res746 | Graduate

Mixed Methods

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The Mixed-Methods course focuses on both conceptual issues surrounding the use of mixed methods in business, education, nursing and social science research and the analysis of data using mixed methods. The course will involve scrutiny of published mixed-method research throughout, and uses published research for reference purposes throughout the course. Students are expected to develop skills in mixed-method research by engaging in actual analysis of data using mixed methods. Thus, the course will blend conceptualization, design, and analysis. Content of the course represents a clear recognition of the importance of mixed methods in research and the growing importance of a solid knowledge of both quantitative and qualitative approaches -- and their blending -- to actually design and conduct meaningful doctoral level research. Competencies: Explain the nature of the mixed method research method and the various approaches to conducting mixed method research. Justify the application of an appropriate mixed method research design to a research problem. Create research questions (hypotheses) that align with the application of a given mixed method design and research problem Apply appropriate knowledge, theories, analytical skills, and methodology in a substantive interest area using a mixed method design. Determine appropriate sampling approaches, sample size, and data saturation/statistical power for the qualitative and quantitative phases in mixed method research studies. Compare qualitative and quantitative data collection techniques and instrumentation and their application in mixed method research studies. Align qualitative and quantitative data analysis techniques and procedures with a given mixed method design, variables and phenomena, and data. Evaluate the qualitative and quantitative validity concerns in mixed method research studies.

This graduate-level course is 8 weeks To enroll, speak with an Enrollment Representative.

Course details:

Credits: 3
Duration: 8 weeks

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    Mixed Method Research Overview and Approaches

    • Competency G: Align qualitative and quantitative data analysis techniques and procedures with a given mixed method design, variables and phenomena, and data. [WK 1]
    • Competency H: Evaluate the qualitative and quantitative validity concerns in mixed method research studies. [WK 1]
    • Competency A: Explain the nature of the mixed method research method and the various approaches to conducting mixed method research. [WK 1]
    • Competency B: Justify the application of an appropriate mixed method research design to a research problem. [WK 1]
    • Competency C: Create research questions (hypotheses) that align with the application of a given mixed method design and research problem. [WK 1]
    • Competency D: Apply appropriate knowledge, theories, analytical skills, and methodology in a substantive interest area using a mixed method design. [WK 1]
    • Competency E: Determine appropriate sampling approaches, sample size, and data saturation/statistical power for the qualitative and quantitative phases in mixed method research studies. [WK 1]
    • Competency F: Compare qualitative and quantitative data collection techniques and instrumentation and their application in mixed method research studies. [WK 1]

    Choosing and Applying a Mixed Method Research Design to a Research Problem

    • Competency A: Explain the nature of the mixed method research method and the various approaches to conducting mixed method research. [WK 2]
    • Competency B: Justify the application of an appropriate mixed method research design to a research problem. [WK 2]
    • Competency C: Create research questions (hypotheses) that align with the application of a given mixed method design and research problem. [WK 2]
    • Competency D: Apply appropriate knowledge, theories, analytical skills, and methodology in a substantive interest area using a mixed method design. [WK 2]
    • Competency E: Determine appropriate sampling approaches, sample size, and data saturation/statistical power for the qualitative and quantitative phases in mixed method research studies. [WK 2]
    • Competency F: Compare qualitative and quantitative data collection techniques and instrumentation and their application in mixed method research studies. [WK 2]
    • Competency G: Align qualitative and quantitative data analysis techniques and procedures with a given mixed method design, variables and phenomena, and data. [WK 2]
    • Competency H: Evaluate the qualitative and quantitative validity concerns in mixed method research studies. [WK 2]

    Defining the Purpose and Phases of a Mixed Method Study

    • Competency C: Create research questions (hypotheses) that align with the application of a given mixed method design and research problem. [WK 3]
    • Competency D: Apply appropriate knowledge, theories, analytical skills, and methodology in a substantive interest area using a mixed method design. [WK 3]
    • Competency E: Determine appropriate sampling approaches, sample size, and data saturation/statistical power for the qualitative and quantitative phases in mixed method research studies. [WK 3]
    • Competency F: Compare qualitative and quantitative data collection techniques and instrumentation and their application in mixed method research studies. [WK 3]
    • Competency A: Explain the nature of the mixed method research method and the various approaches to conducting mixed method research. [WK 3]
    • Competency H: Evaluate the qualitative and quantitative validity concerns in mixed method research studies. [WK 3]
    • Competency G: Align qualitative and quantitative data analysis techniques and procedures with a given mixed method design, variables and phenomena, and data. [WK 3]
    • Competency B: Justify the application of an appropriate mixed method research design to a research problem. [WK 3]

    Validity Concerns in Mixed Method Studies

    • Competency D: Apply appropriate knowledge, theories, analytical skills, and methodology in a substantive interest area using a mixed method design. [WK 8]
    • Competency E: Determine appropriate sampling approaches, sample size, and data saturation/statistical power for the qualitative and quantitative phases in mixed method research studies. [WK 8]
    • Competency F: Compare qualitative and quantitative data collection techniques and instrumentation and their application in mixed method research studies. [WK 8]
    • Competency G: Align qualitative and quantitative data analysis techniques and procedures with a given mixed method design, variables and phenomena, and data. [WK 8]
    • Competency H: Evaluate the qualitative and quantitative validity concerns in mixed method research studies. [WK 8]
    • Competency A: Explain the nature of the mixed method research method and the various approaches to conducting mixed method research. [WK 8]
    • Competency B: Justify the application of an appropriate mixed method research design to a research problem. [WK 8]
    • Competency C: Create research questions (hypotheses) that align with the application of a given mixed method design and research problem. [WK 8]

    Data Collection Techniques and Instrumentation in Mixed Method Studies

    • Competency F: Compare qualitative and quantitative data collection techniques and instrumentation and their application in mixed method research studies. [WK 6]
    • Competency G: Align qualitative and quantitative data analysis techniques and procedures with a given mixed method design, variables and phenomena, and data. [WK 6]
    • Competency H: Evaluate the qualitative and quantitative validity concerns in mixed method research studies. [WK 6]
    • Competency A: Explain the nature of the mixed method research method and the various approaches to conducting mixed method research. [WK 6]
    • Competency B: Justify the application of an appropriate mixed method research design to a research problem. [WK 6]
    • Competency C: Create research questions (hypotheses) that align with the application of a given mixed method design and research problem. [WK 6]
    • Competency D: Apply appropriate knowledge, theories, analytical skills, and methodology in a substantive interest area using a mixed method design. [WK 6]
    • Competency E: Determine appropriate sampling approaches, sample size, and data saturation/statistical power for the qualitative and quantitative phases in mixed method research studies. [WK 6]

    Data Analysis Techniques and Procedures in Mixed Method Studies

    • Competency A: Explain the nature of the mixed method research method and the various approaches to conducting mixed method research. [WK 7]
    • Competency B: Justify the application of an appropriate mixed method research design to a research problem. [WK 7]
    • Competency C: Create research questions (hypotheses) that align with the application of a given mixed method design and research problem. [WK 7]
    • Competency D: Apply appropriate knowledge, theories, analytical skills, and methodology in a substantive interest area using a mixed method design. [WK 7]
    • Competency E: Determine appropriate sampling approaches, sample size, and data saturation/statistical power for the qualitative and quantitative phases in mixed method research studies. [WK 7]
    • Competency F: Compare qualitative and quantitative data collection techniques and instrumentation and their application in mixed method research studies. [WK 7]
    • Competency G: Align qualitative and quantitative data analysis techniques and procedures with a given mixed method design, variables and phenomena, and data. [WK 7]
    • Competency H: Evaluate the qualitative and quantitative validity concerns in mixed method research studies. [WK 7]

    Sampling in Mixed Method Studies

    • Competency E: Determine appropriate sampling approaches, sample size, and data saturation/statistical power for the qualitative and quantitative phases in mixed method research studies. [WK 5]
    • Competency F: Compare qualitative and quantitative data collection techniques and instrumentation and their application in mixed method research studies. [WK 5]
    • Competency G: Align qualitative and quantitative data analysis techniques and procedures with a given mixed method design, variables and phenomena, and data. [WK 5]
    • Competency A: Explain the nature of the mixed method research method and the various approaches to conducting mixed method research. [WK 5]
    • Competency B: Justify the application of an appropriate mixed method research design to a research problem. [WK 5]
    • Competency C: Create research questions (hypotheses) that align with the application of a given mixed method design and research problem. [WK 5]
    • Competency H: Evaluate the qualitative and quantitative validity concerns in mixed method research studies. [WK 5]
    • Competency D: Apply appropriate knowledge, theories, analytical skills, and methodology in a substantive interest area using a mixed method design. [WK 5]

    Research Questions (hypotheses) in Mixed Method Studies

    • Competency H: Evaluate the qualitative and quantitative validity concerns in mixed method research studies. [WK 4]
    • Competency A: Explain the nature of the mixed method research method and the various approaches to conducting mixed method research. [WK 4]
    • Competency B: Justify the application of an appropriate mixed method research design to a research problem. [WK 4]
    • Competency C: Create research questions (hypotheses) that align with the application of a given mixed method design and research problem. [WK 4]
    • Competency D: Apply appropriate knowledge, theories, analytical skills, and methodology in a substantive interest area using a mixed method design. [WK 4]
    • Competency E: Determine appropriate sampling approaches, sample size, and data saturation/statistical power for the qualitative and quantitative phases in mixed method research studies. [WK 4]
    • Competency F: Compare qualitative and quantitative data collection techniques and instrumentation and their application in mixed method research studies. [WK 4]
    • Competency G: Align qualitative and quantitative data analysis techniques and procedures with a given mixed method design, variables and phenomena, and data. [WK 4]
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