EDRE-6674: Longitudinal Data Analysis
Description: Formulate research questions. Identify appropriate models for questions. Selecting, modeling, data analysis, interpretation, and presentation of the advanced methods of Longitudinal Data Analysis (LDA). Growth model in hierarchical linear modeling (HLM) or multilevel modeling; Latent curve models in structural equation modeling (SEM); Econometric fixed effects models. Research report strategies and styles.
Pathways: N/A
Course Hours: 3 credits
Corequisites: N/A
Crosslist: N/A
Repeatability: N/A
Sections Taught: 3
Average GPA: 3.95 (A)
Strict A Rate (No A-) : 89.30%
Average Withdrawal Rate: 0.00%
| Yasuo Miyazaki | 2024 | 97.6% | 2.4% | 0.0% | 0.0% | 0.0% | 0.0% | 3.95 | 3 |