligence measures similar to NNAT (e.g., Cognitive Abilities Test, Otis–Lennon School Ability Tests; r = .31) and other alternative measures often used to identify gifted students (e.g., teacher-rating scale; r = .20). The moderator analysis results showed high correlations between NNAT and other measures when Naglieri is an author of the study. In Part II, although NNAT identified more students of color compared with other nonverbal tests (overall effect size of risk ratio was 0.42), findings revealed that students of color remain underrepresented in gifted programs and services.

The pipeline of highly trained STEM (science, technology, engineering, and mathematics) professionals has narrowed in recent decades, forcing society to re-examine how schools are discovering and developing STEM talent. Of particular concern is the finding that rural students attend post-secondary schools at lower rates than their urban counterparts, and when they do attend, they are less likely to graduate from STEM programs. One reason may be that they are not prepared for advanced STEM coursework because they lack access to essential STEM talent-development programs in middle or high school. This creates excellence gaps, which exacerbate the narrowing STEM pipeline to the workforce. To address this, we formed a university-school partnership to develop an outside-of-school STEM talent development program, called STEM Excellence, for rural middle-school students who attend under-resourced schools.The aim of STEM Excellence was to increase students' achievement and aspirations while empowering their teachers to develop local STEM programs grounded in developmental psychology theories. STEM Excellence integrated the Talent Development Megamodel Principles of ability, domains of talent, opportunity, and psychosocial variables. STEM Excellence also recognized the interplay of multiple person-environment systems as presented in the Bioecological Systems Model.

This research, which is carried out in Kinik, İzmir, aims at determining the reasons of students’ attitude towards Maths. Sixth class students from Kinik town make up population of the research which has been carried out as the model of survey. The sample of the research has been determined by the method of “purposeful sampling”. It is constituted of 152 students at the sixth grade. Collected data has been transferred into SPSS and the statistical process such as, analysis of average, standard deviation, T-test and one way analysis of variance procedures have been realized. It has been identified that the students who gets higher grades at Maths have got better attitude towards Maths than the ones who got lower grades at Maths. It has been identified that there has been no relationship between the students’ attitude towards Maths and their families’ income, their parents’ educational status, their parents’ occupation and the teachers’ way of teaching.

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