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Example 7.8 Hypotheses and Research Questions in a Mixed Methods Study Houtz (1995) provides an example of a two-phase study with the separate quantitative and qualitative research hypotheses and questions stated in sections introducing each phase. She did not use a separate, distinct mixed methods research question.
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- When to Use Mixed Methods Research
- Mixed Methods Research Designs
- Advantages of Mixed Methods Research
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Mixed methods research may be the right choice if your research processsuggests that quantitative or qualitative data alone will not sufficiently answer your research question. There are several common reasons for using mixed methods research: 1. Generalizability: Qualitative research usually has a smaller sample size, and thus is not generalizable...
There are different types of mixed methods research designs. The differences between them relate to the aim of the research, the timing of the data collection, and the importance given to each data type. As you design your mixed methods study, also keep in mind: 1. Your research approach (inductive vs deductive) 2. Your research questions 3. What k...
“Best of both worlds” analysis
Combining the two types of data means you benefit from both the detailed, contextualized insights of qualitative data and the generalizable, externally valid insights of quantitative data. The strengths of one type of data often mitigate the weaknesses of the other. For example, solely quantitative studies often struggle to incorporate the lived experiences of your participants, so adding qualitative data deepens and enriches your quantitative results. Solely qualitative studies are often not...
Method flexibility
Mixed methods are less tied to disciplines and established research paradigms. They offer more flexibility in designing your research, allowing you to combine aspects of different types of studies to distill the most informative results. Mixed methods research can also combine theory generation and hypothesis testingwithin a single study, which is unusual for standalone qualitative or quantitative studies.
Workload
Mixed methods research is very labor-intensive. Collecting, analyzing, and synthesizing two types of data into one research product takes a lot of time and effort, and often involves interdisciplinary teams of researchers rather than individuals. For this reason, mixed methods research has the potential to cost much more than standalone studies.
Differing or conflicting results
If your analysis yields conflicting results, it can be very challenging to know how to interpret them in a mixed methods study. If the quantitative and qualitative results do not agree or you are concerned you may have confounding variables, it can be unclear how to proceed. Due to the fact that quantitative and qualitative data take two vastly different forms, it can also be difficult to find ways to systematically compare the results, putting your data at risk for biasin the interpretation...
If you want to know more about statistics, methodology, or research bias, make sure to check out some of our other articles with explanations and examples.
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Jul 18, 2022 · For example, using one research instrument (such as a survey) with both open and closed questions may not be sufficient to be regarded as mixed methods.
Mixed methods approaches allows researchers to use a diversity of methods, combining inductive and deductive thinking, and offsetting limitations of exclusively quantitative and qualitative research through a complementary approach that maximizes strengths of each data type and facilitates a more comprehensive understanding of health issues and ...
explores mixed research questions with interconnected qualitative and quantitative compo- nents or aspects (e.g., questions including ‘‘what and how’’ or ‘‘what and why’’), 1 the end product of the study (conclusions and inferences) will also include both approaches.
Mar 29, 2019 · Combining methods in social scientific research has recently gained momentum through a research strand called Mixed Methods Research (MMR). This approach, which explicitly aims to offer a framework for combining methods, has rapidly spread through the social and behavioural sciences, and this article offers an analysis of the approach from a field theoretical perspective. After a brief outline ...
Jul 5, 2017 · Quantitative dominant [or quantitatively driven] mixed methods research is the type of mixed research in which one relies on a quantitative, postpositivist view of the research process, while concurrently recognizing that the addition of qualitative data and approaches are likely to benefit most research projects. (p.
