res723a | Graduate

Advanced Statistical Research Methods And Design

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Advanced Statistical Research Methods and Design was developed for advanced PhD in Higher Education Administration students. It provides information on paradigms of quantitative research and their application in higher education. This course builds on the students' foundational knowledge of quantitative methods and statistical analyses. Students will make connections between research and practice with a focus on statistical analysis and interpretation of data in the context of problems and practices found in higher education. Apply appropriate knowledge, theories, analytical skills, research design and methodology in higher education administration research. Determine appropriate sampling approaches, sample size, and statistical power in research studies. Explain advanced quantitative data analysis procedures, methods, and their applications. Select appropriate quantitative procedures and methods based on research questions and designs. Analyze statistical data using IBM/SPSS (Statistical Package for the Social Sciences). Evaluate the internal and external validity concerns in research studies. Propose methods for reporting statistical findings and interpretations of data analysis.

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

Course details:

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

topic title goes here

    Review of Research Designs and Simple Linear Regression Analysis

    • Competency E: Analyze statistical data using IBM/SPSS (Statistical Package for the Social Sciences). [WK 1]
    • Competency F: Evaluate the internal and external validity concerns in research studies. [WK 1]
    • Competency A: Apply appropriate knowledge, theories, analytical skills, research design and methodology in higher education administration research. [WK 1]
    • Competency B: Determine appropriate sampling approaches, sample size, and statistical power in research studies. [WK 1]
    • Competency C: Explain advanced quantitative data analysis procedures, methods, and their applications. [WK 1]
    • Competency D: Select appropriate quantitative procedures and methods based on research questions and designs. [WK 1]
    • Competency G: Propose methods for reporting statistical findings and interpretations of data analysis. [WK 1]

    Traditional Approaches to Statistical Analysis and Multiple Regression Analysis

    • Competency G: Propose methods for reporting statistical findings and interpretations of data analysis. [WK 2]
    • Competency B: Determine appropriate sampling approaches, sample size, and statistical power in research studies. [WK 2]
    • Competency A: Apply appropriate knowledge, theories, analytical skills, research design and methodology in higher education administration research. [WK 2]
    • Competency C: Explain advanced quantitative data analysis procedures, methods, and their applications. [WK 2]
    • Competency D: Select appropriate quantitative procedures and methods based on research questions and designs. [WK 2]
    • Competency E: Analyze statistical data using IBM/SPSS (Statistical Package for the Social Sciences). [WK 2]
    • Competency F: Evaluate the internal and external validity concerns in research studies. [WK 2]

    Research Design: Putting It All Together and ANOVA: Comparing Several Means

    • Competency C: Explain advanced quantitative data analysis procedures, methods, and their applications. [WK 4]
    • Competency D: Select appropriate quantitative procedures and methods based on research questions and designs. [WK 4]
    • Competency E: Analyze statistical data using IBM/SPSS (Statistical Package for the Social Sciences). [WK 4]
    • Competency G: Propose methods for reporting statistical findings and interpretations of data analysis. [WK 4]
    • Competency A: Apply appropriate knowledge, theories, analytical skills, research design and methodology in higher education administration research. [WK 4]
    • Competency B: Determine appropriate sampling approaches, sample size, and statistical power in research studies. [WK 4]
    • Competency F: Evaluate the internal and external validity concerns in research studies. [WK 4]

    Selecting the Appropriate Statistical Tests and ANCOVA

    • Competency A: Apply appropriate knowledge, theories, analytical skills, research design and methodology in higher education administration research. [WK 5]
    • Competency C: Explain advanced quantitative data analysis procedures, methods, and their applications. [WK 5]
    • Competency E: Analyze statistical data using IBM/SPSS (Statistical Package for the Social Sciences). [WK 5]
    • Competency D: Select appropriate quantitative procedures and methods based on research questions and designs. [WK 5]
    • Competency F: Evaluate the internal and external validity concerns in research studies. [WK 5]
    • Competency G: Propose methods for reporting statistical findings and interpretations of data analysis. [WK 5]
    • Competency B: Determine appropriate sampling approaches, sample size, and statistical power in research studies. [WK 5]

    Revisiting the Need for a Robust Research Design and Categorical Data

    • Competency A: Apply appropriate knowledge, theories, analytical skills, research design and methodology in higher education administration research. [WK 8]
    • Competency F: Evaluate the internal and external validity concerns in research studies. [WK 8]
    • Competency G: Propose methods for reporting statistical findings and interpretations of data analysis. [WK 8]
    • Competency B: Determine appropriate sampling approaches, sample size, and statistical power in research studies. [WK 8]
    • Competency C: Explain advanced quantitative data analysis procedures, methods, and their applications. [WK 8]
    • Competency D: Select appropriate quantitative procedures and methods based on research questions and designs. [WK 8]
    • Competency E: Analyze statistical data using IBM/SPSS (Statistical Package for the Social Sciences). [WK 8]

    Warranting Research Claims and Comparing Two Means: Paired Sample t-tests

    • Competency F: Evaluate the internal and external validity concerns in research studies. [WK 3]
    • Competency D: Select appropriate quantitative procedures and methods based on research questions and designs. [WK 3]
    • Competency G: Propose methods for reporting statistical findings and interpretations of data analysis. [WK 3]
    • Competency A: Apply appropriate knowledge, theories, analytical skills, research design and methodology in higher education administration research. [WK 3]
    • Competency B: Determine appropriate sampling approaches, sample size, and statistical power in research studies. [WK 3]
    • Competency C: Explain advanced quantitative data analysis procedures, methods, and their applications. [WK 3]
    • Competency E: Analyze statistical data using IBM/SPSS (Statistical Package for the Social Sciences). [WK 3]

    Dealing With Missing Values, Outliers, Non-Normality and MANOVA

    • Competency D: Select appropriate quantitative procedures and methods based on research questions and designs. [WK 6]
    • Competency A: Apply appropriate knowledge, theories, analytical skills, research design and methodology in higher education administration research. [WK 6]
    • Competency B: Determine appropriate sampling approaches, sample size, and statistical power in research studies. [WK 6]
    • Competency C: Explain advanced quantitative data analysis procedures, methods, and their applications. [WK 6]
    • Competency E: Analyze statistical data using IBM/SPSS (Statistical Package for the Social Sciences). [WK 6]
    • Competency F: Evaluate the internal and external validity concerns in research studies. [WK 6]
    • Competency G: Propose methods for reporting statistical findings and interpretations of data analysis. [WK 6]

    Types of Variables; Treatment in Statistical Analysis and Exploratory Factor Analysis

    • Competency F: Evaluate the internal and external validity concerns in research studies. [WK 7]
    • Competency G: Propose methods for reporting statistical findings and interpretations of data analysis. [WK 7]
    • Competency B: Determine appropriate sampling approaches, sample size, and statistical power in research studies. [WK 7]
    • Competency C: Explain advanced quantitative data analysis procedures, methods, and their applications. [WK 7]
    • Competency A: Apply appropriate knowledge, theories, analytical skills, research design and methodology in higher education administration research. [WK 7]
    • Competency D: Select appropriate quantitative procedures and methods based on research questions and designs. [WK 7]
    • Competency E: Analyze statistical data using IBM/SPSS (Statistical Package for the Social Sciences). [WK 7]
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