ABSTRACT
The primary purpose of this chapter is to provide examples of how to analyze and interpret data. Analysis means breaking something down into its parts, organizing the parts into relevant categories, and then interpreting or making sense of the parts, the categories, and the relationships among them to reach a deeper understanding of the problem under study. This process often involves reducing data down into smaller units of meaning, sometimes called unitizing the data, examining the parts, and then making holistic sense of the parts. The data analysis methods presented in this chapter include quantitative, qualitative, and mixed methods. Ways to address rigor in research and the demonstration of validity, reliability, trustworthiness, and triangulation are also presented. Chapter Four described several teacher research designs. Chapter Five presented various types of data sources. This chapter presents several common types of data analysis methods and when to apply each to make sense of collected data.
