DOI: 10.5061/dryad.kd51c5b3r
title: Data accompanying the Registered Report: Does unfairness sound wrong? A cross-domain investigation of expectations in music and social decision-making.

description: This study was interested in investigating the existence of a shared
 psychological mechanism for the processing of expectations across domains.
 The literature on music and language shows that violations of expectations
 produce similar neural responses and violating the expectation in one
 domain may influence the processing of stimuli in the other domain. Like
 music and language, our social world is governed by a system of inherent
 rules or norms, such as fairness. The study therefore aimed to draw a
 parallel to the social domain and investigate whether a manipulation of
 melodic expectation can influence the processing of higher-level
 expectations of fairness. Specifically, we aimed to investigate whether
 the presence of an unexpected melody enhances or reduces participants’
 sensitivity to the violations of fairness and the behavioural reactions
 associated with these. We embedded a manipulation of melodic expectation
 within a social decision-making paradigm, whereby musically expected and
 unexpected stimuli will be simultaneously presented with fair and unfair
 divisions in a third-party altruistic punishment game. Both behavioural
 and EEG responses were recorded. Results from the pre-planned analyses
 show that participants are less likely to punish when the melodic stimuli
 are more unexpected and that violations of fairness norms elicit MFN-life
 effects. However, since no significant interactions between melodic
 expectancy and fairness of the division were found, results fail to
 provide evidence of a shared mechanism for the processing of expectations.
 Exploratory analyses show two additional effects: i) unfair divisions
 elicit an early attentional component (P2), likely associated with
 stimulus saliency, and ii) mid-value divisions elicit a late MFN-like
 component, likely reflecting stimulus ambiguity.  Future studies
 could build on these results to further investigate the effect of the
 cross-domain influence of music on the processing of social stimuli on
 these early and late components.
description: Information about the approved Stage 1 protocol, data collection
 and analyses can be found in the Methods section of the Registered
 Report.
description: The uploaded folder contains EEG and behavioural data as well as
 the code used to analyse the data.   
 The EEG data consists of
 <br> - Pre-processed (clean) EEGlab data (.set) following
 final stage of pre-processing with MARA(see Step 7 of pre-processing in
 the MATLAB .m script) <br> <br> - Individual raw (unprocessed)
 EEGlab (.set) files converted from .bdf Biosemi files. 
 - Group_data_plotting_stats.zip: Group data for plotting and
 statistics (.mat files using the Fieldtrip cell structure)
   The Behavioural data consists
 of: - individual raw unprocessed data in .csv
 (converted from E-prime) - group processed data
 (.csv) - data used for plotting and factorial analyses
 (.csv)   
 Code - R code for
 behavioural analyses; it creates the group data from unprocessed raw
 individual data. - .m (MATLAB) code for EEG analyses;
 this is used for pre-processing and analyses/plotting 
   Information about
 triggers/conditions: Notes: 1 = expected
 notes, 2 = unexpected notes  Fairness: 1 = fair (0) , 2
 = 25, 3 = 50 , 4 = 75 , 5 = 100. Example: condition 21
 = unexpected music presented on fair divisions (0)