The Effect of Regulatory Depletion on Attitude Certainty
Bibliographic record
Abstract
This research explores how regulatory depletion affects consumers' responses to advertising. Initial forays into this area suggest that the depletion of self-regulatory resources is irrelevant when advertisement arguments are strong or consumers are highly motivated to process. In contrast to these conclusions, the authors contend that depletion has important but previously hidden effects in such contexts. That is, although attitudes are equivalent in valence and extremity, consumers are more certain of their attitudes when they form them under conditions of depletion than nondepletion. The authors propose that this effect occurs because feeling depleted induces the perception of having engaged in thorough information processing. As a consequence of greater attitude certainty, depleted consumers' attitudes exert greater influence on their purchase behavior. Three experiments, using different products and ad exposure times, confirm these hypotheses. Experiment 3 demonstrates the potential to vary consumers' naive beliefs about the relationship between depletion and thoroughness of processing, and this variation moderates the effect of depletion on attitude certainty. The authors discuss the theoretical contributions and implications for marketing.
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How this classification was reachedexpand
Full frame machine prediction
Teacher imitationNot calibrated prevalence, not ground truth. Human validation pending. The Gemma side is a direct model label for every work in the frame, read from the title-only record. The Codex side is a classifier learned from the 10,348 direct Codex labels and calibrated to design-weighted sample rates; fields without enough sample support carry no Codex call. Candidate is the union of the two sides; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels.
Distilled classifier scores by category (both heads)
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.003 | 0.020 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.000 |
| Science and technology studies | 0.000 | 0.001 |
| Scholarly communication | 0.001 | 0.001 |
| Open science | 0.000 | 0.001 |
| Research integrity | 0.000 | 0.001 |
| Insufficient payload (model declined to judge) | 0.003 | 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 source (direct Gemma or distilled Codex), 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".