res720 | Graduate

Statistical Research Methods And Design II

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​In this course, students expand their understanding of research methodology by exploring advanced statistical procedures. Students leverage investigative processes to demonstrate their understanding of, and ability to apply, interpret, and draw conclusions from complex approaches to quantitative research.

This graduate-level course is 8 weeks This course is available to take individually or To enroll, speak with an Enrollment Representative.

Course details:

Credits: 3
Continuing education units: XX
Professional development units: XX
Duration: 8 weeks

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    Correlational Analyses

    • Competency E: Engage with scholarly research to inform, legitimize, and advance actionable change(s) within your organization or discipline.
    • Competency A: Expound advanced quantitative research designs and methods to investigate authentic problems.
    • Competency B: Differentiate statistical models and tests used in quantitative research.
    • Competency C: Evaluate factors that threaten the quality of research studies.
    • Competency D: Leverage statistical software to organize, model, analyze, and interpret various forms of data.

    Statistical Application

    • Competency A: Expound advanced quantitative research designs and methods to investigate authentic problems.
    • Competency B: Differentiate statistical models and tests used in quantitative research.
    • Competency C: Evaluate factors that threaten the quality of research studies.
    • Competency D: Leverage statistical software to organize, model, analyze, and interpret various forms of data.
    • Competency E: Engage with scholarly research to inform, legitimize, and advance actionable change(s) within your organization or discipline.

    Research Design and Methodology

    • Competency A: Expound advanced quantitative research designs and methods to investigate authentic problems.
    • Competency B: Differentiate statistical models and tests used in quantitative research.
    • Competency C: Evaluate factors that threaten the quality of research studies.
    • Competency D: Leverage statistical software to organize, model, analyze, and interpret various forms of data.
    • Competency E: Engage with scholarly research to inform, legitimize, and advance actionable change(s) within your organization or discipline.

    Hypothesis Testing

    • Competency A: Expound advanced quantitative research designs and methods to investigate authentic problems.
    • Competency B: Differentiate statistical models and tests used in quantitative research.
    • Competency C: Evaluate factors that threaten the quality of research studies.
    • Competency D: Leverage statistical software to organize, model, analyze, and interpret various forms of data.
    • Competency E: Engage with scholarly research to inform, legitimize, and advance actionable change(s) within your organization or discipline.

    Data Collection and Instrumentation

    • Competency A: Expound advanced quantitative research designs and methods to investigate authentic problems.
    • Competency B: Differentiate statistical models and tests used in quantitative research.
    • Competency C: Evaluate factors that threaten the quality of research studies.
    • Competency D: Leverage statistical software to organize, model, analyze, and interpret various forms of data.
    • Competency E: Engage with scholarly research to inform, legitimize, and advance actionable change(s) within your organization or discipline.

    Assumptions/Frequency Analysis

    • Competency A: Expound advanced quantitative research designs and methods to investigate authentic problems.
    • Competency B: Differentiate statistical models and tests used in quantitative research.
    • Competency C: Evaluate factors that threaten the quality of research studies.
    • Competency D: Leverage statistical software to organize, model, analyze, and interpret various forms of data.
    • Competency E: Engage with scholarly research to inform, legitimize, and advance actionable change(s) within your organization or discipline.

    Group Comparisons

    • Competency A: Expound advanced quantitative research designs and methods to investigate authentic problems.
    • Competency B: Differentiate statistical models and tests used in quantitative research.
    • Competency C: Evaluate factors that threaten the quality of research studies.
    • Competency D: Leverage statistical software to organize, model, analyze, and interpret various forms of data.
    • Competency E: Engage with scholarly research to inform, legitimize, and advance actionable change(s) within your organization or discipline.
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