Data Analysis (to be updated)

The choice of data analysis methods must refer back to your research questions. 

Common approaches:

1. Statistical Analysis - for numeric evidence as support 
2. Interpretation of interview transcripts - using texts (e.g. interpretation of interview transcripts).
3. Mean - for continuous data (e.g. score in the competition). The initial tests are carried out to compare different groups of participants, to see where there is a significant differences (in terms of score) between them or not before the competition. 
4. Chi square test - to see whether specific samples drawn from a population can represent the whole population or not.
5. SPSS is just a software to speed up calculation.

Mixed Mode Research Design

 Before selecting mode of research design, a researcher ought to consider:
◆ Provide a rationale for the design
◆ Include collecting quantitative and qualitative data
◆ Consider priority
◆ Consider sequence
◆ Match the data analysis to a design
◆ Diagram the procedures

6 types of Mixed Mode Research Design by Cresswell (2011)

◆ the convergent parallel design

• Data collection run simultaneously  
• Offset the weakness of other data collection
• Quantitative (Quan) & Qualitative (Qual) data are almost equal score

 
◆ the explanatory sequential design

•  Quan is done first then Qual to explain/refine the Qual results

◆ the exploratory sequential design

• Qual is done first then Quan to explain/refine the Qual result
• Focusing on Qual studies

◆ the embedded design

• Quan & Quak are doing at the same time,
• Use secondary data to understand the reasons for the correlational results

◆ the transformative design

• Use either one of the above design
• Usually request for a change

◆ the multiphase design

• Use either one of the above design
• Used in projects addressing larger program objectives.