Knowledge and Skills Statement
Sources of error in data could include human errors such as failing to follow instructions accurately, not following procedures for an investigation, or misreading a measurement and experimental errors such as simplifying external environmental factors (friction), equipment calibration, contamination, or sufficient quantity or range of data.
Research
Baker-Lawrence, Anika Rae. 2013. "An Investigation into Instructional Support for Data Analysis in High School Science Inquiry" PhD diss. Portland State University. https://doi.org/10.15760/etd.1534
Summary: The results of this study indicate that students struggle to produce proficient analysis and interpretations of data. The areas of student struggle were in the areas that required higher order thinking: analyzing results, drawing conclusions, and communicating results. Furthermore, this research discusses areas of data analysis instruction that may benefit from professional development opportunities.