load_blocking_data#

load_blocking_data()[source]#

Load the test-stage ratings of the blocking experiment of Spicer et al. (2021).

Returns:

pd.DataFrame: A pandas DataFrame with one row per test trial and participant.

Notes

Forty-one participants learned which foods caused stomach ache in a fictional patient. In Stage 1, they saw twelve blocks of the single cues A+, B- and C-, and in Stage 2, six blocks of the compounds AX+, BY+ and CD-, where + means that the patient had stomach ache and - that they did not. X is the blocked cue, Y its control, and C and D are fillers. In the test stage, they rated how likely each single cue was to cause stomach ache, on a scale from 0 (very unlikely) to 10 (very likely), without feedback, in ten blocks of the six cues. Only the test stage is included; the trial orders of the training stages were randomised for each participant, and are not available.

The data were originally published by the authors on the Open Science Framework (osf.io/sa8ux), and the experiment is described in their supplementary materials (osf.io/7u6re). They are licensed under the Creative Commons Attribution 4.0 International License (CC BY 4.0); cite Spicer et al. (2021) when you use them.

The dataset includes the following columns:

ppt: the participant number.
block: the test block (1 to 10).
trial: the test trial (1 to 60).
cue: the cue that was rated (A, B, C, D, X or Y).
rating: the rating, from 0 to 10.
rt: the response time, in seconds.

References

Spicer, S. G., Wills, A. J., Jones, P. M., Mitchell, C. J., & Dome, L. (2021). Representing uncertainty in the Rescorla-Wagner model: Blocking, the redundancy effect, and outcome base rate. Open Journal of Experimental Psychology and Neuroscience, 1, 14-21.

Examples

>>> data = load_blocking_data()
>>> data.groupby(["ppt", "cue"]).rating.mean().unstack().mean()