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Table 5 Parameter estimates of 2‑group latent basis growth mixture model

From: Analysis of heterogeneous growth changes in longitudinal height of children

 

Group 1

Group 2

 

Estimate

SE

CR

p

Estimate

SE

CR

p

Latent variable means

        

 Intercept mean \(\left( {\alpha_{\mu } } \right)\)

72.632

0.143

508.509

***

72.745

0.266

273.412

***

 Slope \(\left( {\beta_{\mu } } \right)\)

6.274

0.015

412.753

***

5.919

0.025

234.251

***

Time-invariant covariate

        

 Intercept < –- Gender (Female)

 − 2.12

0.144

 − 14.71

***

 − 1.661

0.248

 − 6.695

***

 Slope < –- Gender (Female)

 − 0.178

0.015

 − 11.481

***

 − 0.071

0.024

 − 3.023

0.003

Country < –- Ethiopia (Reference group)

     

 Intercept < –- India

0.01

0.181

0.057

0.954

1.286

0.295

4.359

***

 Intercept < –- Peru

 − 0.61

0.189

 − 3.237

0.001

0.723

0.284

2.547

0.011

 Intercept < –- Vietnam

 − 0.216

0.184

 − 1.171

0.241

1.128

0.278

4.059

***

 Slope < –- India

 − 0.146

0.019

 − 7.537

***

 − 0.117

0.028

 − 4.168

***

 Slope < –- Peru

0.043

0.02

2.109

0.035

0.07

0.027

2.582

0.01

 Slope < –- Vietnam

0.092

0.02

4.631

***

0.171

0.026

6.494

***

Latent variance–covariance

        

 Intercept variance

11.934

0.435

27.427

***

14.232

0.699

20.368

***

 Slope variance

0.136

0.005

27.699

***

0.127

0.006

21.32

***

 Intercept < –- Slope

 − 0.045

0.036

 − 1.267

0.205

 − 0.184

0.052

 − 3.541

***

Slope factor loadings

        

 Time 1

0 (fixed)

   

0 (fixed)

   

 Time 2

5.189

0.009

590.018

***

5.765

0.013

440.033

***

 Time 3

7.718

0.009

895.078

***

8.543

0.013

633.347

***

 Time 4

11.032

0.009

1217.075

***

12.759

0.012

1032.696

***

 Time 5

14 (fixed)

   

14 (fixed)

   
  1. ***p < 0.0001