1 SPSS MACROS FOR COMPUTING STANDARD ERRORS WITHOUT PLAUSIBLE VALUES.

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Presentation transcript:

1 SPSS MACROS FOR COMPUTING STANDARD ERRORS WITHOUT PLAUSIBLE VALUES

Pseudo- stratum SchoolR1R2R3R4R5R6R7R PISA Replication methods for multistage sample : Fays method Computation of Standard Errors 2

PISA2009 SAS student data file Computation of Standard Errors Student Final Weight : W_FSTUWT 80 replicates : W_FSTR1 to W_FSTR80 3

How to weight the data in SPSS? Computation of Standard Errors 4

How to weight the data in SPSS? SPSS uses as denominator for estimating STD 5

Computation of Standard Errors … Computation of statistic for the 80 replicates … 6

Computation of Standard Errors 7

Structure of SPSS macros for the computation of SE: – Selection of variables (DEP=) – Iteration of the SPSS procedure on the final weight and 80 (default) replicates (NREP=) – Data files manipulation and computation of the SE – Computation of limits if required – Selection of statistics (STAT=) Computation of Standard Errors 8

9

Use of the limit criteria – Number of students – Number of schools – Number of variables of the BYVAR statement for defining the population of reference Computation of Standard Errors 10

Computation of Standard Errors StdDev and SE of HISEI by CNT and Gender 11

Computation of Standard Errors 12

SPSS macros for: – Univariate statistics Means (MCR_SE_UNIV) Percentages (MCR_SE_GrpPct) – Multivariate statistics Correlation (MCR_SE_COR) Regression (MCR_SE_REG) Computation of Standard Errors 13

Computation of Standard Errors Percentage of students by grade (ST01Q01) within Country and Gender categories 14

Computation of Standard Errors Percentage of students by grade (ST01Q01) within countries and Gender categories 15

Computation of Standard Errors Correlation between ESCS and MATHEFF by gender 16

Computation of Standard Errors

Computation of Standard Errors ♀ ♂ 18