When the purpose lies within: Maximizers and satisfaction with autotelic choices
Bibliographic record
Abstract
Are maximizers less satisfied with their choices than satisficers? This research provides a novel perspective on this question by distinguishing between two types of consumer goals: autotelic, when choice is a goal in itself, and instrumental, when a choice is a means to achieving other goals. Study 1 showed that maximizers value autotelic experiences more than satisficers. Study 2 experimentally manipulated the choice goal and found that maximizers compared to satisficers experience higher choice satisfaction when the choice goal is autotelic rather than instrumental. Additionally, evidence is provided for the underlying mechanism (perceived ease of choice) as well as downstream consequences (consumers’ willingness to pay for their chosen option). These findings advance a conceptualization of maximizers as consumers seeking self-contained meaning in choice and provide new insights into the relation between maximizing and choice satisfaction. Theoretical and practical implications for consumer decision-making are discussed.
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How this classification was reachedexpand
Full frame distilled prediction
Teacher imitationNot calibrated prevalence, not ground truth. Human validation pending. Learned from the 10,348 direct Codex labels and 10,348 direct Gemma labels. Candidate is the union of thresholded teacher heads; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels or direct frontier model labels.
Codex and Gemma teacher scores by category
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.001 | 0.000 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.000 |
| Science and technology studies | 0.001 | 0.000 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.000 |
| Insufficient payload (model declined to judge) | 0.000 | 0.000 |
Machine scores (provisional)
The two teacher heads of the student model, read on this work. A score orders the frame for review; it never asserts a category, and the validation status ships verbatim with every row.
Baseline scores from an immature model (maturity gate not passed, 7 training rounds). Scores rank; they never assert a category.
score_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from itClassification
machine, unvalidatedMachine predicted; a candidate call from one teacher head, not a consensus.
How this classification was reached, model by model and score by score, is at the end of the page under "How this classification was reached".