![]() She has presented workshops for faculty and graduate students on topics related to mixed research, writing research literature reviews, and publishing research articles. Collins, PhD is a professor in the Department of Curriculum and Instruction at the University of Arkansas. Extensive introductory workshop materials will be provided. Prior experience with MMR is not a prerequisite. ![]() Frameworks and heuristics for selecting/constructing a mixed sampling design, developing an MMR research design that fits the research questions, and applying quality criteria throughout the study will be emphasized. We will discuss the major types of MMR, definitions of MMR, purposes, objectives, and rationales for conducting an MMR study, analyzing the data, and writing MMR research questions and reports. The purpose of this interactive workshop is to introduce researchers to mixed methods research (MMR). In this context, a researcher needs to be able to make a principled choice of software: one that matches the capabilities of the software to the specific needs of the.Morning Workshops 8:50 - 12:00 1. ![]() Yet the software varies widely, and it remains very much the case that there is no one b est program. Programs are being revised at a regular rate, and new programs appear on the scene at the rate of one or two a year. Since then, the field has continued to grow rapidly. Half of those programs had been developed specifically for the analysis of qualitative data, while the other half had been developed for more general-purpose applications such as text search and storage. At the time the late Matt Miles and I wrote Computer Programs for Qualitative Data Analysis (Weitzman and Miles 1995b), we reviewed no fewer than 24 different programs that were useful for analyzing qualitative data. ![]() There has been an out-pouring of journal articles, a series of international conferences on computers and qualitative methodology, thoughtful books on the topic (Fielding and Lee 1991, 1998 Kelle 1995 Tesch 1990 Weitzman and Miles 1995b), and special journal issues (Mangabeira 1996 Tesch 1991). A couple of programs designed specifically for the analyses of qualitative d ata were just beginning to appear (Drass 1980 Seidel and Clark 1984 Shelly and Sibert 1985).īut the landscape has changed dramatically. Most qualitative methods textbooks at the time (e.g., Bogdan and Biklen 1982 Goetz and LeCompte 1984 Lofland and Lofland 1984 Miles and Huberman 1984) made little, if any, reference to the use of computers. Some were beginning to use word processors for the typing work, and just a few were beginning to experiment with database programs for storing and accessing their text. As recently as the mid-1980s, most qualitative researchers were carrying out the mechanics of their analyses by hand: typing up field notes and interviews, photocopying them, marking them up with markers or pencils, cutting and pasting the marked segments onto file cards, sorting and shuffling the cards, and typing up their analyses. Qualitative research, qualitative data analysis, software, CAQDAS, mixed-methods researchĪs health services researchers increasingly turn to qualitative and mixed (qualitative and quantitative) research methods, there is increasing interest in finding and using new tools and methods for the analysis of qualitative data. Software, however, is not a replacement for methodological training. Software for qualitative data analysis can benefit the researcher in terms of speed, consistency, rigor, and access to analytic methods not available by hand. This article does not include reports of empirical research.Ĭonclusions. To provide health services researchers with an overview of the qualitative data analysis process and the role of software within it to provide a principled approach to choosing among software packages to support qualitative data analysis to alert researchers to the potential benefits and limitations of such software and to provide an overview of the developments to be expected in the field in the near future.
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