** MDA ASSIGNMENT #1 **. GET FILE='U:\)Research\ISSP20072008\issp_2007_2008nl_def.sav'. desc age gender. freq z06a1 z34a. comp female=gender-1. recode z34a (1=0)(2=400)(3=800)(4=1150)(5=1450)(6=1750)(7=2150)(8=2700)(9=3500)(10=4500)(11=5500) into pinc. ** IT IS SOMEWHAT ARBITRARY HOW TO SCALE THE OPEN CATEGORY 11 **. freq female age educ pinc. ** B. SELECTING THE EFFECTIVE SAMPLE **. desc female age educ pinc. select if (age ge 25 and age le 64). desc female age educ pinc. select if (educ ge 0). desc female age educ pinc. select if (pinc ge 0). desc female age educ pinc. ** C: Making categorical variables **. recode age (25 thru 34=30)(35 thru 44=40)(45 thru 54=50)(55 thru 64=60) into agecat. recode Z06a1 (1 2 3 6=0)(4 5 7=.5)(8 9=1) into educat. format educat (F4.1). add value labels educat (0) Low (.5) Middle (1) High. cross z06a1 by educat / age by agecat / Z34a by pinc. ** D: ANALYSIS PINC*EDUCAT USING CONDITIONAL MEANS **. means pinc by educat / pinc by agecat by educat /pinc by female by agecat by educat . ** F: ANALYSIS PINC*AGECAT USING CONDITIONAL MEANS **. means pinc by agecat / pinc by educat by agecat /pinc by female by educat by agecat . ** GH: ESTIMATED MARGINAL MEANS **. UNIANOVA pinc BY educat agecat female /EMMEANS=TABLES(educat) /EMMEANS=TABLES(agecat) /print=param /DESIGN=educat agecat female . ** Notice that in particular the age differences in income become larger when we control educat **. ** The EDUCAT also become (slightly) larger when controlling age. ** AGECAT is s suppressor variable **.