1 Introduction
2 Random Coefficients Model
- 2.1 Research objective
- 2.2 Data
3 Random Coefficients Model: EDA
- 3.1 EDA: Plots
- 3.2 EDA: Summary Table
4 Random Coefficients Model: Equation
- 4.1 Model equation
- 4.2 Hypothesis
5 Random Coefficients Model 1
- 5.1 MODEL 1
  - 5.1.1 SPSS: Menu
  - 5.1.2 SPSS: Script
6 Random Coefficients Model 1: Summary
- 6.1 Model 1: Summary
7 Random Coefficients Model 2
- 7.1 MODEL 2
- 7.2 SPSS: Menu
  - 7.2.1 SPSS: Script
8 Random Coefficients Model 2: Summary
- 8.1 Model 2: Summary
- 8.2 Interpretation
9 Linear Mixed Model: Final Model
10 LMM: Covariance Structure - Overview
- 10.1 Introduction
- 10.2 Covariance Structure
11 Covariance Structure: Research Objective
- 11.1 Research objective
- 11.2 Data
12 Covariance Structure: EDA
- 12.1 EDA: Plots
- 12.2 EDA: Summary Table
13 Covariance Structure: Model Equation
- 13.1 Model equation
14 Covariance Type: Unstructured
15 Covariance Type: Diagonal
16 Covariance Type: Compound Symmetry
17 Covariance Type: Compound Symmetry Heterogeneous
18 Covariance Type: First-order Autoregressive
19 Covariance Type: First-order Autoregressive Heterogeneous
20 Covariance Structure: Final Model
21 Linear Mixed Model: Review

Linear Mixed Model using SPSS

Part 3: Enhance Further

Mintu Nath