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A Local-State Government Spatial Data Sharing Partnership

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101<br />

Chapter 4 – Research Design and Methods<br />

In the second approach, the quantitative study can be conducted as a preliminary to the<br />

main study or at the end of the main study. It can provide background data to<br />

contextualise small intensive studies, test hypotheses derived through qualitative methods<br />

or provide a basis for sampling and comparison. The final approach provides equal<br />

weighting to each method. The two studies are considered as separate but linked, and can<br />

be performed simultaneously or consecutively. The processes may be linked at various<br />

stages in the research process and then integrated to formulate the final outcomes.<br />

The priority, implementation timing, stage of integration and theoretical perspectives can<br />

assist in classifying the mixed method approach (Creswell et al. 2003). The authors<br />

propose six design types through the application of these four criteria (see Table 4.1).<br />

Table 4.1 Mixed method design types (Creswell et al. 2003, p. 224)<br />

Design Type Implementation Priority Stage of<br />

Integration<br />

Sequential<br />

explanatory<br />

Sequential<br />

exploratory<br />

Sequential<br />

transformative<br />

Concurrent<br />

triangulation<br />

Concurrent<br />

nested<br />

Concurrent<br />

transformative<br />

Quantitative<br />

followed by<br />

qualitative<br />

Qualitative followed<br />

by quantitative<br />

Either quantitative<br />

followed by<br />

qualitative or<br />

reverse<br />

Concurrent<br />

collection of<br />

quantitative and<br />

qualitative data<br />

Concurrent<br />

collection of<br />

quantitative and<br />

qualitative data<br />

Concurrent<br />

collection of<br />

quantitative and<br />

qualitative data<br />

Usually<br />

quantitative; can be<br />

qualitative or equal<br />

Usually qualitative;<br />

can be quantitative<br />

or equal<br />

Quantitative,<br />

qualitative or equal<br />

Preferably equal;<br />

can be quantitative<br />

or qualitative<br />

Quantitative or<br />

qualitative<br />

Quantitative,<br />

qualitative or equal<br />

Theoretical<br />

Perspective<br />

Interpretation phase May be present<br />

Interpretation phase May be present<br />

Interpretation phase Definitely<br />

present<br />

Interpretation phase<br />

or analysis phase<br />

May be present<br />

Analysis phase May be present<br />

Usually analysis<br />

phase; can be<br />

during the<br />

interpretation phase<br />

Definitely<br />

present<br />

This research followed the fourth typology, whereby the qualitative and quantitative<br />

studies are considered approximately equal. The qualitative case studies of three<br />

partnership arrangements were examined and described initially. The insights from these<br />

partnership case studies provide an understanding of not only the issues, but also the<br />

context of their development with each jurisdiction. The initial understandings then<br />

provided the basis for the development of the survey instrument distributed to local<br />

government. The cases were then revisited and clarified in association with the<br />

quantitative analysis. In terms of the design classification types proposed by Creswell et<br />

al. (2003), the concurrent triangulation classification (highlighted) is perhaps the closest<br />

fit.

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