qnt575 | Graduate
Measurement, Evaluation, And Ethics In Research
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- 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.
- 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.
- 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.
Ethical Issues Related to Educational 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.
- 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.
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.
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