¶ … Mixed Methods Approaches
Although some researchers may believe that only one method of research is valid when studying human behavior, in general it is more useful to view different research approaches as part of the varied 'instruments' in a researcher's toolbox, rather than denigrate one type of research at the expense of other kinds. Whether quantitative, qualitative, or mixed methods approaches are selected determines on the nature of the research; its purpose; and above all the types of questions that are being asked. No format is inherently better.
The strength of quantitative research lies in its ability to deploy the scientific method or a quasi-scientific method in an effective fashion to answer a highly specific question -- usually in terms of a numerical value. For example, in the case of my research on female juvenile delinquency, the research question I chose to focus upon was the correlation between female delinquent behavior and GPA. A quantitative study can use statistical analysis to analyze data derived from a wide variety of sources on the same focused topic. It can thus make generalizations about a population in a fairly broad fashion, such as the fact that female delinquent behavior may be less associated with long-term antisocial behavior and school-related problems and more associated with personal trauma or psychological conditions.
Quantitative studies are necessary to justify making policy-related decisions, given that they require considerable financial and logistical resources as well as political capital to enact. For example, the decision to institute a nation-wide program to combat delinquency would not be based upon a small, qualitative study which focused on the input of only a handful of participants. Rather than deploying deductive logic (applying principles to specific instances) qualitative studies apply inductive logic, or come to general principles based upon specific observations. My qualitative research study used a 'grounded theory' approach in which the researcher attempts to create a theory based upon specific observations, versus testing a hypothesis and applying a theory to specific individuals after the fact. Rather than analyzing numerical data, qualitative research takes a narrative approach. Because of its more personalized emphasis, it focuses on a small number of persons. The results may not be generalizable to a larger population and may be specific to that group. The idea behind qualitative research is to let individuals speak about their personalized experiences, a particularly important issue for the survivors of sexual abuse that were the focus of my study.
One of the criticisms of qualitative research is that it is intensely subjective, both in terms of the data it derives and the perspective of the researcher. However, the same criticism could be leveled in a different fashion against quantitative research. Even though quantitative research 'feels' more objective, the researcher still has an intensive, personal role in guiding the process -- selecting the question, defining the test population (both experimental and control groups), and the methods of statistical analysis are all subjective acts, an advocate of the qualitative approach might allege. All research is subjective, the qualitative researcher believes, and the ability for the subjects to articulate their voices in a manner that is not shaped by the researcher is valuable. Also, qualitative researchers tend to be more self-conscious and explicit about their biases, versus quantitative researchers that may present themselves as objective but actually have hidden prejudices. This increases the value and validity of qualitative approaches in some eyes, even though the small-scale nature of qualitative approaches is extremely problematic when determining policies that affect many people.
Quantitative researchers, however, would point out that qualitative methods often still use data-driven formats that could be construed as statistical, such as 'coding' the responses of participants to structured interviews and comparing them with one another. Raw data is of little value and it still must be passed through some interpretive lens to have utility to fellow researchers, policy makers or the general public. Researchers, even while they admit their own subjectivity, must still offer their findings in an organized fashion to be useful and comprehensible.
Finally, a mixed method approach attempts to unite 'the best of both worlds' in its structure. Mixed methods approaches may begin with a scientific hypothesis and use hard data to analyze a specific question, but may also introduce subjective elements like interviews to ensure that the numbers that are accrued still are connected to a 'human' element. Or these research studies may be primarily qualitative in approach but include a 'hard data' component, such as doing a case study of persons with depression but measuring the subjects' responses using a statistically analyzable questionnaire. Given that purely quantitative research may 'miss' a great deal if the research question is not framed correctly, a mixed methods approach can ensure that erroneous conclusions are not drawn....
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