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Virginia Tech

EDRE-6694: Hierarchical Linear Modeling

Description: Provides a conceptual framework of hierarchical linear modeling (HLM), some important statistical theory behind the HLM, and hands-on training for applying HLM technique through analyzing example data sets and projects. The course includes the formulation of statistical models for typical applications such as two-level organizational study, two-level growth model, and three-level growth model within contexts and prepares students to be able to use multilevel analysis to address research questions in their fields and write coherent summaries and interpretations of the results.

Pathways: N/A

Course Hours: 3 credits

Prerequisites: EDRE-6634

Required By: N/A

Corequisites: N/A

Crosslist: N/A

Repeatability: N/A

Sections Taught: 5

Average GPA: 3.90 (rounds to A)

Strict A Rate (No A-) : 71.64%

Average Withdrawal Rate: 0.00%

Yasuo Miyazaki202497.2%2.9%0.0%0.0%0.0%0.0%3.905

Grade Distribution Over Time

1234GPA
Fall 2019Fall 2020Fall 2021Fall 2022Fall 2024Term050% W