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Ergül, N. Remziye – Universal Journal of Educational Research, 2018
Data and graphic analysis and interpretation are important parts of science process skills and science curriculum. So it refers to visual display of data using relevant graphical representations. One of the tools used in science courses is graphics for explain the relationship among each of the concepts and therefore it is important to know data…
Descriptors: Preservice Teachers, Science Teachers, Student Attitudes, Data Interpretation
Nixon, Ryan S.; Godfrey, T. J.; Mayhew, Nicholas T.; Wiegert, Craig C. – Physical Review Physics Education Research, 2016
Lab activities are an important element of an undergraduate physics course. In these lab activities, students construct and interpret graphs in order to connect the procedures of the lab with an understanding of the related physics concepts. This study investigated undergraduate students' construction and interpretation of graphs with best-fit…
Descriptors: Undergraduate Students, Graphs, Physics, Laboratory Procedures
Tsuji, Bruce H.; Lindgaard, Gitte – International Association for Development of the Information Society, 2014
This research compared undergraduate Novices and PhD Experts in psychology and business in their exploration of psychology and business domain graphs. An overall expertise effect in graph explanation was found. Results indicated that Novices paused longer than Experts before beginning their explanations. Qualitative analyses showed that Experts…
Descriptors: Graphs, Data Interpretation, Comparative Analysis, Novices

Preece, Jenny; Janvier, Claude – School Science and Mathematics, 1992
Reports a study to examine the role of context on the ability to interpret graphs. Graph tests involving 2 ecological contexts were presented to 14- and 15-year-old students (n=23) in the form of an interview. Results indicated how students used their contextual knowledge in interpreting the graphs. (MDH)
Descriptors: Cognitive Processes, Cognitive Style, Context Effect, Data Interpretation
Aoyama, Kazuhiro; Stephens, Max – Mathematics Education Research Journal, 2003
Many educators and researchers are trying to define statistical literacy for the 21st century. Kimura, a Japanese science educator, has suggested that a key task of statistical literacy is the ability to extract qualitative information from quantitative information, and/or to create new information from qualitative and quantitative information.…
Descriptors: Foreign Countries, Questionnaires, Program Validation, Item Analysis