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Research data supporting "i-ABC: a computerised application for online profiling of learning ability and cognitive flexibility"


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Type

Dataset

Change log

Authors

Karlaftis, Vasileios  ORCID logo  https://orcid.org/0000-0003-1285-1593
Papadopoulos, Avraam 
Eldridge, Margery 
Ross, Philip 
Leong, Victoria 

Description

Behavioural data collected from all i-ABC tasks*:

  1. Structure Learning: Participants were training over two sessions in Markov level-1 sequences. Behavioural data are shown per participant for: (a) relative performance index (i.e. difference between performance index and random guess baseline) per block, (b) strategy index across blocks (where zero strategy index indicates a matching strategy and positive values indicate strategy deviating towards maximisation), and (c) mean response times (RT) across blocks (Figure 13).

  2. Serial Reaction Time: Participants were training over two sessions in Markov level-1 sequences. Behavioural data are shown per participant for: (a) mean RT per block for high probability trials, and (b) mean RT per block for low probability trials (Figure 14).

  3. Paired Associates Learning: Participants completed a single session of PAL with the following conditions: PAL3, PAL4, PAL6 (twice) and PAL8 (twice). Behavioural data are shown per participant for: (a) number of trials across conditions, (b) number of errors across conditions, (c) memory score across conditions, and (d) mean RT across conditions (Figure 15).

  4. Iowa Gambling Task: Participants completed a single session of 10 blocks of 10 trials each. Behavioural data are shown per participant for: (a) net score across blocks (where positive values indicate preference towards non-risky decks and negative values towards risky decks), (b) change in net score between the first two and the last two blocks, and (c) mean RT across conditions (Figure 16).

  5. Probability Reversal: Participants completed a single session of PR. Behavioural data are shown per participant for: (a) perseverance to the old rule, (b) switching probability after negative feedback, (c) probability matching score, (d) trials to reach the learning criterion before and after the reversal, (e) maintenance failure score after reaching the learning criterion, and (f) mean RT (Figure 17).

  6. Wisconsin Card Sorting Task: Participants completed a single session of 6 rules rules (colour, shape, number, shape, number, colour) of 20 trials each. Behavioural data are shown per participant, summarised across rules, for: (a) perseverative errors to the old rule, (b) non-perseverative errors after identifying the new rule, (c) efficient errors to identify the new rule, and (d) mean RT (Figure 18).

  7. Progressive Matrices: Participants completed a single session of 11 trials. Behavioural data are shown per participant for: (a) accuracy (i.e. percent correct), and (b) mean RT (Figure 19).

  8. Remote Associates: Participants completed a single session of 30 trials. Behavioural data are shown per participant for: (a) accuracy (i.e. percent correct), and (b) mean RT (Figure 20).

Note that there is no correspondence between participant IDs across tasks.

*Raw data for all i-ABC tasks in JSON format are available upon request from zk240@cam.ac.uk.

Version

Software / Usage instructions

i-ABC (https://iabc.psychol.cam.ac.uk/home), Matlab 2019a

Keywords

software, application, online testing, structure learning, cognitive training, cognitive flexibility, risk-taking, creativity

Publisher