Between listener convergence pilot data

There are 7 different .csv files. Due to the way multi-participant experiments are run on Labvanced, each experimental Condition is recorded in its own dataset.<br> The three ending in -utf8 are the raw datasets, the ones that end in -clean are the cleaned ones with the relevant information. Turning the datasets into a single one is easy enough, if you wish to do so, I personally like to keep them separate until I absolutely have to combine them.<br> <br> The three conditions are as follows:<br> <br> fb: feedback – participants were incentivized to agree<br> falsefb: false feedback –participants were incentivized to disagree<br> nofb: no feedback – individual control condition without any interaction. <br> The cleaned data in the two interactive conditions has the following variables:<br> <br> Pair_ID: identifies participants in a dyad<br> Condition_Id: Stimulus level (1 corresponds to /s/, 5 to /S/)<br> Stimulus_order: first iteration of a given stimulus to the last (i.e. „13“ means the 13th time a participant has heard the corresponding acoustic stimulus in the Condition_Id column).<br> decision1: picture chosen by participant 1 in a dyad<br> decision2 picture chosen by participant 2 in a dyad - 3 here corresponds to picture associated with /s/ in the training, 2 corresponds to the picture associated with /S/. (I don’t know at which point in the cleaning script the strings were replaced with numbers, but numbers work as well, I think).<br> agreement: 1=participants agree on categorization of the stimulus,<br> 0 = participants disagree on the categorization.<br> Trial_Nr: Order in which the acoustic stimuli were presented (randomized)<br> <br> Th individual condition has of course only one decision column and no agreement, individual participants are identified as subj_counter_global.<br> <br> the .csv file called „identall“ shows how the overall identification of the stimuli differs by condition.<br> The relevant Variables are the following: Condition_Id: Acoustic stimulus from 1(/s/) to 5 (/S/)<br> n: Number of times participants within a condition chose picture 1 for a given stimulus identperc: n transformed into percent task: Experimental condition. <br> <br> the other columns in identall are a result of my data cleaning process and can be disregarded <br> I am also uploading my annotated cleaning and plotting script.