We will conduct the same analyses as in the original study (https://osf.io/vdo0i/) **Initial analysis** I) Is there a difference due to the factor data collection method: online vs. lab? Chi2-Kontingenz-Test: independent variable IV = method: online vs. labdependent variable DV = product decision (composite factor): "green" vs. "nongreen" **Analyses according to the tests used in the original study** II) Do both control groups differ from each other? (Does reading a text have an influence on product decision at all?) Chi2-test IV = motive: control1 (text control group) vs. control2 (non-text control group) DV = Product decision (composite factor): "green" vs. "non-green" III) *Main hypothesis 1:* Does manipulation of status influence product decisions (regarding car, soap and dishwasher)? 3 separate Chi2-tests (each product is tested independently) IV = motive: status vs. control DV = specific product decision (car, soap and dishwasher): "green" vs. "nongreen" IV) *Main hypothesis 2:* Does the manipulation of status in general influence product decisions? ANOVA done with composite factor (containing car, soap and dishwasher) IV = motive: status vs. control DV = product decision (composite):"green" vs. "nongreen" **Further analysis** Our further analyses are beyond the tests reported in the original study. They are done because of recommendations from the original authors (https://osf.io/vdo0i/wiki/home/). These analyses are explorative. V) Is the operationalization 'Product decision: "green" vs. "nongreen"' for altruism still reliable? (If not significant, it is evidence for apprehension of the original author, that buying green products is not seen as altruistic anymore.) t-Test IV = 4 questions for assessment of green product buyers’ prosociality DV = degree of agreement VI) Does status manipulation influence altruism? Linear regression with dichotomous IV IV = status manipulation: status vs. control DV = altruism (metric) VII) Does status manipulation influence altruism including a potential moderation of political orientation? Multiple linear regression: IV1 = political orientation IV2 = status manipulation IV3 = interaction of IV1 and IV2 DV = altruism VIII) Does status manipulation influence product decision including a potential moderation of political orientation? Multiple linear regression: IV1 = political orientation IV2 = status manipulation IV3 = interaction of IV1 and IV2 DV = product decision: "green" vs. "nongreen" Control tests IX) Do product decisions or altruism differ regarding demographic variables? age --> altruism or product decisions occupation --> altruism or product decisions gender --> altruism or product decisions