* STUDY 1: SURVEY STUDY. * Dataset and script contains all scales and syntax for the main analyses in the manuscript & additional analyses in the supplement. * N = 425 for dataset applying preregistered exclusion criteria, different N for different analyses due to missings. * N = 775 for full dataset, not applying preregistered exclusion criteria (needed for analyses in supplement, Table S8 & S9), different N for different analyses due to missings ***** Analyses reported in the manuscript. *** first, exclude people according to preregistered exclusion criteria. USE ALL. COMPUTE filter_$=(exclude = 0). VARIABLE LABELS filter_$ 'exclude = 0 (FILTER)'. VALUE LABELS filter_$ 0 'Not Selected' 1 'Selected'. FORMATS filter_$ (f1.0). FILTER BY filter_$. EXECUTE. **** multiple regression on all outcomes (Manuscript, Table 2). REGRESSION /MISSING LISTWISE /STATISTICS COEFF OUTS R ANOVA CI /CRITERIA=PIN(.05) POUT(.10) /NOORIGIN /DEPENDENT TRUST GOV_REG DISTANCING HYGIENE SOCIAL /METHOD=ENTER GENDER CHILDREN EDUCATION /METHOD=ENTER PCC. *************Analyses reported in the supplement. *** exclude people according to preregistered exclusion criteria. USE ALL. COMPUTE filter_$=(exclude = 0). VARIABLE LABELS filter_$ 'exclude = 0 (FILTER)'. VALUE LABELS filter_$ 0 'Not Selected' 1 'Selected'. FORMATS filter_$ (f1.0). FILTER BY filter_$. EXECUTE. * Bivariate correlations, including willingness to take a vaccination (Supplement, Table S1). CORRELATIONS /VARIABLES=PCC DISTANCING HYGIENE GOV_REG VACCINE SOCIAL TRUST /PRINT=TWOTAIL NOSIG /MISSING=PAIRWISE. * correlations with confidence intervals using the rhoCI-macro, which can be downloaded here: * https://sites.google.com/a/lakeheadu.ca/bweaver/Home/statistics/spss/my-spss-page/rhoci . * make sure to use correct DataSetName. !rhoCI DataSetName = Data_Study1 /Vars = PCC DISTANCING HYGIENE GOV_REG VACCINE SOCIAL TRUST. **** multiple regression including age as covariate (Supplement, Table S2). REGRESSION /MISSING LISTWISE /STATISTICS COEFF OUTS R ANOVA CI /CRITERIA=PIN(.05) POUT(.10) /NOORIGIN /DEPENDENT TRUST GOV_REG DISTANCING HYGIENE SOCIAL /METHOD=ENTER GENDER CHILDREN EDUCATION AGE /METHOD=ENTER PCC. * Multiple regressions for adoption of hygiene measures (2 items) and the social engagement subscales on PCC, gender, children, and education (Supplement, Table S6). REGRESSION /MISSING LISTWISE /STATISTICS COEFF OUTS R ANOVA CI /CRITERIA=PIN(.05) POUT(.10) /NOORIGIN /DEPENDENT HYGIENE_2items SOCIAL_1 SOCIAL_2 /METHOD=ENTER GENDER CHILDREN EDUCATION /METHOD=ENTER PCC. * Regression for the willingness to take a vaccination on PCC, gender, children, and education. REGRESSION /MISSING LISTWISE /STATISTICS COEFF OUTS R ANOVA CI /CRITERIA=PIN(.05) POUT(.10) /NOORIGIN /DEPENDENT VACCINE /METHOD=ENTER GENDER CHILDREN EDUCATION /METHOD=ENTER PCC. *** Mediation Analyses are conducted using R and lavaan -> see R-script. *** Analyses for full sample (not including individuals with a medical condition, Supplement, Table S8 and S9). *** include all datapoints. FILTER OFF. USE ALL. CORRELATIONS /VARIABLES=PCC DISTANCING HYGIENE GOV_REG VACCINE SOCIAL TRUST /PRINT=TWOTAIL NOSIG /MISSING=PAIRWISE. REGRESSION /MISSING LISTWISE /STATISTICS COEFF OUTS R ANOVA CI /CRITERIA=PIN(.05) POUT(.10) /NOORIGIN /DEPENDENT TRUST GOV_REG DISTANCING HYGIENE SOCIAL /METHOD=ENTER GENDER CHILDREN EDUCATION /METHOD=ENTER PCC. *** correlations with gender (Supplement, Table S19). *** exclude people according to preregistered exclusion criteria. USE ALL. COMPUTE filter_$=(exclude = 0). VARIABLE LABELS filter_$ 'exclude = 0 (FILTER)'. VALUE LABELS filter_$ 0 'Not Selected' 1 'Selected'. FORMATS filter_$ (f1.0). FILTER BY filter_$. EXECUTE. SORT CASES BY GENDER_B. SPLIT FILE LAYERED BY GENDER_B. CORRELATIONS PCC with GOV_REG DISTANCING. SPLIT FILE off.