This article examines several methodological issues associated with combining qualitative and quantitative methods by comparing the increasing interest in this topic with the earlier renewal of interest in qualitative research during the 1980s. Background on the emergence of mixed method research approaches and suggestions for guiding paradigm shift toward 'pragmatic' approaches in social science research.

Examines the definition of the emerging mixed methods research field. Surveyed major authors in the mixed method literature with regard to definition for the field and key issues that need to be addressed as the field advances. Results show a consensus of mixed methods as an emerging ‘research paradigm’ and a breadth of opinion around definition for the field.

Discusses the concept of triangulation from various perspectives and the variety of approaches to implementing mixed methods research. Builds on Patton’s (1990) discussion of ‘mixed form’ design to a broader model in order to develop a taxonomy for distinguishing various mixed method designs and approaches.

Discusses procedural issues related to mixed-methods in a sequential (quant then qual) design. Addresses issues of priority, implementation, and mixing in the design and offers practical guidance.

Terrific survey of what’s happening in the mixed methods literature and mixed methods field. Discusses a range of topics raised at the 2008 Mixed Methods Conference and provides a “Map” of these topics broken out across 5 domains: philosophical/theoretical, techniques, nature of mixed methods, the adoption and use of mixed methods, and the politicization of mixed methods. Concludes with a discussion of incorporating mixed methods into other designs, paradigms, general design issues, and advocacy through extramural funding.

Provides a step-by-step guide to all the questions students ask when beginning their first research project. Silverman demonstrates how to learn the craft of qualitative research by applying knowledge about different methods to actual data. He provides practical advice on key issues such as defining ‘originality’ and narrowing down a topic, keeping a research diary and writing a research report, and presenting research to different audiences.

Research in developmental and educational psychology has come to rely less on conventional psychometric tests and more on records of behavior made by human observers in natural and quasi-natural settings. Discusses reliability and generalizability in terms of coefficients that reflect the "quality" of data, what defines quality data, and how reports of agreement are insufficient.

Introduces and illustrates a systematic approach to qualitative data management from a database architecture perspective. Discusses four main types of information collected in qualitative research: information about primary sources, information from primary sources, secondary information generated by coders, and information about the coders and how quantitative approaches can be used to evaluate qualitative analysis.

This report describes a field notes database management tool, EthnoNotes. EthnoNotes makes the process of writing, sharing, and analyzing field notes easier and more systematic. Text can be indexed, coded, and integrated with quantitative data or images, all accessed from the same database system. EthnoNotes can be used by individual researchers or be fully Internet-based, accessible online by teams collaborating in empirical studies. Field notes are easily entered on the Web, then are immediately accessible to other researchers for interpretation and analyses.

Introduces a range of graphical methods that can be used to present mixed methods research results. Presents a taxonomy for the presentation of results in general (quan or qual) and then strategy for integrating qual-quant results in same framework. Frist, we present a broad taxonomy of visual representation. Next, we use this taxonomy to provide and overview of visual techniques for quantitative data display and qualitative data display. Then, we propose what we call "crossover" visual extensions to summarize and integrate both qualitative and quantitative results within the same framework.