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For the intended interpretation, variables take classes the totalities corresponding to certain properties as values.
We analysed relationships between the interpretation variables and impact variables and the trust variables.
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We now define a relation of satisfaction between interpretations, variable-assignments, and formulas of L1K=.
The dialogue system for free logic shows the importance of taking the choice of an interpretation for variables as an explicit move.
A varimax orthogonal rotation was used to produce a rotated component matrix that facilitated the interpretation of variables that composed each factor.
For ease of interpretation continuous variables are presented as medians with interquartile ranges (IQR).
For better interpretation, most variables were dichotomized and described using percentages.
To facilitate interpretation, both variables are centred around the grand mean.
In an exploratory study such as ours, interpretation of variables in the final model is not straightforward.
This is unlikely to have lead to bias against single interventions or group of interventions, but may have involved a particular interpretation of variables extracted across all studies.
While all measures hypothesized as being part of the model in Figure 1 were included in the analysis, for the sake of parsimony and interpretation indicator variables for each mediator/moderator were chosen as shown in Figure 2.
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