*** Replication syntax *** * set the directory * cd "" use ZA7500_v4-0-0.dta * select the Italian sample keep if country==380 * frequency distributions of the item of the battery of social distance fre v22 v23 v25 v26 v28 v29 v30 * recoding items: missing cases and not mentioned equal to zero recode v22 v23 v25 v26 v28 v29 v30 (2 = 0) (-1 -2 =0), gen (razza alcool tossico omosex musulmani ebrei zingari) tab1 razza-zingari tab1 razza-zingari, miss * recoding manipulated item: missing cases equal to zero recode v24 v24a_IT v24b_IT (2 = 0) , gen (immlav lavstra immigrati) tab1 immlav lavstra immigrati tab1 razza-zingari immlav * generating new variables: missing cases and not mentioned equal to zero gen immlav0 = immlav replace immlav0=0 if f24_IT==1 & (immlav==-1 | immlav==-2) gen lavstra0 = lavstra replace lavstra0=0 if f24_IT==2 & (lavstra==-1 | lavstra==-2) gen immigrati0 = immigrati replace immigrati0=0 if f24_IT==3 & (immigrati==-1 | immigrati==-2) * variabile di servizio recode immlav0 (-4=0), gen (immlav1) recode lavstra0 (-4=0), gen (lavstra1) recode immigrati0 (-4=0), gen (immigrati1) * generating a single item gen var = immlav1 + lavstra1 + immigrati1 * Comparing the frequency distribution of the manipulated item by experimental condition tab f24_IT var, row chi /* contingency table and chi-test of indipendence */ prtest var if f24_IT!=2, by(f24_IT) /* z-test between two proportions: "immigrants/foreign workers" vs "immigrants" */ prtest var if f24_IT!=3, by(f24_IT) /* z-test between two proportions: "immigrants/foreign workers" vs "foreign workers" */ prtest var if f24_IT!=1, by(f24_IT) /* z-test between two proportions: "immigrants" vs "foreign workers" */ * recode the variable indicating the experimental condition for a better graphical representation of the * percentage of "mentioned" answers to the manipulated item by experimental condition recode f24_IT (1=2) (2=1) (3=3), gen(exp) label define exp 2 "immigrants/foreign workers" 1 "foreign workers" 3 "immigrants" label values exp exp fre exp logit var i.exp margins, at (exp=(1 2 3)) marginsplot /* Figure A1: later edited with Graph Editor */ * RANDOMIZATION CHECKS: Table A1 * gender tab v225 f24_IT , col chi nof * education * recode missing recode v243_r (-2=.), gen(edu3) label values edu3 v243_r tab edu3 f24_IT if edu3>0, col chi nof * age recode age_r3 (1 2 =1) (3 4= 2)(5 6 7=3), gen(age3) label define age3 1 "18-34" 2 "35/54" 3 "55 and more" label values age3 age3 tab age3 f24_IT, col chi nof * sx/dx recode v102 (1/3= 1 "sx")(4 5 = 2 "csx")(6 7 = 3 "cdx")(8 9 10 = 4 "dx") (-2 -1 = 5 "dk/da"), gen (sxdx) tab sxdx f24_IT, col chi nof * area recode v275c_N1 (38012 38017= 1 "Nord") (38018=2 "Centro")(38016 38015=3 "Sud e Isole"), gen (zona3) tab zona3 f24_IT, col chi nof ******** Comparing IRT Anlysis with 2 parameters and IRT Anlysis with 1 parameters * Immigrants/foreign workers irt 1pl razza alcool tossico omosex musulmani ebrei zingari var if f24_IT==1 estimates store rasch irt 2pl razza alcool tossico omosex musulmani ebrei zingari var if f24_IT==1 estimates store duepl irtgraph icc, blocation lrtest rasch duepl /* 2pl is preferrable */ * Foreign workers irt 1pl razza alcool tossico omosex musulmani ebrei zingari var if f24_IT==2 estimates store rasch irt 2pl razza alcool tossico omosex musulmani ebrei zingari var if f24_IT==2 estimates store duepl irtgraph icc, blocation lrtest rasch duepl /* 2pl is largely preferrable */ * Immigrants irt 1pl razza alcool tossico omosex musulmani ebrei zingari var if f24_IT==3 estimates store rasch irt 2pl razza alcool tossico omosex musulmani ebrei zingari var if f24_IT==3 estimates store duepl irtgraph icc, blocation ******** Multi-group IRT Analysis * Immigrants/foreign workers vs Immigrants: Table 1 irt 2pl razza alcool tossico omosex musulmani ebrei zingari var if f24_IT!=3, group(f24_IT) irtgraph icc, blocation estimates store nodif estat greport irt (2pl razza alcool tossico omosex musulmani ebrei zingari) (1: 2pl var) (2: 2pl var) if f24_IT!=3, group(f24_IT) estimates store difq4 estat greport lrtest nodif difq4 * Immigrants/foreign workers vs foreugn workers: Table 2 irt 2pl razza alcool tossico omosex musulmani ebrei zingari var if f24_IT!=2, group(f24_IT) estimates store nodif estat greport irt (2pl razza alcool tossico omosex musulmani ebrei zingari) (1: 2pl var) (3: 2pl var) if f24_IT!=2, group(f24_IT) estimates store difq4 estat greport lrtest nodif difq4 ********* Analysing the heterogeneity of the effects of the experimental condition on the item distribution by socio-demographics and ideology ***** * Five different logistic regression models in which the dependent variable is the dichotomous answer * to the item of social distance and the main independent variable is the interaction term between * the experimental condition and each of those variables (gender, age, level of education, geographical area and left-right orientation) * by controlling for the remaining four variables * Multivariate logistic regressions for Table A2 and A3 logit var i.f24_IT##i.v225 i.age3 i.edu3 i.zona3 i.sxdx outreg2 using socdist1.xls, excel dec(2) replace margins, dydx (f24_IT) at (v225=(1 2)) logit var i.f24_IT##i.age3 i.v225 i.edu3 i.zona3 i.sxdx outreg2 using socdist1.xls, excel dec(2) margins, dydx (f24_IT) at (age3=(1 2 3)) logit var i.f24_IT##i.edu3 i.v225 i.age3 i.zona3 i.sxdx outreg2 using socdist1.xls, excel dec(2) margins, dydx (f24_IT) at (edu3=(1 2 3)) logit var i.f24_IT##i.zona3 i.v225 i.age3 i.edu3 i.sxdx outreg2 using socdist1.xls, excel dec(2) margins, dydx (f24_IT) at (zona3=(1 2 3)) logit var i.f24_IT##i.sxdx i.v225 i.edu3 i.age3 i.zona3 outreg2 using socdist1.xls, excel dec(2) margins, dydx (f24_IT) at (sxdx=(1 2 3 4 5))