This article discusses the importance of mixed-methods research, in particular the value of qualitatively driven mixed-methods research for quantitatively driven domains like educational accountability. The article demonstrates the merits of qualitative thinking by describing a mixed-methods study that focuses on a middle school's system of…

Data literacy is recognized as a critically important skill in today's society, but thinking with and about data is often ignored in K-12 curricula. The Thinking With Data (TWD) project advocates that data literacy is a skill that should be addressed in an interdisciplinary manner. This article provides an overview of the TWD curriculum for middle…

Addresses issues of students' understandings of representative values of data--how representative values should be introduced, and what role student understanding of representative values plays in their ability to analyze sets of data. Highlights the importance of teacher support of student development of conceptual understandings of multiple…

Presents different real-world mathematics activities on data display and data analysis with pie charts from different time periods. (ASK)

Data analysis has become a topic of increasing emphasis within middle school mathematics in the last few years, especially in the recent recommendations by the National Council of Teachers of Mathematics (NCTM 2000). In order to better inform efforts to expand data analysis's role in middle school curricula, we have begun the development of a…

Through a layered analysis that reinterprets previous research experience with middle-schoolers, considers how being positioned researchers changes the interpretations or texts inscribed on their research interactions. Researchers create texts that unintentionally conceal the direction and nature of their "invasiveness." Conundrums abound in…

Reports on a study designed to develop and validate a framework for characterizing middle school students' thinking across four processes: describing data, organizing and reducing data, representing data, and analyzing and interpreting data. Results indicate that students progress through four levels of thinking within each statistical process.…

Considers individual students' progress as they use tools, discuss data distributions, and interact with teachers and their peers. Suggests that data display tools provide a partial context for discussions but do not constrain the students' interpretations or the way they reason about the data. (Author/MM)

Explains the design and implementation of a student research project called Project SunSHINE. Explores the relationships between ultraviolet light and humidity, temperature, cloud type, and cloud cover. (SOE)

Presents a series of activities using data collection and interpretation techniques designed for levels 1-8, 1-5, 3-6, and 4-8 that integrate mathematics and social studies through the common theme of television viewing. Includes an activity sheet for parents to use with their children, three class-activity sheets, and a data sheet. (MDH)