Using Data Analysis For Mixed Methods

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There are many general guidelines that can help researchers in mixed methods designs to conduct an effective data analysis. Data analysis strategy depends on the type of mixed methods design. Creswell (2007) suggested number of essential considerations should be in account when conducting mixed methods data analysis: 1. The analysis strategy should be used in order to answer the research question(s) being asked. The questions are different according to the research design as discussed earlier in this paper. 2. Data analysis approach will relate to either concurrent data analysis (Triangulation and embedded designs) or sequential data analysis (Explanatory, exploratory, and embedded designs). As discussed before, data may be merged or embedded in concurrent approach and connected or embedded in sequential approach. 3. In the concurrent approach, the analyses of quantitative and qualitative date are done separately, while in sequential approach the analysis of the first step of the study is used to inform the second step. For example, in sequential approach, if the first phase is qualitative design, then data analysis and the findings will guide data collection in the second phase (e.g., quantitative phase). 4. Due to lack of available software for concurrent or sequential approaches, matrix or discussion can be useful for comparing the results from qualitative and quantitative data in concurrent approach. 5. There is some software available to export qualitative data into
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