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Measurement, Evaluation, And Ethics In Research –

qnt575

(2 credits)

This course introduces the purpose of statistics as applied in educational research. Inferential and descriptive measures are examined, and methods for evaluating and analyzing data are discussed. Students will identify ethical issues related to research, including basic theory and practice, professional codes of ethics, governmental regulations, confidentiality, and research using human subjects. The information presented in this course will be implemented via individual action research projects.
This graduate-level course is 4 weeks. To enroll, speak with an Enrollment Advisor.
  • Ethical Issues Related to Educational Research

    • Examine the ethical ramifications of using the Internet to transport and store school, student/employee, and personal data.
    • Analyze the impact of technology on the ethical practice of research.
    • Examine ethical considerations when publishing reports of a research study.
    • Outline guidelines for conducting research using human subjects.
    • Examine the elements of the American Psychological Association’s (APA) written code of ethics.
    • Analyze examples of research involving legal, ethical, or human relation issues.
    • Examine the need for ethics in educational research.
    • Define ethics in relation to educational research.
  • Qualitative Research in Education

    • Analyze methods of collecting data in qualitative research.
    • Examine the role of problem formulation in qualitative research.
  • Inferential Statistics

    • Analyze data using the Microsoft® Excel® program for t-test, regression, and chi-square.
    • Determine the appropriate use of the following statistical procedures for various research purposes:  t-test, one-way ANOVA, regression, and chi-square.
    • Identify the rationale for using null and alternative hypotheses.
  • Descriptive Statistics

    • Construct varied non-parametric and parametric charts and graphs using computer software.
    • Examine the use of correlational statistics in quantitative research.
    • Analyze uses for z-scores when conducting quantitative research.
    • Review the elements of effective tables, charts, and graphs.
    • Identify appropriate calculations for central tendency, variability, and skewness.
    • Examine the purpose of descriptive statistics.
  • Organizing, Analyzing, and Interpreting Data

    • Compare and contrast methods of collecting different types of data in quantitative research.
    • Analyze the significance of various sampling methods in quantitative research.
    • Examine the role of a hypothesis in quantitative research.
    • Define qualitative research.
    • Define quantitative research.
    • Identify various rationales for conducting quantitative or qualitative research in educational settings.

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