1
Introduction
2
Data Structure for LMM
2.1
Data Examples
2.2
Data source
2.3
Data levels
2.4
Illustration
3
Data: Systolic Blood Pressure
3.1
Experiment
3.2
Data description
3.3
Data structure
3.4
Data
4
Restructure Data
4.1
Data in wide format
4.2
Restructure data
4.3
Restructure data to long format
4.4
Restructure data using SPSS
5
Analysis of Paired Data
5.1
Research objective
5.2
Data
5.3
Data Summary: Plot
5.4
Data Summary: Table
5.5
Model equation
5.6
Hypothesis
5.7
Incorrect analysis: Summary
5.8
CORRECT analysis
5.9
Correct analysis: Summary
6
Analysis of Paired Data: Linear Mixed Model
6.1
Research objective
6.2
Data
6.3
Data Summary: Plot
6.4
Data Summary: Table
6.5
Model equation
6.6
Hypothesis
6.7
Incomplete analysis: Summary
6.8
Correct analysis
6.9
SPSS implementation
6.10
SPSS Syntax
6.11
Correct analysis: Summary
6.12
Outputs: Paired t-test
6.13
Explanation
7
Missing Data
7.1
Research objective
7.2
Data
7.3
Data Summary: Plot
7.4
Data Summary: Table
7.5
Model equation
7.6
Hypothesis
7.7
Paired t-test: SPSS Syntax
7.8
Paired t-test: Summary
7.9
LMM: SPSS Syntax
7.10
Linear mixed model: Summary
7.11
Explanation
8
Terminologies
8.1
Fixed factor
8.2
Fixed effect
8.3
Random factor
8.4
Random effect
8.5
Nested factors
8.6
Crossed factors
8.7
SBP Data
8.8
Linear Model
8.9
Linear Mixed Model
8.10
Other terminologies
8.11
Advantage of mixed model
9
Multiple Time Points
9.1
Research objective
9.2
Data
9.3
Data Summary: Plot
9.4
Data Summary: Table
9.5
Model equation
9.6
Hypothesis
9.7
SPSS: Menu
9.8
SPSS Syntax
9.9
Summary
9.10
Explanation
10
Two Groups at Multiple Times
10.1
Reearch objective
10.2
Data
10.3
Data Summary: Plot
10.4
Data Summary: Table
10.5
Model options
10.6
Model equation
10.7
Hypothesis
10.8
SPSS: Menu
10.9
SPSS Syntax
10.10
Summary
10.11
Estimates of variance
10.12
Model performance
10.13
Intraclass correlation (ICC)
10.14
Explanation
11
LMM: Overall Strategy
11.1
Research objective
11.2
Data
11.3
EDA: Summary & Plot
11.4
Model specification
11.5
Model fitting: SPSS
11.6
Final Model
11.7
Model diagnostics
11.8
Model evaluation
11.9
Report results
12
Linear Mixed Model: Review
Linear Mixed Model using SPSS
Linear Mixed Model using SPSS
Part 1: Focus
Mintu Nath
