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An IERI – International Educational Research Institute Journal

Table 9 Application PISA 2015 Data – Model 2 \({y}_{ij}={\beta }_{0}+ {\beta }_{1}*{x}_{ij}+ {\tau }_{i}+ {\varepsilon }_{ij}\)

From: Sampling weights in multilevel modelling: an investigation using PISA sampling structures

 

\(\widehat{{\beta }_{0}}\)

SE \(\widehat{{\beta }_{0}}\)

\(\widehat{{\beta }_{1}}\)

SE \(\widehat{{\beta }_{1}}\)

\(\widehat{{\sigma }_{\varepsilon }^{2}}\)

SE \(\widehat{{\sigma }_{\varepsilon }^{2}}\)

\(\widehat{{\sigma }_{\tau }^{2}}\)

SE \(\widehat{{\sigma }_{\tau }^{2}}\)

SAS

 No weights

509.57

4.06

15.87

1.21

5233.28

112.71

2670.31

181.69

 Unscaled weights

484.76

5.14

11.31

1.54

4990.11

131.10

2239.82

143.37

 Only school weights

487.12

5.02

13.62

1.37

5246.73

125.43

4149.08

414.42

 Only student weights

507.36

4.20

13.12

1.20

5049.22

111.51

2229.14

125.10

 Withincluster weights

487.64

4.96

13.96

1.19

5159.23

113.60

4219.66

404.56

 Scaled weights: cluster

487.12

5.02

13.62

1.37

5246.73

125.43

4149.08

414.42

 Scaled weights: ECluster

487.12

5.02

13.62

1.37

5246.73

125.43

4149.08

414.42

 Clustersum

505.08

4.26

15.28

1.25

5300.05

116.11

3880.08

333.45

 House weights

508.83

4.10

15.26

1.24

5293.84

117.33

3886.28

325.77

Mplus

 No weights

509.19

4.10

15.10

1.20

5313.87

116.12

3876.26

324.59

 Unscaled weights

487.20

4.99

13.60

1.37

5247.64

125.27

4141.49

411.45

 Only school weights

487.11

5.01

13.61

1.37

5246.64

125.17

4151.67

414.03

 Only student weights

509.15

4.10

15.12

1.21

5316.13

116.62

3877.56

325.67

 Withincluster weights

487.11

5.01

13.61

1.37

5246.64

125.17

4151.67

414.03

 Scaled weights: cluster

487.20

4.99

13.60

1.37

5247.64

125.27

4141.49

411.45

 Scaled weights: ECluster

487.22

4.99

13.61

1.37

5248.73

125.38

4137.74

410.98

 Clustersum

506.06

4.18

15.41

1.24

5304.56

116.65

3816.42

323.59

 House weights

509.19

4.10

15.10

1.20

5313.87

116.12

3876.26

324.59

  1. Classifying the results of the simulation study to application data, the different weighting approaches combined with different estimation algorithms implemented in the two examined software packages are displayed