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Table 2 Summary for two-step cluster analysis

From: A cross sectional study on the motivators for Asian women to attend opportunistic mammography screening in a private hospital in Malaysia: the MyMammo study

Model

Exclusiona

Number of Clusters

Schwarz's Bayesian Criterion (BIC)

Cluster quality

Full model

None

4

18827.990

Poor

Model 1

Exclude smoking status

2

18959.512

Fair

Model 2

Exclude age at menarche

5

16456.869

Poor

Model 3

Exclude oral contraceptive status

2

16212.759

Fair

Model 4

Exclude Gynaecology surgery status

2

15089.163

Fair

Model 5

Exclude ethnicity

3

12973.058

Fair

Model 6

Exclude parity status

2

13416.631

Fair

Model 7

Exclude menopausal status include parity

3

13372.869

Fair

Model 8

Exclude menopausal status

3

13453.375

Fair

  1. aFull model consists of all variables in Table 1, mammography history, age at first screening and motivators for attending screening. Model 1 – Model 8: sequentially excluding variables with least association with mammography history