The Total School Cluster Grouping Model is a specific, research-based, total-school application of cluster grouping combined with differentiation, focused on meeting the needs of students identified as gifted while also improving teaching, learning, and achievement of all students.
This revised and updated second edition of Total School Cluster Grouping and Differentiation includes rationale and research followed by specific steps for developing site-specific applications that will make the important art of differentiation possible by reducing the range of achievement levels in teachers'...

The HOPE Teacher Rating Scale is designed to help guide teachers in identifying gifted students for programming. It is unique in several ways. First, it is short, with only 11 items that measure academic and social/affective components of giftedness, making it easy to use. Second, it is invariant when used to identify students from low-income and culturally diverse families. Third, it can be used across grade levels, K-12. Finally, local norms ensure that the data are relevant to the specific school populations. With multiple measures and multiple pathways crucial for reversing the inequities...

The HOPE Teacher Rating Scale is designed to help guide teachers in identifying gifted students for programming. It is unique in several ways. First, it is short, with only 11 items that measure academic and social/affective components of giftedness, making it easy to use. Second, it is invariant when used to identify students from low-income and culturally diverse families. Third, it can be used across grade levels, K-12. Finally, local norms ensure that the data are relevant to the specific school populations. With multiple measures and multiple pathways crucial for reversing the inequities...

The HOPE Teacher Rating Scale is designed to help guide teachers in identifying gifted students for programming. It is unique in several ways. First, it is short, with only 11 items that measure academic and social/affective components of giftedness, making it easy to use. Second, it is invariant when used to identify students from low-income and culturally diverse families. Third, it can be used across grade levels, K-12. Finally, local norms ensure that the data are relevant to the specific school populations. With multiple measures and multiple pathways crucial for reversing the inequities...