Creamer. An Introduction to Fully Integrated Mixed Methods Research. by Elizabeth G. Creamer

Author:Elizabeth G. Creamer
Language: eng
Format: epub
Published: 2017-03-21T13:32:00.589634+00:00

The figures and tables I have selected to include in this section use straightforward approaches to accomplish mixing during data analysis through data transformation in ways that have contributed to innovative insight. Each found a practical, meaningful way to link qualitative themes with a quantitative score or index on a related construct. They challenge the idea that the qualitative component of a study necessarily plays a subservient role in a mixed methods study involving large quantitative databases. Only one of the examples (Odom et al., 2006) features a graphic that is likely to require qualitative software such as NVIVO or AtlasTi to produce. As important as this software is to large qualitative projects, this approach is consistent with my intent throughout the book to introduce basic strategies for conducting mixed methods research. For this reason, I avoid discussion of the small number of articles that are out there that use very advanced quantitative techniques to incorporate both qualitative and quantitative data.

The overriding feature that is most noteworthy about the examples is that each was able to garner a sample of participants that is considerably larger than the 20–40 that Castro et al. (2010) and others (e.g., Small, 2011) have said is characteristic for most research with a qualitative component. With the exception of Young and Jaganath (2013), it is also worth noting that all of the projects are relatively ambitious in that they are either part of a long-term research project or, similar to Odom et al. (2006), conducted with the benefit of external funding. It is very likely that this has something to do with their ability to secure unusually large samples.

Design features, such as timing of the data collection, are not included in the table because they are varied. One author (i.e., Mazzola et al., 2011) used a concurrent design for data collection, while the others used either a sequential or multiphase design. Only the article by Young and Jaganath (2013) reported on results of a study that had a longitudinal design.

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