Statistical Research Methods And Design II – res720 (3 credits)

The course, RES/720, builds on the student's knowledge of quantitative research methods and statistics. The appropriate selection of a research method, design, and analysis - experimental, quasi-experimental, and correlational is reviewed. A study's alignment, instrumentation, and threats to reliability and validity will also be discussed. Competency A: Explain the nature of the quantitative research method. Competency B: Demonstrate understanding of research steps from identifying a research problem through to presenting research findings. Competency C: Apply an appropriate quantitative research design and analysis to a substantive area of interest. Competency D: Align inferential statistical procedures and data collection techniques with appropriate types of research designs. Competency E: Distinguish among types of variables and levels of measurement in an analysis. Competency F: Determine an appropriate population and sample within the area of study. Competency G: Evaluate the reliability and validity of instrumentation and the need to pilot test new or modified instruments. Competency H: Evaluate the threats to internal and external validity in research studies. Competency I: Demonstrate understanding of how to present research findings for publication.

This graduate-level course is 8 weeks. This course is available to take individually or as part of a degree or certificate program. To enroll, speak with an Enrollment Representative.

Data Analysis II

  • Competency B: Demonstrate understanding of research steps from identifying a research problem through to presenting research findings. [Wk 7]
  • Competency C: Apply an appropriate quantitative research design and analysis to a substantive area of interest. [Wk 7]
  • Competency D: Align inferential statistical procedures and data collection techniques with appropriate types of research designs. [Wk 7]
  • Competency E: Distinguish among types of variables and levels of measurement in an analysis. [Wk 7]
  • Competency F: Determine an appropriate population and sample within the area of study. [Wk 7]
  • Competency G: Evaluate the reliability and validity of instrumentation and the need to pilot test new or modified instruments. [Wk 7]
  • Competency H: Evaluate the threats to internal and external validity in research studies. [Wk 7]
  • Competency I: Demonstrate understanding of how to present research findings for publication. [Wk 7]
  • Competency A: Explain the nature of the quantitative research method. [Wk 7]

Findings, Conclusions and Publication

  • Competency A: Explain the nature of the quantitative research method. [Wk 8]
  • Competency B: Demonstrate understanding of research steps from identifying a research problem through to presenting research findings. [Wk 8]
  • Competency C: Apply an appropriate quantitative research design and analysis to a substantive area of interest. [Wk 8]
  • Competency D: Align inferential statistical procedures and data collection techniques with appropriate types of research designs. [Wk 8]
  • Competency E: Distinguish among types of variables and levels of measurement in an analysis. [Wk 8]
  • Competency F: Determine an appropriate population and sample within the area of study. [Wk 8]
  • Competency G: Evaluate the reliability and validity of instrumentation and the need to pilot test new or modified instruments. [Wk 8]
  • Competency H: Evaluate the threats to internal and external validity in research studies. [Wk 8]
  • Competency I: Demonstrate understanding of how to present research findings for publication. [Wk 8]

Review of General Research Steps and Quantitative Designs

  • Competency A: Explain the nature of the quantitative research method. [Wk 1]
  • Competency B: Demonstrate understanding of research steps from identifying a research problem through to presenting research findings. [Wk 1]
  • Competency C: Apply an appropriate quantitative research design and analysis to a substantive area of interest. [Wk 1]
  • Competency D: Align inferential statistical procedures and data collection techniques with appropriate types of research designs. [Wk 1]
  • Competency E: Distinguish among types of variables and levels of measurement in an analysis. [Wk 1]
  • Competency F: Determine an appropriate population and sample within the area of study. [Wk 1]
  • Competency G: Evaluate the reliability and validity of instrumentation and the need to pilot test new or modified instruments. [Wk 1]
  • Competency H: Evaluate the threats to internal and external validity in research studies. [Wk 1]
  • Competency I: Demonstrate understanding of how to present research findings for publication. [Wk 1]

Research Design, Analysis, and Hypotheses

  • Competency A: Explain the nature of the quantitative research method. [Wk 2]
  • Competency B: Demonstrate understanding of research steps from identifying a research problem through to presenting research findings. [Wk 2]
  • Competency C: Apply an appropriate quantitative research design and analysis to a substantive area of interest. [Wk 2]
  • Competency D: Align inferential statistical procedures and data collection techniques with appropriate types of research designs. [Wk 2]
  • Competency E: Distinguish among types of variables and levels of measurement in an analysis. [Wk 2]
  • Competency F: Determine an appropriate population and sample within the area of study. [Wk 2]
  • Competency G: Evaluate the reliability and validity of instrumentation and the need to pilot test new or modified instruments. [Wk 2]
  • Competency H: Evaluate the threats to internal and external validity in research studies. [Wk 2]
  • Competency I: Demonstrate understanding of how to present research findings for publication. [Wk 2]

Sampling, Instrumentation, and Data Collection

  • Competency A: Explain the nature of the quantitative research method. [Wk 3]
  • Competency B: Demonstrate understanding of research steps from identifying a research problem through to presenting research findings. [Wk 3]
  • Competency C: Apply an appropriate quantitative research design and analysis to a substantive area of interest. [Wk 3]
  • Competency D: Align inferential statistical procedures and data collection techniques with appropriate types of research designs. [Wk 3]
  • Competency E: Distinguish among types of variables and levels of measurement in an analysis. [Wk 3]
  • Competency F: Determine an appropriate population and sample within the area of study. [Wk 3]
  • Competency G: Evaluate the reliability and validity of instrumentation and the need to pilot test new or modified instruments. [Wk 3]
  • Competency H: Evaluate the threats to internal and external validity in research studies. [Wk 3]
  • Competency I: Demonstrate understanding of how to present research findings for publication. [Wk 3]

Instrumentation Reliability, and Validity

  • Competency A: Explain the nature of the quantitative research method. [Wk 4]
  • Competency B: Demonstrate understanding of research steps from identifying a research problem through to presenting research findings. [Wk 4]
  • Competency C: Apply an appropriate quantitative research design and analysis to a substantive area of interest. [Wk 4]
  • Competency D: Align inferential statistical procedures and data collection techniques with appropriate types of research designs. [Wk 4]
  • Competency E: Distinguish among types of variables and levels of measurement in an analysis. [Wk 4]
  • Competency F: Determine an appropriate population and sample within the area of study. [Wk 4]
  • Competency G: Evaluate the reliability and validity of instrumentation and the need to pilot test new or modified instruments. [Wk 4]
  • Competency H: Evaluate the threats to internal and external validity in research studies. [Wk 4]
  • Competency I: Demonstrate understanding of how to present research findings for publication. [Wk 4]

Analysis and Findings

  • Competency A: Explain the nature of the quantitative research method. [Wk 5]
  • Competency B: Demonstrate understanding of research steps from identifying a research problem through to presenting research findings. [Wk 5]
  • Competency C: Apply an appropriate quantitative research design and analysis to a substantive area of interest. [Wk 5]
  • Competency D: Align inferential statistical procedures and data collection techniques with appropriate types of research designs. [Wk 5]
  • Competency E: Distinguish among types of variables and levels of measurement in an analysis. [Wk 5]
  • Competency F: Determine an appropriate population and sample within the area of study. [Wk 5]
  • Competency G: Evaluate the reliability and validity of instrumentation and the need to pilot test new or modified instruments. [Wk 5]
  • Competency H: Evaluate the threats to internal and external validity in research studies. [Wk 5]
  • Competency I: Demonstrate understanding of how to present research findings for publication. [Wk 5]

Methodological Rigor

  • Competency A: Explain the nature of the quantitative research method. [Wk 6]
  • Competency B: Demonstrate understanding of research steps from identifying a research problem through to presenting research findings. [Wk 6]
  • Competency C: Apply an appropriate quantitative research design and analysis to a substantive area of interest. [Wk 6]
  • Competency D: Align inferential statistical procedures and data collection techniques with appropriate types of research designs. [Wk 6]
  • Competency E: Distinguish among types of variables and levels of measurement in an analysis. [Wk 6]
  • Competency F: Determine an appropriate population and sample within the area of study. [Wk 6]
  • Competency G: Evaluate the reliability and validity of instrumentation and the need to pilot test new or modified instruments. [Wk 6]
  • Competency H: Evaluate the threats to internal and external validity in research studies. [Wk 6]
  • Competency I: Demonstrate understanding of how to present research findings for publication. [Wk 6]

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