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.
Ethical Issues Related to Educational Research
- Examine the ethical ramifications of using the Internet to transport and store school, student/employee, and personal data.
- Examine ethical considerations when publishing reports of a research study.
- Define ethics in relation to educational research.
- Analyze the impact of technology on the ethical practice of research.
- Examine the need for ethics in educational research.
- Analyze examples of research involving legal, ethical, or human relation issues.
- Examine the elements of the American Psychological Association’s (APA) written code of ethics.
- Outline guidelines for conducting research using human subjects.
Organizing, Analyzing, and Interpreting Data
- Identify various rationales for conducting quantitative or qualitative research in educational settings.
- Define quantitative research.
- Examine the role of a hypothesis in quantitative research.
- Define qualitative research.
- Analyze the significance of various sampling methods in quantitative research.
- Compare and contrast methods of collecting different types of data in quantitative research.
- Construct varied non-parametric and parametric charts and graphs using computer software.
- Examine the purpose of descriptive statistics.
- Review the elements of effective tables, charts, and graphs.
- Analyze uses for z-scores when conducting quantitative research.
- Examine the use of correlational statistics in quantitative research.
- Identify appropriate calculations for central tendency, variability, and skewness.
- Identify the rationale for using null and alternative hypotheses.
- 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.
Qualitative Research in Education
- Examine the role of problem formulation in qualitative research.
- Analyze methods of collecting data in qualitative research.
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