Yet these latter supposed outcomes of scenario planning remain under-theorized and largely untested.
The present study seeks to investigate the extent to which the Acceptance and Action Questionnaire (AAQ-II) is successful in discriminating between experiential avoidance/psychological flexibility on the one hand and the supposed outcomes in terms of psychological well-being of having this trait on the other.
The interviews were performed 11 to 16 years after the exposure to the changes, and also long after the supposed outcomes had occurred, which may have led to recall bias and loss of detail.
Suppose outcome X is the outcome of interest in stage j and outcome Y is of interest in stage k with j< k and denote the observed treatment effects by θ ^ j = π ^ j E − π ^ j C and θ ^ k = π ^ k E − π ^ k C respectively.
The outcome was compared to the supposed logical outcome.
In addition, the causal pathways between supposed improved outcomes and IBCT applications in diabetes care remained unclear, because of lack of clarity in how technological innovations of IBCTs were defined and how their impact was measured [ 21].
To see this intuitively, suppose some outcome description o can be parsed into two distinct outcome descriptions, o1 and o2, where o is equivalent to (o1∨o2), and suppose that hi differs from hj much more on the likelihood of o1 than on the likelihood of o2.
I wouldn't advise it as an approach but I suppose the outcome is what really mattered.
Suppose some outcome would be extremely beneficial to me, though indifferent (or worse) when considered impartially.
Suppose an outcome y is binary, say y = 0,1 or 'success' and 'failure', and we are interested in the relation between some explanatory variables x and the probability of the outcome, Pr y = 1|x).
