Exact(6)
Data analysis involved the constant comparison of data from different participants, and across incidents and themes [ 34, 35].
We also made use of canonical cortical meshes, which allowed us to pool fMRI data from different participants when forming priors.
The input parameters (e.g., velocity threshold, interpolation latency) can easily be manually adapted to fit the data from different participants that present different levels of data quality (see Fig. 3).
Most researchers tend to use the same input parameters for all the participants, paying very little attention to these variations in data quality and the effects that selecting different thresholds may have on the data from different participants.
GraFIX allows the adaptation of the input parameters for the automatic algorithms (e.g., velocity threshold, interpolation latency) to fit the data from different participants that present different levels of data quality.
During analysis, we became aware that although the data from different participants could be coded under the same theme as mobility, the experience of recovery was very different for different people.
Similar(54)
20 Using relationship and modelling functions, a mechanistic model of factors influential to clinical trial conduct was developed through the piecing together of complementary segments of data contributed from different participants.
The data in each of these three coloured conditions come from different participants and different trials: so, clearly condition is a crucial factor.
These individual variations in the recordings from different participants can lead to very different levels of data quality (accuracy, precision, and data loss), even when participants have performed the same study under the same experimental conditions.
We have assumed that the triangulated result is the most accurate one, based on consistency of the data from different sources, verification by the participant, consistency within the IDI text when it is analysed in detail, numbers of returned gel applicators, and the absence of evidence to the contrary.
An advantage of this is that the algorithm can be applied separately to data from different trials, provided that the participant makes at least 5 10 fixations in each trial.
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