Perceptions of all 4 targets are averaged to produce one main variable (remorse) and three secondary variables (worthiness of second chance, trustworthiness, and changed for the better). A t-test will be conducted on the main variable - remorse. We will use separate variances and 10,000 bootstraps to account for possible violations of *t*-test assumptions. This will be done with the following code BOOTSTRAP /SAMPLING METHOD=SIMPLE /VARIABLES TARGET=remorse INPUT=change /CRITERIA CILEVEL=95 CITYPE=PERCENTILE NSAMPLES=10000 /MISSING USERMISSING=EXCLUDE. T-TEST GROUPS=change(0 1) /MISSING=ANALYSIS /VARIABLES=remorse /CRITERIA=CI(.95). As optional further analyses, t-tests can also be conducted on the remaining three secondary variables. Further exploratory analyses can be conducted to compare implicit theories of morality between conditions. Past studies have suggested an effect of condition on lay theory of morality. We will test this secondary prediction with the following code, summing the 3 lay theories of morality into a single index regress remorse change##laymorality, vce(robust)