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The Use of Graphics to Communicate Findings of Longitudinal Data in Design-Based Research

Visuals and graphics have been used for communicating complex ideas since 1786 when William Playfair first invented the line graph and bar chart. Graphs and charts are useful for interpretation and making sense of data. For instance, John Snow’s scatter plot helped pinpoint the source of a cholera outbreak in London in 1854 and also changed understandings of how germs were spread. While popular in the field of information graphics, rarely are graphs beyond the bar chart found in educational research articles. When present, the graphs do not necessarily enhance the findings of the data. Nor do educational research methods textbooks promote or instruct how to create visual representations to aid with interpretation and communication of findings. This paper attempts to address this void by sharing our processes for creating meaningful visual graphs for communicating multi-dimensional statistical findings more effectively. A working hypothesis was that carefully crafted visual graphics would convey our longitudinal research findings more effectively to broader audiences than existing forms. Three visuals were constructed from survey data three-year longitudinal design based research study of teacher and student learning in a one-toone laptop school. The study focused on learning designs that changed and improved student learning experiences and outcomes by adopting inquiry approaches to teaching that incorporate meaningful uses of technology. In field tests, our audiences found the visuals were useful for interpreting the findings. More and more frequently, academics are required to communicate their findings to broader audiences. A well-designed and well-constructed graph(ic) can provide a means for effective communication of complex, multi-dimensional statistical data. Such effective communication is beneficial for both an academic audience as well as for broader audiences.