Social network analysis can draw upon surveys and discussions to generate quantitative and qualitative data. We describe network data generated via a social network survey and discussion activity with high school science teachers in a teacher leadership development program. Data include social network maps related to seeking expertise in teaching content and/or pedagogy, disaggregated by contacts at the school, district, state, nation, and international spheres of influence. Data also include transcripts of the activity and teacher discussions of networks in their own educational settings. This data article is related to the research article, “The use of visual network scales in teacher leader development” Polizzi et al., 2019, where data interpretation can be found.

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A sample of 50 gifted elementary students were administered two receptive language tests (the Peabody Picture Vocabulary Test and its revised version) and two visual-motor tests (the Bender Visual-motor Gestalt Test and the Developmental Test of Visual-motor Integration). These scores were then evaluated against an achievement test battery. The receptive language and visual-motor measures did not account for a significant amount of the achievement test's variance, although some significant correlations were obtained. These results and their implications for identifying gifted elementary students are discussed.