Visual Analysis of Graphic Data
By D. Gast, Amy D. Spriggs. 2009
365 citations recorded by the source corpus.
Subfields: Cognitive Neuroscience, Developmental and Educational Psychology, Information Systems
View Paper: https://www.semanticscholar.org/paper/8f3f3d23a782cf96baec4038242bd4aa7188b0e8
How researchers see this paper
The researchers whose trusted networks rank it highest, strongest advocate first. Every researcher gets a different order.
In Cognitive Neuroscience
- Katherine E. Severini
- Jennifer R. Ledford
- Carly B. Gilson
- Emily C. Bouck
- Justin D. Lane
- Jiyoon Park
- Rajiv Satsangi
- E. E. Biggs
In Developmental and Educational Psychology
- Katherine E. Severini
- Jennifer R. Ledford
- Carly B. Gilson
- Emily C. Bouck
- Justin D. Lane
- Jiyoon Park
- Rajiv Satsangi
- E. E. Biggs
In Information Systems
- Carly B. Gilson
- Emily C. Bouck
- Justin D. Lane
- Katherine E. Severini
- Jiyoon Park
- Rajiv Satsangi
- E. E. Biggs
- E. Carter
Citations in the corpus
- Systematic Review of Instructional Methods to Teach Employment Skills to Secondary Students With Intellectual and Developmental Disabilities (2017, methodology): “All studies provided data needed for visual analysis (Gast & Spriggs, 2010) or analysis of group effect size.”
- The Concrete–Representational–Abstract Approach for Students With Learning Disabilities: An Evidence-Based Practice Synthesis (2018, methodology): “They found the middle, midrate, and middate during intervention for each graph, and drew a line between the midrate and middate to determine acceleration, deceleration, or zero-celeration (Gast & Spriggs, 2014; White & Haring, 1980).”
- Visual analysis in single case experimental design studies: Brief review and guidelines (2014, neutral): “Using PND as the only metric would incorrectly identify a change in a therapeutic direction when in reality improvement across conditions was not influenced by the introduction of an intervention (Gast & Spriggs, 2010).”
- Using Virtual Manipulative Instruction to Teach the Concepts of Area and Perimeter to Secondary Students With Learning Disabilities (2015, methodology): “Trends evident in student data within and between conditions were identified using the split-middle method technique (Gast & Spriggs, 2010), which is calculated by dividing data for each phase in halves, determining the intersections of the mid-rate and mid-date for each half, drawing the…”
- Systematic Use of Visual Analysis for Assessing Outcomes in Single Case Design Studies (2017, methodology): “When trends are present, the stability envelope can be superimposed along the trend line obtained using the split-middle method discussed earlier, rather than the median (Gast & Spriggs, 2014; Lane & Gast, 2014).”