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Advanced Statistics

Offerings:
Course GEDU 707 | Every fall semester.

Prerequisites:
Course GEDU 706 | Applied Educational Statistics
Course GEDU 708 | Research Methods in Education

Catalog Description:

General Education course descriptions in the USF General Catalog online.

Purpose:

This course is developed with an emphasis on conceptual understanding and logic for students without extensive mathematical background. Students should be able to approach advanced data analysis from a consumer's perspective, not from a computational perspective.

The main focus is on the ability to communicate results of data that have been analyzed. Students will be provided computer output as a basis for writing of the results. These writeups are to be in APA format (if required by the students' department for the dissertation) or Turabian. Please note that all tables will be in standard format as found in most research journals.

Objectives or Outcomes:

  1. Understand the basic concepts necessary for performing and interpreting advanced statistical methods.
  2. Apply these procedures to a body of data in an appropriate manner.
  3. Review and evaluate the statistical techniques used to analyze data found in journal articles.
  4. Interpret computer output resulting from data analysis using advanced techniques.
  5. Write up the results of data analyses resulting from advanced statistical techniques.
  6. Develop an understanding of statistical theory and procedures as a foundation for future study and research.
  7. Write results of statistical analyses evidencing statistical reasoning, and educational and practical interpretation.

Criteria of Course Completion:

Three or four take-home exercises will be assigned throughout the semester. These will give you the opportunity to apply the concepts learned in class and will involve the writing up of a results and discussion section of a journal article in APA format.

Possible Course Textbooks:

Grimm, L.G. & Yarnold, P.R. (Eds.) (1995). Reading and understanding multivariate statistics. Washington, DC: American Psychological Association.

Huck, S.W. & Cormier, W.H. (1996). Reading statistics and research (2nd ed.). New York: Harper Collins College Publishers.

Tabachnick, B.G. & Fidell, L. S. (1996). Using multivariate statistics (3rd ed.). New York: Harper Collins College Publishers.

Toothaker, L. E. (1991). Multiple comparisons for researchers. Newbury Park, CA: Sage Publications, Inc.

Williams, F. (1992). Reasoning with statistics: How to read quantitative research (4th ed.). New York: Holt, Rinehart, and Winston.