Overview Mixed-Methods of Designs/Qualitative Designs Mixed-Methods Research Designs More and more, researchers are employing research designs that combine both qualitative and quantitative methods. These types of research designs have become known as mixed-methods research designs. Mixed-methods combine qualitative and quantitative approaches to only the research methods (i.e., data collection and procedures) portion of the research process. These designs are not to be confused with mixedmodel designs (see Tashakkori & Teddlie, 1998), which combine these two approaches across all phases of the research process, including their respective underlying philosophical assumptions, approaches for generating research questions and hypotheses, and bases for analysis and inference (Tashakkori & Teddlie, 1998). Mixed-methods studies are appropriate when a researcher has both quantitative and qualitative data, and both types of data—when considered together—can provide a better understanding of the research problem than either type of data alone (Creswell, 2005). One of the major benefits of mixed-methods research is that it capitalizes on the strengths of both quantitative and qualitative research. For example, quantitative data yields information that can be analyzed statistically and can offer useful information if one needs to describe a large number of people. However, qualitative data, such as open-ended interviews, offer the chance for individuals to express their own perspectives on the topic. Combining these two types of data provides very "powerful" information about the study topic at hand (Creswell, 2005). The researcher is afforded the opportunity to develop a much more complex picture of the phenomenon under study. Another situation appropriate for a mixed-methods study occurs when a researcher wants to build from, or extend, one phase of research to another. For example, a researcher may want to first explore qualitative data in order to guide the development of a quantitative survey instrument, or to identify variables in order to study them in a subsequent quantitative study. Similarly, the researcher may wish to follow up a quantitative study with a qualitative one in order to collect more detailed information that might support or extend explanations that could be drawn from the results of statistical analyses (Creswell, 2005). Source: Mertler, C. A., & Charles, C. M. (2008). Introduction to educational research (6th ed.). Boston: Allyn & Bacon. Mixed-Methods I. Research Designs Research Questions… Generically-Stated Research Question: Examples of Appropriately-Stated Research Questions: II. …simply combine aspects of qualitative and quantitative research questions. What are teachers’ perceptions of the influence of NCLB on their classroom practices? How have these practices changed over the past few years? Sampling & Data… Randomly selected samples may or may not be important…depending on the goal of the study (generalization??) Data will be both qualitative and quantitative III. Issues… There are three main mixed-methods research designs. the explanatory design, the exploratory design, and the triangulation design In an explanatory mixed-methods design—which is the most common type of mixed-method design—the researcher first collects quantitative data and then collects qualitative data in order to help support, explain, or elaborate on the quantitative results. Data collection may be done sequentially, or may be done in two distinct phases. The rationale for this approach is that the quantitative data and analysis provide the main focus of the results; the qualitative data and analysis are used to elaborate on, refine, or explain the quantitative findings. In this design, the emphasis is placed clearly on quantitative data and analysis. NOTE: In an exploratory mixed-methods design, the researcher begins by collecting qualitative data and then collect quantitative data, either sequentially or using a two-phase approach. Data collection may be done sequentially, or may be done in two distinct phases. Qualitative data—which are emphasized more heavily—are collected first in order to explore the topic of interest. Quantitative data are subsequently collected in order to explain the relationships found in the qualitative data. A common application of this design involves the exploration of a phenomenon and the identification of themes (through the qualitative data), followed by the development of an instrument and its subsequent use to collect additional data (this time, the data are quantitative). In triangulation mixed-methods design, both quantitative and qualitative data are collected at about the same time. The two types of data are given equal emphasis; this allows the researcher to combine the strengths of each form of data. The rationale behind this design is that the researcher values equally the two forms of data and treats them as such so that they are "merged" and the results of analyses are used simultaneously to understand the research problem. Quantitative and qualitative results are informally compared in order to see if they have yielded similar results. Greater credibility is apparent in the findings to the extent that the two sets of results converge and indicate the same results. This process of establishing the convergence of results is known as triangulation. Qualitative Research Designs Qualitative research involves the collection, analysis, and interpretation of data, largely narrative and visual in nature, in order to gain insights into a particular phenomenon of interest (Gay, Mills, & Airasian, 2006). The focus of qualitative research tends to be on the quality of a particular activity, rather than how often it occurs or how it might be evaluated, which is typically the focus of quantitative research (Fraenkel & Wallen, 2006). Since the focus of qualitative research is on the quality of a specific phenomenon, there is a greater emphasis on holistic description—that is, on describing in thick, rich detail—of the phenomenon, setting, or topic of interest. This type of description exists in stark contrast to that resulting from quantitative research, which can be thought of as a "snapshot" of the topic. Source: Mertler, C. A., & Charles, C. M. (2008). Introduction to educational research (6th ed.). Boston: Allyn & Bacon. I. Major characteristics… Qualitative research is naturalistic. Qualitative research is descriptive. Qualitative researchers are concerned with process as well as product. Qualitative researchers analyze their data inductively. Qualitative researchers have a primary concern with how people make sense and meaning out of their lives. II. Qualitative research process… Basic series of steps for conducting educational research is fairly consistent across different types of quantitative research, but the steps in conducting qualitative research are not quite as distinct. The steps in a qualitative study may occur out of their sequential order, may overlap with each other, or are sometimes conducted simultaneously. III. …especially with respect to data collection and analysis… Approaches to qualitative research… Ethnographic research, also known as ethnography, involves the in-depth description and interpretation of the shared or common practices and beliefs of a culture, social group, or other community. The purpose of historical research is to describe events, occurrences, or settings of the past in an attempt to better understand them. The purpose of grounded theory research is to discover an existing theory or generate a new theory that results directly from the data. These theories are not generated or stated prior to the beginning of the study, but are developed inductively from the data that are collected and analyzed during the study itself. The intent of phenomenological research is to describe and interpret the experiences or reactions of participants to a particular phenomenon from their individual perspectives. The underlying assumption to this approach is that there are multiple ways of interpreting the same experience, as well as multiple meanings that can be derived from that experience. A case study is an in-depth analysis of a single, restricted entity. A case might consist of one student, one classroom, one school, one program, or one community.