This course comprehensively introduces quantitative research methods, the skills to conduct survey research, and the knowledge to produce descriptive and analytical reports that meet the guidelines and expectations of professional practitioners in the field. Students explore various statistical procedures, starting from descriptive statistics, correlation, and graphical representation of data to inferential techniques, analysis of variance, and beyond, and practice using SPSS and R to manage data and generate statistical analysis reports. The course covers ethical considerations in quantitative data collection, data equity, and equity-impacting decision points in data projects. Using practical applications and real-world examples, students are guided through these topics in an informative and approachable manner to make this often-intimidating subject more accessible.

Sample topics throughout the course include:

  • Introduction to quantitative research
  • Sampling and questionnaire design
  • Collecting and managing quantitative data
  • Measures of central tendency
  • Correlations
  • T-test and analysis of variance
  • Regression analysis

Examples of assignments include:

  • Research project using an organization in students’ communities
  • Data collection plan
  • Working with variables
  • Data analysis and visualization
  • Regression analysis

Course Outcomes

Upon completing this course, you should be able to:

  • Differentiate between different types of quantitative research.
  • Identify and describe the different types of validity and reliability.
  • Develop and test a hypothesis using quantitative research methods.
  • Apply various descriptive and inferential statistics.
  • Use statistical software for data management, analysis, and presentation of findings.
  • Evaluate different strategies to analyze quantitative data.
  • Comprehend the importance of ethical considerations related to the collection of quantitative data.

Click here for the official course description from the American University Catalog.

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