* user=**** * password=**** * package=spss * project=les set printback=listing . get file=sk95e . * Slovakia Example CAMSIS matching. * Current occ unit (isco88's 4 digit)=fj04. * (no role to empst for Slovak data). compute isco88=-999. if (fj04 > 0 & fj04 < 9400) isco88=fj04. temp. select if (fj04 > 0 & fj04 < 9400). means tables=isco88 by db02. sort cases by isco88 . sav out=cstemp . get file="u:/camsis/csskes95.sav" . descriptives var=all. sort cases by isco88 . match files table=* /in=csocc /file=cstemp /in=source /by=isco88 . fre var=csocc source. cro csocc by source. select if (source=1). * (this removes those iscobst values which are not * represented in the LES sample). cro source by db02. * Current values are within gender. * also can make a cross-gender CAMSIS variable : . compute cgentcs=-999. if (db02=1) cgentcs=mcam. if (db02=2) cgentcs=fcam. descriptives var=isco88 cgentcs siops isei . temp. select if (fj04 > 0 & fj04 < 9400). descriptives var=isco88 cgentcs siops isei . temp. select if (fj04 > 0 & fj04 < 9400 & siops > 0). descriptives var=isco88 cgentcs siops isei . * Quick assessment: compare values by an education recode. compute educ=et01. recode educ (1,2=1) (3,4,5,6 =2) (7,8=3). add value labels educ 1 "Primary or less" 2 "Intermediate" 3 "Degree level". variable label educ "education categories". select if (educ ge 1). *cro educ by et01. fre var=educ. temp. select if (fj04 > 0 & fj04 < 9400 & educ > 0). means tables= cgentcs siops isei by educ by db02 /statistics=anova. temp. select if (fj04 > 0 & fj04 < 9400 & siops > 0 & db02=1 & educ > 0). means tables= cgentcs siops isei by educ /statistics=anova. temp. select if (fj04 > 0 & fj04 < 9400 & siops > 0 & db02=2 & educ > 0). means tables= cgentcs siops isei by educ /statistics=anova. * . /* For interest here are the Eta-squared statistics with education from above: Men: CAMSIS : 0.441 SIOPS : 0.368 ISEI: 0.451 Women: CAMSIS : 0.486 SIOPS : 0.493 ISEI: 0.507 */