The csv files in this folder contains eye-tracking data, usually together with the aggregated ratings. `final ratings data (minus exclusions).xslx` is the file with the unaggregated ratings.
The .csv files have the following columns:
- Column 1 – P.s = participant number
- Column 2 – Item = Item number
- Column 3 – Cond = Condition number (this is used to generate the final column ‘Fit’)
- Column 4-6:
In the CSV files there are three regions of analysis columns which give the reading times (or whether a regression occurred [0=no regression, 1=regression]) for each region. Item 1 given below shows where these regions are. The region boundaries are shown by a ^ symbol and the name of the region is also included, from the CSV, at the end of each region just before the boundary.
**Goodness off Fit (High)**
Brian tells Mary that he thinks he heard that a nearby village has been flooded. The village is located near the sea side. However, it is also in a valley below a dammed reservoir. Mary remembers that the dam has been in a terribly bad state for some time. Mary thinks that ^if the village has been flooded, (Antecedent)^then the dam has broken. (Consequent)^The dam was the responsibility of the local authority. (Spillover)^
**Goodness of Fit (Low)**
Brian tells Mary that he thinks he heard that a nearby village has been flooded. The village is located near the sea side. However, it is also in a valley below a dammed reservoir. Mary remembers that the dam has recently passed a safety inspection. Mary thinks that ^if the village has been flooded, (Antecedent)^then the dam has broken. (Consequent)^The dam was the responsibility of the local authority. (Spillover)^
- Column 7 - Within the CSV the final column gives the goodness of fit of the condition (Fit). ‘High’ (condition 1) represents a good fit between the conditional and context and ‘Low’ (condition 2) represents a low fit.
For the files with ratings columns 8 and 9 give the aggregated ratings (i.e., aggregated by-item). Column 8 is the acceptability and 9 the confidence.
