1
Introduction
2
LMM: Overall Strategy
2.1
Research objective
2.2
Data
2.3
EDA: Sumnmary & Plot
2.4
Model specification
2.5
Model fitting: SPSS
2.6
Final Model
2.7
Model diagnostics
2.8
Model evaluation
2.9
Report results
3
LMM: Research Problem
3.1
Research objective
3.2
Data
4
LMM: EDA
4.1
EDA: Plots
4.2
EDA: Summary Table
5
LMM: Model Equation
5.1
Model equation
5.2
Hypothesis
6
LMM: Inputs
6.1
SPSS: Menu
6.2
SPSS: Script
6.3
Summary
7
LMM: Outputs
7.1
SPSS Summary
8
LMM: Model Selection
8.1
Model selection: Random effects
8.2
Model selection: Fixed effects
8.3
Points to note
9
Final LMM: Inputs
9.1
Final Model
9.2
SPSS: Menu
9.3
SPSS: Script
10
Final LMM: Diagnostics
10.1
Model assumptions
10.2
SPSS inputs
10.3
SPSS: Script
10.4
Model outputs
10.4.1
Histogram of residuals
10.4.2
Q-Q plot of residuals
10.4.3
Plot of residuals against fitted values
10.4.4
Q-Q plot of random effects
11
Final LMM: Summary
11.1
SPSS: Script
11.2
SPSS Summary
11.3
ICC
11.4
Interpretation of results
12
Final LMM: Reporting
13
Linear Mixed Model: Review
Linear Mixed Model using SPSS
7
LMM: Outputs
7.1
SPSS Summary
