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A compact participant-level dataset derived from Experiments 1A and 1B of Chetverikov and Hansmann-Roth (2026). In Exp. 1A the high-noise stimulus had SD = 20 degrees; in Exp. 1B it had SD = 45 degrees. Low-noise stimuli had SD = 5 degrees in both samples.

Usage

data(memory_noise)

Format

A data.frame with 70 observations and 6 variables.

Source

Derived from the public behavioral dataset at https://osf.io/kqb8t/. The package subset is based on the canonical CHR2026 representation used for model comparison.

Details

Only unequal-noise trials are included. Bias is estimated with the same weighted probability-density asymmetry approach used in the paper and averaged over target/non-target dissimilarities from 1 to 44 degrees, the range in which Experiments 1A and 1B showed the relative-noise interaction. Positive values indicate attraction toward the competing non-target and negative values indicate repulsion.

  • participant. An anonymized participant identifier, unique across Experiments 1A and 1B.

  • experiment. Between-subject sample: "Exp. 1A" or "Exp. 1B".

  • high_noise_sd. High stimulus-noise standard deviation used in the sample (20 or 45 degrees).

  • relative_noise. Ordered within-subject factor: "target less noisy" or "target more noisy".

  • bias_percent. Density-asymmetry bias in percentage points. Positive values indicate attraction toward the non-target; negative values indicate repulsion.

  • n_trials. Number of non-outlier unequal-noise trials contributing to the weighted bias curve.

References

Chetverikov, A., & Hansmann-Roth, S. (2026). Noise in Competing Representations Determines the Direction of Memory Biases. eLife, 15, RP111380. doi:10.7554/eLife.111380.1