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Researchers investigating phenomena within the complexity of the business world typically turn to multiple sources, types of data, and/or methods to achieve their purposes. This guide shows how doing so can be made more effective by using a mixed methods approach in which these varied data and/or methods are integrated so that they become interdependent in building an understanding of the issues being investigated. Integration is supported through encouraging iterative exchange between different methods throughout a project, both incidentally and deliberately as insights from one method are used to shape the design or analysis of another. Integration is also supported during analysis through the application of three foundational processes that are often used together to construct more complex designs and analytic strategies: combining data and analyses through weaving and merging data from different sources; comparing and contrasting data through juxtaposing them, or through "breaking apart" and comparing qualitative material for subgroups defined by variable data; and through converting coded text to variable data, with the combination of dual (hermeneutic and statistical) forms of analysis providing a fuller or alternative perspective. Finally, this guide also suggests that an integrative approach will be evident in the way results are recorded and discussed in an article or report where, rather than the methods used, the substantive topic will provide the focus for and guide the structure of the presentation.
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