* Encoding: UTF-8. *STUDY 2 (EXPERIMENTAL "RAL ISLAND" STUDY) SYNTAX. ***PREPARING DATA SET. *Checking control variables (Age, Gender and citizenship). FREQUENCIES VARIABLES=Age Sexe CitCH CitDoub CitNonCH /STATISTICS=STDDEV MINIMUM MAXIMUM MEAN /ORDER=ANALYSIS. *Checking n for experimental conditions. FREQUENCIES VARIABLES=Manip C_HBStat C_MajMin C_OriImm /STATISTICS=MEAN /ORDER=ANALYSIS. *Reverse-coding necessary items. RECODE IndResp_2 IndResp_4 (6=1) (5=2) (4=3) (3=4) (2=5) (1=6) INTO IndRe2R IndRe4R. VARIABLE LABELS IndRe2R "IndRe2R Recoded [Certaines personnes n'arrivent pas à progresser "+ "dans la société à cause des inégalités sociales.]" /IndRe4R 'IndRe4R Recoded [Certaines '+ 'personnes ont des difficultés à atteindre une meilleure position dans la société à cause de '. EXECUTE. RECODE PrivDis2 PrivDis4 (6=1) (5=2) (4=3) (3=4) (2=5) (1=6) INTO PrivDi2R PrivDi4R. VARIABLE LABELS PrivDi2R "PrivDis2 Reverse-scored, low score = perceived disadvantage" /PrivDi4R 'PrivDis4 Reverse-scored, low score = perceived disadvantage'. EXECUTE. RECODE Check3 Check4 Check5 (6=1) (5=2) (4=3) (3=4) (2=5) (1=6) INTO Check3R Check4R Check5R. VARIABLE LABELS Check3R "Check3R Reverse-scored, high score=high status" /Check4R 'Check4R Reverse-scored, high score = majority' Check5R "Check5R Reverse-scored, high score = originaire". EXECUTE. *Missing data check with original data set; Maximum likelihood imputation (into new data set). DATASET DECLARE Etude2_DataToImpute. MVA VARIABLES=IndResp1 IndRe2R IndResp3 IndRe4R MCP3 MCP1 MCP2 MCI3 MCI2 MCI4 MCI1 PrivDis1 PrivDi2R PrivDis3 PrivDi4R Check1 Check4R Check2 Check5R Check3R Check6 Facile Diffi /EM(TOLERANCE=0.001 CONVERGENCE=0.0001 ITERATIONS=25 OUTFILE=Etude2_DataToImpute). *Adapt "OUTFILE=" to create new data set with imputed data. **Remember to conduct analyses with desired data set (with or without imputed data - Study2_Prep, Study2_Orig, respectively). ***CHECKING & CONSTRUCTING MEASURES. *Individual responsibility belief. RELIABILITY /VARIABLES=IndResp1 IndRe2R IndResp3 IndRe4R /SCALE('ALL VARIABLES') ALL /MODEL=ALPHA /SUMMARY=TOTAL. COMPUTE IndRespT=(IndResp1 + IndRe2R + IndResp3 + IndRe4R)/4. VARIABLE LABELS IndRespT 'IndResp scale 4 items collapsed'. EXECUTE. *Multicultural policy. RELIABILITY /VARIABLES=MCP3 MCP1 MCP2 /SCALE('ALL VARIABLES') ALL /MODEL=ALPHA /SUMMARY=TOTAL. COMPUTE MCP_Tot=(MCP3 + MCP1 + MCP2)/3. VARIABLE LABELS MCP_Tot 'MCP scale 3 items collapsed'. EXECUTE. *Multicultural ideology. RELIABILITY /VARIABLES=MCI3 MCI2 MCI4 MCI1 /SCALE('ALL VARIABLES') ALL /MODEL=ALPHA /SUMMARY=TOTAL. COMPUTE MCI_Tot=(MCI3 + MCI2 + MCI4 + MCI1)/4. VARIABLE LABELS MCI_Tot 'MCI scale 4 items collapsed'. EXECUTE. FACTOR /VARIABLES MCP3 MCP1 MCP2 MCI3 MCI2 MCI4 MCI1 /MISSING LISTWISE /ANALYSIS MCP3 MCP1 MCP2 MCI3 MCI2 MCI4 MCI1 /PRINT INITIAL KMO EXTRACTION ROTATION /FORMAT SORT BLANK(.10) /PLOT EIGEN /CRITERIA FACTORS(2) ITERATE(25) /EXTRACTION PC /CRITERIA ITERATE(25) /ROTATION VARIMAX /METHOD=CORRELATION. *Perceived privilege. RELIABILITY /VARIABLES=PrivDis1 PrivDi2R PrivDis3 PrivDi4R /SCALE('ALL VARIABLES') ALL /MODEL=ALPHA /SUMMARY=TOTAL. COMPUTE Priv_Tot=(PrivDis1 + PrivDi2R + PrivDis3 + PrivDi4R)/4. VARIABLE LABELS Priv_Tot 'PrivDis scale 4 items collapsed'. EXECUTE. *Recall and understanding of the text. CORRELATIONS /VARIABLES=Check1 Check4R Check2 Check5R Check6 Check3R /PRINT=TWOTAIL NOSIG /MISSING=PAIRWISE. COMPUTE ChMinoMajo=(Check1 + Check4R)/2. VARIABLE LABELS ChMinoMajo 'Check Mino/Majo, high score = majo, low score=mino'. EXECUTE. COMPUTE ChImmOri=(Check2 + Check5R)/2. VARIABLE LABELS ChImmOri 'Check Immigré/Autochtone, high score=autochtone, low score=immigré'. EXECUTE. COMPUTE ChHLStat=(Check6 + Check3R)/2. VARIABLE LABELS ChHLStat 'Check haut (Kaldan)/bas (Felorese) statut, high score=Kaldan, low score=Felorese'. EXECUTE. *Difficulty of the exercise. CORRELATIONS /VARIABLES=Facile Diffi /PRINT=TWOTAIL NOSIG /MISSING=PAIRWISE. ***MANIP CHECKS. *Perceived privilege. UNIANOVA Priv_Tot BY C_HBStat C_MajMin C_OriImm /METHOD=SSTYPE(3) /INTERCEPT=INCLUDE /EMMEANS=TABLES(C_HBStat) /EMMEANS=TABLES(C_MajMin) /EMMEANS=TABLES(C_OriImm) /PRINT=DESCRIPTIVE ETASQ /CRITERIA=ALPHA(.05) /DESIGN=C_HBStat C_MajMin C_OriImm C_HBStat*C_MajMin C_HBStat*C_OriImm C_MajMin*C_OriImm C_HBStat*C_MajMin*C_OriImm. *Verify with control variables. UNIANOVA Priv_Tot BY C_HBStat C_MajMin C_OriImm WITH CitCH Sexe Age /METHOD=SSTYPE(3) /INTERCEPT=INCLUDE /EMMEANS=TABLES(C_HBStat) WITH(CitCH=MEAN Sexe=MEAN Age=MEAN) COMPARE ADJ(LSD) /EMMEANS=TABLES(C_MajMin) WITH(CitCH=MEAN Sexe=MEAN Age=MEAN) COMPARE ADJ(LSD) /EMMEANS=TABLES(C_OriImm) WITH(CitCH=MEAN Sexe=MEAN Age=MEAN) COMPARE ADJ(LSD) /CRITERIA=ALPHA(.05) /DESIGN=CitCH Sexe Age C_HBStat C_MajMin C_OriImm C_HBStat*C_MajMin C_HBStat*C_OriImm C_MajMin*C_OriImm C_HBStat*C_MajMin*C_OriImm. *Recall and understanding of the text. GLM ChMinoMajo ChImmOri ChHLStat BY C_HBStat C_MajMin C_OriImm /METHOD=SSTYPE(3) /INTERCEPT=INCLUDE /EMMEANS=TABLES(C_HBStat) /EMMEANS=TABLES(C_MajMin) /EMMEANS=TABLES(C_OriImm) /PRINT=DESCRIPTIVE ETASQ /CRITERIA=ALPHA(.05) /DESIGN= C_HBStat C_MajMin C_OriImm C_HBStat*C_MajMin C_HBStat*C_OriImm C_MajMin*C_OriImm C_HBStat*C_MajMin*C_OriImm. *Verify with control variables. GLM ChMinoMajo ChImmOri ChHLStat BY C_HBStat C_MajMin C_OriImm WITH CitCH Sexe Age /METHOD=SSTYPE(3) /INTERCEPT=INCLUDE /EMMEANS=TABLES(C_HBStat) WITH(CitCH=MEAN Sexe=MEAN Age=MEAN) /EMMEANS=TABLES(C_MajMin) WITH(CitCH=MEAN Sexe=MEAN Age=MEAN) /EMMEANS=TABLES(C_OriImm) WITH(CitCH=MEAN Sexe=MEAN Age=MEAN) /CRITERIA=ALPHA(.05) /DESIGN=CitCH Sexe Age C_HBStat C_MajMin C_OriImm C_HBStat*C_MajMin C_HBStat*C_OriImm C_MajMin*C_OriImm C_HBStat*C_MajMin*C_OriImm. *Alternative to previous analyses (instead of MANOVA, simple independent sample t-tests). T-TEST GROUPS=C_HBStat(-1 1) /MISSING=ANALYSIS /VARIABLES=ChHLStat /CRITERIA=CI(.95). T-TEST GROUPS=C_OriImm(-1 1) /MISSING=ANALYSIS /VARIABLES=ChImmOri /CRITERIA=CI(.95). T-TEST GROUPS=C_MajMin(-1 1) /MISSING=ANALYSIS /VARIABLES=ChMinoMajo /CRITERIA=CI(.95). *Difficulty of the exercise. GLM Facile Diffi BY C_HBStat C_MajMin C_OriImm /METHOD=SSTYPE(3) /INTERCEPT=INCLUDE /EMMEANS=TABLES(C_HBStat) /EMMEANS=TABLES(C_MajMin) /EMMEANS=TABLES(C_OriImm) /PRINT=DESCRIPTIVE ETASQ /CRITERIA=ALPHA(.05) /DESIGN=C_HBStat C_MajMin C_OriImm C_HBStat*C_MajMin C_HBStat*C_OriImm C_MajMin*C_OriImm C_HBStat*C_MajMin*C_OriImm. *Verify with control variables. GLM Facile Diffi BY C_HBStat C_MajMin C_OriImm WITH Sexe CitCH Age /METHOD=SSTYPE(3) /INTERCEPT=INCLUDE /PLOT=PROFILE(C_MajMin*C_OriImm) /EMMEANS=TABLES(C_MajMin*C_OriImm) WITH(Sexe=MEAN CitCH=MEAN Age=MEAN) /PRINT=DESCRIPTIVE /CRITERIA=ALPHA(.05) /DESIGN=Sexe CitCH Age C_HBStat C_MajMin C_OriImm C_HBStat*C_MajMin C_HBStat*C_OriImm C_MajMin*C_OriImm C_HBStat*C_MajMin*C_OriImm. *Additional check - Individual responsibility belief by experimental conditions. UNIANOVA IndRespT BY C_HBStat C_MajMin C_OriImm /METHOD=SSTYPE(3) /INTERCEPT=INCLUDE /EMMEANS=TABLES(C_HBStat) /EMMEANS=TABLES(C_MajMin) /EMMEANS=TABLES(C_OriImm) /PRINT=DESCRIPTIVE ETASQ /CRITERIA=ALPHA(.05) /DESIGN=C_HBStat C_MajMin C_OriImm C_HBStat*C_MajMin C_HBStat*C_OriImm C_MajMin*C_OriImm C_HBStat*C_MajMin*C_OriImm. *Verify with control variables. UNIANOVA IndRespT BY C_HBStat C_MajMin C_OriImm WITH Sexe CitCH Age /METHOD=SSTYPE(3) /INTERCEPT=INCLUDE /EMMEANS=TABLES(C_HBStat) WITH(Sexe=MEAN CitCH=MEAN Age=MEAN) COMPARE ADJ(LSD) /EMMEANS=TABLES(C_MajMin) WITH(Sexe=MEAN CitCH=MEAN Age=MEAN) COMPARE ADJ(LSD) /EMMEANS=TABLES(C_OriImm) WITH(Sexe=MEAN CitCH=MEAN Age=MEAN) COMPARE ADJ(LSD) /CRITERIA=ALPHA(.05) /DESIGN=Sexe CitCH Age C_HBStat C_MajMin C_OriImm C_HBStat*C_MajMin C_HBStat*C_OriImm C_MajMin*C_OriImm C_HBStat*C_MajMin*C_OriImm. *Additional check - sociodemographic characteristics by experimental conditions. CROSSTABS /TABLES=Sexe Age CitCH BY C_HBStat C_MajMin C_OriImm /FORMAT=AVALUE TABLES /STATISTICS=CHISQ /CELLS=COUNT /COUNT ROUND CELL. ***DESCRIPTIVE STATISTICS. DESCRIPTIVES VARIABLES=IndRespT MCP_Tot MCI_Tot /STATISTICS=MEAN STDDEV MIN MAX. T-TEST PAIRS=MCI_Tot WITH MCP_Tot (PAIRED) /CRITERIA=CI(.9500) /MISSING=ANALYSIS. CORRELATIONS /VARIABLES=IndRespT MCP_Tot MCI_Tot /PRINT=TWOTAIL NOSIG /MISSING=PAIRWISE. *HYPOTHESIS TESTING. *Computing interactions. COMPUTE IndResTc=IndRespT - 3.1286. VARIABLE LABELS IndResTc 'IndRespTc IndRespT centred around mean 3.1286'. EXECUTE. COMPUTE IR_x_HB=IndResTc * C_HBStat. VARIABLE LABELS IR_x_HB 'IR_x_HB Interaction between IndRespTc and High/Low status condition'. EXECUTE. COMPUTE IR_x_MM=IndResTc * C_MajMin. VARIABLE LABELS IR_x_MM 'IR_x_MM Interaction between IndRespTc and numerical Mino/Majo condition'. EXECUTE. COMPUTE IR_x_OI=IndResTc * C_OriImm. VARIABLE LABELS IR_x_OI 'IR_x_OI Interaction between IndRespTc and Originaire/Immigré condition'. EXECUTE. *MCP regression with control variables. REGRESSION /MISSING LISTWISE /STATISTICS COEFF OUTS R ANOVA /CRITERIA=PIN(.05) POUT(.10) /NOORIGIN /DEPENDENT MCP_Tot /METHOD=ENTER Sexe CitCH Age /METHOD=ENTER C_HBStat C_MajMin C_OriImm IndResTc /METHOD=ENTER IR_x_HB IR_x_MM IR_x_OI. *MCP regression without control variables. REGRESSION /MISSING LISTWISE /STATISTICS COEFF OUTS CI(95) R ANOVA CHANGE /CRITERIA=PIN(.05) POUT(.10) /NOORIGIN /DEPENDENT MCP_Tot /METHOD=ENTER C_HBStat C_MajMin C_OriImm IndResTc /METHOD=ENTER IR_x_HB IR_x_MM IR_x_OI. *MCI regression with control variables. REGRESSION /MISSING LISTWISE /STATISTICS COEFF OUTS R ANOVA /CRITERIA=PIN(.05) POUT(.10) /NOORIGIN /DEPENDENT MCI_Tot /METHOD=ENTER Sexe CitCH Age /METHOD=ENTER C_HBStat C_MajMin C_OriImm IndResTc /METHOD=ENTER IR_x_HB IR_x_MM IR_x_OI. *MCI regression without control variables. REGRESSION /MISSING LISTWISE /STATISTICS COEFF OUTS CI(95) R ANOVA CHANGE /CRITERIA=PIN(.05) POUT(.10) /NOORIGIN /DEPENDENT MCI_Tot /METHOD=ENTER C_HBStat C_MajMin C_OriImm IndResTc /METHOD=ENTER IR_x_HB IR_x_MM IR_x_OI. **Process macro (Hayes, 2013) codes to easily visualize simple effects. *MCP regression. process vars=MCP_Tot C_HBStat IndResTc C_MajMin C_OriImm IR_x_MM IR_x_OI/y=MCP_Tot/x=C_HBStat/m=IndResTc/model=1/plot=1. process vars=MCP_Tot C_HBStat IndResTc C_MajMin C_OriImm IR_x_MM IR_x_OI/y=MCP_Tot/x=IndResTc/m=C_HBStat/model=1/plot=1. *MCI regression. process vars=MCI_Tot C_OriImm IndResTc C_HBStat C_MajMin IR_x_HB IR_x_MM/y=MCI_Tot/x=C_OriImm/m=IndResTc/model=1/plot=1. process vars=MCI_Tot C_OriImm IndResTc C_HBStat C_MajMin IR_x_HB IR_x_MM/y=MCI_Tot/x=IndResTc/m=C_OriImm/model=1/plot=1. ***Additional analyses on MCP (incorporating more exploratory triple interaction). COMPUTE HB_x_OI=C_HBStat * C_OriImm. VARIABLE LABELS HB_x_OI 'HB_x_OI Interaction between High/Low status condition and Originaire/Immigré condition'. EXECUTE. COMPUTE IR_x_HB_x_OI=IndResTc * C_HBStat * C_OriImm. VARIABLE LABELS IR_x_HB_x_OI 'Triple interaction between IndRespTc and High/Low status and Originaire/Immigré conditions'. EXECUTE. REGRESSION /MISSING LISTWISE /STATISTICS COEFF OUTS CI(95) R ANOVA CHANGE /CRITERIA=PIN(.05) POUT(.10) /NOORIGIN /DEPENDENT MCP_Tot /METHOD=ENTER C_HBStat C_MajMin C_OriImm IndResTc /METHOD=ENTER IR_x_HB IR_x_OI HB_x_OI IR_x_HB_x_OI. **Process macro (Hayes, 2013) codes to easily visualize simple effects. process vars=MCP_Tot C_HBStat IndResTc C_MajMin C_OriImm/y=MCP_Tot/x=IndResTc/m=C_HBStat/w=C_OriImm/model=3/plot=1. **Calculating simpler models to obtain coefficients allowing to check for robustness in meta analysis. *MCP simple model. REGRESSION /MISSING LISTWISE /STATISTICS COEFF OUTS CI(95) R ANOVA CHANGE /CRITERIA=PIN(.05) POUT(.10) /NOORIGIN /DEPENDENT MCP_Tot /METHOD=ENTER C_HBStat IndResTc /METHOD=ENTER IR_x_HB. *MCI simple model. REGRESSION /MISSING LISTWISE /STATISTICS COEFF OUTS CI(95) R ANOVA CHANGE /CRITERIA=PIN(.05) POUT(.10) /NOORIGIN /DEPENDENT MCI_Tot /METHOD=ENTER C_OriImm IndResTc /METHOD=ENTER IR_x_OI.