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An IERI – International Educational Research Institute Journal

Table 4 – Continuous time model parameter estimates for math and reading

From: Dynamics between reading and math proficiency over time in secondary education – observational evidence from continuous time models

Parameter

Estimate

SE

Auto effect

areading

-4.54

1.405

 

amath

-1.47

0.230

Cross effect

areading\(\to\)math

1.84

0.680

 

amath\(\to\)reading

1.14

0.413

Diffusion variance

\({\sigma }_{reading}^{2}\)

5.49

1.688

 

\({\sigma }_{math}^{2}\)

0.91

0.093

Diffusion covariance

\({\sigma }_{reading\leftrightarrow math}^{2}\)

− 0.99

0.428

Intercepts\({t}_{0}\)

breading

0.27

0.014

 

bmath

0.28

0.014

Linear trend

trreading

0.25

0.002

 

trmath

0.33

0.002

Variance traits

\({\psi }_{reading}\)

0.98

0.021

 

\({\psi }_{math}\)

1.06

0.022

Covariance traits

\({\psi }_{reading\leftrightarrow math}\)

0.86

0.019

  1. Notes: N = 7639.