4.4 KiB
| title | chunk | source | category | tags | date_saved | instance |
|---|---|---|---|---|---|---|
| Multimethodology | 3/3 | https://en.wikipedia.org/wiki/Multimethodology | reference | science, encyclopedia | 2026-05-05T10:02:39.234877+00:00 | kb-cron |
== In contrast to quantitative and qualitative methodologies == One major similarity between mixed methodologies and qualitative and quantitative taken separately is that researchers need to maintain focus on the original purpose behind their methodological choices. A major difference between the two, however, is the way some authors differentiate the two, proposing that there is logic inherent in one that is different from the other. Creswell (2009) points out that in a quantitative study the researcher starts with a problem statement, moving on to the hypothesis and null hypothesis, through the instrumentation into a discussion of data collection, population, and data analysis. Creswell proposes that for a qualitative study the flow of logic begins with the purpose for the study, moves through the research questions discussed as data collected from a smaller group and then voices how they will be analysed. A research strategy is a procedure for achieving a particular intermediary research objective — such as sampling, data collection, or data analysis. We may therefore speak of sampling strategies or data analysis strategies. The use of multiple strategies to enhance construct validity (a form of methodological triangulation) is now routinely advocated by methodologists. In short, mixing or integrating research strategies (qualitative and/or quantitative) in any and all research undertaking is now considered a common feature of good research. A research approach refers to an integrated set of research principles and general procedural guidelines. Approaches are broad, holistic (but general) methodological guides or roadmaps that are associated with particular research motives or analytic interests. Two examples of analytic interests are population frequency distributions and prediction. Examples of research approaches include experiments, surveys, correlational studies, ethnographic research, and phenomenological inquiry. Each approach is ideally suited to addressing a particular analytic interest. For instance, experiments are ideally suited to addressing nomothetic explanations or probable cause; surveys — population frequency descriptions, correlations studies — predictions; ethnography — descriptions and interpretations of cultural processes; and phenomenology — descriptions of the essence of phenomena or lived experiences. In a single approach design (SAD)(also called a "monomethod design") only one analytic interest is pursued. In a mixed or multiple approach design (MAD) two or more analytic interests are pursued. Note: a multiple approach design may include entirely "quantitative" approaches such as combining a survey and an experiment; or entirely "qualitative" approaches such as combining an ethnographic and a phenomenological inquiry, and a mixed approach design includes a mixture of the above (e.g., a mixture of quantitative and qualitative data, methods, methodologies, and/or paradigms). A word of caution about the term "multimethodology". It has become quite common place to use the terms "method" and "methodology" as synonyms (as is the case with the above entry). However, there are convincing philosophical reasons for distinguishing the two. "Method" connotes a way of doing something — a procedure (such as a method of data collection). "Methodology" connotes a discourse about methods — i.e., a discourse about the adequacy and appropriateness of particular combination of research principles and procedures. The terms methodology and biology share a common suffix "logy." Just as bio-logy is a discourse about life — all kinds of life; so too, methodo-logy is a discourse about methods — all kinds of methods. It seems unproductive, therefore, to speak of multi-biologies or of multi-methodologies. It is very productive, however, to speak of multiple biological perspectives or of multiple methodological perspectives.
== See also == Perestroika Movement (political science) Post-autistic economics Computer-assisted qualitative data analysis software
== References ==
== Further reading ==
== External links == Mixed Methods Network for Behavioral, Social, and Health Sciences Official website of Mixed Methods International Research Association