Page 337 - Contributed Paper Session (CPS) - Volume 4
P. 337

CPS2253 Gabrielle Palermo
               The GWSM can be applied at Geres’s data to estimate weights for all waves.
               The links between the base wave b and a given next wave t could be
                                                  (b)
               represented by li,kj, where pupil i ∈ U and pupils j of school   . The
               GWSM steps are:

                                                                       (t)
               Stage 1: Compute the initial weight  , given school k ∈ Ω .
                              (t)
                     (t)
               And Ω = {j ∈ U | ∃i ∈ s and Li,k > 0}:
                                      b
                                                                                      (0.1)

               Where:

                          (b)
               ti = 1 if i ∈ s , and 0 otherwise. li,kj = 1 if pupil i ∈ U (b)
               corresponds to pupil        , and 0 otherwise.


                                                                   (t)
                   Stage 2:  Sum of the links into each school k ∈ Ω :


                                                                                      (0.2)



                   Stage 3:   The final weight    is:


                                                                                      (0.3)

               Where:            for all pupil     .
                                                       (t)
               Therefore, the estimated total of pupils Y  with a given characteristics is:








                                                                                                      (0.4)

               3.  Result
                   The estimations weights for wave 4 were computed for schools, having the
               population U1 as the base. The same calculations were done, but now having
               as base the estimation weights of wave 3.
                   The figures 2 and 3 show the first results. The sampling weights are quite
               different from the estimation weights.



                                                                  326 | I S I   W S C   2 0 1 9
   332   333   334   335   336   337   338   339   340   341   342