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Mixed methods designs
Mixed methods designs involve the collection of both qualitative and quantitative data to gain a comprehensive understanding of research problems. Key characteristics include justifying the design, considering data collection sequence, and ensuring that data analysis matches the research design. Various types of mixed methods designs exist, such as convergent parallel and explanatory sequential, each serving specific research needs and objectives.
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Defines mixed methods designs as a combination of qualitative and quantitative data collection for clearer understanding.
Differentiates between quantitative data (objective, deductive, numerical) and qualitative data (subjective, inductive, descriptive).
Describes scenarios for using mixed methods to enhance understanding of research problems through the combination of both data types.
Chronicles the evolution of mixed methods from quantitative mixing in the 1950s to creating distinct designs in the 2000s.
Outlines essential characteristics, including rationale, data collection, sequence considerations, and analysis matching.
Emphasis on the rationale behind mixed methods use, including clear indication of data types collected.
Discusses the importance of priority in data types and strategies for collecting data in a concurrent or sequential manner.
Focuses on aligning data analysis with research design and visualizing procedures for clarity.
Introduces various designs including Convergent Parallel, Explanatory Sequential, and others.
Details Convergent design's simultaneous data collection and Explanatory Sequential's two-phase approach.
Illustrates data comparison process in Convergent designs between qualitative and quantitative findings.
Highlights how quantitative findings are elaborated using qualitative data in Explanatory Sequential designs.
Describes Exploratory Sequential and Embedded designs focusing on their two-phase processes and support features.
Focuses on Transformative and Multiphase designs which aim to address complex social issues through various phases.
Explains how to add frameworks to basic designs to create advanced mixed methods designs.
Highlights ethical issues such as participant categorization and the importance of ethical data handling.
Details sequential steps from feasibility assessment to data analysis and reporting in mixed methods research.
Discusses ensuring consistencies in qualitative and quantitative criteria for evaluating mixed methods research quality.
Summarizes the process of collecting, analyzing, and integrating qualitative and quantitative data effectively.
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Mixed methods designs
- 1. Mixed Methods Designs Definition Aprocedure used to collect both qualitative and quantitative data. This is done due to the fact that it is believed that both types of studies will provided a clearer understanding of what is being studied. “It consists of merging ,integrating ,linking ,or embedding the two “strands””(Ceswell,2012).
- 2. Understanding the Differencein Quantitative and Qualitative Data • Quantitative Data Objective Deductive Numbers • Qualitative Data Subjective Inductive Words
- 3. When to Useit • “You conduct a mixed methods study when you have both quantitative and qualitative data and both types of data ,together , provide a better understanding of your research problem than either type by itself. • Mixed methods research is a good design to use if you seek to build on the strengths of both quantitative and qualitative data.”(Creswell,2012).
- 4. How it Developed •Mixing forms of Quantitative data(1950’s) • Combing Quantitative Data and Qualitative Data(1970’s) • Questioning the Integration of world views and methods(late 1980’s and early 1990’s) • Developing Procedures for Mixed Methods Studies(late 1990’s) • Advocating for Distinct Design(early 2000’s) • Reflexive Period(mid.2000’s-last5-7years)
- 5. Key Characteristics • Providea rational for the design • Include collecting quantitative and qualitative data • Consider Sequence • Match the data analysis to a design • Diagram the Procedures
- 6. Key Characteristics Provide Rationalfor the design • Important to know why you using Mixed Methods, • Include justification for the use of both types of data Include a collecting quantitative and qualitative data • “Clearly indicate that you are collecting both qualitative and quantitative data”(Creswell,2012)
- 7. Key Characteristics Consider Priority •Priority in mixed methods design is when ” the research places more emphasis on one type than on the other types of data in the research and the written report”(Creswell,2012) Consider Sequence • “Mixed methods researchers ” advance the sequence of data collecting using concurrent or sequential approaches or some combination”(Creswell, 2012)
- 8. Key Characteristics Match DataAnalysis to a design • The data analysis needs to match the research design Diagram the Procedures • Visualization or diagram of the design showing the procedures • Label the data • Indicating the sequence • Emphasizing the priority
- 9. Types of Designs •The Convergent Parallel Design • The Explanatory Sequential Design • The Exploratory Sequential Design • The Embedded Design • The Transformative design • The Multiphase Design
- 10. Types of Designs ConvergentParallel • Collect both number and text data at the same time • Merge the data • Rational : one of the data collection designs strengths will offset the other’s weakness Explanatory sequential • Two-phase • Collects number data then collects narrative data to explain number data • Rational : number data provides a general picture and the narrative data helps explain the general picture
- 11. Convergent • Quantitative and Qualitativeresults are compared Data Collection Data collection Data Analysis Data Analysis Qualitative findings Quantitative findings
- 12. Explanatory Sequential Quantitative results arefurther explained by Qualitative data and results Data Collection Data collection Data Analysis Data Analysis Qualitative findings Quantitative Results Interpretations
- 13. Exploratory Sequential • Two-phase •Start with narrative data then collects number data to explain relationship Embedded • Collect data at the same time or sequentially but one will be more supportive of the other
- 14. Exploratory Sequential Data CollectionData collection Data Analysis Data Analysis Qualitative findings Quantitative Results Interpretations Qualitative exploration leading to a quantitative test
- 15. Transformative • Complex • Intentis to address a social issue • Common issues are racial , ethnic , and disability Multiphase • Complex • Series of phases or separate studies
- 16. Adding a frameworkAdvanced Mixed Methods Designs Basic Design + Convergent Explanatory Seq. Exploratory Seq. Added framework (Such as ) Experiment Case Study = Basic Design Advanced Design
- 17. Ethical Issues There havenot been a lot of discussions rearing the ethical issues that arise in mixed methods research . One major concern is the design of grouping all participants together in a general category that may stereotype them . Also, you need to look at the ethical considerations of the two types of data.
- 18. Steps in ConductingResearch Step1 .determine if a mixed methods study is feasible. Step2. Identify rational for mixing methods. Step3. Identify a data collection strategy. Step4 .Develop Quantitative ,Qualitative, and mixed methods questions. Step5. Collect Quantitative and Qualitative data. Step6. Analyze data separately, concurrently or both. Step7. Write the report as a one-or-two-phase study or a multiple-phase study.
- 19. Evaluation of theQuality of these research designs AS a form of qualitative and quantitative research ,”mixed methods needs to be consistent in it's criteria for a good qualitative and quantitative study”.
- 20. Summary of MixedMethods Research 1. Collecting and analyzing qualitative and quantitative data (open-and closed-ended) in response to research questions. 2. Using rigorous qualitative and quantitative methods. 3. Combining or integrating quantitative and qualitative data using a specific type of mixed methods design. 4. Framing the mixed methods design within a broader framework(e g; experiment ,theory , or philosophy).