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An IERI – International Educational Research Institute Journal

Table 4 Weighting approaches for the simulation study and their application and formulas for the different levels of the hierarchies

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

Weighting approaches

School level

Student level

No weights

Unscaled weights

\({w}_{i}\)

\({w}_{ij}\)

Only student weights

 

\({w}_{ij}\)

Only school weights

\({w}_{i}\)

 

Scaled weights: Cluster

\({w}_{i}\)

\({w}_{ij }\frac{{n}_{i}}{\sum_{j=1}^{{n}_{i}}{w}_{ij}}\)

Scaled weights: ECluster

\({w}_{i}\)

\({w}_{ij }\frac{{{n}^{*}}_{i }}{\sum_{j=1}^{{n}_{i }}{w}_{ij}}\)

Withincluster weights

\({{w}_{i }}^{*}\)

\({{w}_{j }}^{*}\)

House weights

 

\({w}_{ij }\frac{n}{\sum_{j=1}^{n}{w}_{ij}}\)

Clustersum

\(\sum_{j=1}^{{n}_{i}}{w}_{ij}\)

\({w}_{ij }\frac{{n}_{i}}{\sum_{j=1}^{{n}_{i}}{w}_{ij}}\)

  1. Weighting parameters are \({w}_{i}\) = final school weights, \({w}_{ij}\) = final student weights, \({n}_{i}\) = number of sampled students in a school,  \({{n}^{*}}_{i}\) = number of assessed students in a school, \(n\) = number of assessed students from all schools and \({w}_{j}\)= final within school weights