Module 10 Analysis Introductory Power Points Module Objectives

Module 10 - Analysis Introductory Power Points

Module Objectives 1. Identify different strategies for integrating or mixing QUAL and QUANT data during analysis. 2. Refine the ability to conceptualize the design of a mixed methods study by creating a figure to effectively and succinctly communicates the design of the MM study you are proposing. 3. Enumerate the “value added” by integrating during the analysis stage of the 4. Identify criteria for evaluating the quality of the analysis steps in a MM study. EDRE 5674: Intro to Mixed Methods 2

Terms • • • Interactive analysis (Greene) Integrated MM designs (Greene) Typology development (T & T, p. 275) Sequential mixed data analysis Multi-level mixed data analysis EDRE 5674: Intro to Mixed Methods 3

Reading Focus Questions • Start by reading: Greene, Chapter 8: Mixed Method Data Analysis – What does she mean by “intentional interaction among different data sets”? – What does she consider to be important criteria in evaluating the quality of analysis in a MM study? • Then, read T & T, Chapter 11 - focus is on p. 263 and after – What ideas do you get about the analytical procedures you could use in your study? • Mazzola et al. article (2011) – What analytical procedures do they use? – Do they mix their data during analysis? EDRE 5674: Intro to Mixed Methods 4

Assignment • The assignment for this module is to develop a visual figure for the design of your study. More details about the assignment and grading rubric are with the materials for the module in Scholar. An example of a figure is included in the Power Points for this module.

Supplemental Reading • See Creswell and Plano Clark’s (2011) Chapter 3: Choosing a Mixed Method Design for examples of flowcharts for the different MM designs