Correlational Nature of Findings
The study identifies strong correlations between certain emotional dispositions (compassion, envy, self-interest) and support for redistribution but does not establish direct causation. This means it cannot definitively state that these emotions *cause* the support, as other unmeasured factors might influence both.
Reliance on Self-Reported Measures
Many key variables, including dispositional compassion, envy, and expected personal gain, were measured using self-report questionnaires. These measures are susceptible to biases such as social desirability, where participants might answer in a way they believe is socially acceptable rather than reflecting their true feelings.
Use of Hypothetical Scenarios
Some aspects of the study, particularly regarding "wealthy-harming preference" and "distributional fairness decisions," relied on participants responding to hypothetical situations. Responses to such scenarios may not always align with real-world behavior when actual stakes or consequences are involved.
Specific Definition of Fairness
The study's conclusion that "fairness" does not predict redistribution support is based on specific, defined measures of fairness (low variance in outcomes, uniformity of laws). It's possible that other conceptualizations or intuitive understandings of fairness, not measured in this study, might still play a role.