• 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

Linear Mixed Model using SPSS

Part 2: Enhance

Mintu Nath