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Important: For the most up-to-date information, refer to the official George Mason Course Catalog

General Information

Credits: 3

Description:

Analyzes nested data structures (e.g. students within classrooms) as well as student growth. Students will learn through reading assignments, lecture and applications using a computer program for data analysis. Students will be expected to critically read multilevel methods used in published research, analyze data, and provide written report of results in APA format. Offered by School of Education. May not be repeated for credit.
Registration Restrictions:

Required Prerequisites: EDRS 821B- or 821XS.
B- Requires minimum grade of B-.
XS Requires minimum grade of XS.

Enrollment is limited to Graduate level students.

Schedule Type: Lecture
Grading:
This course is graded on the Graduate Regular scale.

Semesters taught: Fall

Current Sections

This course is not offered this semester.

Prior Sections (partial list)
  • Spring 2023, Section: 001, CRN 21643, Format: Face-to-Face, Instructor: Angela Miller
  • Fall 2021, Section: 001, CRN 83019, Format: Face-to-Face, Instructor: Angela Miller
  • Spring 2020, Section: 001, CRN 20363, Format: Face-to-Face, Instructor: Angela Miller
  • Spring 2018, Section: 001, CRN 20267, Format: Face-to-Face, Instructor: Angela Miller
  • Spring 2016, Section: 001, CRN 17360, Instructor: Angela Miller
  • Fall 2013, Section: 001, CRN 77932, Instructor: Angela Miller