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Research Design Mixed Methods

Research Design Mixed Methods . Elham Ahmadnezhad MD. MPH. PhD Student of Epidemiology Tehran University of Medical Sciences Nov. 2009. Brief Description of Lecturer.

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Research Design Mixed Methods

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  1. Research DesignMixedMethods Elham Ahmadnezhad MD. MPH. PhD Student of Epidemiology Tehran University of Medical Sciences Nov. 2009

  2. Brief Description of Lecturer • Dr Elham Ahmadnezhad is a researcher at the Department of Disaster and Emergency Management, National institute of health research, Tehran University of Medical Sciences. I’m a medical doctor and now I am studying PhD of Epidemiology. My interest is Disaster Epidemiology. My Email: elhamahmadnezhad@gmail.com Elham Ahmadnezhad. Mixed Methods

  3. Outlines • Briefly History • Why Mixed Methods? • Type of Research designs • Criteria for Choosing a Strategies • Alternative Strategies and Visual Models • Data Collection Procedures • Data Analysis and Validation Procedures • Report Presentation Structure Elham Ahmadnezhad. Mixed Methods

  4. Briefly History • 1959: Concept of mixing different methods by Campbell & Fiske. (Psychologists) • 1973: Combined the Qualitative & Quantitative data by S.D. Sieber. • 1979: Converging or triangulating different Qualitative & Quantitative data sources by Jick. • 1989-2003: Expanded procedures for Mixed methods By Tashakkori & Teddli and then Creswell. Elham Ahmadnezhad. Mixed Methods

  5. Why Mixed Methods? • Quantitative data can reveal generalizable information for a large group of people • These data often fail to provide specific answers, reasons, explanations or examples • Qualitative research provides data about meaning and context regarding the people and environments of study • Findings are often not generalizable because of the small numbers & narrow range of participants • Both methods have strengths and weaknesses • When used together, these methods can be complimentary Elham Ahmadnezhad. Mixed Methods

  6. Type of Research Design Quantitative, Qualitative and Mixed Methods Elham Ahmadnezhad. Mixed Methods

  7. Criteria for Choosing a Strategies Four decisions go into selecting a mixed methods strategy Elham Ahmadnezhad. Mixed Methods

  8. Criteria for Choosing a Strategies • What is implementation sequence of the quantitative and qualitative data collection in the proposed study? • What priority will be given to the quantitative and qualitative data collection and analysis? • At what stage in the research project will the quantitative and qualitative data and finding be integrated? • Will an overall theoretical perspective (e.g., gender, race/ ethnicity, lifestyle, class) be used in the study? Elham Ahmadnezhad. Mixed Methods

  9. Alternative Strategies and Visual Models Sequential Explanatory Design QUAN Data Collection QUAN Data Analysis Qual Data Collection Qual Data Analysis Interpretation of Entre analysis QUAN qual Elham Ahmadnezhad. Mixed Methods

  10. Alternative Strategies and Visual Models Sequential Exploratory Design QUAL Data Collection QUAL Data Analysis Quan Data Collection Quan Data Analysis Interpretation of Entre Analysis QUAL quan Elham Ahmadnezhad. Mixed Methods

  11. Alternative Strategies and Visual Models Sequential Transformative Design Elham Ahmadnezhad. Mixed Methods

  12. Alternative Strategies and Visual Models Concurrent Triangulation Strategy QUAL Data Collection QUAN Data Collection Qual Data Analysid Quan Data Analysis Data Results Compared Elham Ahmadnezhad. Mixed Methods

  13. Alternative Strategies and Visual Models Concurrent Nested Strategy Analysis of Findings Analysis of Findings Elham Ahmadnezhad. Mixed Methods

  14. Alternative Strategies and Visual Models Concurrent Transformative Strategy Elham Ahmadnezhad. Mixed Methods

  15. Data Collection Procedures • Identify and be specific about the type of data. Some forms of data such as interviews and observations can be either quantitative or qualitative. Although reduction information to numbers is the approach used in quantitative research, it is also used in qual. Research. • Recognize that quantitative data often involve random sampling, so that each individual has no equal probability of being selected and the sample can be generalized to the larger population. In qualitative data collection, purposeful sampling is used to that individuals are selected because they have experienced the central phenomenon. Elham Ahmadnezhad. Mixed Methods

  16. Data Collection Procedures • Relate the procedures specifically to the visual model. For e.g, in a sequential explanatory model, the general procedures can be detailed even further. A discussion of this approach might include describing the use of survey data collection followed by both descriptive and infertial data analysis in the first phase. Then qualitative observations and coding and thematic analysis within an ethnographic design might be mentioned for the second phase. Elham Ahmadnezhad. Mixed Methods

  17. Data Analysis and Validation Procedures It’s related to the type of research strategy chosen for the procedures. Some of the more popular approaches: • Data transformation: In the concurrent strategies involve creating codes and themes qualitatively, then counting the number of times they occur in the text data. This quantification of qualitative data enables a researcher to compare quantitative results with the qualitative data. For instance, in a factor analysis of data from a scale on an instrument, the researcher may create factors or themes that then can be compared with themes from the qualitative database. Elham Ahmadnezhad. Mixed Methods

  18. Data Analysis and Validation Procedures • Explore outliers: In a sequential model, an analysis of quantitative data in the first phase can yield extreme or outlier cases. Follow-up qualitative interviews with these outlier cases can provide insight about why they diverged from the quantitative sample. • Instrument development: In a sequential approach, obtain themes and specific statements from participants in an initial qualitative data collection. In the next phase, use these statements as specific items and the themes for scales to create a survey instrument that is grounded in the views of the participants. A third, final phase might be to validate the instrument with large sample representative of a population. • Examine multiple levels: in a concurrent nested model, conduct a survey at one level (e.g. with families) to gather quantitative results about a sample. At the same time, collect qualitative interviews (e.g., with individuals) to explore the phenomenon with specific individuals in families. Elham Ahmadnezhad. Mixed Methods

  19. Data Analysis and Validation Procedures • It is necessary the validation of both qualitative and quantitative phases of study. Each of methods has the specific ways, for the qualitative data, the strategies that will be used to check the accuracy of the findings need to be mentioned. Elham Ahmadnezhad. Mixed Methods

  20. Report Presentation Structure • For a sequential study, mixed method researcher typically organize the report of procedures into quantitative data collection and qualitative data analysis followed by qualitative data and collection and analysis. Then, in the conclusions or interpretation phase of the study, the researcher comments on how the qualitative findings helped to elaborate on or extend the quantitative results. Alternatively, the qualitative data collection and analysis could come first followed by the quantitative data collection and analysis. In either structure, the writer typically will present the project as two distinct phases, with separate headings of each. Elham Ahmadnezhad. Mixed Methods

  21. Report Presentation Structure • In concurrent study. The quantitative and qualitative data collection may be presented in separate section, but the analysis and interpretation combines the two forms of data to seek convergence among the results. The structure of this type of mixed methods study does not as clearly make a distinction between the quantitative and qualitative phases. Elham Ahmadnezhad. Mixed Methods

  22. Report Presentation Structure • In a transformative study, the structure typically involves advancing the advocacy issue in the beginning of the study and then using either the sequential or concurrent structure as a means of organizing the content of the study. In the end of the study, a separate section may advance an agenda for change or reform that has developed as a result of the research. Elham Ahmadnezhad. Mixed Methods

  23. References Creswell, J. W. (2003). Research design. Sage publication. Tashakkori, A., & Tedllie, C. (2003). Handbook of mixed methods in the social and behavioral sciences. Thousand Oaks, CA: Sage. Elham Ahmadnezhad. Mixed Methods

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